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Cognitive and Spontaneous Brain Activity in Nonaddictive Smartphone Users Among Older Adults in China: Cross-Sectional Study

Cognitive and Spontaneous Brain Activity in Nonaddictive Smartphone Users Among Older Adults in China: Cross-Sectional Study

This study was conducted from June 2023 to August 2023 in a village in Hubei, China, and all participants are registered local residents aged over 60 years. We recruited them by entrusting the village committee to spread an oral recruitment notice and then hired a fixed place in the village to complete the subsequent investigation. Data acquisition was completed by 7‐10 investigators with standardized training. A total of 1030 participants were initially screened for this study.

Zhenyu Wan, Xucong Qin, Qirong Wan, Baohua Xu, Hong Lin, Fangcheng Ouyang, Gaohua Wang

J Med Internet Res 2025;27:e63485

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

A study that used structural equation modeling among Chinese older adults aged 65 and above found that mobility impairments were significantly associated with decreased levels of social participation [68]. These findings underscore the critical role of physical activity in maintaining mobility and suggest that reduced mobility may contribute to lower levels of social engagement. Sleep may have a relatively weaker direct association with social interaction frequency compared with physical activity.

Bada Kang, Min Kyung Park, Jennifer Ivy Kim, Seolah Yoon, Seok-Jae Heo, Chaeeun Kang, SungHee Lee, Yeonkyu Choi, Dahye Hong

J Med Internet Res 2025;27:e69379

Ecological Momentary Assessment to Measure Social Connectedness in Older Adults: Integrative Review

Ecological Momentary Assessment to Measure Social Connectedness in Older Adults: Integrative Review

This review focused on the following variables of interest: target population (older adults aged 60 years or older), concept (EMA), and context (social connectedness). In this study, EMA was defined as a method of repeatedly measuring experiences, behaviors, and emotions in real time or in close proximity to an individual’s daily environment.

Seongmi Choi, Hun Kang, Jiyoung Shin, Sang Hui Chu, JiYeon Choi

J Med Internet Res 2025;27:e66324

Impact of 12-Month mHealth Home Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 Diabetes: Multicenter Randomized Controlled Trial

Impact of 12-Month mHealth Home Telemonitoring on Clinical Outcomes in Older Individuals With Hypertension and Type 2 Diabetes: Multicenter Randomized Controlled Trial

The study enrolled participants aged 65 years and older with both AH and T2 D. Convenient sampling was used, with patients invited by their general practitioners (GPs) during regular checkups. Upon agreement, participants were randomly assigned in a 1:1 ratio to either the telemonitoring or standard care group. Randomization was performed by a third party independent of the study.

Matic Mihevc, Majda Mori Lukančič, Črt Zavrnik, Tina Virtič Potočnik, Nina Ružić Gorenjec, Marija Petek Šter, Zalika Klemenc-Ketiš, Antonija Poplas Susič

JMIR Mhealth Uhealth 2025;13:e59733

Digital, Personalized Clinical Trials Among Older Adults, Lessons Learned From the COVID-19 Pandemic, and Directions for the Future: Aggregated Feasibility Data From Three Trials Among Older Adults

Digital, Personalized Clinical Trials Among Older Adults, Lessons Learned From the COVID-19 Pandemic, and Directions for the Future: Aggregated Feasibility Data From Three Trials Among Older Adults

Briefly, this study was a series of 60 randomized, personalized trials examining the effects of 4 behavior change techniques (BCTs) to increase low-intensity walking among middle and older adults (aged 45 to 75 years). The 4 BCTs used were goal setting, action planning, self-monitoring of behavior, and feedback on behavior. Prior research has shown these BCTs to be effective in increasing physical activity among older adults [37].

