Evidence map›Paper›PMID 41611459›Full record

Observational studyBMJ open2026

Sociodemographic and maternal-related correlates of children's movement behaviours from preschool to adolescence in Singapore: a longitudinal cohort study.

Sarah Yi Xuan Tan, Sarah M Edney, Natarajan Padmapriya, Shuen Lin Tan, Yap Seng Chong, Kok Hian Tan, Fabian Yap, Keith Godfrey, Yung Seng Lee, Johan G Eriksson and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Sarah Yi Xuan TanSaw Swee Hock School of Public Health, National University of Singapore, Singapore sarah.tan@nus.edu.sg.ORCID http://orcid.org/0000-0002-6328-3250
Sarah M EdneySaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Natarajan PadmapriyaSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Shuen Lin TanInstitute for Human Development and Potential, Agency for Science, Technology and Research, Singapore.
Yap Seng ChongDepartment of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Kok Hian TanKK Women's and Children's Hospital, Singapore.
Fabian YapDuke-National University of Singapore, Singapore.
Keith GodfreyMedical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
Yung Seng LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID http://orcid.org/0000-0002-1253-0557
Johan G ErikssonSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Jonathan Y BernardCentre for Research in Epidemiology and Statistics, INSERM, Villejuif, France.ORCID http://orcid.org/0000-0002-6418-983X
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCurrent evidence is unclear due to methodological limitations. We bridge critical knowledge gaps by quantifying the longitudinal changes in movement behaviours and their correlates from early childhood through adolescence.

designLongitudinal observational cohort study.

settingGeneral healthy child and adolescent sample in Singapore.

participantsGrowing Up in Singapore Towards healthy Outcomes study participants. PRIMARY AND SECONDARY OUTCOME MEASURES: We used wrist-worn accelerometry and proxy-reported data to examine movement behaviours (sleep, inactivity, light physical activity (PA; LPA) and moderate-to-vigorous PA (MVPA) and screen-viewing) at ages 5.5, 8, 10 and 12 years and the sociodemographic and maternal lifestyle-related correlates using linear regression models with generalised estimating equations.

resultsAmong 837 children, sleep, LPA and MVPA declined by 3% (from 9.1 to 8.8 hours/day), 24% (from 5.8 to 4.4 hours/day) and 44% (from 71.3 to 40.1 min/day), respectively, while inactivity and screen viewing increased by 26% (from 8.0 to 10.1 hours/day) and 155% (from 1.8 to 4.6 hours/day), respectively, from ages 5.5 to 12 years. The greatest annual increase in inactivity (0.6 hour/annum) and screen-viewing (0.8 hour/annum) and decrease in LPA (0.3 hour/annum) and MVPA (10.4 min/annum) occurred from ages 8 to 10 years. Girls of Malay ethnicity and lower socioeconomic status, and whose mothers had less favourable movement behaviours, had significantly less sleep, higher inactivity and screen-viewing and/or lower PA. Maternal PA levels and/or sitting time were associated with children's sleep, inactivity and MVPA up to age 8 years, while maternal sitting and screen-viewing behaviours were associated with children's screen-viewing at all ages.

conclusionsUsing contemporaneous datasets relevant to the present day, we confirmed that children become less physically active and have longer screen-viewing as they transition into adolescence and highlighted characteristics to be prioritised in future interventions.

Indexed as

Child BehaviorExerciseMothersSedentary BehaviorSleepAccelerometryAdolescentChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleScreen TimeSingaporeSociodemographic FactorsAdolescentChildObservational StudyPUBLIC HEALTH

Identifiers

PMID41611459
PMCPMC12863346

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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.