JMIR Aging
Using technological innovations and data science to inform and improve health care services and health outcomes for older adults.
Editor-in-Chief:
Yun Jiang, PhD, MS, RN, FAMIA, University of Michigan School of Nursing, USA; and Jinjiao Wang, PhD, RN, MPhil, University of Texas Health Science Center, USA
Impact Factor 4.8 More information about Impact Factor CiteScore 6.6 More information about CiteScore
Recent Articles

As telehealth has become an increasingly common mode of care delivery, older adults may face structural, technological, and interactional barriers that limit their ability to engage with video-based care. Although digital ageism, defined as the presence of age-related stereotypes, lowered expectations, or assumptions about older adults’ technology-related competence, has been described in prior literature, less is known about how such dynamics surface during real-time telehealth encounters and how they may shape participation in technology-focused clinical trials.

Falls are prevalent and serious health problems among older adults. Concerns about falling and reduced falls efficacy are common fall-related psychological impairments, representing 2 distinct emotional and cognitive constructs, respectively. The impact of digital-based exercise interventions on these specific constructs remains unclear.


Older adults face increasing health risks associated with aging and chronic disease; yet, uptake of recommended clinical preventive services remains low. Digital health interventions have the potential to enhance access and engagement, but their effectiveness in older adult populations remains unclear.

Digital literacy (DL) is a key determinant of health and social participation in later life. In Malaysia, where population aging and family caregiving are rising, limited digital engagement among older adults may widen the gray digital divide. As caregivers and care recipients are interdependent, their digital capacities may jointly shape each other’s quality of life (QoL).


Smartphones have become deeply embedded in daily life, supporting a range of social and practical activities. Individuals with dementia can potentially use smartphones to compensate for cognitive decline and maintain independence. However, while smartphones are widely studied in controlled research settings, little is known about how individuals with dementia spontaneously use them in everyday life. Understanding usage patterns and their potential link to social participation could inform strategies to support smartphone use in their social and practical daily activities.

Adult day centers (ADC) are well-positioned to address social isolation among the rapidly growing population of people living with dementia but are underused relative to other forms of long-term care. Mistrust of these centers among family caregivers remains a barrier to their use. Digital health tools offer a promising approach to enhance transparency, improve communication, and build trust between caregivers and ADCs. As such, researchers at New York University (NYU) developed CareMobi, a user-centered mobile app that supports care coordination between ADC, care providers, and caregivers.

Age-related declines in metabolic, cardiovascular, and physical function contribute to reduced quality of life in older adults. Although structured exercise is central to healthy aging, the optimal modality remains unclear. Community-based exercise programs in China are heterogeneous, and their comparative effects on health outcomes and cardiovascular safety have not been systematically evaluated.

Digital exclusion posed a significant challenge, especially in middle-aged and older adults, which affected their health outcomes. However, the evidence regarding the associations of digital exclusion on physical or cognitive function outcomes was controversial, and no systematic review had been performed to synthesize the pooled associations.

With the growing aging population, technology that supports independent living is increasingly important. Web search systems are well established, whereas generative artificial intelligence (Gen-AI; eg, ChatGPT) represents a newer, adaptive tool that could offer personalized information access. However, little is known about how older adults, particularly those with mild cognitive impairment (MCI) or mild dementia, perceive and engage with these systems.
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