@Article{info:doi/10.2196/66772, author="Liang, Bingyu and Xu, Chen and Wang, Bingyi and Li, Xinyi and Peng, Xin and Wang, Ying and Li, Hui and Lu, Yong and Shen, Xiaopei and Ouyang, Lin and Wu, Guohui and Yu, Maohe and Liu, Jiewei and Meng, Xiaojun and Cai, Yong and Zou, Huachun", title="Sexual Response Problems and Their Correlates Among Older Adults From the Sexual Well-Being (SWELL) Study in China: Multicenter Cross-Sectional Study", journal="JMIR Aging", year="2025", month="May", day="1", volume="8", pages="e66772", keywords="dysfunction", keywords="sexual health", keywords="sexual well-being", keywords="sexually active", keywords="sexual activity", keywords="well-being", keywords="correlate", keywords="sex partner relationship", keywords="gerontology", keywords="geriatrics", keywords="older adults", keywords="elder", keywords="elderly", keywords="older person", keywords="aging", keywords="China", keywords="cross-sectional study", abstract="Background: Sexual response problems among older adults are not an inevitable consequence of aging but rather a response to sexual health. However, there is a lack of recent and multicenter data on this issue in China. Objective: This study aims to assess the prevalence of sexual response problems and their correlates among older adults. Methods: A multicenter cross-sectional study on sexual well-being was conducted among individuals aged more than 50 years in China between June 2020 and December 2022. Data on sociodemographics, physical health, psychological health, and sexual response problems were collected through face-to-face interviews. We included sexually active older adults who reported either vaginal, oral, or anal sex in the past 12 months for this study. Sexual response problems included a lack of interest or enjoyment in sex; feeling anxious, having pain, or no excitement during sex; no desire or orgasms; and the lack of lubrication in sex. The stepwise logistic regression models were used to examine the correlates of sexual response problems. Results: A total of 1317 sexually active older adults (842 men, 475 women) were included. Older women reported a higher prevalence of sexual response problems than older men (52.0\% [247/475] vs 43.1\% [363/842]). Common factors associated with at least one of the sexual response problems included living in rural areas (men: adjusted odds ratio [aOR]=0.31, 95\% CI 0.22?0.43; women: aOR=0.29, 95\% CI 0.19?0.43) and abnormal BMI (aOR=men: 1.52, 95\% CI1.11?2.07; women: aOR=2.19, 95\% CI 1.47?3.28). Among older men, sleep quality (aOR=1.87, 95\% CI 1.30?2.68), emotional connection with sex partners during sexual intercourse (aOR=0.69, 95\% CI 0.50?0.96), frequently experienced fatigue (aOR=2.47, 95\% CI 1.59?3.90), anxiety (aOR=4.26, 95\% CI 1.12?21.27), and seeking professional help for sex life (aOR=1.58, 95\% CI 1.14?2.21) were associated with sexual response problems. Among older women, sexual response problems were associated with a lack of physical exercise (aOR=1.69, 95\% CI 1.13?2.54), poor sex-partner relationships (aOR=1.70, 95\% CI 1.12?2.60), and depressive symptoms (aOR=3.18, 95\% CI 1.18?10.24). Conclusions: Sexual response problems are common among older adults. These problems were associated with adverse physical health, mental health, and poor sex-partner relationships. These findings highlight the importance for health care providers to take into account the physical and psychological health of older adults, as well as the quality of their relationships with sexual partners when diagnosing and addressing sexual response problems. ", doi="10.2196/66772", url="https://aging.jmir.org/2025/1/e66772" } @Article{info:doi/10.2196/66180, author="Shu, Sara and Woo, P. Benjamin K.", title="Applications of Self-Driving Vehicles in an Aging Population", journal="JMIR Form Res", year="2025", month="Apr", day="28", volume="9", pages="e66180", keywords="self-driving", keywords="driverless", keywords="driver", keywords="autonomous vehicles", keywords="car", keywords="transportation", keywords="mobility", keywords="travel", keywords="vehicle", keywords="driving", keywords="artificial intelligence", keywords="gerontology", keywords="geriatric", keywords="older", keywords="elderly", keywords="aging", keywords="healthy aging", keywords="older adult", keywords="autonomy", keywords="independence", keywords="aging in place", keywords="health equity", doi="10.2196/66180", url="https://formative.jmir.org/2025/1/e66180" } @Article{info:doi/10.2196/64115, author="Gao, Jiamin and Zhang, Yuying and Jiang, Xiaqing and Fu, Zhenjing and Jiang, Haochen", title="Evaluating the Effectiveness of Community-Delivered Hearing Rehabilitation and Health Education Intervention on Social Isolation and Functioning Among Chinese Adults With Hearing Impairment: Protocol for Randomized Controlled Trial", journal="JMIR Res Protoc", year="2025", month="Apr", day="28", volume="14", pages="e64115", keywords="hearing impairment", keywords="social isolation", keywords="functioning", keywords="community-delivered hearing interventions", keywords="randomized controlled trial", abstract="Background: Hearing impairment (HI) is a common sensory deficit with considerable impacts on social well-being (SWB) in adults. Evidence on the effectiveness of auditory rehabilitation and hearing health education in the social domain of health for individuals with HI is scarce. Objective: This study aims to test the feasibility and efficacy of providing free hearing aids or a combined offline and online hearing health education intervention on social isolation and functioning among Chinese adults with HI. Methods: This study is a 3-arm, single-blinded, randomized controlled trial (RCT) with a follow-up at 24 months after the baseline study. A total of 435 participants aged 18 years and older with some degree of HI will be recruited and randomly assigned to 2 intervention groups and 1 control group. Free hearing-aid provision, as well as a hearing health education program that is combined with online and offline lessons, will be implemented in 2 intervention groups, respectively. The control group will not receive any intervention. The primary outcomes include social isolation and functioning in society. The secondary outcomes include social engagement, a sense of mastery, self-efficacy, psychological resilience, chronic diseases, life satisfaction, hearing health literacy, and hearing care usage. Results: Participants were recruited for hearing tests in September 2022, during which baseline results were collected through in-person interviews. Follow-up interviews were conducted in September 2024. The primary analysis will use ANOVA, linear mixed-effects modeling, structural equation modeling, and cost-effectiveness analysis. Conclusions: The findings of this study will provide evidence for the impact and cost-effectiveness of a community-based auditory or hearing health education intervention on SWB among Chinese adults with HI, which may contribute to promoting hearing health and reducing adverse health consequences in an aging society. Trial Registration: Chinese Clinical Trial Registry ChiCTR2200062148; https://www.chictr.org.cn/showproj.html?proj=174741 International Registered Report Identifier (IRRID): DERR1-10.2196/64115 ", doi="10.2196/64115", url="https://www.researchprotocols.org/2025/1/e64115" } @Article{info:doi/10.2196/64449, author="Gustafson Sr, H. David and Mares, Marie-Louise and Johnston, C. Darcie and Curtin, J. John and Pe-Romashko, Klaren and Landucci, Gina", title="Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial", journal="JMIR Res Protoc", year="2025", month="Apr", day="3", volume="14", pages="e64449", keywords="eHealth", keywords="aged", keywords="geriatrics", keywords="functional health", keywords="multiple chronic conditions", keywords="smart display", keywords="smart speaker", keywords="primary care", keywords="quality of life", abstract="Background: Maintaining functional health, or the ability to live independently, is a primary goal of individuals as they age, but most older adults develop chronic conditions that threaten this goal. Physical activity is a key aspect of self-care that can improve functional health, and digital interventions offering guidance on appropriate exercise can help. However, older adults with multiple morbidities may be unable to use a laptop or smartphone-based eHealth because poor vision, dexterity, mobility, or other physical challenges make typing or touch navigation difficult. A smart display platform---comprising a smart speaker plus a small visual screen---has the potential to remove these barriers because it is voice-activated. Objective: The study aims to compare usage patterns of an eHealth intervention for older adults when delivered via a voice-based smart display versus a typing-based laptop, and assess whether the smart display outperforms the laptop in improving functional health and its specific physical and mental aspects. Methods: A minimum of 356 adults aged 60 years and older with at least 5 chronic health conditions are to be recruited from primary care clinics and community organizations. Participants will be randomized 1:1 to 12 months of access to an evidence-based intervention, ElderTree, delivered on either a smart display or a touchscreen laptop, with a postintervention follow-up at 18 months. The primary outcome is differences between groups on a comprehensive measure of physical and mental functional health. Secondary outcomes are between-group differences in the subscales of functional health (eg, physical function and depression), as well as measures of health distress, loneliness, unscheduled health care, and falls. We will also examine mediators and moderators of the effects of ElderTree on both platforms. Participants will complete surveys at baseline, 6, 12, and 18 months, and ElderTree use data will be collected continuously during the intervention period in system logs. We will use linear mixed-effect models to evaluate outcomes over time, with treatment condition and time point as between-subjects factors. Separate analyses will be conducted for each outcome. Results: Recruitment began in July 2023 and was completed in May 2024, with 387 participants enrolled. The 12-month intervention period will end in May 2025; data collection will end in November 2025. Findings will be disseminated via peer-reviewed publications. Conclusions: Voice-activated digital health interventions have theoretical but untested advantages over typing-based technologies for older adults with physical limitations. As the population ages, and as multiple morbidities threaten the functional health of the majority of older adults, innovations in self-management are a matter of public health as well as individual quality of life. Trial Registration: ClinicalTrials.gov NCT05240534; https://clinicaltrials.gov/study/NCT05240534 International Registered Report Identifier (IRRID): DERR1-10.2196/64449 ", doi="10.2196/64449", url="https://www.researchprotocols.org/2025/1/e64449", url="http://www.ncbi.nlm.nih.gov/pubmed/40080672" } @Article{info:doi/10.2196/66248, author="Peng, Yingchun and Zhang, Zhiying and Zhang, Ruyi and Zhang, Yiyao and Wang, Runying and Zhang, Jiaying and Zhai, Shaoqi and Jin, Qilin and Zhou, Jiaojiao and Chen, Jingjing", title="Multidimensional Evaluation of the Process of Constructing Age-Friendly Communities Among Different Aged Community Residents in Beijing, China: Cross-Sectional Questionnaire Study", journal="JMIR Public Health Surveill", year="2025", month="Mar", day="21", volume="11", pages="e66248", keywords="age-friendly", keywords="positive living experience", keywords="active aging", keywords="healthy aging", keywords="community residents", keywords="older adults", keywords="age-friendly communities", keywords="multiple stakeholders", keywords="evaluating age-friendliness", keywords="urban and suburban areas", abstract="Background: The World Health Organization (WHO) has made significant efforts to promote age-friendly community initiatives (AFCI) to address the challenges of population aging. Previous studies have discussed the construction of age-friendly communities (AFC) in urban cities, evaluating AFCs often rooted in the WHO's Checklist and focused on a single group, namely older adults, overlooking the role of other age groups in community development. Objective: This study aims to evaluate AFCs from multidimensional aspects, particularly the positive living experiences of older adults, summarize the deficiencies in both hardware and software aspects in the process of constructing AFCs in China, and provide some recommendations to promote AFCIs worldwide. Methods: Using a multistage sampling strategy, 470 community residents from urban and suburban areas participated in this study. A self-designed questionnaire was designed to use a standardized method to evaluate older adults' living experiences across five dimensions, including the degree of age-friendliness in the community, social support, sense of gain, sense of happiness, and sense of security. Respondents rated each dimension on a 10-point scale. This study defined community residents into 3 groups: residents younger than 45 years(Group 1: youth), those aged 45-59 years (Group 2: middle-aged), and those aged ?60 years (Group 3: old-age). Results: In this study, 382 (81.3\%) community residents were unaware of the relevant concepts of AFCs. Most participants highlighted the importance of community support and health services, followed by respect and social inclusion, and outdoor spaces and buildings. The findings showed that the highest-rated dimension was the sense of security. The mean scores for the degree of the sense of security in urban and suburban areas were 7.88 (SD 1.776) and 7.73 (SD 1.853), respectively. For Group 2, the mean scores were 7.60 (SD 2.070) and 8.03 (SD 1.662), while Group 3 had mean scores of 7.34 (SD 2.004) and 7.91 (SD 1.940). The lowest-rated dimension was social support; the mean scores for Group 1 for the degree of social support in urban and suburban areas were 7.63 (SD 1.835) and 7.48 (SD 1.918), respectively. For Group 2, the mean scores were 6.94 (SD 2.087) and 7.36 (SD 2.228), while those for Group 3 were 6.37 (SD 2.299) and 6.84 (SD 2.062). Further, there were significant differences in the scores of residents among different age groups in urban areas regarding age-friendliness (P<.001), social support, (P<.001), and sense of gain (P=.01). Conclusions: China is in the early stages of developing AFCs. We further highlight the importance of continued research on the collaboration and participation among multiple stakeholders. These outcomes have a direct and positive impact on the well?being of older adults. ", doi="10.2196/66248", url="https://publichealth.jmir.org/2025/1/e66248" } @Article{info:doi/10.2196/66061, author="Liu, Hui and Wang, Jieru and Chen, Rui and Xu, Xixing and Pang, Mingli and Feng, Kaiyuan and Li, Bingsong and Li, Qinling and Qin, Ziwei and Yan, Shuyi and Ibn Ziyat, Nabila and Kong, Fanlei", title="Migrant-Local Differences in the Relationship Between Oral Health, Social Support, and Loneliness Among Older Adults in Weifang, China: Cross-Sectional Study", journal="JMIR Public Health Surveill", year="2025", month="Mar", day="13", volume="11", pages="e66061", keywords="loneliness", keywords="oral health", keywords="social support", keywords="migrant older adults", keywords="local older adults", abstract="Background: Increased aging and accelerated urbanization have led to the migration of older adults within China. Migrant older adults (MOAs) may experience physical and psychological discomfort in influx cities, and they are a vulnerable group that has emerged in the course of fast urbanization. Previous studies have confirmed the association between oral health and loneliness as well as the relationship between social support and loneliness; however, no research has been done to clarify the underlying mechanisms and the migrant-local difference between oral health, social support, and loneliness. Objective: This study aimed to test the association between oral health, social support, and loneliness among Chinese older adults, as well as the migrant-local difference on the above relationship. Methods: Multistage cluster random sampling was used to enroll a total of 1205 participants, including 613 MOAs and 592 local older adults (LOAs). Loneliness was assessed by the 6-item short-form UCLA Loneliness Scale; oral health was measured via the Chinese version Geriatric Oral Health Assessment Index (GOHAI); social support was evaluated by the Social Support Rating Scale (SSRS). Descriptive analysis, $\chi$2 tests, and t tests were conducted. Multigroup structural equation modeling (SEM) was employed to clarify the migrant-local difference