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Record W4403286004 · doi:10.1186/s44167-024-00064-6

24-hour movement behavior adherence and associations with health outcomes: an umbrella review

2024· review· en· W4403286004 on OpenAlexafffund
Chelsea L. Kracht, Sarah Burkart, Claire I. Groves, Guilherme Moraes Balbim, Christopher D. Pfledderer, Carah D. Porter, Christine W. St. Laurent, Emily Johnson, Denver M. Y. Brown

Bibliographic record

VenueJournal of Activity Sedentary and Sleep Behaviors · 2024
Typereview
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of General Medical SciencesCanadian Institutes of Health ResearchNational Institutes of HealthMichael Smith Health Research BC
KeywordsMovement (music)PsychologyGerontologyMedicineArt

Abstract

fetched live from OpenAlex

Background: Physical activity, sedentary behavior, and sleep, collectively known as the 24-hour movement behaviors, demonstrate individual and joint benefits on physical and mental health. Examination of these behaviors has expanded beyond guideline adherence to reviews of isotemporal substitution models (ISM) and compositional data analysis (CoDA). This umbrella review sought to review existing systematic reviews to (1) characterize the breadth and scope, (2) examine prevalence estimates for 24-hour movement guideline adherence, and (3) examine the relationship between these behaviors with health outcomes based on various approaches. Methods: Eight databases and multiple supplementary strategies were used to identify systematic reviews, meta-analyses and pooled analyses that included two or more of the three 24-hour movement behaviors and a multi-behavior assessment approach. Overall review characteristics, movement behavior definitions, approaches, and health outcomes assessed were extracted, and methodological quality was assessed using the AMSTAR2 tool. Review characteristics (Aim 1), guideline prevalence estimates (Aim 2), and associations with health outcomes (Aim 3) were examined. Findings: Thirty-two reviews (20 systematic reviews, 10 meta-analyses, and 2 pooled analyses) were included. Reviews captured the entire lifespan, global regions, and several physical and mental health outcomes. Individual and total guideline adherence waned from preschool to adolescence, but reviews reported similar prevalence estimates and ranges (i.e., within 10%). Common approaches included ISM and CoDA, evaluating 24-hour movement behavior's interactive associations with health outcomes, guideline adherence, and profile-based analysis. Despite heterogeneous approaches, reviews found consistent evidence for beneficial associations between meeting all three guidelines and high amount of physical activity on physical and mental health outcomes, but varied assessment of sedentary behavior or sleep. Most reviews were rated as low or critically low quality. Conclusions: The breadth and scope of current reviews on 24-hour movement behaviors was wide and varied in this umbrella review, including all ages and across the globe. Prevalence estimates among populations beyond children need to be synthesized. Amongst the variety of definitions and approaches, reviews found benefit from achieving healthy amounts of all three behaviors. Longitudinal multi-behavior original research studies with rigorous assessment of sleep and sedentary behavior may help improve future systematic reviews of these various approaches. Supplementary Information: The online version contains supplementary material available at 10.1186/s44167-024-00064-6.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.080
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.080
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.009
Bibliometrics0.0190.017
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.406
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2024
Admission routes2
Has abstractyes

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