Evidence map›Paper›PMID 29293654›Full record

ArticlePloS one2018

Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada.

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

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. 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, Waterloo ON Canada.ORCID 0000-0002-9043-5264
Martin CookeSchool of Public Health and Health Systems, University of Waterloo, Waterloo ON Canada.
Joel A DubinSchool of Public Health and Health Systems, University of Waterloo, Waterloo ON Canada.
Ross C BrownsonBrown School and School of Medicine, Washington University in St. Louis, St. Louis MO, United States of America.
Ashok ChaurasiaSchool of Public Health and Health Systems, University of Waterloo, Waterloo ON Canada.
Scott T LeatherdaleSchool of Public Health and Health Systems, University of Waterloo, Waterloo ON Canada.
University of Waterloo · CAWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYouth are engaging in multiple risky behaviours, increasing their risk of overweight, obesity, and related chronic diseases. The objective of this study was to examine the effect of engaging in unique clusters of unhealthy behaviours on youths' body mass index (BMI) trajectories.

methodsThis study used a linked-longitudinal sample of Grades 9 and 10 students (13 to 17 years of age) participating in the COMPASS host study. Students reported obesity-related and other risky behaviours at baseline and height and weight (to derive BMI) at baseline (2012/2013) and annually for 2 years post-baseline (2013/14 and 2014/15). Students were grouped into behavioural clusters based on response probabilities. Linear mixed effects models, using BMI as a continuous outcome measure, were used to examine the effect of engaging in clusters of risky behaviours on BMI trajectories.

resultsThere were significant differences in BMI of the four behavioural clusters at baseline that remained consistent over time. Higher BMI values were found among youth classified at baseline to be Typical High School Athletes (β = 0.232 kg/m2, [confidence interval (CI): 0.03-0.50]), Inactive High Screen-User (β = 0.348 kg/m2, CI: 0.11-0.59) and Moderately Active Substance Users (β = 0.759 kg/m2, CI: 0.36-1.15) compared to students classified as Health Conscious. Despite these baseline differences, BMI appeared to increase across all behavioural clusters annually by the same amount (β = 0.6097 kg/m2, (CI) = 0.57-0.64).

conclusionsAlthough annual increases in BMI did not differ by behavioural clusters, membership in a particular behavioural cluster was associated with baseline BMI, and these differences remained consistent over time. Results indicate that intervening and modifying unhealthy behaviours earlier might have a greater impact than during adolescence. Health promotion strategies targeting the highest risk youth as they enter secondary school might be promising means to prevent or delay the onset of obesity.

Indexed as

Adolescent BehaviorBody Mass IndexAdolescentFemaleHumansLongitudinal StudiesMaleOntarioProspective StudiesRegression Analysis

Identifiers

PMID29293654
PMCPMC5749779
OpenAlexW2781920217

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.