ArticleJAMA network open2025
Intrinsic Capacity Across 15 Countries in the Survey of Health, Aging, and Retirement in Europe.
Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Alzheimer's disease biomarkers in relation to non-cognitive domains within the intrinsic capacity framework: a narrative review.GeroScience · 2026Review
- Intrinsic capacity and self-perceived health among home-dwelling older adults: The HUNT study.The Journal of frailty & aging · 2026Article
- Definition and conceptual framework of the psychological domain of intrinsic capacity in healthy ageing: outcomes from the MOSAIC International Working Group.The journal of nutrition, health & aging · 2026Article
- Association of Changes in Intrinsic Capacity With Cognitive Decline and Dementia: A Prospective Cohort Study.Neurology · 2026Article
- Rethinking frailty and intrinsic capacity in medical education in Europe through an EAMA student collaboration.European geriatric medicine · 2026Article
- Understanding temporal changes in intrinsic capacity: analysis of domain-specific intrinsic capacity using SHARE data.GeroScience · 2026Article
- Validity of the Derby Scale of Intrinsic Capacity and its association with Pain: a usable measurement of intrinsic capacity based on the English Longitudinal Study of Ageing.European geriatric medicine · 2026Article
- Intrinsic capacity and comorbidity burden capture distinct but age-driven dimensions of health in older postmenopausal women.Aging clinical and experimental research · 2026Article
- Flavonoid compounds from Shenrong Guben Huanshao Pill alleviates senescence-associated mitochondrial dysfunction through NDUFV2 and LDHB mediated metabolic reprogramming.Journal of pharmaceutical analysis · 2026Article
- Intrinsic capacity and survival among older adults in India: LASI-DAD study (wave 1 and wave 2).The Lancet regional health. Southeast Asia · 2026Article
- Association between intrinsic capacity and disability before death among older adults: a decedent cohort study.The lancet. Healthy longevity · 2026Article
- Associations of Baseline and Changes in Intrinsic Capacity With Incident Cardiovascular Disease: A Multicohort Study.Journal of the American Heart Association · 2026Article
- Editorial: Intertwining paths: sensorimotor and cognitive dynamics in neurocognitive aging.Frontiers in aging neuroscience · 2026Article
- Research progress on intrinsic capacity in older adults: Concepts, epidemiology, assessments, influencing factors, adverse outcomes, and interventions.Global health & medicine · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Importance: Intrinsic capacity (IC) is a core component of the World Health Organization's healthy aging framework. Yet, despite multiple validations of IC across various settings, there is still a lack of longitudinal cross-national analysis. Objective: To validate the IC construct, describe variance between key demographic groups, and create population centile curves across 15 countries using data from the Survey of Health, Aging, and Retirement in Europe (SHARE). Design, Setting, and Participants: In this population-based multicenter cohort study, data from SHARE wave 5 (January to November 30, 2013) were analyzed, and subsequent care dependence in wave 6 (January to November 30, 2015) was determined. Adults 50 years and older from SHARE wave 5 with at least 1 available measure and follow-up data in SHARE wave 6 were included. Data analyses were conducted between December 11, 2022, and June 7, 2024. Exposure: SHARE waves 5 and 6. Main Outcomes and Measures: Changes in activities of daily living (ADL) and instrumental activities of daily living (IADL). Methods included structural equation modeling, bifactor analysis, and path analysis. Construct validity was tested through multiple linear regression and validity of estimates through mediation analysis. Centile curves were established using the generalized additive models for location, scale, and shape. Results: The sample included 64 872 eligible participants aged 50 to 104 years, with a mean (SD) age of 67.24 (10.01) years, of whom 35 976 (55.46%) were women. The bifactor confirmatory factor analysis model achieved good fit (comparative fit index, 0.986; Tucker-Lewis index, 0.981), suggesting an IC structure consisting of 1 general factor and 5 subdomains. Mediation analysis indicated that IC was associated with subsequent declining performance in ADL (standard coefficient [SD], -0.213 [0.002]; P < .001) and IADL (standard coefficient [SD], -0.209 [0.002]; P < .001) after adjusting for age, gender, educational attainment, socioeconomic status, and country. Socioeconomic status was associated with IC both within and between countries. Centile curves for IC by gender and country (5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles) were constructed. Conclusions and Relevance: Results of this cohort study of older adults suggest that IC was a valid and reliable measure that effectively captured individual-level aspects of functional ability. The centile curves developed during the study suggest that IC has the potential to serve as a benchmark for health status in older populations.
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