Jean-Philippe Chaput
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Jean-Philippe Chaput has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:
- Peter Todd Katzmarzyk
Pennington Biomedical Research Center, Baton Rouge, LA, USA
48 shared publications Mark S. Tremblay
41 shared publicationsAngelo Tremblay
Department of Kinesiology Faculty of Medicine Laval University Quebec City Quebec Canada
33 shared publications- Angelo Tremblay
Department of Kinesiology, Université Laval, Québec, QC G1V 0A6, Canada
33 shared publications - Carol Maher
Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia
32 shared publications - Martyn Standage
University of Bath
32 shared publications
Latest Publications
- 1 November 2026
- Published by Human Kinetics in Pediatric Exercise Science
- Vol. 38 (4) , 394-400
Association Between Meeting 24-Hour Movement Behavior Guidelines and Adiposity Among Portuguese Children
Purpose : To determine the association between meeting 24-hour movement guidelines and markers of adiposity in children, including body mass index, waist circumference, waist-to-height ratio, and percentage body fat. Methods : The sample included 910 children aged 6–10 years from Northern Portugal. Meeting the 24-hour movement guidelines was defined as (1) moderate-to-vigorous physical activity (MVPA): ≥60 minutes per day, (2) sleep: 9 to 11 hours/night, and (3) screen time: ≤2 hours per day. Moderate-to-vigorous physical activity and sleep duration were assessed with wrist-worn accelerometry over 7 days, and screen time was assessed by parental report. Results : A total of 5.4% of the sample met none of the guidelines, whereas 23% met all 3 guidelines. Children who met individual guidelines (MVPA, screen time, and sleep) had significantly lower levels of body mass index z -scores and waist circumference, whereas those who met the MVPA and sleep guidelines had lower waist-to-height ratio. Those who met the MVPA guideline had lower percentage body fat than those who did not. There were significant linear trends (all P < .01) between the number of guidelines met (0, 1, 2, and 3) and lower levels of all markers of adiposity. Conclusions : We found significant associations between meeting 24-hour guidelines and lower levels of adiposity among Portuguese children.
- 1 November 2026
- Published by Human Kinetics in Pediatric Exercise Science
- Vol. 38 (4) , 394-400
Association Between Meeting 24-Hour Movement Behavior Guidelines and Adiposity Among Portuguese Children
Purpose : To determine the association between meeting 24-hour movement guidelines and markers of adiposity in children, including body mass index, waist circumference, waist-to-height ratio, and percentage body fat. Methods : The sample included 910 children aged 6–10 years from Northern Portugal. Meeting the 24-hour movement guidelines was defined as (1) moderate-to-vigorous physical activity (MVPA): ≥60 minutes per day, (2) sleep: 9 to 11 hours/night, and (3) screen time: ≤2 hours per day. Moderate-to-vigorous physical activity and sleep duration were assessed with wrist-worn accelerometry over 7 days, and screen time was assessed by parental report. Results : A total of 5.4% of the sample met none of the guidelines, whereas 23% met all 3 guidelines. Children who met individual guidelines (MVPA, screen time, and sleep) had significantly lower levels of body mass index z -scores and waist circumference, whereas those who met the MVPA and sleep guidelines had lower waist-to-height ratio. Those who met the MVPA guideline had lower percentage body fat than those who did not. There were significant linear trends (all P < .01) between the number of guidelines met (0, 1, 2, and 3) and lower levels of all markers of adiposity. Conclusions : We found significant associations between meeting 24-hour guidelines and lower levels of adiposity among Portuguese children.
