Cited by 414Physical Activity and HealthObesity, Physical Activity, DietSleep and related disorders

The DOI matches its Crossref record; 39 of the 40 references it cites were found in a registry or an index.

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

Open access

Carson, Valerie, Tremblay, Mark S., Chaput, Jean-Philippe, Chastin, Sebastien F.M.·2016·Applied Physiology, Nutrition, and Metabolism

DOI 10.1139/apnm-2016-0026

Open this paper in CoChat — free account

Abstract

The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6–17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p < 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p < 0.04) and time spent in MVPA or sleep was negatively associated (p < 0.02) with obesity risk markers. Similarly, LPA was positively associated (p < 0.005) and sleep was negatively associated (p < 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p < 0.001) and time spent in MVPA (p < 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations.

Integrity signals

Registry

Crossref · 10.1139/apnm-2016-0026

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The Strengths and Difficulties Questionnaire: A research note
Goodman, R. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01545.x · Cited by 14,908 · cited 2×
“The Strengths and Difficulties Questionnaire: a research note.”
Method
Development of a WHO growth reference for school-aged children and adolescents
de Onis, M. (2007) · Bulletin of the World Health Organization · doi:10.2471/blt.07.043497 · Cited by 8,826 · cited 2×
“For BMI z score, subgroups included underweight, normal weight, overweight, and obese groups based on WHO growth standards (de Onis et al. 2007).”
Method
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Systematic review of the health benefits of physical activity and fitness in school-aged children and youth
Janssen, I., & LeBlanc, A. G. (2010) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-7-40 · Cited by 4,829 · cited 2×
“…wealth of evidence has shown that 60 min of daily MVPA provides important benefits for body composition, cardiovascular and metabolic health, musculoskeletal health, mental health, and academic achievement among children and youth (Janssen and LeBlanc 2010; Poitras et al. 2016; Strong et al. 2005).”
Background
Evidence Based Physical Activity for School-age Youth
Strong, W. B., Malina, R. M., Blimkie, C. J. R., Daniels, S. R., Dishman, R. K., Gutin, B., Hergenroeder, A. C., Must, A., Nixon, P. A., Pivarnik, J. M., et al. (2005) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2005.01.055 · Cited by 4,222
The Statistical Analysis of Compositional Data
Aitchison, J. (1982) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1982.tb01195.x · Cited by 3,457
Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth
Poitras, V. J., Gray, C. E., Borghese, M. M., Carson, V., Chaput, J.-P., Janssen, I., Katzmarzyk, P. T., Pate, R. R., Connor Gorber, S., Kho, M. E., et al. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0663 · Cited by 2,217
Self-citation
Systematic review of sedentary behaviour and health indicators in school-aged children and youth.
Tremblay, M. S., LeBlanc, A. G., Kho, M. E., Saunders, T. J., Larouche, R., Colley, R. C., Goldfield, G., & Gorber, S. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-98 · Cited by 2,085
Self-citation
Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update
Carson, V., Hunter, S., Kuzik, N., Gray, C. E., Poitras, V. J., Chaput, J.-P., Saunders, T. J., Katzmarzyk, P. T., Okely, A. D., Connor Gorber, S., et al. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0630 · Cited by 1,380 · cited 4×
“In contrast, primarily null associations have been observed between objectively measured total sedentary behaviour and cardio-metabolic health in children and youth (Carson et al. 2016).”
BackgroundInfluentialSelf-citation
Physical activity change during adolescence: a systematic review and a pooled analysis
Dumith, S. C., Gigante, D. P., Domingues, M. R., & Kohl, H. W. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyq272 · Cited by 1,275

Flagged first, then by citations

Show all 40 references

1 of the 40 references couldn’t be matched to a known paper.

