Evidence map›Paper›PMID 42733115›Full record

ArticleBMC medicine2026

24h movement behaviours in university students compared to working age and older adults: wearable-based evidence and cardiometabolic health implications.

Ju Lynn Ong, Shuo Qin, Tara H Martin, Xin Yu Chua, Chun Siong Soon, Gizem Yilmaz, Lieng Hsi Ling, Falk Müller-Riemenschneider, Woon-Puay Koh, Michael Wl Chee

Abstract readComparative Study
In one paragraph

Article in BMC medicine, 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

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Ju Lynn Ong *Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Shuo Qin *Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Tara H MartinCentre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Xin Yu ChuaCentre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Chun Siong SoonCentre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Gizem YilmazCentre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Lieng Hsi LingDepartment of Cardiology, National University Heart Centre, National University Health System, Singapore, Singapore.
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Michael Wl CheeCentre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore. michael.chee@nus.edu.sg.

Funding

Singapore National Medical Research Council CSA-SI (MOH-000434)
6 · The paper itself

Abstract

backgroundPhysical inactivity, sedentary behaviour and inadequate sleep are established risk factors for non-communicable diseases. Although older adults are traditionally expected to be less active and more sedentary than young adults, contemporary social, occupational and educational environments may have changed this. Here, we characterised 24-hour movement behaviours (physical activity [PA], sedentary behaviour [SB], and sleep) across adulthood using wearable devices and examined their cardiometabolic correlates using a compositional data approach.

methodsData were analysed from 1,967 adults across three Singaporean cohorts: university students (n = 500; mean[SD] age 19.9[1.3] years), working-age adults (n = 437; 41.1[10.0] years), and community-dwelling older adults (n = 1,030; 74.0[2.6] years). Each person contributed 4 weeks of Oura Ring recordings on time spent in PA, SB and sleep. BMI, body roundness index (BRI), pulse wave velocity (PWV), and a composite vascular health score (zComposite) were additionally assessed. Associations between reallocations of time across 24 h-movement behaviours and these cardiometabolic outcomes were estimated using compositional data regression models.

resultsUniversity students accumulated the most SB (mean 633.89 min/day) and the lowest PA (320.28 min/day) and sleep (431.75 min/day), whereas older adults accumulated the least SB (500.86 min/day) and greatest PA (420.28 min/day) and sleep (455.62 min/day). Working-age adults showed profiles in-between the students and older adults (SB: 581.28 min/day; PA: 346.55 min/day; sleep: 445.77 min/day). In compositional models, reallocating 30 min per day to PA from other behaviours was associated with lower BMI (-0.13 kg/m²), BRI (-0.04), PWV (-0.05 m/s), and zComposite (-0.01). Reallocating 30 min per day from SB to other behaviours was associated with lower BMI (-0.28 kg/m²) and BRI (-0.07). Reallocating 30 min per day to sleep from other behaviours was related to lower BMI (-0.21 kg/m

conclusionsUniversity students exhibited lower physical activity and higher sedentary time than older adults. Reallocation of time toward greater PA, less SB and longer sleep was associated with lower cardiometabolic risk. These findings challenge conventional expectations about age-related inactivity and highlight young adulthood as a critical, under-recognised target for interventions to promote PA and reduce SB for long-term health.

Indexed as

ExerciseSedentary BehaviorStudentsWearable Electronic DevicesAdultAgedBody Mass IndexCardiovascular DiseasesDigital HealthFemaleHumansMaleMiddle AgedSingaporeSleepSleep DurationArterial StiffnessCompositional data analysisObesityPhysical activitySedentary behaviourSleepWearable devices

Identifiers

PMID42733115
PMCPMC13573439

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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.