on the association between oral health, social support, and loneliness among MOAs and LOAs. Results: The mean score of loneliness was 8.58 (SD 3.032) for MOAs and 8.00 (SD 2.790) for LOAs. Oral health and social support were found to be negatively related to loneliness among MOAs and LOAs; the standardized direct effects for MOAs were ?0.168 and ?0.444 (P<.001), and they were ?0.243 and ?0.392 (P<.001) for LOAs, respectively. Oral health generated a direct positive effect on social support, and the direct effect was 0.186 for MOAs (P<.001) and 0.247 for LOAs (P<.001). Conclusions: Loneliness was fairly low among older adults in Weifang, China, while MOAs showed higher loneliness than LOAs. Oral health had both direct and indirect negative effects on loneliness among MOAs and LOAs, with no significant path differences between MOAs and LOAs. Social support was found to be negatively associated with loneliness for both MOA and LOA, while the association was stronger among MOAs than LOAs. Oral health exerted a significantly positive effect on social support for both MOAs and LOAs, while no significant difference existed between them. Measures should be taken by the government, society, and families to increase social support, improve oral health, and further reduce loneliness among MOAs and LOAs. ", doi="10.2196/66061", url="https://publichealth.jmir.org/2025/1/e66061" } @Article{info:doi/10.2196/65776, author="Wolfe, H. Brooke and Oh, Jung Yoo and Choung, Hyesun and Cui, Xiaoran and Weinzapfel, Joshua and Cooper, Amanda R. and Lee, Hae-Na and Lehto, Rebecca", title="Caregiving Artificial Intelligence Chatbot for Older Adults and Their Preferences, Well-Being, and Social Connectivity: Mixed-Method Study", journal="J Med Internet Res", year="2025", month="Mar", day="13", volume="27", pages="e65776", keywords="older adults", keywords="technology use", keywords="AI chatbots", keywords="artificial intelligence", keywords="well-being", keywords="social connectedness", keywords="mobile phone", abstract="Background: The increasing number of older adults who are living alone poses challenges for maintaining their well-being, as they often need support with daily tasks, health care services, and social connections. However, advancements in artificial intelligence (AI) technologies have revolutionized health care and caregiving through their capacity to monitor health, provide medication and appointment reminders, and provide companionship to older adults. Nevertheless, the adaptability of these technologies for older adults is stymied by usability issues. This study explores how older adults use and adapt to AI technologies, highlighting both the persistent barriers and opportunities for potential enhancements. Objective: This study aimed to provide deeper insights into older adults' engagement with technology and AI. The technologies currently used, potential technologies desired for daily life integration, personal technology concerns faced, and overall attitudes toward technology and AI are explored. Methods: Using mixed methods, participants (N=28) completed both a semistructured interview and surveys consisting of health and well-being measures. Participants then participated in a research team--facilitated interaction with an AI chatbot, Amazon Alexa. Interview transcripts were analyzed using thematic analysis, and surveys were evaluated using descriptive statistics. Results: Participants' average age was 71 years (ranged from 65 years to 84 years). Most participants were familiar with technology use, especially using smartphones (26/28, 93\%) and desktops and laptops (21/28, 75\%). Participants rated appointment reminders (25/28, 89\%), emergency assistance (22/28, 79\%), and health monitoring (21/28, 75\%). Participants rated appointment reminders (25/28, 89.3\%), emergency assistance (22/28, 78.6\%), and health monitoring (21/28, 75\%) as the most desirable features of AI chatbots for adoption. Digital devices were commonly used for entertainment, health management, professional productivity, and social connectivity. Participants were most interested in integrating technology into their personal lives for scheduling reminders, chore assistance, and providing care to others. Challenges in using new technology included a commitment to learning new technologies, concerns about lack of privacy, and worries about future technology dependence. Overall, older adults' attitudes coalesced into 3 orientations, which we label as technology adapters, technologically wary, and technology resisters. These results illustrate that not all older adults were resistant to technology and AI. Instead, older adults are aligned with categories on a spectrum between willing, hesitant but willing, and unwilling to use technology and AI. Researchers can use these findings by asking older adults about their orientation toward technology to facilitate the integration of new technologies with each person's comfortability and preferences. Conclusions: To ensure that AI technologies effectively support older adults, it is essential to foster an ongoing dialogue among developers, older adults, families, and their caregivers, focusing on inclusive designs to meet older adults' needs. ", doi="10.2196/65776", url="https://www.jmir.org/2025/1/e65776" } @Article{info:doi/10.2196/64352, author="Gomes da Rocha, Carla and von Gunten, Armin and Vandel, Pierre and Jopp, S. Daniela and Ribeiro, Olga and Verloo, Henk", title="Building Consensus on the Relevant Criteria to Screen for Depressive Symptoms Among Near-Centenarians and Centenarians: Modified e-Delphi Study", journal="JMIR Aging", year="2025", month="Mar", day="5", volume="8", pages="e64352", keywords="centenarians", keywords="near-centenarians", keywords="depressive symptoms", keywords="depression diagnosis", keywords="screening", keywords="assessment", keywords="e-Delphi technique", keywords="web-based survey", abstract="Background: The number of centenarians worldwide is expected to increase dramatically, reaching 3.4 million by 2050 and >25 million by 2100. Despite these projections, depression remains a prevalent yet underdiagnosed and undertreated condition among this population that carries significant health risks. Objective: This study aimed to identify and achieve consensus on the most representative signs and symptoms of depression in near-centenarians and centenarians (aged ?95 years) through an e-Delphi study with an international and interdisciplinary panel of experts. Ultimately, the outcomes of this study might help create a screening instrument that is specifically designed for this unique population. Methods: A modified e-Delphi study was carried out to achieve expert consensus on depressive symptoms in near-centenarians and centenarians. A panel of 28 international experts was recruited. Consensus was defined as 70\% agreement on the relevance of each item. Data were collected through a web-based questionnaire over 3 rounds. Experts rated 104 items that were divided into 24 dimensions and 80 criteria to identify the most representative signs and symptoms of depression in this age group. Results: The panel consisted of experts from various countries, including physicians with experience in old age psychiatry or geriatrics as well as nurses and psychologists. The response rate remained consistent over the rounds (20/28, 71\% to 21/28, 75\%). In total, 4 new dimensions and 8 new criteria were proposed by the experts, and consensus was reached on 86\% (24/28) of the dimensions and 80\% (70/88) of the criteria. The most consensual potentially relevant dimensions were lack of hope (21/21, 100\%), loss of interest (27/28, 96\%), lack of reactivity to pleasant events (27/28, 96\%), depressed mood (26/28, 93\%), and previous episodes of depression or diagnosed depression (19/21, 90\%). In addition, the most consensual potentially relevant criteria were despondency, gloom, and despair (25/25, 100\%); depressed (27/27, 100\%); lack of reactivity to pleasant events or circumstances (28/28, 100\%); suicidal ideation (28/28, 100\%); suicide attempt(s) (28/28, 100\%); ruminations (27/28, 96\%); recurrent thoughts of death or suicide (27/28, 96\%); feelings of worthlessness (25/26, 96\%); critical life events (20/21, 95\%); anhedonia (20/21, 95\%); loss of interest in activities (26/28, 93\%); loss of pleasure in activities (26/28, 93\%); and sadness (24/26, 92\%). Moreover, when assessing depression in very old age, the duration, number, frequency, and severity of signs and symptoms should also be considered, as evidenced by the high expert agreement. Conclusions: The classification of most elements as relevant highlights the importance of a multidimensional approach for optimal depression screening among individuals of very old age. This study offers a first step toward improving depression assessment in near-centenarians and centenarians. The development of a more adapted screening tool could improve early detection and intervention, enhancing the quality of mental health care for this population. ", doi="10.2196/64352", url="https://aging.jmir.org/2025/1/e64352", url="http://www.ncbi.nlm.nih.gov/pubmed/40053803" } @Article{info:doi/10.2196/65379, author="Deng, Cheng and Shen, Na and Li, Guangzhou and Zhang, Ke and Yang, Shijun", title="Digital Isolation and Dementia Risk in Older Adults: Longitudinal Cohort Study", journal="J Med Internet Res", year="2025", month="Feb", day="19", volume="27", pages="e65379", keywords="dementia", keywords="digital isolation", keywords="cognitive decline", keywords="older adults", keywords="elderly", keywords="geriatric", keywords="longitudinal cohort study", keywords="cognitive impairment", keywords="aging", keywords="social isolation", keywords="risk", keywords="digital engagement", abstract="Background: Dementia poses a significant global health challenge, characterized by progressive cognitive decline and functional impairment. With the aging global population, dementia prevalence is projected to surge, reaching an estimated 153 million cases by 2050. While the impact of traditional social isolation on dementia risk has been extensively studied, the influence of digital isolation, a phenomenon unique to the digital age, remains underexplored. Objective: This study aimed to investigate the association between digital isolation and dementia risk among older adults, hypothesizing that higher levels of digital isolation significantly increase the risk of developing dementia. Methods: We conducted a longitudinal cohort study using data from the National Health and Aging Trends Study (NHATS), analyzing 8189 participants aged 65 years and older from the 3rd (2013) to the 12th wave (2022). Digital isolation was quantified using a composite digital isolation index, derived from participants' usage of digital devices, electronic communication, internet access, and engagement in online activities. Participants were stratified into low isolation and moderate to high isolation groups. Dementia incidence was assessed using cognitive tests and proxy reports. Cox proportional hazards models were used to estimate the association between digital isolation and dementia risk, adjusting for potential confounders including sociodemographic factors, baseline health conditions, and lifestyle variables. Results: The moderate to high isolation group demonstrated a significantly elevated risk of dementia compared with the low isolation group. In the discovery cohort, the adjusted hazard ratio (HR) was 1.22 (95\% CI 1.01-1.47, P=.04), while the validation cohort showed an HR of 1.62 (95\% CI 1.27-2.08, P<.001). The pooled analysis across both cohorts revealed an adjusted HR of 1.36 (95\% CI 1.16-1.59, P<.001). Kaplan-Meier curves corroborated a higher incidence of dementia in the moderate to high isolation group. Conclusions: Our findings indicate that digital isolation is a significant risk factor for dementia among older adults. This study underscores the importance of digital engagement in mitigating dementia risk and suggests that promoting digital literacy and access to digital resources should be integral components of public health strategies aimed at dementia prevention. ", doi="10.2196/65379", url="https://www.jmir.org/2025/1/e65379", url="http://www.ncbi.nlm.nih.gov/pubmed/39969956" } @Article{info:doi/10.2196/59023, author="Yang, Lu and Lynch, Chris and Lee, Tayu John and Oldenburg, Brian and Haregu, Tilahun", title="Understanding the Association Between Home Broadband Connection and Well-Being Among Middle-Aged and Older Adults in China: Nationally Representative Panel Data Study", journal="J Med Internet Res", year="2025", month="Feb", day="10", volume="27", pages="e59023", keywords="digital divide", keywords="health inequity", keywords="China", keywords="longitudinal study", keywords="broadband", keywords="internet connection", keywords="internet", keywords="well-being", keywords="psychosocial", keywords="middle age", keywords="older adult", keywords="inequality", keywords="digital connectivity", keywords="logistic regression", keywords="questionnaire", keywords="survey", keywords="panel data approach", abstract="Background: Access to digital technology is among the major social determinants of health, and digital divide impacts health inequality. Yet, the impact of digital connectivity on the well-being and psychosocial outcomes in adults has not been fully studied. Objective: The aim of this study was to investigate the association of home broadband connection with health and well-being of middle-aged adults and adults older than 45 years in China. Methods: A panel data study design of the national sample of China Health and Retirement Longitudinal Study (CHARLS) was conducted in 2015, 2018, and 2020. This study included 16,185 participants older than 45 years. The associations between digital connectivity (home broadband connection), loneliness, social participation, and life satisfaction were assessed using mixed effects logistic regression models, adjusting for socioeconomic factors, behavioral factors, and locality. Broadband internet connectivity, feelings of loneliness, social participation, and satisfaction with life were measured using the self-reported CHARLS questionnaire. Results: We observed a substantial increase in digital connectivity from 29.5\% in 2015 to 59.8\% in 2020. Broadband internet connection at home was positively correlated with social participation (adjusted odds ratio [AOR] 1.34, 95\% CI 1.28-1.41) and life satisfaction (AOR 1.30, 95\% CI 1.20-1.40), after adjusting for confounding factors, while the absence of broadband internet connection was associated with increased loneliness (AOR 0.81, 95\% CI 0.77-0.86). These associations were consistent across age, gender, socioeconomic groups, and geographic areas. Conclusions: This study highlights the potential additional health benefits of digital connectivity beyond the known advantages. Our results suggest the importance of expanding broadband access to enhance social inclusion and life satisfaction. Further research is needed to understand the broader implications and digital determinants of health associated with digital connectivity. ", doi="10.2196/59023", url="https://www.jmir.org/2025/1/e59023" } @Article{info:doi/10.2196/68163, author="Jung, Hyein and Lee, Hocheol and Nam, Woo Eun", title="Mediating Effect of Social Capital on the Association Between Digital Literacy and Life Satisfaction Among Older Adults in South Korea: Cross-Sectional Study", journal="JMIR Form Res", year="2025", month="Feb", day="6", volume="9", pages="e68163", keywords="digital literacy", keywords="digital access", keywords="digital competency", keywords="digital utilization", keywords="life satisfaction", keywords="older adults", keywords="social capital", keywords="mediating effect", keywords="aging", abstract="Background: As Korea rapidly transforms into a super-aged society, research indicates that digital literacy among older adults enhances their life satisfaction. Digital literacy refers to the ability to efficiently use digital technologies, encompassing access, competency, and utilization. It reflects the capacity to navigate and benefit from digital environments effectively. Furthermore, social capital positively influences the quality of life, and digital literacy facilitates social capital formation. However, since most studies have only focused on the direct relationship between digital literacy and life satisfaction, research on the mediating role of social capital remains limited. Objective: To analyze the effect of digital literacy on the life satisfaction of older adults in South Korea and to verify whether social capital acts as a mediating factor in this process. Methods: This descriptive cross-sectional study used data from the 2023 Report on the Digital