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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

JMIR Aging (JA, ISSN 2561-7605) is an open-access journal that focuses on digital health, emerging technologies, health informatics applications, and patient education for preventative care, clinical care, home care, and self-management support for older adults. The journal also covers aging-focused big data analytics using data from electronic health record systems, health insurance databases, federal reimbursement databases (e.g. U.S. Medicare and Medicaid), and other large datasets. 

The journal is indexed in PubMed, PubMed CentralMEDLINE, Sherpa/Romeo, DOAJScopus, EBSCO/EBSCO Essentials, CABI, and the Science Citation Index Expanded (Clarivate)

JMIR Aging received a Journal Impact Factor of 4.8 according to the latest release of the Journal Citation Reports from Clarivate, 2025.

JMIR Aging recieved a Scopus CiteScore of 6.6 (2024), placing it in the 89th percentile (#39 of 376) as a Q1 journal in the field of Health (Social Science).

 

Recent Articles

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Theme Issue 2024: Addressing Digital Ageism in the Modern Era

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.

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Reviews on Aging

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.

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Reviews on Aging

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.

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Supporting Informal Care and Caregivers

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).

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AI in Older Adult Care

Cardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions and systematically assesses cardiac anatomical structures and functional dynamics. Machine learning (ML) can accurately predict outcomes and understand the inherent features of clinical data.

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Usability and Technology Use Studies with Elder Subjects

Smart glasses might present a promising solution to support older adults with cognitive impairment in maintaining independence. However, there exists a critical gap in smart glasses research that incorporates recently developed models or directly engages older adults with cognitive impairment.

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Usability and Technology Use Studies with Elder Subjects

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.

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Theme Issue 2025: Social and Cultural Drivers of Health in Aging Populations

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.

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Physical Activity for Older People

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.

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Reviews on Aging

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.

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Usability and Technology Use Studies with Elder Subjects

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.

Preprints Open for Peer Review

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