Evidence map›Paper›PMID 42237137›Full record

ArticleBMC public health2026

The association between retirement and 24-hour movement behaviour composition in older adults.

Mi Zhou, Dan Li, Ruirui Xing, Mingyue Zhang, Zhen Ji, Xiaomei Song, Hu Wang

Abstract read
In one paragraph

Article in BMC public health, 2026. 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

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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

7 authors.

Mi Zhou *Alliance for Research in Exercise, Nutrition, and Activity, Adelaide University, Adelaide, South Australia, Australia. mchow552@gmail.com.
Dan Li *Follow-up Office, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Ruirui XingInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Mingyue ZhangDepartment of Kinesiology and Health, Iowa State University, Ames, Iowa, USA.
Zhen JiSuzhou Health Information Centre, Suzhou Health Commission, Suzhou, Jiangsu, China.
Xiaomei SongDepartment of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China. 22046172g@connect.polyu.hk.
Hu WangSuzhou Sports Supervision and Support Center, Suzhou, Jiangsu, China. 2216086599@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRetirement represents a major life-course transition that may be associated with differences in 24-hour movement behaviour composition; however, existing studies have rarely considered heterogeneity across stages of retirement. This study examined the association between retirement and 24-hour movement behaviour composition and explored whether these associations differed by sex and years since retirement.

methodsData were drawn from wave 8 of the Survey of Health, Ageing and Retirement in Europe (SHARE), including 728 adults (42.4% male; mean age 69.2 years) from ten European countries. Retirement status was self-reported. Daily movement behaviours, moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), sedentary behaviour (SB), and sleep, were derived from thigh-worn accelerometers. Propensity score matching with inverse probability weighting was used to improve covariate balance. Compositional data analysis with isometric log-ratio transformation was applied to estimate associations between retirement status and 24-hour movement behaviour composition.

resultsRetirement status was significantly associated with 24-hour movement behaviour composition. Compared with non-retired adults, retired individuals showed lower relative MVPA (2.87% vs. 4.43%), and higher relative SB (41.40% vs. 40.98%) and sleep (37.51% vs. 33.87%). Analyses by years since retirement indicated that those retired within the last 5 years had a similar movement behaviour composition to non-retired adults, whereas those retired for more than 5 years showed lower relative MVPA and higher relative SB and sleep, with the most distinct pattern observed among those retired for more than 20 years. These patterns were broadly similar across sexes. The association between retirement status and relative sleep appeared stronger in males than in females.

conclusionRetirement was associated with differences in the 24-hour movement behaviour composition of older adults, characterised by lower relative MVPA and higher relative SB and sleep. These differences were more evident among those retired for longer periods. The findings highlight the need for continued support for healthy movement behaviours across the retirement period.

Indexed as

ExerciseRetirementAccelerometryAgedEuropeFemaleHumansMaleMiddle AgedSedentary BehaviorSleepSleep DurationAgeingCompositional data analysisPhysical activityRetirementSedentary behaviourSleep

Identifiers

PMID42237137
PMCPMC13501668

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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.