Divide---an annual survey conducted by the Korean Ministry of Science and Information and Communications Technology. The study targeted individuals aged 65 years or older. Descriptive statistics, the Pearson correlation analyses, and the 3-step multiple regression analysis proposed by Baron and Kenny were performed. The bootstrap method was employed, and all analyses were conducted using R, version 4.4.1. Results: The study included 869 participants. Digital literacy had a significant positive effect on their life satisfaction ($\beta$=0.103; P=.008). Social capital was also positively associated with life satisfaction ($\beta$=0.337; P<.001). Mediation analysis showed that digital literacy influenced life satisfaction both directly ($\beta$=0.103; P=.006) and indirectly through social capital ($\beta$=0.037; P=.03). Bootstrapping confirmed the significance of the indirect effect ($\beta$=0.037, 95\% CI 0.005?0.070; P=.03). The total effect of digital literacy on life satisfaction was also significant ($\beta$=0.140, 95\% CI 0.058?0.230; P=.002). Conclusions: This study analyzed the association between digital literacy, social capital, and life satisfaction among older adults in Korea. We identified that social capital mediates the association between digital literacy and life satisfaction among older adults. These findings indicate that tailored digital literacy programs and support policies that promote social capital formation could help bridge the digital divide and foster social inclusion. These measures would enable older adults to access essential services, reduce social isolation, and enhance health and well-being, ultimately improving the overall quality of life. ", doi="10.2196/68163", url="https://formative.jmir.org/2025/1/e68163" } @Article{info:doi/10.2196/65399, author="Guo, Lin and Li, Yunwei and Cheng, Kai and Zhao, Ying and Yin, Wenqiang and Liu, Ying", title="Impact of Internet Usage on Depression Among Older Adults: Comprehensive Study", journal="J Med Internet Res", year="2025", month="Jan", day="31", volume="27", pages="e65399", keywords="internet usage", keywords="depression", keywords="older people", keywords="mechanism", keywords="heterogeneity", keywords="mobile phone", abstract="Background: Depression is a widespread mental health issue affecting older adults globally, with substantial implications for their well-being. Although digital interventions have proven effective in high-income countries, research on the potential of internet usage to alleviate depression among older adults in high-income countries remains limited. Objective: This study aimed to examine the impact of internet usage on depression among older adults in high-income countries by developing a comprehensive theoretical framework and testing key hypotheses. Methods: Using data from the China Health and Retirement Longitudinal Study (CHARLS), a 2-stage instrumental variable approach was applied to address endogeneity and estimate causal relationships between internet usage and depression. Results: The findings indicate that internet usage results in a 1.41\% reduction in depression levels among older adults. This effect is mediated by four primary mechanisms: (1) enhanced social interaction, (2) increased physical activity, (3) improved intergenerational contact, and (4) expanded access to educational opportunities. A heterogeneity analysis revealed that these effects are more pronounced in urban areas, eastern regions, and regions with superior internet infrastructure. Conclusions: Internet usage plays a crucial role in alleviating depression among older adults in high-income countries, with regional variations. The findings highlight the need for targeted policy interventions to improve internet access and digital literacy, which can mitigate depression and enhance the mental health of older adults. ", doi="10.2196/65399", url="https://www.jmir.org/2025/1/e65399" } @Article{info:doi/10.2196/64763, author="Shade, Marcia and Yan, Changmin and Jones, K. Valerie and Boron, Julie", title="Evaluating Older Adults' Engagement and Usability With AI-Driven Interventions: Randomized Pilot Study", journal="JMIR Form Res", year="2025", month="Jan", day="24", volume="9", pages="e64763", keywords="voice assistant", keywords="interventions", keywords="usability", keywords="engagement", keywords="personality", keywords="older adults", keywords="aging", keywords="technology", keywords="artificial intelligence", keywords="AI", keywords="self-management", keywords="pilot trial", keywords="chronic", keywords="musculoskeletal pain", keywords="AI assistant", keywords="Alexa", keywords="user experience", keywords="digital health", keywords="digital intervention", keywords="mobile phone", abstract="Background: Technologies that serve as assistants are growing more popular for entertainment and aiding in daily tasks. Artificial intelligence (AI) in these technologies could also be helpful to deliver interventions that assist older adults with symptoms or self-management. Personality traits may play a role in how older adults engage with AI technologies. To ensure the best intervention delivery, we must understand older adults' engagement with and usability of AI-driven technologies. Objective: This study aimed to describe how older adults engaged with routines facilitated by a conversational AI assistant. Methods: A randomized pilot trial was conducted for 12-weeks in adults aged 60 years or older, self-reported living alone, and having chronic musculoskeletal pain. Participants (N=50) were randomly assigned to 1 of 2 intervention groups (standard vs enhanced) to engage with routines delivered by the AI assistant Alexa (Amazon). Participants were encouraged to interact with prescribed routines twice daily (morning and evening) and as needed. Data were collected and analyzed on routine engagement characteristics and perceived usability of the AI assistant. An analysis of the participants' personality traits was conducted to describe how personality may impact engagement and usability of AI technologies as interventions. Results: The participants had a mean age of 79 years, with moderate to high levels of comfort and trust in technology, and were predominately White (48/50, 96\%) and women (44/50, 88\%). In both intervention groups, morning routines (n=62, 74\%) were initiated more frequently than evening routines (n=52, 62\%; z=?2.81, P=.005). Older adult participants in the enhanced group self-reported routine usability as good (mean 74.50, SD 11.90), and those in the standard group reported lower but acceptable usability scores (mean 66.29, SD 6.94). Higher extraversion personality trait scores predicted higher rates of routine initiation throughout the whole day and morning in both groups (standard day: B=0.47, P=.004; enhanced day: B=0.44, P=.045; standard morning: B=0.50, P=.03; enhanced morning: B=0.53, P=.02). Higher agreeableness (standard: B=0.50, P=.02; enhanced B=0.46, P=.002) and higher conscientiousness (standard: B=0.33, P=.04; enhanced: B=0.38, P=.006) personality trait scores predicted better usability scores in both groups. Conclusions: he prescribed interactive routines delivered by an AI assistant were feasible to use as interventions with older adults. Engagement and usability by older adults may be influenced by personality traits such as extraversion, agreeableness, and conscientiousness. While integrating AI-driven interventions into health care, it is important to consider these factors to promote positive outcomes. Trial Registration: ClinicalTrials.gov NCT05387447; https://clinicaltrials.gov/study/NCT05387447 ", doi="10.2196/64763", url="https://formative.jmir.org/2025/1/e64763" } @Article{info:doi/10.2196/64564, author="Zhang, Kaili and Huang, Bowen and Divigalpitiya, Prasanna", title="Identifying Community-Built Environment's Effect on Physical Activity and Depressive Symptoms Trajectories Among Middle-aged and Older Adults: Chinese National Longitudinal Study", journal="JMIR Public Health Surveill", year="2025", month="Jan", day="13", volume="11", pages="e64564", keywords="community-built environment", keywords="physical activity", keywords="depressive symptom trajectories", keywords="middle-aged and older adults", keywords="latent growth curve modeling", keywords="longitudinal study", abstract="Background: The effects of physical activity (PA) across different domains and intensities on depressive symptoms remain inconclusive. Incorporating the community-built environment (CBE) into longitudinal analyses of PA's impact on depressive symptoms is crucial. Objective: This study aims to examine the effects of PA at different intensities---low-intensity PA (eg, walking activities) and moderate-to-vigorous-intensity PA (eg, activities requiring substantial effort and causing faster breathing or shortness of breath)---across leisure-time and occupational domains on depressive symptom trajectories among middle-aged and older adults. Additionally, it investigated how CBEs influence depressive symptoms and PA trajectories. Methods: This longitudinal study included 6865 middle-aged and older adults from the China Health and Retirement Longitudinal Survey. A CBE variable system was developed using a community questionnaire to assess attributes of the physical built environment. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale. Latent growth curve modeling was applied to analyze 3 waves of the cohort data (2015, 2018, and 2020) to explore the differential effects of PA on depressive symptoms and the role of the CBE. Results: In the 2015 and 2018 waves, higher low-intensity leisure-time physical activity (LTPA) was associated with lower depressive symptoms ($\beta$=--.025, P=.01 and $\beta$=--.027, P=.005, respectively). Across all waves, moderate-to-vigorous-intensity LTPA showed no significant predictive effects (P=.21 in 2015, P=.57 in 2018, and P=.85 in 2020, respectively). However, higher occupational physical activity (OPA), particularly at moderate-to-vigorous intensities, was consistently associated with higher depressive symptoms. Parallel process latent growth curve modeling revealed that the initial level of total LTPA negatively predicted the initial level of depressive symptoms ($\beta$=--.076, P=.01). OPA exhibited dual effects, positively predicting the initial level of depressive symptoms ($\beta$=.108, P<.001) but negatively predicting their upward trajectory ($\beta$=--.136, P=.009). Among CBE variables, better infrastructure conditions ($\beta$=--.082, P<.001) and greater accessibility to public facilities ($\beta$=--.036, P=.045) negatively predicted the initial level of depressive symptoms. However, greater accessibility to public facilities positively predicted the upward trajectory of depressive symptoms ($\beta$=.083, P=.04). Better infrastructure conditions ($\beta$=.100, P=.002) and greater accessibility to public transport ($\beta$=.060, P=.01) positively predicted the initial level of total LTPA. Meanwhile, better infrastructure conditions ($\beta$=--.281, P<.001) and greater accessibility to public facilities ($\beta$=--.073, P<.001) negatively predicted the initial level of total OPA. Better infrastructure conditions positively predicted the declining trajectory of total OPA ($\beta$=.100, P=.004). Conclusions: This study underscores the importance of considering the differential effects of PA across domains and intensities on depressive symptoms in public policies and guidelines. Given the influence of the environment on PA and depressive symptoms, targeted community measures should be implemented. ", doi="10.2196/64564", url="https://publichealth.jmir.org/2025/1/e64564", url="http://www.ncbi.nlm.nih.gov/pubmed/39804686" } @Article{info:doi/10.2196/62824, author="Valla, Guido Luca and Rossi, Michele and Gaia, Alessandra and Guaita, Antonio and Rolandi, Elena", title="The Impact of the COVID-19 Pandemic on Oldest-Old Social Capital and Health and the Role of Digital Inequalities: Longitudinal Cohort Study", journal="J Med Internet Res", year="2025", month="Jan", day="9", volume="27", pages="e62824", keywords="older adults", keywords="information and communication technology", keywords="ICT", keywords="ICT use", keywords="COVID-19", keywords="social capital", keywords="health", keywords="mental health", keywords="digital divide", abstract="Background: During the COVID-19 pandemic, information and communication technology (ICT) became crucial for staying connected with loved ones and accessing health services. In this scenario, disparities in ICT use may have exacerbated other forms of inequality, especially among older adults who were less familiar with technology and more vulnerable to severe COVID-19 health consequences. Objective: This study investigated changes in ICT use, psychological and physical health, and social capital before and after the pandemic among the oldest old population (aged 80 years or older after the pandemic) and explored how internet use influenced these changes. Methods: We leveraged data from the InveCe.Ab study, a population-based longitudinal cohort of people born between 1935 and 1939 and living in Abbiategrasso, a municipality on the outskirts of Milan, Italy. Participants underwent multidimensional assessment at baseline (2010) and after 2, 4, 8, and 12 years. We restricted our analysis to cohort members who participated in the last wave (ie, 2022) and who did not have a diagnosis of dementia (n=391). We used linear mixed models to assess the impact of COVID-19 and time on changes in social capital, physical and psychological health, and ICT use in a discontinuity regression design while controlling for age, sex, education, and income satisfaction. Then, we assessed the influence of internet use and its interaction with COVID-19 on these changes. Results: COVID-19 had a significant impact on social relationships ($\beta$=--4.35, 95\% CI 6.38 to --2.32; P<.001), cultural activities ($\beta$=--.55, 95\% CI --0.75 to --0.35; P<.001), cognitive functioning ($\beta$=--1.00, 95\% CI --1.28 to --0.72; P<.001), depressive symptoms ($\beta$=.42, 95\% CI 0.10-0.74; P=.009), physical health ($\beta$=.07, 95\% CI 0.04-0.10; P<.001), and ICT use ($\beta$=--.11, 95\% CI --0.18 to --0.03; P=.008). Internet use predicts reduced depressive symptoms ($\beta$=--.56, 95\% CI --1.07 to --0.06; P=.03) over time. The interaction between internet use and COVID-19 was significant for cultural activities ($\beta$=--.73, 95\% CI --1.22 to --0.24; P=.003) and cognitive functioning ($\beta$=1.36, 95\% CI 0.67-2.05; P<.001). Conclusions: The pandemic had adverse effects on older adults' health and social capital. Contrary to expectations, even ICT use dropped significantly after the pandemic. Internet users maintained higher psychological health regardless of time and COVID-19 status. However, COVID-19 was associated with a steeper decline in cognitive functioning among internet nonusers. Policy makers may develop initiatives to encourage ICT adoption among older adults or strengthen their digital skills. Trial Registration: ClinicalTrials.gov NCT01345110; https://clinicaltrials.gov/study/NCT01345110 ", doi="10.2196/62824", url="https://www.jmir.org/2025/1/e62824" } @Article{info:doi/10.2196/63856, author="DeLange Martinez, Pauline and Tancredi, Daniel and Pavel, Misha and Garcia, Lorena and Young, M. Heather", title="Adapting the Technology Acceptance Model to Examine the Use of Information Communication Technologies and Loneliness Among Low-Income, Older Asian Americans: Cross-Sectional Survey Analysis", journal="JMIR Aging", year="2025", month="Jan", day="8", volume="8", pages="e63856", keywords="social isolation", keywords="loneliness", keywords="aged", keywords="older adults", keywords="Asian American", keywords="immigrant", keywords="vulnerable populations", keywords="internet", keywords="information and communication technologies", keywords="ICTs", keywords="digital divide", keywords="technology acceptance model", keywords="mobile phone", abstract="Background: Loneliness is a significant issue among older Asian Americans, exacerbated by the COVID-19 pandemic. Older age, lower income, limited education, and immigrant status heighten loneliness risk. Information communication technologies (ICTs) have been associated with decreased loneliness among older adults. However, older Asian Americans are less likely to use ICTs, particularly if they are immigrants, have limited English proficiency, or are low income. The Technology Acceptance Model posits that perceived usefulness (PU), and perceived ease of use (PEOU) are key factors in predicting technology use. Objective: This study aimed to examine associations between PU, PEOU, ICT use, and loneliness among low-income, older Asian Americans. Methods: Cross-sectional survey data were gathered from predominately