Research works printed but not linked: 8

Bryan S., 2010, Health Rep., 21, 71
Colley R., 2010, Health Rep., 21, 63
Colley R.C., 2011, Health Rep., 22, 15
Day B., 2007, Health Rep., 18, 37
Pedisic Z., 2014, Kinesiology, 46, 135
Puyau M.R., 2004, Med. Sci. Sports Exerc., 36, 1625
Rao J.N.K., 1992, Surv. Methodol., 18, 209
Stephens, T., and Craig, C.L. 1985. Fitness and activity measurement in the 1981 Canada Fitness Survey. In Assessing Physical Fitness and Activity Patterns in General Population Surveys. Edited by T. Drury. 1989. Department of Health and Human Services, Public Health Service, Center for Disease Control, National Center for Health Statistics. Hyattsville, Md., USA. publ. No. (PHS). pp. 89–1253.

Sorted by citations

Items 101–200 of 414

A systematic review of compositional analysis studies examining the associations between sleep, sedentary behaviour, and physical activity with health indicators in early childhood
Zahran, S., Visser, C., Ross‐White, A., & Janssen, I. (2023) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-022-00012-2 · Cited by 33
Evidence supporting a combined movement behavior approach for children and youth's mental health – A scoping review and environmental scan
de Lannoy, L., Barbeau, K., Vanderloo, L. M., Goldfield, G. S., Lang, J. J., MacLeod, O., & Tremblay, M. S. (2023) · Mental health and physical activity · doi:10.1016/j.mhpa.2023.100511 · Cited by 35
Self-citation
Mapping the intellectual and conceptual structure of research on CoDa in the ‘Social Sciences’ scientific domain. A bibliometric overview
Martínez-García, A., Horrach-Rosselló, P., & Mulet-Forteza, C. (2023) · Journal of Geochemical Exploration · doi:10.1016/j.gexplo.2023.107273 · Cited by 33
One size does not fit all: identifying clusters of physical activity, screen time, and sleep behaviour co-development from childhood to adolescence
Gallant, F., Thibault, V., Hébert, J. J., Gunnell, K. E., & Bélanger, M. F. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00964-1 · Cited by 34
“Considering that the studies describing adherence to the recommendations found in the 24 h-movement guidelines are mainly crosssectional studies [37, 40, 53], this study advances our understanding of the development of behaviours during adolescence.”
Background
Climate change, 24-hour movement behaviors, and health: a mini umbrella review
Zisis, E., Hakimi, S., & Lee, E. (2021) · Global Health Research and Policy · doi:10.1186/s41256-021-00198-z · Cited by 35
Differences in physical activity time-use composition associated with cardiometabolic risks
McGregor, D. E., Palarea‐Albaladejo, J., Dall, P., Stamatakis, E. A., & CHASTIN, S. F. M. (2018) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2018.11.006 · Cited by 31
“…which report that some cardiometabolic outcomes are jointly associated not just with time spent in MVPA or in SB but also with the composition of daily time-use in all movement behaviors (Chastin et al., 2015; Carson et al., 2016; Carson et al., 2017; Dumuid et al., 2016; Ekelund et al., 2016b).”
BackgroundSelf-citation
Impact of green space and built environment on metabolic syndrome: A systematic review with meta-analysis
Patwary, M. M., Sakhvidi, M. J. Z., Ashraf, S., Dadvand, P., Browning, M. H. E. M., Alam, M. A., Bell, M. L., James, P., & Astell‐Burt, T. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.170977 · Cited by 29
“Individuals having better access to recreational facilities tend to be more active (Cohen et al., 2006; Dengel et al., 2009; Gordon-Larsen et al., 2006; Jago et al., 2016), and prolonged sedentary time is associated with poor metabolic health (Carson et al., 2016).”
Background
24-Hour movement behaviors among visually impaired US children and adolescents
