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Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada
BACKGROUND: 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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749779/ https://www.ncbi.nlm.nih.gov/pubmed/29293654 http://dx.doi.org/10.1371/journal.pone.0190405 |
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author | Laxer, Rachel E. Cooke, Martin Dubin, Joel A. Brownson, Ross C. Chaurasia, Ashok Leatherdale, Scott T. |
author_facet | Laxer, Rachel E. Cooke, Martin Dubin, Joel A. Brownson, Ross C. Chaurasia, Ashok Leatherdale, Scott T. |
author_sort | Laxer, Rachel E. |
collection | PubMed |
description | BACKGROUND: 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/m(2), [confidence interval (CI): 0.03–0.50]), Inactive High Screen-User (β = 0.348 kg/m(2), CI: 0.11–0.59) and Moderately Active Substance Users (β = 0.759 kg/m(2), 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/m(2), (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. |
format | Online Article Text |
id | pubmed-5749779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57497792018-01-26 Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada Laxer, Rachel E. Cooke, Martin Dubin, Joel A. Brownson, Ross C. Chaurasia, Ashok Leatherdale, Scott T. PLoS One Research Article BACKGROUND: 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/m(2), [confidence interval (CI): 0.03–0.50]), Inactive High Screen-User (β = 0.348 kg/m(2), CI: 0.11–0.59) and Moderately Active Substance Users (β = 0.759 kg/m(2), 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/m(2), (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. Public Library of Science 2018-01-02 /pmc/articles/PMC5749779/ /pubmed/29293654 http://dx.doi.org/10.1371/journal.pone.0190405 Text en © 2018 Laxer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Laxer, Rachel E. Cooke, Martin Dubin, Joel A. Brownson, Ross C. Chaurasia, Ashok Leatherdale, Scott T. Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada |
title | Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada |
title_full | Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada |
title_fullStr | Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada |
title_full_unstemmed | Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada |
title_short | Behavioural patterns only predict concurrent BMI status and not BMI trajectories in a sample of youth in Ontario, Canada |
title_sort | behavioural patterns only predict concurrent bmi status and not bmi trajectories in a sample of youth in ontario, canada |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749779/ https://www.ncbi.nlm.nih.gov/pubmed/29293654 http://dx.doi.org/10.1371/journal.pone.0190405 |
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