- 20 October 2026
- Published by Elsevier in Sleep Health
Sociodemographic correlates of daytime napping in Canadian preschoolers
- 20 October 2026
- Published by Elsevier in Sleep Health
Sociodemographic correlates of daytime napping in Canadian preschoolers
- Open Access
- 13 October 2026
- Published by The College of Family Physicians of Canada in Canadian Family Physician
- Vol. 72 (10) , e299-e301
La nature comme thérapie
- 13 October 2026
- Published by The College of Family Physicians of Canada in Canadian Family Physician
- Vol. 72 (10) , e299-e301
Open AccessLa nature comme thérapie
- 13 October 2026
- Published by The College of Family Physicians of Canada in Canadian Family Physician
- Vol. 72 (10) , 600-602
Nature as medicine
- 13 October 2026
- Published by The College of Family Physicians of Canada in Canadian Family Physician
- Vol. 72 (10) , 600-602
Nature as medicine
- Open Access
- 9 October 2026
- Published by Elsevier in Sleep Medicine
- Vol. 149, 109314
Beyond total sleep time: Associations between sleep characteristics, weight status, and lifestyle behaviors in 6-10-year-old children
- 9 October 2026
- Published by Elsevier in Sleep Medicine
- Vol. 149, 109314
Open AccessBeyond total sleep time: Associations between sleep characteristics, weight status, and lifestyle behaviors in 6-10-year-old children
- Open Access
- 7 October 2026
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
Reallocation of 24-hour movement behavior composition and mortality: exploring effect modification by sleep characteristics
Sleep, sedentary behavior (SB), standing, light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) compose the 24-h day, and reallocating time between these behaviors is associated with premature mortality; however, whether these associations differ by sleep characteristics remains unclear. We examined associations between time reallocations across these device-measured behaviors and all-cause, cardiovascular disease (CVD) and physical activity-related cancer mortality, and potential effect modification by sleep duration and regularity. We conducted a population-based prospective cohort study among UK Biobank participants and applied compositional Cox regression. In 68 995 adults, 2668 deaths occurred over a mean follow-up of 8.0 years. Among participants meeting sleep duration guidelines, reallocating 30-min from sleep to standing, LPA, or MVPA was favorably associated with all-cause mortality, with HRs of 0.85 (95%CI 0.79, 0.92), 0.87 (0.81, 0.94), and 0.80 (0.74, 0.87), respectively. Among short sleepers, reallocating 30-min from sleep to SB, standing, or LPA was adversely associated with CVD mortality, with HRs of 1.18 (1.04, 1.34), 1.20 (1.04, 1.38), and 1.18 (1.03, 1.35), respectively. Beneficial associations of reallocating SB to sleep were evident among both regular sleepers and irregular sleepers. These observational findings suggest that associations between 24-h behavioral reallocations and mortality may vary according to sleep characteristics.
- 7 October 2026
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
Open AccessReallocation of 24-hour movement behavior composition and mortality: exploring effect modification by sleep characteristics
Sleep, sedentary behavior (SB), standing, light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) compose the 24-h day, and reallocating time between these behaviors is associated with premature mortality; however, whether these associations differ by sleep characteristics remains unclear. We examined associations between time reallocations across these device-measured behaviors and all-cause, cardiovascular disease (CVD) and physical activity-related cancer mortality, and potential effect modification by sleep duration and regularity. We conducted a population-based prospective cohort study among UK Biobank participants and applied compositional Cox regression. In 68 995 adults, 2668 deaths occurred over a mean follow-up of 8.0 years. Among participants meeting sleep duration guidelines, reallocating 30-min from sleep to standing, LPA, or MVPA was favorably associated with all-cause mortality, with HRs of 0.85 (95%CI 0.79, 0.92), 0.87 (0.81, 0.94), and 0.80 (0.74, 0.87), respectively. Among short sleepers, reallocating 30-min from sleep to SB, standing, or LPA was adversely associated with CVD mortality, with HRs of 1.18 (1.04, 1.34), 1.20 (1.04, 1.38), and 1.18 (1.03, 1.35), respectively. Beneficial associations of reallocating SB to sleep were evident among both regular sleepers and irregular sleepers. These observational findings suggest that associations between 24-h behavioral reallocations and mortality may vary according to sleep characteristics.