older Asian Americans in affordable senior housing (N=401). Using exploratory factor analysis and Horn parallel analysis, we examined 12 survey items to identify factors accounting for variance in ICT use. We deployed structural equation modeling to explore relationships among the latent factors and loneliness, adjusting for demographic and cognitive factors. Results: Exploratory factor analysis and Horn parallel analysis revealed 3 factors that accounted for 56.48\% (6.78/12) total variance. PEOU combined items from validated subscales of tech anxiety and comfort, accounting for a 28.44\% (3.41/12) variance. ICT use combined years of technological experience, computer, tablet, and smartphone use frequency, accounting for 15.59\% (1.87/12) variance. PU combined 2 items assessing the usefulness of technology for social connection and learning and accounted for a 12.44\% (1.49/12) variance. The 3-factor structural equation modeling revealed reasonable fit indexes ($\chi$2133=345.132; P<.001, chi-square minimum (CMIN)/df = 2595, comparative fit index (CFI)=0.93, Tucker-Lewis Index (TLI)=0.88). PEOU was positively associated with PU ($\beta$=.15; P=.01); PEOU and PU were positive predictors of ICT use (PEOU $\beta$=.26, P<.001; PU $\beta$=.18, P=.01); and ICT use was negatively associated with loneliness ($\beta$=--.28, P<.001). Demographic and health covariates also significantly influenced PU, PEOU, ICT use, and loneliness. English proficiency and education positively predicted PEOU (r=0.25, P<.001; r=0.26, P<.001) and ICT use ($\beta$=1.66, P=.03; $\beta$=.21, P<.001), while subjective cognitive decline and Asian ethnicity were positively associated with loneliness ($\beta$=.31, P<.001; $\beta$=.25, P<.001). Conclusions: This study suggests that targeted interventions enhancing PU or PEOU could increase ICT acceptance and reduce loneliness among low-income Asian Americans. Findings also underscore the importance of considering limited English proficiency and subjective cognitive decline when designing interventions and in future research. ", doi="10.2196/63856", url="https://aging.jmir.org/2025/1/e63856" } @Article{info:doi/10.2196/60483, author="Chadwick, Helen and Laverty, Louise and Finnigan, Robert and Elias, Robert and Farrington, Ken and Caskey, J. Fergus and van der Veer, N. Sabine", title="Engagement With Digital Health Technologies Among Older People Living in Socially Deprived Areas: Qualitative Study of Influencing Factors", journal="JMIR Form Res", year="2024", month="Dec", day="26", volume="8", pages="e60483", keywords="aged", keywords="digital health", keywords="health equity", keywords="intersectionality, qualitative research", keywords="social deprivation", abstract="Background: The potential benefits of incorporating digital technologies into health care are well documented. For example, they can improve access for patients living in remote or underresourced locations. However, despite often having the greatest health needs, people who are older or living in more socially deprived areas may be less likely to have access to these technologies and often lack the skills to use them. This puts them at risk of experiencing further health inequities. In addition, we know that digital health inequities associated with older age may be compounded by lower socioeconomic status. Yet, there is limited research on the intersectional barriers and facilitators for engagement with digital health technology by older people who are particularly marginalized. Objective: This study aimed to explore factors influencing engagement with digital health technologies among people at the intersection of being older and socially deprived. Methods: We conducted semistructured interviews with people who were 70 years or older, living in a socially deprived area, or both. Chronic kidney disease was our clinical context. We thematically analyzed interview transcripts using the Unified Theory of Acceptance and Use of Technology as a theoretical framework. Results: We interviewed 26 people. The majority were White British (n=20) and had moderate health and digital literacy levels (n=10 and n=11, respectively). A total of 13 participants were 70 years of age or older and living in a socially deprived area. Across participants, we identified 2 main themes from the interview data. The first showed that some individuals did not use digital health technologies due to a lack of engagement with digital technology in general. The second theme indicated that people felt that digital health technologies were ``not for them.'' We identified the following key engagement factors, with the first 2 particularly impacting participants who were both older and socially deprived: lack of opportunities in the workplace to become digitally proficient; lack of appropriate support from family and friends; negative perceptions of age-related social norms about technology use; and reduced intrinsic motivation to engage with digital health technology because of a perceived lack of relevant benefits. Participants on the intersection of older age and social deprivation also felt significant anxiety around using digital technology and reported a sense of distrust toward digital health care. Conclusions: We identified factors that may have a more pronounced negative impact on the health equity of older people living in socially deprived areas compared with their counterparts who only have one of these characteristics. Successful implementation of digital health interventions therefore warrants dedicated strategies for managing the digital health equity impact on this group. Future studies should further develop these strategies and investigate their effectiveness, as well as explore the influence of related characteristics, such as educational attainment and ethnicity. ", doi="10.2196/60483", url="https://formative.jmir.org/2024/1/e60483" } @Article{info:doi/10.2196/57622, author="Probst, Freya and Rees, Jessica and Aslam, Zayna and Mexia, Nikitia and Molteni, Erika and Matcham, Faith and Antonelli, Michela and Tinker, Anthea and Shi, Yu and Ourselin, Sebastien and Liu, Wei", title="Evaluating a Smart Textile Loneliness Monitoring System for Older People: Co-Design and Qualitative Focus Group Study", journal="JMIR Aging", year="2024", month="Dec", day="17", volume="7", pages="e57622", keywords="loneliness", keywords="smart textiles", keywords="wearable technology", keywords="health monitoring", keywords="older people", keywords="co-design", keywords="design requirement", keywords="mobile phone", abstract="Background: Previous studies have explored how sensor technologies can assist in in the detection, recognition, and prevention of subjective loneliness. These studies have shown a correlation between physiological and behavioral sensor data and the experience of loneliness. However, little research has been conducted on the design requirements from the perspective of older people and stakeholders in technology development. The use of these technologies and infrastructural questions have been insufficiently addressed. Systems generally consist of sensors or software installed in smartphones or homes. However, no studies have attempted to use smart textiles, which are fabrics with integrated electronics. Objective: This study aims to understand the design requirements for a smart textile loneliness monitoring system from the perspectives of older people and stakeholders. Methods: We conducted co-design workshops with 5 users and 6 stakeholders to determine the design requirements for smart textile loneliness monitoring systems. We derived a preliminary product concept of the smart wearable and furniture system. Digital and physical models and a use case were evaluated in a focus group study with older people and stakeholders (n=7). Results: The results provided insights for designing systems that use smart textiles to monitor loneliness in older people and widen their use. The findings informed the general system, wearables and furniture, materials, sensor positioning, washing, sensor synchronization devices, charging, intervention, and installation and maintenance requirements. This study provided the first insight from a human-centered perspective into smart textile loneliness monitoring systems for older people. Conclusions: We recommend more research on the intervention that links to the monitored loneliness in a way that addresses different needs to ensure its usefulness and value to people. Future systems must also reflect on questions of identification of system users and the available infrastructure and life circumstances of people. We further found requirements that included user cooperation, compatibility with other worn medical devices, and long-term durability. ", doi="10.2196/57622", url="https://aging.jmir.org/2024/1/e57622", url="http://www.ncbi.nlm.nih.gov/pubmed/39688889" } @Article{info:doi/10.2196/63907, author="Jeon, Sangha and Charles, Turk Susan", title="Internet-Based Social Activities and Cognitive Functioning 2 Years Later Among Middle-Aged and Older Adults: Prospective Cohort Study", journal="JMIR Aging", year="2024", month="Dec", day="10", volume="7", pages="e63907", keywords="online social interaction", keywords="cognitive health", keywords="age differences", keywords="Health and Retirement Study", keywords="social activity", keywords="internet use", keywords="isolation", abstract="Background: A number of studies document the benefits of face-to-face social interactions for cognitive functioning among middle-aged and older adults. Social activities in virtual worlds may confer similar if not enhanced cognitive benefits as face-to-face social activities, given that virtual interactions require the additional cognitive tasks of learning and navigating communicative tools and technology platforms. Yet, few studies have examined whether social activities in internet-based settings may have synergistic effects on cognitive functioning beyond those of face-to-face interactions. Objective: This study examined whether internet-based social activity participation is associated with concurrent and later cognitive functioning, after adjusting for face-to-face social activity participation and sociodemographic covariates. Methods: For cross-sectional analyses, we included 3650 adults aged 50 years and older who completed questions in the 2020 Health and Retirement Study about social activity participation, including specific internet-based social activities such as emailing or accessing social networks. Cognitive functioning was measured using the standardized cognitive tasks assessing working memory, episodic memory, and attention and processing speed. The longitudinal analyses included the 2034 participants who also completed follow-up cognitive assessments in 2022. Results: Our results revealed that those with higher levels of internet-based social activity participation had higher levels of concurrent cognitive functioning than those with low levels of internet-based social activity participation, after adjusting for demographic and health-related factors and face-to-face social activity participation (b=0.44, SE 0.07; P<.001). More internet-based social activity participation also predicted better cognitive functioning 2 years later, even when adjusting for baseline cognitive functioning and other covariates (b=0.35, SE 0.09; P<.001). Conclusions: Our findings suggest that greater engagement in internet-based social activities is associated with higher levels of concurrent cognitive functioning and slower cognitive decline in middle-aged and older adults. ", doi="10.2196/63907", url="https://aging.jmir.org/2024/1/e63907" } @Article{info:doi/10.2196/58051, author="Naud{\'e}, B{\'e}rang{\`e}re and Rigaud, Anne-Sophie and Pino, Maribel", title="Investigating the Acceptability of an Interactive Television Intervention Promoting Social Links Among Older Adults Living at Home and in Care Institutions: Qualitative Interview and Questionnaire Study", journal="JMIR Hum Factors", year="2024", month="Dec", day="2", volume="11", pages="e58051", keywords="interactive television", keywords="iTV", keywords="acceptance", keywords="older adults", keywords="nursing home", keywords="residential facility", keywords="technology acceptance model", keywords="TAM", keywords="mobile phone", abstract="Background: When older adults (OAs) can no longer live independently at home, they have the option to choose from various types of geriatric care institutions, such as residential facilities or nursing homes. For several years now, thanks to the development of interactive television (iTV), social link functions have been accessible directly on televisions, tools that are already integrated into residents' rooms. The acceptance of technologies specifically targeting older users, as well as iTV, has been widely documented in the literature, incorporating factors from the innovation resistance model. Objective: This research aims to enrich the acceptance of existing models of innovation by OAs living in different settings. Methods: User tests were carried out to evaluate OAs' experiences with iTV and identify the factors involved in its acceptance. A total of 32 OAs living at home, in nursing homes, or in residential facilities in France were interviewed between November 2022 and June 2023. iTV acceptance was examined using an interview grid based on the technology acceptance model and included the following factors: intention to use, perceived usefulness, perceived ease of use, user resistance, anxiety, facilitating conditions, and user characteristics. Results: The deductive qualitative analysis based on the technology acceptance model helped to identify 33 concepts. Conclusions: This study has contributed to the literature on the acceptance of iTV by OAs living at home and in geriatric institutions, particularly by enriching existing models and proposing new avenues for reflection. ", doi="10.2196/58051", url="https://humanfactors.jmir.org/2024/1/e58051" } @Article{info:doi/10.2196/52294, author="Pe{\~n}a, Jorge and Koebner, Ian and Weisman, William", title="Using Digital Art and Attachment Priming in a Web-Based Serious Game to Reduce Pain and Social Disconnection in Individuals With Chronic Pain and Loneliness: Randomized Controlled Trial", journal="JMIR Serious Games", year="2024", month="Nov", day="27", volume="12", pages="e52294", keywords="pain", keywords="social disconnection", keywords="loneliness", keywords="randomized controlled trial", keywords="art", keywords="museums", keywords="virtual reality", keywords="serious games", keywords="virtual art", keywords="chronic pain and loneliness", keywords="attachment", keywords="priming", keywords="mediation", keywords="intervention", keywords="cyberpsychology", keywords="mental health", abstract="Background: Arts engagement using virtual reality and serious games represent promising nonpharmacological self-management treatment approaches to chronic pain. This study is the first randomized controlled trial to explore the impact of a web-based serious game that simulated a visit to an art museum on pain and social disconnection among individuals living with chronic pain and loneliness. Objective: This study aimed to test the joint and separate effects of exposure to digital art and attachment figure priming on pain and social disconnection among individuals living with chronic pain and loneliness. Methods: This randomized controlled trial used a 2 (digital artwork present and absent) {\texttimes} 2 (secure attachment and avoidant attachment prime) repeated measures factorial web-based experimental design with a hanging control condition. Mediation and moderation analyses examined how feelings about the social world triggered by the artwork and frequency of museum visits impacted the effects of the interventions on pain and social disconnection. Results: The results are based on 308 participants. Mean age of the participants was 42.78 (SD 13.11; range 18-76) years, and 60.2\% (n=186) were women. Posttest pain was lower than pretest pain for the artwork present (P=.001) and absent (P=.001) conditions. Similarly, posttest pain was lower than pretest pain for the secure (P=.001) and avoidant (P=.001) attachment priming conditions. Relative to the control group, artwork present (P=.001) and absent (P=.01) conditions had decreased posttest pain. The secure (P=.001) and avoidant (P=.001) attachment priming conditions also had lower posttest pain scores relative to the control group. Moreover, social disconnection decreased from pre- to posttest for both the artwork present (P=.04) and the secure attachment priming (P=.002) conditions. Relative to the control group, posttest social disconnection was lower for the artwork present (P=.02) and secure attachment priming condition (P=.03). The