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Reference 49: Physical activity, injurious falls, and physical function in aging: an umbrella reviewaging
JMIR Mhealth Uhealth 2025;13:e64458
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Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks
Healthy aging is crucial for maintaining individual well-being and managing the capacity of health and social care systems [1]. The economic impact of aging is profound, with health and social care costs surging worldwide [2,3]. In addition, population aging significantly increases the global burden of disease [4]. This situation highlights the urgent need for cost-effective preventive health care strategies.
J Med Internet Res 2025;27:e65028
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Given China’s rapidly aging population [24,25], the sexual health of older adults is a growing concern. A comprehensive understanding of older adults’ sexual response problems may enhance sex education, research, policy, and clinical care for this growing population. This multicentre cross-sectional study, using data from the Sexual Well-being (SWELL) study in China, aims to fill the research gap by examining the prevalence of sexual response problems and their correlates among older adults.
JMIR Aging 2025;8:e66772
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MCI refers to a transitional state between normal aging and dementia, where cognitive impairment is apparent, but daily functioning is largely intact. Our prior work demonstrated that individuals with multiple-domain MCI had significantly more compromised SDM than healthy controls and those with single-domain MCI [6]. In this study, poorer SDM was linked to having greater sleep apnea severity for older adults without MCI.
JMIR Aging 2025;8:e68147
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Applications of Self-Driving Vehicles in an Aging Population
In this paper, we aim to provide an updated review of current and proposed applications of self-driving vehicles, particularly through the integration and application of mobility as a service to assist with prolonging the autonomy of aging persons, as well as review the limitations and future directions that have yet to be explored.
JMIR Form Res 2025;9:e66180
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However, the role APOE ε4 in aging independent of AD pathology may be significant [33], as a small but growing body of evidence in both cognitively unimpaired humans and rodents shows that visual working memory and learning is better among APOE ε4 carriers than noncarriers [34-36]. Although APOE ε4 is the primary genetic risk factor for AD [13], evidence suggests a possible benefit, or compensatory behavior [37], of learning at an earlier age while leading to impairments in later life [38,39].
JMIR Aging 2025;8:e67298
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They often coincide with aging and can be bidirectionally linked to each other [3,4], prompting the introduction of the concept of cognitive frailty—the coexistence of both physical frailty and cognitive impairment [5]. The necessity is further justified by the findings that cognitive frailty poses an even greater risk of adverse outcomes compared to the isolated effects of the 2 conditions [6,7].
JMIR Aging 2025;8:e65183
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In “Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study” (JMIR Aging 2025;8:e62942) one error was noted.
Reference 44 was a duplicate of reference 36, which reads as follows:
Thinuan P, Siviroj P, Lerttrakarnnon P, Lorga T. Prevalence and potential predictors of frailty among community-dwelling older persons in northern Thailand: a cross-sectional study. Int J Environ Res Public Health. Jun 8, 2020;17(11):4077.
JMIR Aging 2025;8:e75690
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