Evidence map›Paper›PMID 24981243›Full record

SynthesisSports medicine (Auckland, N.Z.)2014

A systematic literature review with meta-analyses of within- and between-day differences in objectively measured physical activity in school-aged children.

Hannah L Brooke, Kirsten Corder, Andrew J Atkin, Esther M F van Sluijs

Open access · hybridAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 5 pooled it
12.2field-weighted citation impact, top 1% of its field
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

70 citing papers in PubMed, 5 syntheses or guidelines pooled it, 175 citations in OpenAlex.

  1. Pooled it
  2. Physical activity and sedentary time of youth in structured settings: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2020
    Pooled it
  3. Becoming a parent: A systematic review and meta-analysis of changes in BMI, diet, and physical activity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
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10 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Hannah L BrookeUKCRC Centre for Diet and Activity Research (CEDAR) and MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Kirsten Corder
Andrew J Atkin
Esther M F van Sluijs
University of Cambridge · GBMRC Epidemiology Unit · GB

Funding

British Heart FoundationMedical Research Council MC_UP_1001/2Medical Research Council MC_UU_12015/7Medical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

Abstract

backgroundTargeting specific time periods of the day or week may enhance physical activity (PA) interventions in youth. The most prudent time segments to target are currently unclear.

objectivesTo systematically review the literature describing differences in young people's objectively measured PA on weekdays vs. weekends, in school vs. out of school, weekends vs. out of school and lesson time vs. break time.

methodsElectronic databases were searched for English-language, cross-sectional studies of school-aged children (4-18 years) reporting time-segment-specific accelerometer-measured PA from 01/1990 to 01/2013. We meta-analysed standardised mean differences (SMD) between time segments for mean accelerometer counts per minute (TPA) and minutes in moderate-to-vigorous PA (MVPA). SMD is reported in units of standard deviation; 0.2, 0.5 and 0.8 represent small, moderate and large effects. Heterogeneity was explored using meta-regression (potential effect modifiers: age, sex and study setting).

resultsOf the 54 included studies, 37 were eligible for meta-analyses. Children were more active on weekdays than weekends [pooled SMD (95 % CI) TPA 0.14 (0.08; 0.20), MVPA 0.42 (0.35; 0.49)]. On school days, TPA was lower in school than out of school; however, marginally more MVPA was accumulated in school [TPA -0.24 (-0.40; -0.08), MVPA 0.17 (-0.03; 0.38)]. TPA was slightly lower on weekends than out of school on school days, but a greater absolute volume of MVPA was performed on weekends [TPA -0.10 (-0.19; -0.01), MVPA 1.02 (0.82; 1.23)]. Heterogeneity between studies was high (I (2) 73.3-96.3 %), with 20.3-53.1 % of variance between studies attributable to potential moderating factors.

conclusionsSchool-aged children are more active on weekdays than weekend days. The outcome measure influences the conclusions for other comparisons. Findings support the tailoring of intervention strategies to specific time periods.

Indexed as

AccelerometryAdolescentChildChild, PreschoolExerciseHumansTime Factors

Identifiers

PMID24981243
PMCPMC4171592
OpenAlexW2060047930

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.