artwork-secure attachment (P=.001) and artwork-avoidant attachment (P=.006) conditions had lower posttest pain scores compared with the control group. Social disconnection decreased from pre- to posttest for the artwork-secure attachment (P=.01) and no artwork-secure attachment (P=.05) conditions. Posttest social disconnection was lower for the artwork-secure attachment condition compared with the control group (P=.04). Positive feelings about the social world triggered by artwork exposure and frequency of museum visits in the last year played a mediating and moderating role in these effects. Positive feelings about the social world were associated with decreased pain (B=?.53) and social disconnection (B=?.25), and these effects operated on individuals exposed to digital artwork at low, medium, and high frequency of physical museum visits. Conclusions: Relative to a control group, visiting a web-based art museum reliably decreased pain and social disconnection among individuals living with chronic pain and loneliness. Engaging with digital artwork that triggers positive feelings about the social world may mitigate the burden of chronic pain. Trial Registration: ClinicalTrials.gov NCT05310747; https://clinicaltrials.gov/study/NCT05310747 ", doi="10.2196/52294", url="https://games.jmir.org/2024/1/e52294" } @Article{info:doi/10.2196/63092, author="Vagnetti, Roberto and Camp, Nicola and Story, Matthew and Ait-Belaid, Khaoula and Mitra, Suvobrata and Fowler Davis, Sally and Meese, Helen and Zecca, Massimiliano and Di Nuovo, Alessandro and Magistro, Daniele", title="Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors", journal="JMIR Aging", year="2024", month="Nov", day="25", volume="7", pages="e63092", keywords="older adults", keywords="motor difficulties", keywords="socioeconomic status", keywords="social assistive robots", keywords="monitoring technologies", keywords="mixed methods", abstract="Background: Population aging affects society, with a profound impact on daily activities for those of a low socioeconomic status and with motor impairments. Social assistive robots (SARs) and monitoring technologies can improve older adults' well-being by assisting with and monitoring home activities. Objective: This study explored the opinions and needs of older adults, including those with motor difficulties and of a low socioeconomic status, regarding SARs and monitoring technologies at home to promote daily activities and reduce sedentary behaviors. Methods: A mixed methods approach was used, with 31 older adults divided into 3 groups: those of a low socioeconomic status, those with motor difficulties, and healthy individuals. Focus groups were conducted, and they were analyzed using thematic analysis. Perceived mental and physical well-being were assessed using the 12-Item Short Form Health Survey, and attitudes toward robots were evaluated using the Multidimensional Robot Attitude Scale. Results: The results identified 14 themes in four key areas: (1) technology use for supporting daily activities and reducing sedentary behaviors, (2) perceived barriers, (3) suggestions and preferences, and (4) actual home technology use. Lower perceived physical well-being was associated with higher levels of familiarity, interest, perceived utility, and control related to SARs. Lower perceived psychological well-being was linked to a more negative attitude, increased concerns about environmental fit, and a preference for less variety. Notably, older adults from the low--socioeconomic status group perceived less control over SARs, whereas older adults with motor difficulties expressed higher perceived utility compared to other groups, as well as higher familiarity and interest compared to the low--socioeconomic status group. Conclusions: Participants indicated that SARs and monitoring technologies could help reduce sedentary behaviors by assisting in the management of daily activities. The results are discussed in the context of these outcomes and the implementation of SARs and monitoring technologies at home. This study highlights the importance of considering the functional and socioeconomic characteristics of older adults as future users of SARs and monitoring technologies to promote widespread adoption and improve well-being within this population. ", doi="10.2196/63092", url="https://aging.jmir.org/2024/1/e63092" } @Article{info:doi/10.2196/51214, author="Ware, Paul", title="Social Cohesion and COVID-19: Integrative Review", journal="Interact J Med Res", year="2024", month="Nov", day="21", volume="13", pages="e51214", keywords="social cohesion", keywords="social capital", keywords="COVID-19", keywords="infrastructure", keywords="tool", keywords="social", keywords="economic", keywords="interpersonal", keywords="interpersonal relationship", keywords="emotions", keywords="pandemic", keywords="engagement", keywords="health behaviors", keywords="resilience", keywords="emotional well-being", keywords="well-being", abstract="Background: Nations of considerable wealth and sophisticated health care infrastructures have experienced high rates of illness and death from COVID-19. Others with limited economic means and less developed health systems have achieved much lower burdens. To build a full understanding, an appraisal of the contribution of social relationships is necessary. Social cohesion represents a promising conceptual tool. Objective: This study aimed to examine scholarship on social cohesion during the COVID-19 pandemic: specifically, the constructions of social cohesion being deployed, the variables chosen for representation, and the effects of and on social cohesion being reported. Methods: The PubMed, Scopus, and JSTOR databases were searched for relevant journal articles and gray literature. A total of 100 studies met the inclusion criteria. Data were extracted and analyzed from these using spreadsheet software. Results: Several constructions of social cohesion were found. These concerned interpersonal relationships, sameness and difference, collective action, perceptions or emotions of group members, structures and institutions of governance, locally or culturally specific versions, and hybrid or multidimensional models. Social cohesion was reported to be influential on health outcomes, health behaviors, resilience, and emotional well-being, but there was some potential for it to drive undesirable outcomes. Scholarship reported increases or decreases in quantitative measures of social cohesion, a temporary ``rally round the flag'' effect early in the pandemic, the variable impacts of policy on social cohesion, and changing interpersonal relationships due to the pandemic conditions. There are numerous issues with the literature that reflect the well-documented limitations of popular versions of the concept. Conclusions: Social cohesion has been used to express a range of different aspects of relationships during the pandemic. It is claimed to promote better health outcomes, more engagement with positive health behaviors, and greater resilience and emotional well-being. The literature presents a range of ways in which it has been altered by the pandemic conditions. There are significant weaknesses to this body of knowledge that greatly impede its overall quality. ", doi="10.2196/51214", url="https://www.i-jmr.org/2024/1/e51214" } @Article{info:doi/10.2196/57352, author="Wong, Ching Arkers Kwan and Zhang, Qian Melissa and Bayuo, Jonathan and Chow, Sum Karen Kit and Wong, Man Siu and Wong, Po Bonnie and Liu, Man Bob Chung and Lau, Ho David Chi and Kowatsch, Tobias", title="The Effect of Young People--Assisted, Individualized, Motion-Based Video Games on Physical, Cognitive, and Social Frailty Among Community-Dwelling Older Adults With Frailty: Randomized Controlled Trial", journal="JMIR Serious Games", year="2024", month="Nov", day="20", volume="12", pages="e57352", keywords="frailty", keywords="gaming intervention", keywords="motion-based", keywords="video games", keywords="older adults", keywords="gerontology", keywords="geriatrics", keywords="randomized controlled trial", keywords="RCT", keywords="physical fitness", keywords="adolescents", keywords="young people--assisted", keywords="eHealth literacy", keywords="well-being", keywords="therapists", keywords="youth volunteers", keywords="social support", keywords="exergames", keywords="gamification", keywords="active games", keywords="physical activity", abstract="Background: The aging population highlights the need to maintain both physical and psychological well-being. Frailty, a multidimensional syndrome, increases vulnerability to adverse outcomes. Although physical exercise is effective, adherence among older adults with frailty is often low due to barriers. Motion-based video games (MBVGs) may enhance motivation and engagement. Objective: This study aims to evaluate the effect of individualized exercise programs that combine MBVGs, intergenerational support, and therapeutic frameworks on physical, cognitive, and social frailty outcomes in community-dwelling older adults. Methods: This randomized controlled trial was conducted from March 2022 to October 2023 across 6 community centers in Hong Kong. Participants aged 60 years and above with mild neurocognitive disorder were recruited, screened, and randomly assigned to either an intervention (n=101) or control group (n=101). The intervention included an 18-week program with 12 supervised exercise sessions utilizing motion-based technology, led by occupational therapists and assisted by youth volunteers. Data were collected at baseline (T1) and postintervention (T2), focusing on physical, cognitive, and social frailty outcomes, as well as client-related metrics. Statistical analyses were performed using SPSS, with significance set at P<.05. Results: A total of 202 participants were recruited, with a mean age of 78.8 years (SD 7.8). Both groups showed improvements in balance from T1 to T2, with a significant time effect ($\beta$=?0.63, P=.03). The intervention group demonstrated enhancements in hand strength and BMI, but no statistically significant between-group differences were observed. The intervention group also exhibited significant improvements in cognitive function ($\beta$=2.43, P<.001), while the control group's scores declined. Short-term memory improved for both groups, with no significant differences noted. Both groups experienced a reduction in depression levels, with a significant within-group effect at T2 ($\beta$=?1.16, P=.001). Improvements in social connectedness and eHealth literacy were observed in both groups, with the latter showing a significant within-group effect at T2 ($\beta$=3.56, P=.002). No significant effects were found for social isolation, physical activities, or quality of life. Conclusions: The growing aging population necessitates innovative strategies to support aging in place. Results indicated statistically significant improvements only in BMI and cognition, while other outcomes such as loneliness, balance, and eHealth literacy showed positive trends but lacked significance. Despite the limitations observed, particularly regarding the role of volunteer support and the diverse needs of community-dwelling older adults, the findings contribute to the foundation for future research aimed at enhancing biopsychosocial outcomes. Future studies should explore tailored interventions that consider individual preferences and abilities, as well as evaluate specific components of motion-based video games to optimize their effectiveness. Trial Registration: ClinicalTrials.gov NCT05267444; https://clinicaltrials.gov/study/NCT05267444 ", doi="10.2196/57352", url="https://games.jmir.org/2024/1/e57352" } @Article{info:doi/10.2196/53156, author="Kershner, Kyle and Morton, David and Robison, Justin and N'dah, Williams Kindia and Fanning, Jason", title="Assessing the Feasibility and Acceptability of Virtual Reality for Remote Group-Mediated Physical Activity in Older Adults: Pilot Randomized Controlled Trial", journal="JMIR Form Res", year="2024", month="Nov", day="8", volume="8", pages="e53156", keywords="virtual reality", keywords="physical activity", keywords="videoconference", keywords="social connection", keywords="remote meeting", keywords="gerontology", keywords="physical inactivity", keywords="at-home intervention", keywords="descriptive statistics", keywords="eHealth", keywords="comorbidity", keywords="cybersickness", abstract="Background: Physical inactivity represents a major health concern for older adults. Most social, at-home physical activity (PA) interventions use videoconference, email, or telephone communication for program delivery. However, evidence suggests that these platforms may hinder the social connection experienced by users. Recent advancements in virtual reality (VR) suggest that it may be a rich platform for social, at-home interventions because it offers legitimate options for intervention delivery and PA. Objective: This pilot study aims to determine the feasibility and acceptability of VR compared to videoconference as a medium for remote group-mediated behavioral intervention for older adults. The information generated from this investigation will inform the use of VR as a medium for intervention delivery. Methods: Nine low-active older adults (mean age 66.8, SD 4.8 y) were randomized to a 4-week home-based, group-mediated PA intervention delivered via VR or videoconference. Feasibility (ie, the total number of sessions attended and the number of VR accesses outside of scheduled meetings) and acceptability (ie, the number of participants reporting high levels of nausea, program evaluations using Likert-style prompts with responses ranging from --5=very difficult or disconnected to 5=very easy or connected, and participant feedback on immersion and social connection) are illustrated via descriptive statistics and quotes from open-ended responses. Results: None of the participants experienced severe VR-related sickness before randomization, with a low average sickness rating of 1.6 (SD 1.6) out of 27 points. Attendance rates for group meetings were 98\% (59/60) and 96\% (46/48) for the VR and videoconference groups, respectively. Outside of scheduled meeting times, participants reported a median of 5.5 (IQR 5.3-5.8, range 0-27) VR accesses throughout the entire intervention. Program evaluations suggested that participants felt personally connected to their peers (VR group: median 3.0, IQR 2.5-3.5; videoconference group: median 3.0, IQR 2.7-3.3), found that goals were easy to accomplish (VR group: median 3.0, IQR 2.8-3.3; videoconference group: median 3.0, IQR 2.6-3.4), and had ease in finding PA options (VR group: median 4.0, IQR 3.5-4.3; videoconference group: median 2.0, IQR 1.6-2.4) and engaging in meaningful dialogue with peers (VR group: median 4.0, IQR 4.0-4.0; videoconference group: median 3.5, IQR 3.3-3.8). Open-ended responses regarding VR use indicated increased immersion experiences and intrinsic motivation for PA. Conclusions: These findings suggest that VR may be a useful medium for social PA programming in older adults, given it was found to be feasible and acceptable in this sample. Importantly, all participants indicated low levels of VR-related sickness before randomization, and both groups demonstrated very high attendance at meetings with their groups and behavioral coaches, which is promising for using VR and videoconference in future interventions. Modifications for future iterations of similar interventions are provided. Further work using larger samples and longer follow-up durations is needed. Trial Registration: ClinicalTrials.gov NCT04756245; https://www.clinicaltrials.gov/study/NCT04756245 ", doi="10.2196/53156", url="https://formative.jmir.org/2024/1/e53156" } @Article{info:doi/10.2196/52640, author="Ch{\^a}tel, L. Bas D. and Janssen, M. Jeroen H. and Peeters, E. Geeske M. E. and Corten, Rense and Tieben, Rob and Deen, Menno and Hendriks, M. Elmy J. and Olde Rikkert, M. Marcel G.", title="Social Gaming to Decrease Loneliness in Older Adults: Recruitment Challenges and Attrition Analysis in a Digital Mixed Methods Feasibility Study", journal="JMIR Serious Games", year="2024", month="Oct", day="16", volume="12", pages="e52640", keywords="loneliness", keywords="digital health", keywords="serious gaming", keywords="older adults", keywords="recruitment", keywords="feasibility study", abstract="Background: Digital mental health interventions could sustainably and scalably prevent and reduce loneliness in older adults. We designed an app containing 29 text-based games and a questionnaire-administering chatbot to stimulate intergenerational contact. Objective: This study aims to evaluate the feasibility of a social gaming app in reducing loneliness among older adults by evaluating recruitment strategies, data