Evidence map›Paper›PMID 39967026›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2025

Tracking and changes in the clustering of physical activity, sedentary behavior, diet, and sleep across childhood and adolescence: A systematic review.

Finn Blyth, Emma Haycraft, Africa Peral-Suarez, Natalie Pearson

Abstract readSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Tracking and changes in the clustering of physical activity, sedentary behavior, diet, and sleep across childhood and adolescence: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Analysis of the Association Between Weight Status and Myopia in Children and Adolescents and Development of a Screening Model Based on Body Fat Percentage.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
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  6. Association of early childhood lifestyle patterns with overweight in preschoolers and timing of adiposity rebound.The international journal of behavioral nutrition and physical activity · 2026
    Article
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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

4 authors.

Finn BlythSchool of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, Leicestershire, United Kingdom of Great Britain and Northern Ireland.ORCID 0009-0000-7991-8153
Emma HaycraftSchool of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, Leicestershire, United Kingdom of Great Britain and Northern Ireland.ORCID 0000-0002-7359-1759
Africa Peral-SuarezSchool of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, Leicestershire, United Kingdom of Great Britain and Northern Ireland.ORCID 0000-0002-2023-0298
Natalie PearsonSchool of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, Leicestershire, United Kingdom of Great Britain and Northern Ireland.ORCID 0000-0003-2060-5966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClusters of health behaviors (e.g. physical activity/sedentary behavior/diet/sleep) can exert synergistic influences on health outcomes, such as obesity. Understanding how clusters of health behaviors change throughout childhood and adolescence is essential for developing interventions aimed at uncoupling unhealthy behaviors. This review synthesizes prospective studies examining changes in clusters of physical activity, sedentary behavior, diet, and sleep through childhood and adolescence.

methodsElectronic searches (PubMed, Embase, Web of Science, Scopus) identified prospective studies, published in English up to/including January 2024, of children/adolescents (0-19 years) which used data-driven methods to identify clusters of 2/more behaviors (physical activity, sedentary behaviors, diet, sleep) at multiple timepoints. A narrative synthesis was conducted due to methodological heterogeneity.

resultsEighteen studies reporting data from 26,772 individual participants were included. Eleven studies determined clusters at each timepoint (i.e. identified clusters at T1 and T2, respectively), while seven determined clusters longitudinally using behavioral data across multiple timepoints. Among studies that identified clusters at each timepoint, participants commonly transitioned to similarly characterized clusters between timepoints. Where cluster tracking was examined, 64% of clusters had stable transition probabilities of 60-100%. The most prevalent longitudinal cluster trajectories were characterized by co-occurring healthy behaviors which remained stable. Remaining within unhealthy clusters at multiple timepoints was associated with higher markers of adiposity.

conclusion'Healthy' and 'unhealthy' clusters remained highly stable over time, suggesting behavioral patterns developed early can become entrenched and resistant to change. Interventions focused on instilling healthy behaviors early are required to provide a strong foundation for behavioral stability throughout life.

Indexed as

DietExerciseHealth BehaviorSedentary BehaviorSleepAdolescentChildChild, PreschoolHumansclusteringhealth behaviorsystematic reviewyoung people

Identifiers

PMID39967026
PMCPMC12137043

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.