Hou, M., Herold, F., Healy, S., Haegele, J. A., Block, M. E., Ludyga, S., Schuch, F. B., Ng, J. L., Gerber, M., Hossain, M. M., et al. (2023) · Mental health and physical activity · doi:10.1016/j.mhpa.2023.100545 · Cited by 30
Association of cardiorespiratory fitness levels with dietary habits and lifestyle factors in schoolchildren
Tambalis, K. D., Panagiotakos, D. B., Psarra, G., & Sidossis, L. S. (2018) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2018-0407 · Cited by 29
Evidence for disruption of diurnal salivary cortisol rhythm in childhood obesity: relationships with anthropometry, puberty and physical activity
Yu, T. X., Zhou, W., Wu, S., Liu, Q., & Li, X. (2020) · BMC Pediatrics · doi:10.1186/s12887-020-02274-8 · Cited by 29
Sedentary time has a stronger impact on metabolic health than moderate to vigorous physical activity in adolescents with obesity: a cross‐sectional analysis of the Beta‐JUDO study
Julian, V., Bergsten, P., Forslund, A. H., Ahlström, H. K., Ciba, I., Dahlbom, M., Furthner, D., Gomahr, J., Kullberg, J., Maruszczak, K., et al. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12897 · Cited by 32
“Thus, some studies investigating the combination of PA and SB have clearly demonstrated that low MVPA/high SB profiles were associated with higher odds of obesity and adiposity and a weaker metabolic health.(18,24,25) However, while recommendations have largely focused on MVPA so far, favouring MVPA or SB, when managi…”
Background
Do differences in compositional time use explain ethnic variation in the prevalence of obesity in children? Analyses using 24-hour accelerometry
Taylor, R. W., Haszard, J. J., Farmer, V. L., Richards, R., Morenga, L. T., Meredith-Jones, K. A., & Mann, J. I. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0377-1 · Cited by 28
Does light-intensity physical activity moderate the relationship between sitting time and adiposity markers in adolescents?
Ayala, A. M. C., Salmon, J., Dunstan, D. W., Arundell, L., & Timperio, A. F. (2020) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2020.04.002 · Cited by 28
“To date, most studies that explored the associations between the various intensities of physical activity, sedentary time, and health in children and adolescents have employed hip-mounted accelerometers.(16,29) A major disadvantage of accelerometers is their inability to differentiate between sitting and standing, whi…”
Background
Longitudinal association between movement behaviours and depressive symptoms among adolescents using compositional data analysis
Sampasa‐Kanyinga, H., Colman, I., Dumuid, D., Janssen, I., Goldfield, G. S., Wang, J., Patte, K. A., Leatherdale, S. T., & Chaput, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256867 · Cited by 28
Self-citation
Longitudinal associations of movement behaviours with body composition and physical fitness from 4 to 9 years of age: structural equation and mediation analysis with compositional data
Migueles, J. H., Nyström, C. D., Dumuid, D., Leppänen, M. H., Henriksson, P., & Löf, M. (2023) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-023-01417-1 · Cited by 31
Physical activity interventions for cardiopulmonary fitness in obese children and adolescents: a systematic review and meta-analysis
Wang, C., Tian, Z., Hu, Y., & Luo, Q. (2023) · BMC Pediatrics · doi:10.1186/s12887-023-04381-8 · Cited by 27
“Some studies have shown that the ratio of fruit, and vegetable intake to other nutritional intake of obese children and adolescents can have an impact on CRF [59].”
Background
Reallocating sitting time to standing or stepping through isotemporal analysis: associations with markers of chronic low-grade inflammation
Henson, J. J., Edwardson, C. L., Bodicoat, D. H., Bakrania, K., Davies, M. J., Khunti, K., Talbot, D. C. S., & Yates, T. E. (2017) · Journal of Sports Sciences · doi:10.1080/02640414.2017.1405709 · Cited by 26