collection procedures, and gameplay activity. Methods: This mixed methods study recruited participants via newsletters, articles, and a social media campaign. We used semistructured interviews and descriptive analysis of questionnaire answers and game data to assess feasibility. Key measures included recruitment reach and efficiency, participant demographics, in-app activity, and app usability and engagement feedback. Results: The social media campaign reached 192,641 potential participants, resulting in 1363 game downloads. A total of 155 participants (aged 65 years and older: n=34, 21.9\% and aged less than 65 years: n=121, 78.1\%) provided informed consent, yielding a conversion rate of 0.08\%. The recruitment campaign focusing on distanced playful interaction had a significantly (P<.001) higher click-through rate (1.98\%) than a campaign focusing on research participation (click-through rate=0.51\%; P<.001). The overall conversion rate from advertisement exposure to research participation was 0.08\%. Participants had a mean age of 48 (SD 16) years. The 65 years and older group averaged 70 (SD 5) years, while the less 65 years group averaged 42 (SD 12) years. Additionally, 45.2\% (57/126) reported at least moderate levels of loneliness at baseline. Of the initial 554 players, 91 (16.4\%) remained active after the first week, and 32 (5.8\%) remained active for more than 90 days. Active participants tended to interact with those within their own age group, as indicated by a Pearson correlation of r=0.31 between the ages of the message sender and receiver. Interviews with 12 (48\%) participants (aged 65-79 years; female: n=12, 83\%) revealed barriers such as excessive chatbot questions and a mismatch between the target group and app design focus. Questionnaire completion rates dropped from 46\% at baseline to 10\% at follow-up. Conclusions: These findings underscore the challenges of recruitment and retention for older adults in a fully digital social gaming intervention. Effective recruitment strategies and targeted app design are crucial for engagement. Based on these insights, future interventions should focus on simplified interfaces, clear guidance for gameplay, and addressing the specific needs and preferences of older adults, thereby enhancing the effectiveness of digital mental health interventions. ", doi="10.2196/52640", url="https://games.jmir.org/2024/1/e52640", url="http://www.ncbi.nlm.nih.gov/pubmed/39412863" } @Article{info:doi/10.2196/55761, author="Nyamathi, Adeline and Dutt, Nikil and Lee, Jung-Ah and Rahmani, M. Amir and Rasouli, Mahkameh and Krogh, Donna and Krogh, Erik and Sultzer, David and Rashid, Humayun and Liaqat, Hamza and Jawad, Riyam and Azhar, Farhan and Ahmad, Ali and Qamar, Bilal and Bhatti, Yasin Taha and Khay, Chet and Ludlow, Jocelyn and Gibbs, Lisa and Rousseau, Julie and Abbasian, Mahyar and Song, Yutong and Jeong, Cheonkam and Brunswicker, Sabine", title="Establishing the Foundations of Emotional Intelligence in Care Companion Robots to Mitigate Agitation Among High-Risk Patients With Dementia: Protocol for an Empathetic Patient-Robot Interaction Study", journal="JMIR Res Protoc", year="2024", month="Oct", day="4", volume="13", pages="e55761", keywords="persons with dementia", keywords="empathy-based care companion robot", keywords="agitation", keywords="fall risk", keywords="artificial intelligence", keywords="AI", abstract="Background: An estimated 6.7 million persons are living with dementia in the United States, a number expected to double by 2060. Persons experiencing moderate to severe dementia are 4 to 5 times more likely to fall than those without dementia, due to agitation and unsteady gait. Socially assistive robots fail to address the changing emotional states associated with agitation, and it is unclear how emotional states change, how they impact agitation and gait over time, and how social robots can best respond by showing empathy. Objective: This study aims to design and validate a foundational model of emotional intelligence for empathetic patient-robot interaction that mitigates agitation among those at the highest risk: persons experiencing moderate to severe dementia. Methods: A design science approach will be adopted to (1) collect and store granular, personal, and chronological data using Personicle (an open-source software platform developed to automatically collect data from phones and other devices), incorporating real-time visual, audio, and physiological sensing technologies in a simulation laboratory and at board and care facilities; (2) develop statistical models to understand and forecast the emotional state, agitation level, and gait pattern of persons experiencing moderate to severe dementia in real time using machine learning and artificial intelligence and Personicle; (3) design and test an empathy-focused conversation model, focused on storytelling; and (4) test and evaluate this model for a care companion robot (CCR) in the community. Results: The study was funded in October 2023. For aim 1, architecture development for Personicle data collection began with a search for existing open-source data in January 2024. A community advisory board was formed and met in December 2023 to provide feedback on the use of CCRs and provide personal stories. Full institutional review board approval was received in March 2024 to place cameras and CCRs at the sites. In March 2024, atomic marker development was begun. For aim 2, after a review of open-source data on patients with dementia, the development of an emotional classifier was begun. Data labeling was started in April 2024 and completed in June 2024 with ongoing validation. Moreover, the team established a baseline multimodal model trained and validated on healthy-person data sets, using transformer architecture in a semisupervised manner, and later retrained on the labeled data set of patients experiencing moderate to severe dementia. In April 2024, empathy alignment of large language models was initiated using prompt engineering and reinforcement learning. Conclusions: This innovative caregiving approach is designed to recognize the signs of agitation and, upon recognition, intervene with empathetic verbal communication. This proposal has the potential to have a significant impact on an emerging field of computational dementia science by reducing unnecessary agitation and falls of persons experiencing moderate to severe dementia, while reducing caregiver burden. International Registered Report Identifier (IRRID): PRR1-10.2196/55761 ", doi="10.2196/55761", url="https://www.researchprotocols.org/2024/1/e55761", url="http://www.ncbi.nlm.nih.gov/pubmed/39365656" } @Article{info:doi/10.2196/64196, author="Kawaguchi, Kenjiro and Nakagomi, Atsushi and Ide, Kazushige and Kondo, Katsunori", title="Effects of a Mobile App to Promote Social Participation on Older Adults: Randomized Controlled Trial", journal="J Med Internet Res", year="2024", month="Sep", day="30", volume="26", pages="e64196", keywords="gerontology", keywords="geriatrics", keywords="older adults", keywords="elderly", keywords="older people", keywords="community dwelling older adult", keywords="aging", keywords="social participation", keywords="walking", keywords="mHealth", keywords="apps", keywords="smartphone", keywords="digital health", keywords="digital technology", keywords="digital interventions", keywords="physical activity", keywords="exercise", abstract="Background: Social participation is crucial for healthy aging, improving physical and mental health, cognitive function, and quality of life among older adults. However, social participation tends to decline with age due to factors like loss of social networks and health issues. Mobile health apps show promise in promoting healthy behaviors among older adults, but their effectiveness in increasing social participation remains understudied. Objective: This randomized controlled trial aimed to evaluate the efficacy of a mobile app called Encouragement of Social Participation (ESP, ``Shakai Sanka no Susume;'' Hitachi) in promoting social participation and physical activity among community-dwelling older adults. Methods: The study recruited 181 community-dwelling adults aged 60 years or older from 2 municipalities in Japan and through a web-based research panel. Participants were randomly assigned to either the intervention group (n=87), which used the ESP app for 12 weeks, or the control group (n=94), which used only Google Fit. The ESP app incorporated features such as self-monitoring of social participation, personalized feedback, gamification elements, and educational content. Primary outcomes were changes in social participation frequency over the previous 2 months and changes in step counts, measured at baseline and week 12. Secondary outcomes included changes in specific types of social activities and subjective well-being. Data were analyzed using analysis of covariance and linear mixed-effects models. Results: The intervention group showed a significantly greater increase in social participation frequency compared with the control group (adjusted difference 3.03; 95\% CI 0.17-5.90; P=.04). Specifically, the intervention group demonstrated higher frequencies of participation in hobbies (adjusted difference: 0.82; 95\% CI 0.01-1.63) and cultural clubs (adjusted difference 0.65; 95\% CI 0.07-1.23) compared with the control group. However, there were no significant differences in weekly step counts between the groups. Subgroup analyses suggested potentially larger effects among participants who were older than 70 years, female, had lower educational attainment, and were recruited from community settings, although only females and the lower educational attainment subgroups demonstrated 95\% CIs that did not encompass zero. Conclusions: The ESP mobile app effectively promoted social participation among community-dwelling older adults, particularly in hobbies and cultural club activities. However, it did not significantly impact physical activity levels as measured by step counts. These findings suggest that mobile apps can be valuable tools for encouraging social engagement in older populations, potentially contributing to healthy aging. Future research should focus on optimizing app features to maintain long-term engagement and exploring strategies to enhance physical activity alongside social participation. Trial Registration: University Medical Information Network Clinical Trial Registry UMIN000049045; https://center6.umin.ac.jp/cgi-open-bin/ctr\_e/ctr\_view.cgi?recptno=R000055781 ", doi="10.2196/64196", url="https://www.jmir.org/2024/1/e64196", url="http://www.ncbi.nlm.nih.gov/pubmed/39348180" } @Article{info:doi/10.2196/41093, author="Yoo, In-jin and Park, Do-Hyung and Lee, EunKyoung Othelia and Park, Albert", title="Investigating Older Adults' Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study", journal="JMIR Form Res", year="2024", month="Sep", day="19", volume="8", pages="e41093", keywords="socially assistive robot", keywords="older adults", keywords="robot use pattern", keywords="time series clustering", keywords="profiling analysis", abstract="Background: The aging population and the shortage of geriatric care workers are major global concerns. Socially assistive robots (SARs) have the potential to address these issues, but developing SARs for various types of users is still in its infancy. Objective: This study aims to examine the characteristics and use patterns of SARs. Methods: This study analyzed log data from 64 older adults who used a SAR called Hyodol for 60 days to understand use patterns and their relationship with user characteristics. Data on user interactions, robot-assisted content use, demographics, physical and mental health, and lifestyle were collected. Time series clustering was used to group users based on use patterns, followed by profiling analysis to relate these patterns to user characteristics. Results: Overall, 4 time series clusters were created based on use patterns: helpers, friends, short-term users, and long-term users. Time series and profiling analyses revealed distinct patterns for each group. We found that older adults use SARs differently based on factors beyond demographics and health. This study demonstrates a data-driven approach to understanding user needs, and the findings can help tailor SAR interventions for specific user groups. Conclusions: This study extends our understanding of the factors associated with the long-term use of SARs for geriatric care and makes methodological contributions. ", doi="10.2196/41093", url="https://formative.jmir.org/2024/1/e41093" } @Article{info:doi/10.2196/51653, author="Sugaya, Nagisa and Yamamoto, Tetsuya and Suzuki, Naho and Uchiumi, Chigusa", title="Loneliness and Social Isolation Factors Under the Prolonged COVID-19 Pandemic in Japan: 2-Year Longitudinal Study", journal="JMIR Public Health Surveill", year="2024", month="Sep", day="9", volume="10", pages="e51653", keywords="COVID-19", keywords="pandemic", keywords="loneliness", keywords="social isolation", keywords="longitudinal survey", keywords="epidemiology", keywords="mental health", abstract="Background: Worsening loneliness and social isolation during the COVID-19 pandemic have become serious public health concerns worldwide. Despite previous research reporting persistent loneliness and social isolation under repeated emergency declarations and prolonged pandemics, long-term studies are needed to identify the actual conditions of loneliness and social isolation, and the factors that explain them. Objective: In this study, 3 web-based surveys were conducted at 1-year intervals during the 2 years after the first state of emergency to examine changes in loneliness and social isolation and the psychosocial factors associated with them in the Japanese population. Methods: The first survey (phase 1, May 11-12, 2020) was conducted at the end of the first emergency declaration period, the second survey (phase 2, June 14-20, 2021) was conducted at the end of the third emergency declaration period, and the third survey (phase 3, May 13-30, 2022) was conducted when the state of emergency had not been declared but many COVID-19--positive cases occurred during this period. We collected data on 3892 inhabitants (n=1813, 46.58\% women; age: mean 50.3, SD 13.4 y) living in the 4 prefectures where emergency declaration measures were applied in phases 1 and 2. A linear mixed model analysis was performed to examine the association between psychosocial variables as explanatory variables and loneliness scores as the dependent variable in each phase. Results: While many psychosocial and physical variables showed improvement for the 2 years, loneliness, social isolation, and the relationship with familiar people deteriorated, and the opportunities for exercise, favorite activities, and web-based interaction with familiar people decreased. Approximately half of those experiencing social isolation in phase 1 remained isolated throughout the 2-year period, and a greater number of people developed social isolation than those who were able to resolve it. The results of the linear mixed model analysis showed that most psychosocial and physical variables were related to loneliness regardless of the phase. Regarding the variables that showed a significant interaction with the phase, increased altruistic preventive behavior and a negative outlook for the future were more strongly associated with severe loneliness in phase 3 (P=.01 to <.001), while the association between fewer social networks and stronger loneliness tended to be more pronounced in phase 2. Although the interaction was not significant, the association between reduced face-to-face interaction, poorer relationships with familiar people, and increased loneliness tended to be stronger in phase 3. Conclusions: This study found that loneliness and social isolation remained unresolved throughout the long-term COVID-19 pandemic. Additionally, in the final survey phase, these issues were influenced by a broader and more complex set of factors compared to earlier phases. ", doi="10.2196/51653", url="https://publichealth.jmir.org/2024/1/e51653", url="http://www.ncbi.nlm.nih.gov/pubmed/39250195" } @Article{info:doi/10.2196/56669, author="Tan, Kian Cheng and Lou, Q. Vivian W. and Cheng, Man Clio Yuen and He, Chu Phoebe and Khoo, Joo Veronica Eng", title="Improving the Social Well-Being of Single Older Adults Using the LOVOT Social Robot: Qualitative Phenomenological Study", journal="JMIR Hum Factors", year="2024", month="Aug", day="23", volume="11", pages="e56669", keywords="companionship", keywords="older adults", keywords="social well-being", keywords="pets", keywords="social robots", keywords="elderly", keywords="wellbeing", keywords="qualitative research", keywords="robot", keywords="companion", keywords="body