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Understanding the aging process and the sociodemographic determinants related to enhancing the quality of life has emerged as a very relevant research area in light of the rapid aging of the global population [1-3]. Currently, 12% of the world’s population is aged ≥60 years, and projections suggest that this proportion may rise to 21.5% by the mid century [4]. Similarly, the ≥80 years age group is expected to increase from 1.7% to 4.5% [4].
JMIR Aging 2025;8:e64254
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Despite the presumed barriers to enrolling older adults in digital, remote clinical research, several trials conducted during the COVID-19 pandemic have succeeded in this pursuit, including a longitudinal brain aging study [20], a telemedicine initiative in a primary care setting [21], telehealth delivery of music therapy services [22], and a digital group intervention addressing worry and social isolation [23].
J Med Internet Res 2025;27:e54629
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This demographic shift toward an aging population has led to increased health care dependency and associated social costs. The medical industry related to aging and the social costs thereof are continuously increasing [2]. Accurately assessing biological aging is a critical first step in mitigating age-related diseases and their socioeconomic impact.
JMIR Aging 2025;8:e64473
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With aging and frailty, the risk of unplanned hospitalizations is increased.
Studies show that in France, older adults living at home represent 13% of the population that is hospitalized at least once a year, compared to 6% for the general population [2,3]. According to medico-economic data, nearly 1.6 million people aged >80 years were hospitalized in 2017, twice the number in the general population.
JMIR Form Res 2025;9:e63700
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Cognitive training is increasingly being considered and proposed as a solution for several pathologies, particularly those associated with aging. However, trainees must be willing to invest enough mental effort to succeed and make progress. During the execution of an activity, we have the possibility of voluntarily activating our mental resources to reach a level of performance set by the task or by ourselves.
JMIR Form Res 2025;9:e63491
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With the prevalence of Alzheimer disease (AD) and AD and related dementias (ADRD) increasing alongside the aging population and the availability of new treatments, there is a need to quantify risk and detect cognitive decline at the earliest stage [1]. It is estimated that only a small minority of older adults with mild cognitive decline are accurately identified early [2], missing an opportunity for early intervention.
JMIR Hum Factors 2025;12:e69952
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Reference 20: Assessing mobility in older adults: the UAB study of aging life-space assessmentaging
JMIR Form Res 2025;9:e63064
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a FIMA: Questionnaire for the Use of Medical and Non-Medical Services in Old Age [39].
b URN: Caregiver unmet resource needs scale [40].
c EQ-5 D-5 L: Health-related quality of life [41].
d ZBI-7: Zarit Burden Interview [42,43].
e LSNS-6: Lubben Social Network Scale [44,45].
f BIZA-D: The Berlin inventory of the burden on relatives - dementia – Module 3,5,and 6 [46].
g CANE: Camberwell Assessment of Need for the Elderly [47,48].
h DQo L-OC: The Dementia Quality of Life Scale for Older Family Carers [49].
i HABC: Healthy Aging
JMIR Aging 2025;8:e59942
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Our thematic analysis identified 3 main themes with respect to participants’ perceptions of exercise in general and with the synchronous online exercise program: health, exercise, and aging beliefs; the pandemic interruption and impacts; and synchronous online exercise programs attenuate barriers to exercise (Textbox 1).
JMIR Aging 2025;8:e66473
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The world population is moving toward an aging society. As health care technology improves, people are expected to live longer and healthier [1]. According to the World Health Organization, the population aged ≥60 years will increase from 1 billion in 2020 to 2.1 billion in 2050 and the number of people aged ≥80 years will reach 426 million in 2050 [2].
JMIR Aging 2025;8:e62942
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