Lindsay Arader, Danielle Miller, Alexandra Perrin, Frank Vicari, Ciaran P Friel, Elizabeth A Vrany, Ashley M Goodwin, Mark Butler

J Med Internet Res 2025;27:e54629

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

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

In the United States, chronic conditions such as diabetes, hypertension, and arthritis affect almost 95% of adults aged 60 years and older [4]. Among Medicare beneficiaries, about two-thirds have 3 or more chronic conditions and nearly one-fourth have 5 or more [5,6]. Treatment of co-occurring morbidities is complicated and costly given their complexity, prevalence, and ongoing nature [5,7]. For these same reasons, self-management is a vital aspect of patient care.

David H Gustafson Sr, Marie-Louise Mares, Darcie C Johnston, John J Curtin, Klaren Pe-Romashko, Gina Landucci

JMIR Res Protoc 2025;14:e64449

Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

In India, 10.9% (7.2%‐16.3%) of individuals aged 65 years and above with diabetes have DR, with 2.3% (1.2%‐4.4%) suffering from vision-threatening diabetic retinopathy (VTDR) [1], characterized by severe retinopathy or macular edema [2]. DR is typically asymptomatic in its early stages, and it can lead to visual impairment or blindness if left untreated [3]. The rate of blindness due to VTDR is expected to rise proportionately to the exponential increase in DM prevalence [4,5].

Anshul Chauhan, Anju Goyal, Ritika Masih, Gagandeep Kaur, Lakshay Kumar, ­ Neha, Harsh Rastogi, Sonam Kumar, Bidhi Lord Singh, Preeti Syal, Vishali Gupta, Luke Vale, Mona Duggal

JMIR Form Res 2025;9:e67047

A Smartphone-Based Timed Up and Go Test Self-Assessment for Older Adults: Validity and Reliability Study

A Smartphone-Based Timed Up and Go Test Self-Assessment for Older Adults: Validity and Reliability Study

An ICC value A total of 52 community-dwelling older adults aged between 66 and 88 years (mean 73.6, SD 5.4) were measured, with a similar distribution of men (25/52, 48%) and women (27/52, 52%) and a mean BMI of 27.1 kg/m2 (SD 4.1). Of those who provided the data, all were retired, almost all were German citizens (49/52, 98%) and one third (16/52, 33%) lived alone. Participants indicated an average of 2.3 (SD 1.7) comorbidities according to the Groll Index.

Melissa Johanna Böttinger, Sabato Mellone, Jochen Klenk, Carl-Philipp Jansen, Marios Stefanakis, Elena Litz, Anastasia Bredenbrock, Jan-Philipp Fischer, Jürgen M Bauer, Clemens Becker, Katharina Gordt-Oesterwind

JMIR Aging 2025;8:e67322

A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer

A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer

Inclusion criteria were individuals aged 65 years and older, possessing corrected-to-normal vision, and demonstrating the ability to comprehend simple instructions. Older adults with orthopedic or neurological disorders that might have impacted their capacity to handle a controller or that could alter upper extremity movements were excluded from the study. Participants’ cognition was screened using the Montreal Cognitive Assessment [48].

Gauthier Everard, Louise Declerck, Thierry Lejeune, Martin Gareth Edwards, Justine Bogacki, Cléo Reiprich, Kelly Delvigne, Nicolas Legrain, Charles Sebiyo Batcho

JMIR Aging 2025;8:e64004

A New Computer-Based Cognitive Measure for Early Detection of Dementia Risk (Japan Cognitive Function Test): Validation Study

A New Computer-Based Cognitive Measure for Early Detection of Dementia Risk (Japan Cognitive Function Test): Validation Study

A review and recommendation on routine screening for cognitive impairment in adults aged 65 years and older by the US Preventive Services Task Force asks that clinicians remain alert to early signs of cognitive impairment for individual evaluation [3]. A systematic review on digital cognitive tests reported that most of these tests showed diagnostic performance comparable with that of paper-and-pencil tests for mild cognitive impairment (MCI) and dementia [8].

Hiroyuki Shimada, Takehiko Doi, Kota Tsutsumimoto, Keitaro Makino, Kenji Harada, Kouki Tomida, Masanori Morikawa, Hyuma Makizako

J Med Internet Res 2025;27:e59015