Evidence map›Paper›PMID 40354051›Full record

ArticleJAMA network open2025

Intrinsic Capacity Across 15 Countries in the Survey of Health, Aging, and Retirement in Europe.

Meimei Chen, Katja Hanewald, Yafei Si, Yuanyuan Gu, John R Beard

Abstract readMulticenter Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Meimei ChenMacquarie University Centre for the Health Economy, Macquarie Business School, Sydney, Australia.
Katja HanewaldSchool of Risk & Actuarial Studies, UNSW Business School, University of New South Wales, Sydney, Australia.
Yafei SiSchool of Risk & Actuarial Studies, UNSW Business School, University of New South Wales, Sydney, Australia.
Yuanyuan GuMacquarie University Centre for the Health Economy, Macquarie Business School, Sydney, Australia.
John R BeardRobert N. Butler Columbia Aging Center, Columbia University, New York, New York.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
Bio-medical and socio-economic precursors of cognitive decline in SHARER01AG056329 · NIA · MAX PLANCK INST/SOCIAL LAW/SOCIAL POLICY · PI BOERSCH-SUPAN, AXEL H · 2017 to 2021
$4.1M
Understanding Cross-National Health Differences at Older Ages and Their CausesR01AG063944 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI BOERSCH-SUPAN, AXEL H, CRIMMINS, EILEEN M · 2019 to 2024
$3.2M
Enhancing the Comparability of SHARE with HRS and ELSAR01AG052527 · NIA · MAX PLANCK INST/SOCIAL LAW/SOCIAL POLICY · PI BOERSCH-SUPAN, AXEL H · 2016 to 2020
$2.1M
DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECTR21AG025169 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2004 to 2006
$297k
NIA NIH HHS P01 AG005842NIA NIH HHS P01 AG008291NIA NIH HHS P30 AG012815NIA NIH HHS R01 AG052527NIA NIH HHS R01 AG056329NIA NIH HHS R01 AG063944NIA NIH HHS R21 AG025169NIA NIH HHS U01 AG009740
6 · The paper itself

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.

Indexed as

Activities of Daily LivingAgingHealthy AgingRetirementAgedAged, 80 and overEuropeFemaleHealth SurveysHumansLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID40354051
PMCPMC12070240

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.