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 Rochester, USA


Impact Factor 5.0 CiteScore 6.5

JMIR Aging (JA, ISSN 2561-7605, Journal Impact Factor™ 5.0, (Journal Citation Reports™ from Clarivate, 2024)) 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. 

JMIR Aging received a Journal Impact Factor™ of 5.0 (ranked as the top ranked journal #1/47 in the category Gerontology and Q1 journal #12/47 in the category Geriatrics and Gerontology) (Journal Citation Reports™ 2024 from Clarivate).

It also has a Scopus CiteScore of 6.5, placing it in the 89th percentile (#41 of 371) as a Q1 journal in the field of Health (Social Science), the 80th percentile (#8 of 39) as a Q1 journal in the field of Gerontology (Medicine), and the 77th percentile (#27 of 116) as a Q1 journal in the field of Geriatrics and Gerontology (Medicine). The journal is indexed in PubMed, PubMed CentralMEDLINE, Sherpa/Romeo, DOAJScopus, EBSCO/EBSCO Essentials, and the Science Citation Index Expanded (Clarivate)

The target audience of JMIR Aging includes physicians, nurses, allied health professionals, advanced clinical practitioners, patients and caregivers. We publish original research, viewpoints, and reviews (both literature reviews and technology reviews). 

Recent Articles

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Assisted Living for the Elderly and Nursing Home Care

Teleconsultation has expanded rapidly in recent years, especially during the COVID-19 pandemic, and has become standard practice among physicians. The benefits of teleconsultation, namely, improving access to care, ensuring continuity and quality of care, increasing patient satisfaction, and reducing costs and wait times, are well documented. However, its use in nursing practice, especially in long-term care settings, remains underresearched despite its significant transformative potential, particularly in resource-limited and rural settings, where it could address major challenges such as nursing shortages and access to care.

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Addressing Digital Ageism in the Modern Era

The World Health Organization’s (WHO) publication on age-friendly environments (AFEs) imagines future cities to become more age-friendly to harness the latent potential of older adults, especially those who have restricted mobility. AFE has important implications for older adults in maintaining social connections, independence, and successful aging-in-place. However, technology is notably absent in the 8 intersecting domains of AFEs that the WHO imagines improve older adult well-being, and we investigated whether technology should form a ninth domain. While mobility was severely restricted, the COVID-19 pandemic provided an opportunity to test how older adults’ perceptions of their AFE changed and what role technology was playing.

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Social Media in Aging

Alzheimer disease (AD) is the leading type of dementia, demanding comprehensive understanding and intervention strategies. In the United States, where over 6 million people are impacted, the prevalence of AD and related dementias (AD/ADRD) presents a growing public health challenge. However, individuals living with AD/ADRD and their caregivers frequently express feelings of marginalization, describing interactions characterized by perceptions of patient infantilization and a lack of respect.

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Physical Activity for Older People

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 multi-center data on this issue in China

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Aging with Chronic Disease

Cognitive impairment, indicative of Alzheimer's disease and other forms of dementia, significantly deteriorates the quality of life of elderly populations and imposes considerable burdens on families and healthcare systems globally. The early identification of individuals at risk for cognitive impairment through a convenient and rapid method is crucial for the timely implementation of interventions.

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Mobile Devices and Apps for Seniors and Healthy Aging

Sleep-dependent memory (SDM) is the phenomenon where newly obtained memory traces are consolidated from short-term memory stores to long-term memory, underpinning memory for daily life. Administering SDM tasks presents considerable challenges, particularly for older adults with memory concerns, due to the need for sleep laboratories and research staff present to administer the task. In response, we have developed a prototype mobile application aimed at automating the data collection process.

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Mobile Devices and Apps for Seniors and Healthy Aging

Previous research has shown that in-lab motor skill acquisition (supervised by an experimenter) is sensitive to biomarkers of Alzheimer’s disease (AD). However, remote unsupervised screening of AD risk through a skill-based task via the internet has the potential to sample a wider and more diverse pool of individuals at scale.

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Frailty Detection, Assessment and Prediction

Disturbed sleep patterns are common among older adults and may contribute to cognitive and physical declines. However, evidence for the relationship between sleep duration and cognitive frailty, a concept combining physical frailty and cognitive impairment in older adults is lacking.

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Viewpoints, Perspectives, Ideas on Aging

Digital twins—dynamic and real-time simulations of systems or environments—represent a paradigm shift in emergency medicine. We explore their applications across prehospital care, in-hospital management, and recovery. By integrating real-time data, wearable technology, and predictive analytics, digital twins hold the promise of optimizing resource allocation, advancing precision medicine, and tailoring rehabilitation strategies. Moreover, we discuss the challenges associated with their implementation, including data resolution, biological heterogeneity, and ethical considerations, emphasizing the need for actionable frameworks that balance innovation with data governance and public trust.

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Big Data Analytics for Elder Care

Disability profoundly affects older adults’ quality of life and imposes considerable burdens on healthcare systems in China’s aging society. Timely predictive models are essential for early intervention.

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Usability and Technology Use Studies with Elder Subjects

Frailty syndrome increases the vulnerability of older adults. The growing proportion of older adults highlights the need to better understand the factors contributing to the prevalence of frailty. Current evidence suggests that geomatic tools integrating geolocation can provide valuable information for implementing preventive measures by enhancing the urban physical environment.

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Information and Patient Education on Healthy Aging

The global increase in life expectancy has not been paralleled by a similar rise in healthy life expectancy. Accurate assessment of biological aging is crucial for mitigating diseases and socioeconomic burdens associated with aging. Current biological age prediction models are limited by their reliance on conventional statistical methods and constrained clinical information.

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