JMIR Aging

Sleep-dependent memory consolidation (SDMC), the process by which sleep supports the transfer of memories into long-term storage, declines with age but remains underexplored in older adults with subjective cognitive decline and mild cognitive impairment. Traditional SDMC assessments are typically conducted in lab settings, with limited evidence for feasibility to do these assessments at home for this clinical population.

As the global population ages, the increasing number of individuals with chronic conditions places a growing burden on family caregivers. Behavioral interventions delivered via application-based platforms, including those on mobile phones, tablets, or the web, have emerged as a powerful tool for enhancing caregiver support.

Climate change has intensified the frequency and duration of extreme heat events worldwide, posing growing public health risks, particularly for older adults who are physiologically more susceptible to heat-related illnesses. Concurrently, alcohol consumption among older adults in the United States has risen significantly over the past 2 decades, increasing vulnerability to dehydration, cardiovascular strain, and cognitive impairment during heat exposure. Emerging evidence suggests that environmental stressors such as extreme heat may exacerbate maladaptive coping behaviors, including alcohol use; however, few studies have examined this association in aging populations. Moreover, little is known about how early-life experiences such as childhood adversity or positive parental relationships shape behavioral responses to environmental stressors later in life.

Dementia caregiving entails chronic, fluctuating stress with downstream risks to caregivers’ mental health and quality of care. Mindfulness-based interventions can reduce caregiver stress; however, moment-to-moment fluctuations in stress may limit receptivity to practice at any given time. We developed a brief mindfulness just-in-time adaptive intervention (JITAI) that aims to deliver support at the right moment by using machine learning algorithms to optimize notification timing based on receptivity to engage in brief mindfulness practices.

Medication regimen simplification has gained increasing attention as a strategy to reduce treatment burden and improve medication use. However, the overall development, knowledge structure, and emerging themes of this field have not been systematically mapped, hindering efforts to identify clear research priorities and support strategies that facilitate the translation of simplified approaches into optimized medication management.

Prior research has rarely explored the link between sleep duration trajectories and cardiovascular disease (CVD) either in cross-sectional or longitudinal data.

Although clustering techniques are commonly used in bibliometric analysis to identify research themes, few studies systematically assign these themes back to individual articles. This gap limits the interpretability of findings and hinders granular, article-level longitudinal analysis.

Integrated Care for Older People (ICOPE), focused on monitoring and optimizing the intrinsic capacity (IC) of older adults, is a new model of geriatric care that is currently being accelerated globally. Digital health technologies are recommended for longitudinal IC monitoring to provide precise and timely interventions. However, little is known about the psychological intentions of engaging in digital monitoring of IC according to the profile heterogeneity of IC among older adults.

As populations age globally, accurate and feasible dietary assessment for older adults has become increasingly important. South Korea has already become an “aged society,” with over 14.2% of its population being aged 65 years and older, and is projected to become one of the world’s most rapidly super-aged societies by 2050, with more than 40% of its population in this age group. Similarly, the Asia-Pacific region is experiencing accelerated population aging, with 10 countries classified as “aging societies” (>7% aged ≥65 years), 5 as “aged societies” (>14%), and 11 as “super-aged societies” (>21%) in 2025. Despite the growing need for accurate dietary monitoring in this demographic, nutritional assessment remains challenging due to limitations of conventional methods, compounded by cognitive burden, functional decline, and low literacy. Although various technology-based solutions, including web-based, scanner-based, and mobile tools, have been introduced, challenges related to usability, accuracy, and cost remain unresolved.

Falls are a major contributor to injury, disability, and mortality among older adults worldwide. Digital health–based e-counseling has emerged as a scalable strategy to support fall prevention by addressing physical, behavioral, and cognitive risk factors.

The growing aging population has increased the need for technologies that support informal caregivers in home-based older adult care. Digital twin (DT) systems offer promising capabilities; yet, their effectiveness depends on usability, an aspect still insufficiently evaluated among caregivers.

Timely medical follow-up after a diagnosis of cognitive impairment, such as mild cognitive impairment (MCI) or dementia, is imperative for initiating appropriate medical treatment and accessing comprehensive care management and psychosocial support. However, many community-dwelling older adults who receive a positive case-finding result default on their medical follow-up appointments. This persistent challenge undermines early detection and active case-finding efforts and increases the risk of early institutionalization. Understanding the determinants is important for developing effective interventions in community-based case-finding.