- 6 October 2026
- Published by Elsevier in Sleep Health
What does sleep regularity add to sleep duration? Priorities for evidence and prevention
- 6 October 2026
- Published by Elsevier in Sleep Health
What does sleep regularity add to sleep duration? Priorities for evidence and prevention
- 28 September 2026
- Published by Wolters Kluwer Health in Medicine & Science in Sports & Exercise
Timing of Device-Measured Physical Activity and Sleep in Relation to Meeting Physical Activity Guidelines in U.S. Adults
Introduction: Whether the timing of moderate-to-vigorous physical activity (MVPA) and sleep is independently and jointly associated with meeting physical activity guidelines in adults remains unclear. Methods: We cross-sectionally analyzed 2003–2006 National Health and Nutrition Examination Survey (NHANES) data. Non-pregnant adults aged ≥20 years with valid accelerometer data, ≥5 min/day of MVPA, and no mobility limitation were included (n=3,153). Participants were classified as: morning (06:00–09:59), midday (10:00–13:59), afternoon (14:00–17:59), evening (18:00–21:59), or overnight (22:00–05:59) MVPA groups if ≥50% of average daily MVPA occurred in that window; or as mixed if otherwise. Subsamples with valid sleep timing proxy data (n=2,370) were classified as: irregular sleepers if participants had a standard deviation of the sleep midpoint >1 h; otherwise, regular sleepers were further categorized by mean sleep midpoint as early (22:00–01:59), mid (02:00–03:59), or late (04:00–07:59). Survey-weighted modified Poisson models were used to estimate adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) for meeting PA guidelines (i.e., ≥150 min/week of moderate-equivalent activity), controlling for sociodemographic, behavioral, and health-related covariates. Results: Morning MVPA (PR = 1.48, 95% CI = 1.31–1.66) and early sleep (1.14, 1.01–1.28) were each associated with a higher prevalence of meeting PA guidelines compared to mixed MVPA and irregular sleep, respectively. Similar patterns were observed for joint groups of morning MVPA with early sleep (1.57, 1.14–2.16), morning MVPA with mid sleep (1.62, 1.34–1.96), and midday MVPA with mid sleep (1.44, 1.21–1.73) compared with mixed MVPA with irregular sleep. Conclusions: Accumulating MVPA predominantly in the morning and/or maintaining earlier sleep timing may inform timing-based strategies to support population-level adherence to PA guidelines.
- 28 September 2026
- Published by Wolters Kluwer Health in Medicine & Science in Sports & Exercise
Timing of Device-Measured Physical Activity and Sleep in Relation to Meeting Physical Activity Guidelines in U.S. Adults
Introduction: Whether the timing of moderate-to-vigorous physical activity (MVPA) and sleep is independently and jointly associated with meeting physical activity guidelines in adults remains unclear. Methods: We cross-sectionally analyzed 2003–2006 National Health and Nutrition Examination Survey (NHANES) data. Non-pregnant adults aged ≥20 years with valid accelerometer data, ≥5 min/day of MVPA, and no mobility limitation were included (n=3,153). Participants were classified as: morning (06:00–09:59), midday (10:00–13:59), afternoon (14:00–17:59), evening (18:00–21:59), or overnight (22:00–05:59) MVPA groups if ≥50% of average daily MVPA occurred in that window; or as mixed if otherwise. Subsamples with valid sleep timing proxy data (n=2,370) were classified as: irregular sleepers if participants had a standard deviation of the sleep midpoint >1 h; otherwise, regular sleepers were further categorized by mean sleep midpoint as early (22:00–01:59), mid (02:00–03:59), or late (04:00–07:59). Survey-weighted modified Poisson models were used to estimate adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) for meeting PA guidelines (i.e., ≥150 min/week of moderate-equivalent activity), controlling for sociodemographic, behavioral, and health-related covariates. Results: Morning MVPA (PR = 1.48, 95% CI = 1.31–1.66) and early sleep (1.14, 1.01–1.28) were each associated with a higher prevalence of meeting PA guidelines compared to mixed MVPA and irregular sleep, respectively. Similar patterns were observed for joint groups of morning MVPA with early sleep (1.57, 1.14–2.16), morning MVPA with mid sleep (1.62, 1.34–1.96), and midday MVPA with mid sleep (1.44, 1.21–1.73) compared with mixed MVPA with irregular sleep. Conclusions: Accumulating MVPA predominantly in the morning and/or maintaining earlier sleep timing may inform timing-based strategies to support population-level adherence to PA guidelines.