Evidence map›Paper›PMID 28109270›Full record

ArticleBMC public health2017

Clustering of risk-related modifiable behaviours and their association with overweight and obesity among a large sample of youth in the COMPASS study.

Rachel E Laxer, Ross C Brownson, Joel A Dubin, Martin Cooke, Ashok Chaurasia, Scott T Leatherdale

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Activity-related behavior typologies in youth: a systematic review.The international journal of behavioral nutrition and physical activity · 2019
    Pooled it
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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

6 authors at 2 institutions in 2 countries.

Rachel E LaxerSchool of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L3G1, Canada. rlaxer@uwaterloo.ca.
Ross C BrownsonBrown School and School of Medicine, Washington University in St. Louis, Campus Box 1196, One Brookings Drive, St. Louis, MO, 63130-4899, USA.
Joel A DubinSchool of Public Health and Health Systems, Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L3G1, Canada.
Martin CookeSchool of Public Health and Health Systems, Department of Sociology & Legal Studies, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L3G1, Canada.
Ashok ChaurasiaSchool of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L3G1, Canada.
Scott T LeatherdaleSchool of Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L3G1, Canada.
University of Waterloo · CAWashington University in St. Louis · US

Funding

CIHR MOP-114875
6 · The paper itself

Abstract

backgroundCanadian youth exhibit a number of risky behaviours, some of which are associated with overweight and obesity. The purpose of this study was to examine the prevalence of 15 modifiable risk behaviours in a large sample of Canadian youth, to identify underlying subgroups based on patterns of health behaviours, and to examine the association between identified subgroups and overweight/obesity.

methodsData from 18,587 grades 9-12 students in Year 1 (2012-13) of the COMPASS study and latent class analysis were used to identify patterns and clustering among 15 health behaviours (e.g., physical inactivity, sedentary behaviour, unhealthy eating, substance use). A logistic regression model examined the associations between these clusters and overweight/obesity status.

resultsFour distinct classes were identified: traditional school athletes, inactive screenagers, health conscious, and moderately active substance users. Each behavioural cluster demonstrated a distinct pattern of behaviours, some with a greater number of risk factors than others. Traditional school athletes (odds ratio (OR) 1.15, 95% CI 1.03-1.29), inactive screenagers (OR 1.33; 1.19-1.48), and moderately active substance users (OR 1.27; 1.14-1.43) were all significantly more likely to be overweight/obese compared to the health conscious group.

conclusionsFour distinct subpopulations of youth were identified based on their patterns of health and risk behaviours. The three clusters demonstrating poorer health behaviour were all at an increased risk of being overweight/obese compared to their somewhat healthier peers. Obesity-related public health interventions and health promotion efforts might be more effective if consideration is given to population segments with certain behavioural patterns, targeting subgroups at greatest risk of overweight or obesity.

Indexed as

Health BehaviorRisk-TakingAdolescentCanadaCluster AnalysisCross-Sectional StudiesFeeding BehaviorFemaleHumansLogistic ModelsMaleOdds RatioOverweightPediatric ObesityPrevalenceRisk FactorsAdolescentBehaviour patternsDietHealth promotionLatent class analysisObesityPhysical activityRisk-taking

Identifiers

PMID28109270
PMCPMC5251243
OpenAlexW2578086329

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.