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

dc.contributor.authorLaxer, Rachel E.
dc.contributor.authorCooke, Martin
dc.contributor.authorDubin, Joel A.
dc.contributor.authorBrownson, Ross C.
dc.contributor.authorChaurasia, Ashok
dc.contributor.authorLeatherdale, Scott T.
dc.date.accessioned2026-05-14T19:55:21Z
dc.date.available2026-05-14T19:55:21Z
dc.date.issued2018-01-02
dc.description© 2018 Laxer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractBackground Youth 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. Methods This 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. Results There 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). Conclusions Although 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.
dc.description.sponsorshipCanadian Institutes of Health Research (CIHR) Institute of Nutrition, Metabolism and Diabetes (INMD), "Obesity - Interventions to Prevent or Treat" priority funding awards OOP-110788 || CIHR Institute of Population and Public Health (IPPH), operating grant MOP-114875.
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0190405
dc.identifier.urihttps://hdl.handle.net/10012/23327
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE; 13(1); e0190405
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbody mass index
dc.subjectobesity
dc.subjectschools
dc.subjectbehavioral and social aspects of health
dc.subjectoverweight
dc.subjectbody weight
dc.subjectphysical activity
dc.subjectmedical risk factors
dc.titleBehavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada
dc.typeArticle
dcterms.bibliographicCitationLaxer RE, Cooke M, Dubin JA, Brownson RC, Chaurasia A, Leatherdale ST (2018) Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada. PLoS ONE 13(1): e0190405. https://doi.org/10.1371/journal.pone.0190405
uws.contributor.affiliation1Faculty of Health
uws.contributor.affiliation2School of Public Health Sciences
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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