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

• Published in: PloS one 2018-01, Vol.13 (1), p.e0190405-e0190405
• Main Authors: Laxer, Rachel E, Cooke, Martin, Dubin, Joel A, Brownson, Ross C, Chaurasia, Ashok, Leatherdale, Scott T
• Format: Article
• Language: English
• Subjects: Adolescents; Alcohol; Alcohol use; Athletes; Behavior; Biology and Life Sciences; Body mass; Body mass index; Body size; Body weight; Child development; Children & youth; Chronic illnesses; Clusters; Confidence intervals; Evaluation; Exercise; Health aspects; Health behavior; Health promotion; Medical screening; Medicine and Health Sciences; Obesity; Overweight; Prevention programs; Public health; Risk taking; Schools; Social Sciences; Students; Substance use; Teenagers; Trajectories; Truancy
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0190405

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. 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. 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). 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.