Association Between Meeting Physical Activity, Sleep, and Dietary Guidelines and Cardiometabolic Risk Factors and Adiposity in Adolescents
Kracht, C. L., Champagne, C. M., Hsia, D. S., Martin, C. K., Newton, R. L., Katzmarzyk, P. T., & Staiano, A. E. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.12.011 · Cited by 32
A cross-sectional examination of the 24-hour movement behaviours in Canadian youth with physical and sensory disabilities
Arbour‐Nicitopoulos, K. P., Bassett-Gunter, R. L., Leo, J., Sharma, R., Olds, T., Latimer‐Cheung, A. E., & Ginis, K. A. M. (2020) · Disability and health journal · doi:10.1016/j.dhjo.2020.100980 · Cited by 27
Duration and intensity of different types of physical activity among children aged 10–13 years
Borghese, M. M., & Janssen, I. (2018) · Canadian Journal of Public Health · doi:10.17269/s41997-018-0157-z · Cited by 27
Movement Behaviors and Mental Wellbeing: A Cross-Sectional Isotemporal Substitution Analysis of Canadian Adolescents
Brown, D. M. Y., & Kwan, M. Y. W. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.736587 · Cited by 25
Using compositional analysis to explore the relationship between physical activity and cardiovascular health in children and adolescents with and without type 1 diabetes
Marshall, Z. A., Mackintosh, K. A., Gregory, J. W., & McNarry, M. A. (2021) · Pediatric Diabetes · doi:10.1111/pedi.13288 · Cited by 26
“However, compositional analyses indicate that when these behaviors are considered as a proportional whole, they do not necessarily replicate the influences observed on health outcomes when considered in isolation.(10,11) Specifically, the present study found that the average behavior composition was significantly asso…”
BackgroundMethodInfluential
The relationships among executive functions, self-regulation, and physical exercise in children with autism spectrum disorder
Tse, A. C. Y., LIU, V. H. L., Lee, P. H., Anderson, D. I., & Lakes, K. D. (2023) · Autism · doi:10.1177/13623613231168944 · Cited by 30
“The findings on exercise–SR relationship are in line with previous studies in TD population, which showed that greater exercise participation is positively related to SR in preschool children with TD (Becker et al., 2014; Carson et al., 2016; Williams, 2018).”
Result
A systematic review and meta-analysis of the first decade of compositional data analyses of 24-hour movement behaviours, health, and well-being in school-aged children
Kuzik, N., Duncan, M. J., Beshara, N., MacDonald, M., Silva, D. A. S., & Tremblay, M. S. (2025) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-025-00076-w · Cited by 31
“Of the included studies, 16 reported compositional regression results [28, 33–47], 12 reported compositional substitu-tion analysis results [28–30, 33, 34, 41, 45, 46, 48–51], three reported optimal movement behaviour composition results [16, 17, 52], and one study compared different clusters of…”
Self-citation
Compositional analysis of dietary patterns
Solans, M., Coenders, G., Marcos‐Gragera, R., Castelló, A., Gràcia‐Lavedan, E., Benavente, Y., Moreno, V. R., Pérez‐Gómez, B., Amiano, P., Fernández‐Villa, T., et al. (2018) · Statistical Methods in Medical Research · doi:10.1177/0962280218790110 · Cited by 27
Dynamics of sleep, sedentary behavior, and moderate-to-vigorous physical activity on school versus nonschool days
Armstrong, B., Beets, M. W., Starrett, A., Brazendale, K., Turner‐McGrievy, G. M., Saelens, B. E., Pate, R. R., Youngstedt, S. D., Maydeu‐Olivares, A., & Weaver, R. G. (2020) · SLEEP · doi:10.1093/sleep/zsaa174 · Cited by 26
“Although some work has begun to examine multiple time-use activity behaviors within a day, using techniques such as compositional analysis [5], there is a dearth of research examining the links between movement behavior patterns from one day to the following day, and across multiple days.”