temperature", keywords="development", keywords="research design", keywords="design", keywords="interviews", keywords="psychosocial support", keywords="support", keywords="psychosocial", keywords="temperature regulation", keywords="social", keywords="care home", keywords="aging", keywords="ageing", keywords="robotics", keywords="well-being", keywords="loneliness", keywords="technology", keywords="mobile phone", abstract="Background: This study examined the social well-being of single older adults through the companionship of a social robot, LOVOT (Love+Robot; Groove X). It is designed as a companion for older adults, providing love and affection through verbal and physical interaction. We investigated older adults' perceptions of the technology and how they benefitted from interacting with LOVOT, to guide the future development of social robots. Objective: This study aimed to use a phenomenological research design to understand the participants' experiences of companionship provided by the social robot. Our research focused on (1) examining the social well-being of single older adults through the companionship of social robots and (2) understanding the perceptions of single older adults when interacting with social robots. Given the prevalence of technology use to support aging, understanding single older adults' social well-being and their perceptions of social robots is essential to guide future research on and design of social robots. Methods: A total of 5 single women, aged 60 to 75 years, participated in the study. The participants interacted independently with the robot for a week in their own homes and then participated in a poststudy interview to share their experiences. Results: In total, 4 main themes emerged from the participants' interactions with LOVOT, such as caring for a social robot, comforting presence of the social robot, meaningful connections with the social robot, and preference for LOVOT over pets. Conclusions: The results indicate that single older adults can obtain psychosocial support by interacting with LOVOT. LOVOT is easily accepted as a companion and makes single older adults feel like they have a greater sense of purpose and someone to connect with. This study suggests that social robots can provide companionship to older adults who live alone. Social robots can help alleviate loneliness by allowing single older adults to form social connections with robots as companions. These findings are particularly important given the rapid aging of the population and the increasing number of single-person households in Singapore. ", doi="10.2196/56669", url="https://humanfactors.jmir.org/2024/1/e56669" } @Article{info:doi/10.2196/58263, author="Bravata, Dena and Russell, Daniel and Fellows, Annette and Goldman, Ron and Pace, Elizabeth", title="Digitally Enabled Peer Support and Social Health Platform for Vulnerable Adults With Loneliness and Symptomatic Mental Illness: Cohort Analysis", journal="JMIR Form Res", year="2024", month="Jul", day="24", volume="8", pages="e58263", keywords="peer support", keywords="social isolation", keywords="loneliness", keywords="depression", keywords="depressive", keywords="mental health", keywords="anxiety", keywords="quality of life", keywords="isolation", keywords="isolated", keywords="online support", keywords="digital health", keywords="vulnerable", keywords="race", keywords="racial ethnic", keywords="ethnicity", keywords="gender", keywords="socioeconomic", keywords="demographic", doi="10.2196/58263", url="https://formative.jmir.org/2024/1/e58263", url="http://www.ncbi.nlm.nih.gov/pubmed/38941568" } @Article{info:doi/10.2196/56714, author="Mills, Marie Christine and Boyar, Liza and O'Flaherty, A. Jessica and Keller, H. Heather", title="Social Factors Associated With Nutrition Risk in Community-Dwelling Older Adults in High-Income Countries: Protocol for a Scoping Review", journal="JMIR Res Protoc", year="2024", month="Jun", day="25", volume="13", pages="e56714", keywords="community", keywords="malnutrition risk", keywords="nutrition risk", keywords="older adults", keywords="social factors", keywords="geriatric", keywords="geriatrics", keywords="malnutrition", keywords="community-dwelling", keywords="older adult", keywords="elderly", keywords="HIC", keywords="high-income countries", keywords="diet", keywords="dietary intake", keywords="nutritional status", keywords="Canada", keywords="nutritional risk", keywords="social", keywords="intervention", keywords="public health", keywords="community-based intervention", keywords="health promotion", abstract="Background: In high-income countries (HICs), between 65\% and 70\% of community-dwelling adults aged 65 and older are at high nutrition risk. Nutrition risk is the risk of poor dietary intake and nutritional status. Consequences of high nutrition risk include frailty, hospitalization, death, and reduced quality of life. Social factors (such as social support and commensality) are known to influence eating behavior in later life; however, to the authors' knowledge, no reviews have been conducted examining how these social factors are associated with nutrition risk specifically. Objective: The objective of this scoping review is to understand the extent and type of evidence concerning the relationship between social factors and nutrition risk among community-dwelling older adults in HICs and to identify social interventions that address nutrition risk in community-dwelling older adults in HICs. Methods: This review will follow the scoping review methodology as outlined by the JBI Manual for Evidence Synthesis and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The search will include MEDLINE (Ovid), CINAHL, PsycINFO, and Web of Science. There will be no date limits placed on the search. However, only resources available in English will be included. EndNote (Clarivate Analytics) and Covidence (Veritas Health Innovation Ltd) will be used for reference management and removal of duplicate studies. Articles will be screened, and data will be extracted by at least 2 independent reviewers using Covidence. Data to be extracted will include study characteristics (country, methods, aims, design, and dates), participant characteristics (population description, inclusion and exclusion criteria, recruitment method, total number of participants, and demographics), how nutrition risk was measured (including the tool used to measure nutrition risk), social factors or interventions examined (including how these were measured or determined), the relationship between nutrition risk and the social factors examined, and the details of social interventions designed to address nutrition risk. Results: The scoping review was started in October 2023 and will be finalized by August 2024. The findings will describe the social factors commonly examined in the nutrition risk literature, the relationship between these social factors and nutrition risk, the social factors that have an impact on nutrition risk, and social interventions designed to address nutrition risk. The results of the extracted data will be presented in the form of a narrative summary with accompanying tables. Conclusions: Given the high prevalence of nutrition risk in community-dwelling older adults in HICs and the negative consequences of nutrition risk, it is essential to understand the social factors associated with nutrition risk. The results of the review are anticipated to aid in identifying individuals who should be screened proactively for nutrition risk and inform programs, policies, and interventions designed to reduce the prevalence of nutrition risk. International Registered Report Identifier (IRRID): DERR1-10.2196/56714 ", doi="10.2196/56714", url="https://www.researchprotocols.org/2024/1/e56714", url="http://www.ncbi.nlm.nih.gov/pubmed/38696645" } @Article{info:doi/10.2196/51675, author="Miller, Soederberg Lisa M. and Callegari, A. Rachel and Abah, Theresa and Fann, Helen", title="Digital Literacy Training for Low-Income Older Adults Through Undergraduate Community-Engaged Learning: Single-Group Pretest-Posttest Study", journal="JMIR Aging", year="2024", month="May", day="14", volume="7", pages="e51675", keywords="community-engaged learning", keywords="digital divide", keywords="underserved older adults", keywords="digital literacy training", keywords="intergenerational programs", abstract="Background: Digital technology is a social determinant of health that affects older people's ability to engage in health maintenance and disease prevention activities; connect with family and friends; and, more generally, age in place. Unfortunately, disparities in technology adoption and use exist among older adults compared with other age groups and are even greater among low-income older adults. Objective: In this study, we described the development and implementation of a digital literacy training program designed with the dual goals of training low-income older adults in the community and teaching students about aging using a community-engaged learning (CEL) approach. Methods: The training program was embedded within a 10-week CEL course that paired undergraduates (N=27) with low-income older adults (n=18) for 8 weeks of digital literacy training. Older adults and students met weekly at the local senior center for the training. Students also met in the classroom weekly to learn about aging and how to use design thinking to train their older adult trainees. Both older adults and students completed pre- and posttraining surveys. Results: Older adults demonstrated increased digital literacy skills and confidence in the use of digital technology. Loneliness did not change from pre to postassessment measurements; however, older adults showed improvements in their attitudes toward their own aging and expressed enthusiasm for the training program. Although students' fear of older adults did not change, their comfort in working with older adults increased. Importantly, older adults and students expressed positive feelings about the trainee-trainer relationship that they formed during the training program. Conclusions: A CEL approach that brings together students and low-income older adults in the community has a strong potential to reduce the digital divide experienced by underserved older adults. Additional work is needed to explore the efficacy and scalability of this approach in terms of older adults' digital literacy as well as other potential benefits to both older and younger adults. ", doi="10.2196/51675", url="https://aging.jmir.org/2024/1/e51675", url="http://www.ncbi.nlm.nih.gov/pubmed/38599620" } @Article{info:doi/10.2196/52292, author="Lu, Yinn Si and Yoon, Sungwon and Yee, Qi Wan and Heng Wen Ngiam, Nerice and Ng, Yi Kennedy Yao and Low, Leng Lian", title="Experiences of a Community-Based Digital Intervention Among Older People Living in a Low-Income Neighborhood: Qualitative Study", journal="JMIR Aging", year="2024", month="Apr", day="25", volume="7", pages="e52292", keywords="digital divide", keywords="digital learning", keywords="smartphones", keywords="social gerontology", keywords="older adults", keywords="COVID-19 pandemic", keywords="technology adoption", abstract="Background: Older adults worldwide experienced heightened risks of depression, anxiety, loneliness, and poor mental well-being during the COVID-19 pandemic. During this period, digital technology emerged as a means to mitigate social isolation and enhance social connectedness among older adults. However, older adults' behaviors and attitudes toward the adoption and use of digital technology are heterogeneous and shaped by factors such as age, income, and education. Few empirical studies have examined how older adults experiencing social and economic disadvantages perceive the learning of digital tools. Objective: This study aims to examine the motivations, experiences, and perceptions toward a community-based digital intervention among older adults residing in public rental flats in a low-income neighborhood. Specifically, we explored how their attitudes and behaviors toward learning the use of smartphones are shaped by their experiences related to age and socioeconomic challenges. Methods: This study adopted a qualitative methodology. Between December 2020 and March 2021, we conducted semistructured in-depth interviews with 19 participants aged ?60 years who had completed the community-based digital intervention. We asked participants questions about the challenges encountered amid the pandemic, their perceived benefits of and difficulties with smartphone use, and their experiences with participating in the intervention. All interviews were audio recorded and analyzed using a reflexive thematic approach. Results: Although older learners stated varying levels of motivation to learn, most expressed ambivalence about the perceived utility and relevance of the smartphone to their current needs and priorities. While participants valued the social interaction with volunteers and the personalized learning model of the digital intervention, they also articulated barriers such as age-related cognitive and physical limitations and language and illiteracy that hindered their sustained use of these digital devices. Most importantly, the internalization of ageist stereotypes of being less worthy learners and the perception of smartphone use as being in the realm of the privileged other further reduced self-efficacy and interest in learning. Conclusions: To improve learning and sustained use of smartphones for older adults with low income, it is essential to explore avenues that render digital tools pertinent to their daily lives, such as creating opportunities for social connections and relationship building. Future studies should investigate the relationships between older adults' social, economic, and health marginality and their ability to access digital technologies. We recommend that the design and implementation of digital interventions should prioritize catering to the needs and preferences of various segments of older adults, while working to bridge rather than perpetuate the digital divide. ", doi="10.2196/52292", url="https://aging.jmir.org/2024/1/e52292", url="http://www.ncbi.nlm.nih.gov/pubmed/38662423" } @Article{info:doi/10.2196/47943, author="Zarling, Amie and Kim, Joseph and Russell, Daniel and Cutrona, Carolyn", title="Increasing Older Adults' Social Connectedness: Development and Implementation of a Web-Assisted Acceptance and Commitment Therapy--Based Intervention", journal="JMIR Aging", year="2024", month="Apr", day="22", volume="7", pages="e47943", keywords="acceptance and commitment therapy", keywords="psychotherapy", keywords="loneliness", keywords="technology", keywords="lonely", keywords="older adults", keywords="older adult", keywords="gerontology", keywords="geriatric", keywords="geriatrics", keywords="emotion regulation", keywords="mental health", keywords="elder", keywords="elderly", keywords="isolation", keywords="aging", keywords="mHealth", keywords="digital health", keywords="digital mental health", keywords="online health", keywords="online support", keywords="eHealth", keywords="internet", keywords="depression", doi="10.2196/47943", url="https://aging.jmir.org/2024/1/e47943" } @Article{info:doi/10.2196/50534, author="Marziali, Alessandra Rachele and Franceschetti, Claudia and Dinculescu, Adrian and Nistorescu, Alexandru and Krist{\'a}ly, Mircea Dominic and Mo?oi, Alexandru Adrian and Broekx, Ronny and Marin, Mihaela and Vizitiu, Cristian and Moraru, Sorin-Aurel and Rossi, Lorena and Di Rosa, Mirko", title="Reducing Loneliness and Social Isolation of Older Adults Through Voice Assistants: Literature Review and Bibliometric Analysis", journal="J Med Internet Res", year="2024", month="Mar", day="18", volume="26", pages="e50534", keywords="voice assistant", keywords="loneliness", keywords="social isolation", keywords="older adults", keywords="literature review", keywords="bibliometric analysis", keywords="mobile phone", abstract="Background: Loneliness and social isolation are major public health concerns for older adults, with severe mental and physical health consequences. New technologies may have a great impact in providing support to the daily lives of older adults and addressing the many challenges they face. In this scenario, technologies based on voice assistants (VAs) are of great interest and potential benefit in reducing loneliness and social isolation in this population, because they could overcome existing barriers with other digital technologies through easier and more natural human-computer interaction. Objective: This study aims to investigate the use of VAs to reduce loneliness and social isolation of older adults by performing a systematic literature review and a bibliometric cluster mapping