Dr. Chaput is a Senior Scientist with the Healthy Active Living and Obesity Research Group at the CHEO Research Institute and a Professor of Pediatrics at the University of Ottawa. His research focuses on obesity prevention, health promotion, and lifestyle behaviour modification (e.g., improving sleep, increasing physical activity, reducing screen time, and eating better). Dr. Chaput has published more than 400 peer-reviewed scientific articles and is highly cited. He serves on many journal editorial boards and advisory committees, has contributed to a large number of conferences around the world, and received several awards for his research. Outside work he likes to travel, run in the forest, and play with his daughter.
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Research Projects
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Physical activity and recreational screen time change among adolescents in Canada: Examining the impact of COVID-19 in worsening inequity
28/08/2023
This paper provides a prospective longitudinal analysis assessing social demographic factors related to changes in MVPA and screen use behaviours among adolescents during the first full school year after the emergence of COVID-19. Sex/gender, race/ethnicity, and SES were related to differences in MVPA or screen use behaviours, sex/gender discrepancies in MVPA were further modified by racial/ethnic differences. Unsurprisingly (Clemens et al., 2020; Golberstein et al., 2020; Armitage and Nellums, 2020), the results seem to suggest that for many populations, pre-existing inequitable gaps have widened.
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Economic burden of low muscle strength in Canadian adults.
04/08/2023
Abstract The economic cost associated with low muscle strength in Canadian adults is unknown. The total annual economic burden of low muscle strength in Canadian adults represents 2.2% of the overall burden of illness costs in 2021. We estimated that $546 million per year would be saved if the prevalence of low handgrip strength was reduced by 10%.
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Sleep duration change among adolescents in Canada: Examining the impact of COVID-19 in worsening inequity.
04/08/2023
The purpose of this analysis was to assess which sub-population (based on interactions of race/ethnicity, sex/gender, socioeconomic indicators, and urbanicity) experienced larger change in sleep behaviours from 2019 to 2020 (before the onset of the pandemic) to the 2020–2021 school year (during the 2nd and 3rd waves of the COVID-19 pandemic in Canada (Wu et al., 2021)) in a prospective cohort of adolescents living in Canada. We expected that the COVID-19 pandemic would worsen inequities so the sleep duration gains would be less seen in racialized adolescents, girls, and those coming from lower SES backgrounds.
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Heavy social media use and psychological distress among adolescents: the moderating role of sex, age, and parental support
04/07/2023
The current study is a secondary data analysis of the 2019 Ontario Student Drug Use and Health Survey (OSDUHS) (46). This representative cross-sectional school-based survey included Ontarians in grades 7–12 from English and French public and Catholic schools (n = 14,142). Two hundred sixty-three schools from 47 public and Catholic school boards participated in this survey. Ethics approval was obtained from the Research Ethics Boards of the Center for Addiction and Mental Health (CAMH; 029/2016), York University (e2014-099), and 47 public and Catholic school boards’ research review committees. Participation in the survey required active parental written consent and student assent. The survey was completed anonymously during school time.
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Exploring New Tools for Risk Classification among Adults with Several Degrees of Obesity
30/06/2023
The one-size-fits-all approach should be avoided when programs to treat obesity are offered. The identification of subgroups with distinct risk profiles is an important way to improve clinical practice [7,10]. It is essential to make it more feasible to offer access to treatment programs to those with higher health risks [3]. Hence, the main objective of this study is to assess the prevalence of traditional and recently developed risk factors by assessing tools such as the triglyceride glucose (TyG) index and related indexes, the continuous metabolic severity score (MetSs), and the atherogenic index of plasma (AIP), which are related to different obesity categories, in a sample of Brazilian adults.