Evidence map›Paper›PMID 38980879›Full record

ArticlePloS one2024

Are healthy ageing trajectories suitable to identify rehabilitation needs of the ageing population? An exploratory study using ATHLOS cohort data.

Carla Sabariego, Jsabel Hodel, Vanessa Seijas, Angel Rodriguez-Laso, Jerome Bickenbach, Cristina Ehrmann

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carla SabariegoSwiss Paraplegic Research, Nottwil, Switzerland.ORCID 0000-0001-6946-0177
Jsabel HodelSwiss Paraplegic Research, Nottwil, Switzerland.ORCID 0000-0001-9554-2950
Vanessa SeijasSwiss Paraplegic Research, Nottwil, Switzerland.
Angel Rodriguez-LasoCIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
Jerome BickenbachSwiss Paraplegic Research, Nottwil, Switzerland.
Cristina EhrmannSwiss Paraplegic Research, Nottwil, Switzerland.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
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
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
COLLABORATIVE STUDY OF AGING IN THE US AND AUSTRALIAR01AG008523 · NIA · DUKE UNIVERSITY · PI MYERS, GEORGE C · 1991 to 1995
–
NIA NIH HHS HHSN271201300071CNIA NIH HHS R01 AG008523NIA NIH HHS R01 AG017644NIA NIH HHS R01 AG018016NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG052527NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

backgroundThe ageing process is highly heterogeneous leading to diverse ageing trajectories. Such trajectories have been modelled to study trends and determinants of ageing and could potentially be used to inform the planning of rehabilitation services at population level. The objective of this paper was to explore whether healthy ageing trajectories are suitable to identify targets for rehabilitation interventions for the ageing population.

methodsData from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) harmonized cohort and the English Longitudinal Study of Ageing (ELSA), which is included in ATHLOS, were used. Growth mixture models were implemented to replicate healthy ageing trajectories modelled elsewhere as 'high stable', 'low stable', and 'rapid decline'. Regularized partial correlation networks were used to estimate expected-influence and bridge expected-influence centrality measures.

resultsHealthy ageing trajectories modelled with ATHLOS (N = 131116) and ELSA (N = 14904) were consistent with previous work. At the first individual wave, prevalence of problems of respondents in the 'high stable' and 'rapid decline' trajectories were comparable; at the last individual wave, prevalence remained similar for the 'high stable' but increased substantially in all domains for the 'rapid decline' trajectory. Expected-influence centrality measures provided different results than prevalence estimates. For instance, in the first individual wave mobility and carrying, moving, and handling objects had highest impact on overall functioning for the 'rapid decline' and 'high stable' trajectories, while the most prevalent functioning problems concerned cognition, pain, as well as energy and drive functions.

conclusionsOur study stressed the relevance of healthy ageing trajectories for identifying functioning domains and categories that need to be targeted by rehabilitation services in a heterogeneous ageing population. The use of such trajectories at country level has the potential to make a meaningful contribution to the planning and delivery of rehabilitation interventions through health systems and to informed policy making.

Indexed as

Healthy AgingAgedAged, 80 and overAgingCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRehabilitation

Identifiers

PMID38980879
PMCPMC11232974

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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.