Background
Relationship between Sedentary Time, Physical Activity and Multiple Lifestyle Factors in Children
Sheldrick, M. P. R., Tyler, R., Mackintosh, K. A., & Stratton, G. (2018) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk3010015 · Cited by 30
Parental Education and Pre-School Children’s Objectively Measured Sedentary Time: The Role of Co-Participation in Physical Activity
Määttä, S., Ray, C., Vepsäläinen, H., Lehto, E., Kaukonen, R., Ylönen, A., & Roos, E. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15020366 · Cited by 25
“Some recent studies link a higher ST with higher odds of belonging to the metabolically unhealthy group of school-aged children; high ST is also linked with obesity risk markers among school-aged children [13,14].”
Background
Compositional Influence of Movement Behaviors on Bone Health during Aging
Rodríguez‐Gómez, I., Mañas, A., Losa‐Reyna, J., Rodríguez‐Mañas, L., CHASTIN, S. F. M., Alegre, L. M., García‐García, F. J., & Ara, I. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001972 · Cited by 24
“which has been requested previously (39), and including covariates that could influence bone mass (e.”
BackgroundSelf-citation
A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data
Kwon, S., Andersen, L. B., Grøntved, A., Kolle, E., Cardon, G., Davey, R., Kriemler, S., Northstone, K., Page, A. S., Puder, J. J., et al. (2019) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-019-0801-x · Cited by 24
Factors Associated with Primary Hypertension in Pediatric Patients: An Up-to-Date
Machado, I. B. S., Tofanelli, M. R., da Silva, A. A. S., & Silva, A. C. S. E. (2021) · Current Pediatric Reviews · doi:10.2174/1573396317999210111200222 · Cited by 24
The Impact of Movement Behaviors on Bone Health in Elderly with Adequate Nutritional Status: Compositional Data Analysis Depending on the Frailty Status
Rodríguez‐Gómez, I., Mañas, A., Losa‐Reyna, J., Rodríguez‐Mañas, L., CHASTIN, S. F. M., Alegre, L. M., García‐García, F. J., & Ara, I. (2019) · Nutrients · doi:10.3390/nu11030582 · Cited by 24
Self-citation
Moving beyond more: towards a healthy balance of daily behaviours
Dumuid, D., Olds, T., & Sawyer, S. M. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01600-7 · Cited by 23
Problematic social media use and overweight/obesity: explanatory pathway analysis of 124 667 in‐school adolescents in 39 high‐income countries
Oduro, M. S., Katey, D., Morgan, A. K., & Peprah, P. (2023) · Pediatric Obesity · doi:10.1111/ijpo.13073 · Cited by 23
“84,85 The findings of Shimoga et al. 86”
Background
Prospective association between 24-hour movement behaviors and mental health among overweight/obese college students: a compositional data analysis approach
Wang, S., Liang, W., Song, H., Su, N., Zhou, L., Duan, Y., Rhodes, R. E., Liu, H., Yang, Y., Lau, W.-C., et al. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1203840 · Cited by 23
Examining childhood obesity through the lens of developmental psychopathology: Framing the issues to guide best practices in research and intervention.
Bohnert, A. M., Loren, D. M., & Miller, A. L. (2020) · American Psychologist · doi:10.1037/amp0000581 · Cited by 23
Health Promotion through Movement Behaviors and Its Relationship with Quality of Life in Spanish High School Adolescents: A Predictive Study
Vaquero‐Solís, M., Tapia‐Serrano, M. Á., Alcalá, D. H., Sierra-Díaz, M. J., & Miguel, P. A. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18147550 · Cited by 23
Reallocation of time between preschoolers’ 24-h movement behaviours and executive functions: A compositional data analysis
Lu, Z., Qu, X., Chang, J., Xu, M., Song, G., Wang, X., Okely, A. D., Zhang, T., Guan, H., & Wu, J. (2023) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2260632 · Cited by 23
