Zack Perala
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Zack Perala has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Guy Faulkner
School of Kinesiology, University of British Columbia, Vancouver, Canada
1 shared publication - Jean-Philippe Chaput
Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
1 shared publication Karen Patte
Department of Health Sciences, Brock University, St. Catharines, Ontario, Canada
1 shared publication- Roman Pabayo
School of Public Health, University of Alberta, Edmonton, Alberta, Canada
1 shared publication Scott Leatherdale
School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
1 shared publication- Stephen Hunter
School of Public Health, University of Alberta, Edmonton, Canada
1 shared publication
Latest Publications
- 18 February 2025
- Published by BMJ in Journal of Epidemiology and Community Health
- Vol. 79 (7) , 544-550
Income inequality and adherence to 24-hour movement guideline recommendations among adolescents: a multilevel growth curve analysis using longitudinal data from three waves of the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking (COMPASS) study (2016–2019)
Background There is a paucity of literature regarding income inequality and adolescent movement behaviours (physical activity, sedentary behaviours, sleep). This study examined whether income inequality was associated with meeting Canadian 24-Hour Movement Guidelines (24HMG) recommendations among adolescents over time. Methods Longitudinal data from adolescents (n=9299) in the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking study (2016–2017 to 2018–2019) were linked with income data at the census division (CD) level from the 2016 Canadian Census. Adolescents (aged 13–19 years) reported on their physical activity, sleep duration and screen time via questionnaire. Gini coefficients were calculated at the CD level using after-tax household income from the 2016 Canadian Census. Multilevel logistic regression analyses were performed to test the association between income inequality and meeting several 24HMG recommendations. Results The joint effect (income inequality*time) was significant for meeting the sleep duration recommendation (2017–2018 OR=0.83, 95% CI 0.74, 0.92; 2018–2019 OR=0.77, 95% CI 0.70, 0.86; p0.05) for screen time or physical activity independently of sleep. Conclusion Adolescents attending schools in areas with greater income inequality may be at higher risk for inadequate sleep and combined short sleep and physical inactivity.
- 18 February 2025
- Published by BMJ in Journal of Epidemiology and Community Health
- Vol. 79 (7) , 544-550
Income inequality and adherence to 24-hour movement guideline recommendations among adolescents: a multilevel growth curve analysis using longitudinal data from three waves of the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking (COMPASS) study (2016–2019)
Background There is a paucity of literature regarding income inequality and adolescent movement behaviours (physical activity, sedentary behaviours, sleep). This study examined whether income inequality was associated with meeting Canadian 24-Hour Movement Guidelines (24HMG) recommendations among adolescents over time. Methods Longitudinal data from adolescents (n=9299) in the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking study (2016–2017 to 2018–2019) were linked with income data at the census division (CD) level from the 2016 Canadian Census. Adolescents (aged 13–19 years) reported on their physical activity, sleep duration and screen time via questionnaire. Gini coefficients were calculated at the CD level using after-tax household income from the 2016 Canadian Census. Multilevel logistic regression analyses were performed to test the association between income inequality and meeting several 24HMG recommendations. Results The joint effect (income inequality*time) was significant for meeting the sleep duration recommendation (2017–2018 OR=0.83, 95% CI 0.74, 0.92; 2018–2019 OR=0.77, 95% CI 0.70, 0.86; p0.05) for screen time or physical activity independently of sleep. Conclusion Adolescents attending schools in areas with greater income inequality may be at higher risk for inadequate sleep and combined short sleep and physical inactivity.