analysis. Methods: We searched PubMed, Embase, and Scopus databases for articles that were published in the last 6 years, related to the following main topics: voice interface, VA, older adults, isolation, and loneliness. A total of 40 articles were found, of which 16 (40\%) were included in this review. The included articles were then assessed through a qualitative scoring method and summarized. Finally, a bibliometric analysis was conducted using VOSviewer software (Leiden University's Centre for Science and Technology Studies). Results: Of the 16 articles included in the review, only 2 (13\%) were considered of poor methodological quality, whereas 9 (56\%) were of medium quality and 5 (31\%) were of high quality. Finally, through bibliometric analysis, 221 keywords were extracted, of which 36 (16\%) were selected. The most important keywords, by number of occurrences and by total link strength; results of the analysis with the Association Strength normalization method; and default values were then presented. The final bibliometric network consisted of 36 selected keywords, which were grouped into 3 clusters related to 3 main topics (ie, VA use for social isolation among older adults, the significance of age in the context of loneliness, and the impact of sex factors on well-being). For most of the selected articles, the effect of VA on social isolation and loneliness of older adults was a minor theme. However, more investigations were done on user experience, obtaining preliminary positive results. Conclusions: Most articles on the use of VAs by older adults to reduce social isolation and loneliness focus on usability, acceptability, or user experience. Nevertheless, studies directly addressing the impact that using a VA has on the social isolation and loneliness of older adults find positive and promising results and provide important information for future research, interventions, and policy development in the field of geriatric care and technology. ", doi="10.2196/50534", url="https://www.jmir.org/2024/1/e50534", url="http://www.ncbi.nlm.nih.gov/pubmed/38498039" } @Article{info:doi/10.2196/49462, author="Chou, Ya-Hsin and Lin, Chemin and Lee, Shwu-Hua and Lee, Yen-Fen and Cheng, Li-Chen", title="User-Friendly Chatbot to Mitigate the Psychological Stress of Older Adults During the COVID-19 Pandemic: Development and Usability Study", journal="JMIR Form Res", year="2024", month="Mar", day="13", volume="8", pages="e49462", keywords="geriatric psychiatry", keywords="mental health", keywords="loneliness", keywords="chatbot", keywords="user experience", keywords="health promotion", keywords="older adults", keywords="technology-assisted interventions", keywords="pandemic", keywords="lonely", keywords="gerontology", keywords="elderly", keywords="develop", keywords="design", keywords="development", keywords="conversational agent", keywords="geriatric", keywords="geriatrics", keywords="psychiatry", abstract="Background: To safeguard the most vulnerable individuals during the COVID-19 pandemic, numerous governments enforced measures such as stay-at-home orders, social distancing, and self-isolation. These social restrictions had a particularly negative effect on older adults, as they are more vulnerable and experience increased loneliness, which has various adverse effects, including increasing the risk of mental health problems and mortality. Chatbots can potentially reduce loneliness and provide companionship during a pandemic. However, existing chatbots do not cater to the specific needs of older adult populations. Objective: We aimed to develop a user-friendly chatbot tailored to the specific needs of older adults with anxiety or depressive disorders during the COVID-19 pandemic and to examine their perspectives on mental health chatbot use. The primary research objective was to investigate whether chatbots can mitigate the psychological stress of older adults during COVID-19. Methods: Participants were older adults belonging to two age groups (?65 years and <65 years) from a psychiatric outpatient department who had been diagnosed with depressive or anxiety disorders by certified psychiatrists according to the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) criteria. The participants were required to use mobile phones, have internet access, and possess literacy skills. The chatbot's content includes monitoring and tracking health data and providing health information. Participants had access to the chatbot for at least 4 weeks. Self-report questionnaires for loneliness, depression, and anxiety were administered before and after chatbot use. The participants also rated their attitudes toward the chatbot. Results: A total of 35 participants (mean age 65.21, SD 7.51 years) were enrolled in the trial, comprising 74\% (n=26) female and 26\% (n=9) male participants. The participants demonstrated a high utilization rate during the intervention, with over 82\% engaging with the chatbot daily. Loneliness significantly improved in the older group ?65 years. This group also responded positively to the chatbot, as evidenced by changes in University of California Los Angeles Loneliness Scale scores, suggesting that this demographic can derive benefits from chatbot interaction. Conversely, the younger group, <65 years, exhibited no significant changes in loneliness after the intervention. Both the older and younger age groups provided good scores in relation to chatbot design with respect to usability (mean scores of 6.33 and 6.05, respectively) and satisfaction (mean scores of 5.33 and 5.15, respectively), rated on a 7-point Likert scale. Conclusions: The chatbot interface was found to be user-friendly and demonstrated promising results among participants 65 years and older who were receiving care at psychiatric outpatient clinics and experiencing relatively stable symptoms of depression and anxiety. The chatbot not only provided caring companionship but also showed the potential to alleviate loneliness during the challenging circumstances of a pandemic. ", doi="10.2196/49462", url="https://formative.jmir.org/2024/1/e49462", url="http://www.ncbi.nlm.nih.gov/pubmed/38477965" } @Article{info:doi/10.2196/43999, author="Fritz, Johanna and von Heideken W{\aa}gert, Petra and Gusdal, K. Annelie and Johansson-Pajala, Rose-Marie and Eklund, Caroline", title="Determinants of Implementing an Information and Communication Technology Tool for Social Interaction Among Older People: Qualitative Content Analysis of Social Services Personnel Perspectives", journal="JMIR Aging", year="2024", month="Feb", day="26", volume="7", pages="e43999", keywords="information and communication technology", keywords="implementation", keywords="determinants", keywords="social isolation", keywords="loneliness", keywords="organization", keywords="digitalization", keywords="facilitators", keywords="barriers", keywords="older people", abstract="Background: Older people are particularly vulnerable to social isolation and loneliness, which can lead to ill-health, both mentally and physically. Information and communication technology (ICT) can supplement health and social care and improve health among the vulnerable, older adult population. When ICT is used specifically for communication with others, it is associated with reduced loneliness in older populations. Research is sparse on how the implementation of ICT, used specifically for communication among older people in social services, can be performed. It is recommended to consider the determinants of implementation, that is, barriers to and facilitators of implementation. Determinants related to older people using ICT tools are reported in several studies. To the best of our knowledge, studies investigating the determinants related to the social services perspective are lacking. Objective: This study aims to explore the determinants of implementing the Fik@ room, a new, co-designed, and research-based ICT tool for social interaction among older people, from a social services personnel perspective. Methods: This study used an exploratory, qualitative design. An ICT tool called the Fik@ room was tested in an intervention study conducted in 2021 in 2 medium-sized municipalities in Sweden. Informants in this study were municipal social services personnel with experience of implementing this specific ICT tool in social services. We conducted a participatory workshop consisting of 2 parts, with 9 informants divided into 2 groups. We analyzed the data using qualitative content analysis with an inductive approach. Results: The results included 7 categories of determinants for implementing the ICT tool. Being able to introduce the ICT tool in an appropriate manner concerns the personnel's options for introducing and supporting the ICT tool, including their competencies in using digital equipment. Organizational structure concerns a structure for communication within the organization. Leadership concerns engagement and enthusiasm as driving forces for implementation. The digital maturity of the social services personnel concerns the personnel's skills and attitudes toward using digital equipment. Resources concern time and money. IT support concerns accessibility, and legal liability concerns possibilities to fulfill legal responsibilities. Conclusions: The results show that implementation involves an entire organization at varying degrees. Regardless of how much each level within the organization comes into direct contact with the ICT tool, all levels need to be involved to create the necessary conditions for successful implementation. The prerequisites for the implementation of an ICT tool will probably change depending on the digital maturity of future generations. As this study only included 9 informants, the results should be handled with care. The study was performed during the COVID-19 pandemic, which has probably affected the results. ", doi="10.2196/43999", url="https://aging.jmir.org/2024/1/e43999", url="http://www.ncbi.nlm.nih.gov/pubmed/38407955" } @Article{info:doi/10.2196/47908, author="Sen, Keya and Laheji, Nida and Ramamonjiarivelo, Zo and Renick, Cecil and Osborne, Randall and Beauvais, Brad", title="Examining the Effect of Contactless Intergenerational Befriending Intervention on Social Isolation Among Older Adults and Students' Attitude Toward Companionship: Content Analysis", journal="JMIR Aging", year="2024", month="Jan", day="30", volume="7", pages="e47908", keywords="intergenerational befriending", keywords="social isolation", keywords="boredom", keywords="contactless socialization", keywords="service learning", keywords="internal motivation", keywords="mobile phone", abstract="Background: Intergenerational friendship, a mechanism of social support, is an effective intervention to reduce the increasing risk of social isolation (SI) and develop companionship in the older adult population. The COVID-19 pandemic provided a unique opportunity to examine the psychosocial intervention of befriending via technology use as a primary form of contactless socialization. Objective: The study aims to explore the effectiveness of the befriending intervention through a contactless, intergenerational service-learning project on older adult emotions, especially boredom and loneliness as the key attributes of SI, and on students' attitude toward companionship. Methods: During the months of January to April 2022 , undergraduate students enrolled in a health administration course with a special focus on culture were asked to be involved in a contactless, intergenerational service-learning project (n=46). In this study, contactless intervention meant communication using the telephone and apps such as FaceTime and Zoom. Students were paired with older adults to have at least a 30-minute weekly conversation, for 8 weeks, via telephone or an internet-based app such as FaceTime. Students were asked to write a half-page diary after each interaction and a 1-page reflection at the end of the fourth week and at the end of the service-learning project. At the completion of the project, the researchers also surveyed the older adults to assess the impact of the project using a 5-item open-ended questionnaire. Following a heuristic approach and content analysis, student artifacts (110,970 words; 118-page, single-spaced Microsoft Word document) and the older adult surveys were analyzed using MAXQDA, (VERBI GmbH). Qualitative data were extracted to assess the impact of service learning on SI by measuring the attributes of boredom and loneliness among 46 older adults. Students' attitudes toward companionship were also assessed using data from their diaries and reflections. Results: Overall, three major constructs were identified: (1) meaningful engagement, defined as feeling safe, having increased confidence, and having reduced boredom; (2) internal motivation to participate in the weekly interaction, defined as discussion about daily life experience, level of happiness, and ability to exert personal control over the situation; and (3) intergenerational befriending, defined as perceived benefits from the friendly nature of the interaction, ability to comfortably connect with students, and positive feeling and attitude toward the student. Conclusions: The contactless, intergenerational befriending intervention reduced boredom and loneliness among older adults and enhanced positive attitude and confidence among university students. Students helped older adults to develop digital skills for the use of apps and social media. Older adults showed interest in the intervention and shared their daily life experiences with the students, which helped to reduce the gap between generations. Findings indicate the effectiveness of an intergenerational service-learning intervention on SI reduction and increased positive attitude among college students. ", doi="10.2196/47908", url="https://aging.jmir.org/2024/1/e47908", url="http://www.ncbi.nlm.nih.gov/pubmed/38175944" } @Article{info:doi/10.2196/49253, author="Pang, Mingli and Wang, Jieru and Zhao, Mingyue and Chen, Rui and Liu, Hui and Xu, Xixing and Li, Shixue and Kong, Fanlei", title="The Migrant-Local Difference in the Relationship Between Social Support, Sleep Disturbance, and Loneliness Among Older Adults in China: Cross-Sectional Study", journal="JMIR Public Health Surveill", year="2024", month="Jan", day="9", volume="10", pages="e49253", keywords="loneliness", keywords="social support", keywords="sleep disturbance", keywords="older adults", keywords="migrant-local difference", keywords="structural equation modeling", abstract="Background: Driven by the accelerated aging of the population of China, the number of older adults has increased rapidly in the country. Meanwhile, following children, migrant older adults (MOA) have emerged as a vulnerable group in the process of fast urbanization. Existed studies have illustrated the association between social support and loneliness and the relationship between sleep disturbance and loneliness; however, the underlying mechanisms and the migrant-local difference in the association between social support, sleep disturbance, and loneliness have not been identified. Objective: This study aimed to clarify the migrant-local difference in the relationship between social support, sleep disturbance, and loneliness in older adults in China. Methods: Multistage cluster random sampling was used to select participants: 1205 older adults (n=613, 50.9\%, MOA and n=592, 49.1\%, local older adults [LOA]) were selected in Weifang City, China, in August 2021. Loneliness was assessed with the 6-item short-form University of California, Los Angeles Loneliness Scale, social support was evaluated with the Social Support Rating Scale, and sleep disturbance was measured with the Pittsburgh Sleep Quality Index. The chi-square test, t test, and structural equation modeling (SEM) were adopted to explore the migrant-local difference between social support, sleep disturbance, and loneliness among the MOA and LOA. Results: The mean score of loneliness was 8.58 (SD 3.03) for the MOA and 8.00 (SD 2.79) for the LOA. SEM analysis showed that social support exerts a direct negative effect on both sleep disturbance (standardized coefficient=--0.24 in the MOA and --0.20 in the LOA) and loneliness (standardized coefficient=--0.44 in the MOA and --0.40 in the LOA), while sleep disturbance generates a direct positive effect on loneliness (standardized coefficient=0.13 in the MOA and 0.22 in the LOA). Conclusions: Both MOA and LOA have a low level of loneliness, but the MOA show higher loneliness than the LOA. There is a negative correlation between social support and loneliness as well as between social support and sleep disturbance among the MOA and LOA (MOA>LOA), while loneliness is positively associated with sleep disturbance in both populations (MOA