Evidence map›Paper›PMID 33446174›Full record

SynthesisBMC public health2021

Clustering of health-related behaviours within children aged 11-16: a systematic review.

Victoria Whitaker, Melissa Oldham, Jennifer Boyd, Hannah Fairbrother, Penny Curtis, Petra Meier, John Holmes

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

7 authors.

Victoria WhitakerHealth Sciences School, University of Sheffield, Sheffield, UK. v.whitaker@sheffield.ac.uk.ORCID 0000-0001-7883-3852
Melissa OldhamSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Jennifer BoydSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Hannah FairbrotherHealth Sciences School, University of Sheffield, Sheffield, UK.
Penny CurtisHealth Sciences School, University of Sheffield, Sheffield, UK.
Petra MeierSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
John HolmesSchool of Health and Related Research, University of Sheffield, Sheffield, UK.

Funding

Wellcome Trust 208090/Z/17/Z
6 · The paper itself

Abstract

objectiveWe aimed to systematically review and synthesise evidence on the clustering of a broad range of health-related behaviours amongst 11-16 year olds.

methodA literature search was conducted in September 2019. Studies were included if they used cluster analysis, latent class analysis, prevalence odds ratios, principal component analysis or factor analysis, and considered at least three health-related behaviours of interest among 11-16 year olds in high-income countries. Health-related behaviours of interest were substance use (alcohol, cigarettes and other drug use) and other behavioural risk indicators (diet, physical activity, gambling and sexual activity).

resultsThe review identified 41 studies, which reported 198 clusters of health-related behaviours of interest. The behaviours of interest reported within clusters were used to define eight behavioural archetypes. Some included studies only explored substance use, while others considered substance use and/or other health-related behaviours. Consequently, three archetypes were comprised by clusters reporting substance use behaviours alone. The archetypes were: (1) Poly-Substance Users, (2) Single Substance Users, (3) Substance Abstainers, (4) Substance Users with No/Low Behavioural Risk Indicators, (5) Substance Abstainers with Behavioural Risk Indicators, (6) Complex Configurations, (7) Overall Unhealthy and (8) Overall Healthy.

conclusionStudies of youth health behavioural clustering typically find both a 'healthy' cluster and an 'unhealthy' cluster. Unhealthy clusters are often characterised by poly-substance use. Our approach to synthesising cluster analyses may offer a means of navigating the heterogeneity of method, measures and behaviours of interest in this literature.

Indexed as

ExerciseHealth BehaviorAdolescentChildCluster AnalysisDietHumansRisk FactorsChildrenCluster analysisHealth behavioursMultiple risk factorsSystematic reviewYouth

Identifiers

PMID33446174
PMCPMC7807795

What OpenQuestion holds

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LicenceCC BY
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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.