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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Physical Activity for Older People

Older adults face several barriers to exercise participation, including transportation, lack of access, and poor weather conditions. Such barriers may influence whether older adults meet the Canadian 24-Hour Movement Guidelines. Recently, older adults have adopted technology for healthcare and are increasingly using digital health technologies to improve their access to care. Therefore, technology may be a valuable tool to reduce barriers to exercise and increase exercise participation rates within this population.

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Frailty Detection, Assessment and Prediction

Frailty is defined as a clinical state of increased vulnerability due to age-associated decline of an individual’s physical function resulting in increased morbidity and mortality when exposed to acute stressors. Early identification and management can reverse frail individuals to robust. However, we found no integration of machine learning tools and frailty screening and surveillance studies in Thailand despite the abundance of evidence of frailty assessment using machine learning globally and in Asia.

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Viewpoints, Perspectives, Ideas on Aging

As the aged care sector undergoes digital transformation, greater attention is needed to development of digital health capability in its workforce. There are many gaps in our understanding of the current and future impacts of technology on those who perform paid and unpaid aged care work. Research is needed to understand how to make optimal use of both digital resources and human resources for better aged care. In this Viewpoint, we reflect on a workshop held during an international conference that identified shared concepts and concerns to shape further research into workforce capability. Digital technologies and digital data can increase quality of care in a system that operates through partnerships among service providers, service users, and community members. To realize this potential, digital health learning and development are needed in the aged care workforce. As digital dimensions of aged care services expand, the sector needs clearer direction to implement approaches to workforce learning and development. These must be appropriate to support the safe and ethical performance of care work and to increase the satisfaction of those who care and those for whom they care.

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Supporting Informal Care and Caregivers

Caregiver-friendly workplace policies (CFWPs) are rare in Hong Kong. With Hong Kong facing a “silver tsunami” in the near future, it is important to understand the need for such policies and the views of employers for future facilitation.

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Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics

Alzheimer disease and related dementias (ADRD) exhibit prominent heterogeneity. Identifying clinically meaningful ADRD subtypes is essential for tailoring treatments to specific patient phenotypes.

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Internet Access and Digital Technology Use in an Elderly Population

The aging population and the accompanying rise in chronic diseases have intensified the need to study the adoption of telehealth services. However, the success of telehealth services depends not only on their ease and usefulness but also on addressing broader concerns. Despite being a substantial user group in traditional health services, older adults may encounter barriers to adopting telehealth services. Increasing the adoption of telehealth among the older adult population is crucial for enhancing their access to care and managing the challenges of aging effectively.

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Epidemiologic Studies and Surveys in Elder Care

In recent decades, global life expectancy has risen notably to approximately 73.5 years worldwide, coinciding with a rapid growth in the elderly population, which presents a significant public health challenge in promoting healthy aging and longevity.

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Mobile Devices and Apps for Seniors and Healthy Aging

The Timed Up and Go Test (TUG) is recommended as an evidence-based tool for measuring physical capacity. Instrumented TUG (iTUG) approaches expand classical supervised clinical applications offering the potential of self-assessment for older adults.

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Assisted Living for the Elderly and Nursing Home Care

Due to the progressive nature of dementia, concerns about the safety of nursing home residents are frequently raised. Surveillance technology, enabling visual and auditory monitoring, is often seen as a solution for ensuring safe and efficient care. However, tailoring surveillance technology to individual needs is challenging due to the complex and dynamic care environment involving multiple formal and informal stakeholders, each with unique perspectives.

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AI in Older Adult Care

Sarcopenia (loss of muscle mass and strength) increases adverse outcomes risk and contributes to cognitive decline in older adults. Accurate methods to quantify muscle mass and predict adverse outcomes, particularly in older persons with dementia, are still lacking.

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Cognitive Training for the Elderly

Cognitive impairment in older adults reduces independence and raises healthcare costs but can be mitigated through stimulating activities. Based on network theory, intricate relationships within and between clusters of Instrumental Activities of Daily Living (IADLs) and cognitive domains suggest the existence of central IADLs and cognitive domains, as well as bridge IADLs. Modifying these can significantly enhance daily living activities and cognitive functions holistically.

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Health Services Research and Health Care Utilization in Older Patients

Researchers in Nova Scotia and Ontario, Canada, implemented a passive remote monitoring (PRM) model of home care unique to their health system contexts. Each PRM model integrated tailored PRM devices (eg, motion sensors, cameras, and door alarms) into home care patients’ residences with the aim of linking patients, family and friend caregivers, and health care providers to support older adults’ aging in place.

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