JMIR Aging

While bidirectional associations among sleep duration, cognitive function, and depression are established, the symptom-level temporal interactions among these factors in China's aging population, which is experiencing unprecedented growth, remain poorly characterized.

Frailty affects over 50% of older adults in long-term care (LTC), and early detection is critical due to its potential reversibility. Wearable sensors enable continuous monitoring of gait and physical activity, and machine learning has shown promise in detecting frailty among community-dwelling older adults. However, its applicability in LTC remains underexplored. Furthermore, dynamic gait outcomes (eg, gait stability and symmetry) may offer more sensitive frailty indicators than traditional measures like gait speed, yet their potential remains largely untapped.

Frailty is a dynamic geriatric syndrome associated with adverse health outcomes, yet its progression can be mitigated through targeted interventions.

Technology-assisted physical activity interventions for older adults in their home-based environment have been used to promote physical activity. Previous research has reported that such interventions benefit body composition, aerobic fitness, cognitive abilities and postural control, reducing the risk of falls, and maintaining regular physical activity among the older population.

In long-term care (LTC) for older adults, data on client, employee, and organization levels are collected in various ways, covering quality of care, life, and work. There is, however, a lack of understanding of how to introduce data-informed care in LTC and thus create value from data.

Lighting, especially circadian lighting, significantly affects people with dementia, influencing sleep patterns, daytime alertness, and behavioral symptoms like agitation. Since individuals experience and respond to light differently, measuring personal lighting exposure is essential for understanding its impact on health. Without individual data, the connection between lighting and health outcomes remains unclear. Wearable sensors provide a practical way to track personal light exposure, helping researchers better assess its effects on circadian rhythms and overall well-being.

Older adults with chronic diseases are key beneficiaries of digital health technologies, yet adoption remains inconsistent, particularly in rural areas and among certain demographic groups, such as older women.

Frailty is a common issue among hospitalized elderly patients and is associated with numerous adverse health outcomes. Assessing frailty facilitates better decision-making on treatment plans, patient placement, and discharge planning. Approximately a decade ago, the FI-LAB metric was introduced as a frailty index, based primarily on laboratory tests. While this index has been shown in, numerous studies, to predict adverse medical outcomes, including mortality, it has not been extensively evaluated among patients hospitalized in internal medicine departments for diverse indications.

Sarcopenia is associated with cardiovascular diseases (CVDs). However, whether changes in sarcopenia status affect CVD risk remains unclear. In addition, how indoor fuel use impacts the sarcopenia transition process is less well studied.

Informal caregiving of an older adult can be a stressful experience. Anonymous online communities, such as Reddit, provide caregivers with an avenue to disclose their stressors and seek support. However, how caregivers disclose their stressors and the effectiveness of these disclosures in eliciting desired social support remain unclear.

The transition of social and health services to digital platforms has significant implications for the inclusion and well-being of older adults. Digital literacy is a key determinant of health and equity, particularly as services shift online. For older adults, this is crucial for accessing essential services and information, aiding in emergency resource navigation and information access.

Approximately 20% of the global population is affected by mild cognitive impairment (MCI), with around 15% progressing to dementia within 2 years. Touch-based multimedia applications can support cognitive, social, and physical functioning, potentially enhancing daily life and strengthening caregiver-patient relationships through shared engagement. Although interest in dyadic, technology-assisted interventions is increasing, empirical evidence on their feasibility and acceptability in home-based settings remains scarce. In particular, little is known about their impact on caregiver–care recipient dynamics and the factors that facilitate or hinder their use.