“In line with previous findings employing compositional iso-temporal substitution model in healthy population including children (Carson et al., 2016; Chastin et al., 2015), the present study demonstrated the predicated changes for the allocation of time to/from MVPA were non-symmetrical.”
Result
The impact of height-adjustable desks and prompts to break-up classroom sitting on adolescents' energy expenditure, adiposity markers and perceived musculoskeletal discomfort
Ayala, A. M. C., Sudholz, B., Salmon, J., Dunstan, D. W., Ridgers, N. D., Arundell, L., & Timperio, A. F. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203938 · Cited by 22
Correlates of sedentary time in young children: A systematic review
Pereira, J. R., Zhang, Z., Sousa‐Sá, E., Santos, R., & Cliff, D. P. (2020) · European Journal of Sport Science · doi:10.1080/17461391.2020.1741689 · Cited by 22
Homes became the “everything space” during COVID-19: impact of changes to the home environment on children’s physical activity and sitting
Sheldrick, M. P. R., Swindell, N. J., Richards, A. B., Fairclough, S. J., & Stratton, G. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01346-5 · Cited by 24
Time-use movement behaviors are associated with scores of depression/anxiety among adolescents: A compositional data analysis
de Faria, F. R., Barbosa, D., Howe, C., Canabrava, K. L. R., Sasaki, J., & Amorim, P. R. D. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0279401 · Cited by 20
Daily Time-Use Patterns and Obesity and Mental Health among Primary School Students in Shanghai: A Population-Based Cross-Sectional Study
Zhang, Y., Zhang, D. “., Li, X., Ip, P., Ho, F. K. W., Jiang, Y., Sun, W., Zhu, Q., Zhu, W., Zhang, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-15102-4 · Cited by 22
Reallocating Time from Sedentary Behavior to Light and Moderate-to-Vigorous Physical Activity: What Has a Stronger Association with Adiposity in Older Adult Women?
Pelclová, J., Štefelová, N., Pechová, J., Dygrýn, J., Gába, A., & Zając-Gawlak, I. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15071444 · Cited by 22
Cohort Profile Update: The Young-HUNT Study, Norway
Rangul, V., Holmen, T. L., Langhammer, A., Ingul, J. M., Pape, K., Fenstad, J. S., & Kvaløy, K. (2024) · International Journal of Epidemiology · doi:10.1093/ije/dyae013 · Cited by 23
“7 Additionally, the combined analyses applied to follow-up data from adolescence into adulthood provide opportunities to explore life course trajectories predictive of optimal health pathways.”
Method
A systematic review of research reporting practices in observational studies examining associations between 24-h movement behaviors and indicators of health using compositional data analysis
Brown, D. M. Y., Burkart, S. A., Groves, C. I., Balbim, G. M., Pfledderer, C. D., Porter, C. D., Laurent, C. W. S., Johnson, E. K., & Kracht, C. L. (2024) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-024-00062-8 · Cited by 29
Association between 24‐hour movement behaviors and adiposity in children and adolescents: A compositional data meta‐analysis
Bourke, M., Harrison, Z., Fortnum, K., Thomas, G., O’Flaherty, M. J., Mulcahy, S., Gomersall, S. R., Alsop, T., Trost, S. G., Koplin, J. J., et al. (2025) · Obesity Reviews · doi:10.1111/obr.13884 · Cited by 21
“Five studies were conducted in Canada, 51,58,59,65,66 two in New Zealand, 63,70 two in China, 53,60 and a single study in each of Australia, 68 Brazil, 61 Czech Republic, 69 England, 62 Sweden, 67 and the United States.”
Longitudinal Changes in Sitting Patterns, Physical Activity, and Health Outcomes in Adolescents
Ayala, A. M. C., Salmon, J., Dunstan, D. W., Arundell, L., Parker, K. E., & Timperio, A. F. (2018) · Children · doi:10.3390/children6010002 · Cited by 21
Adolescent movement behaviour profiles are associated with indicators of mental wellbeing
Brown, D. M. Y., Cairney, J., & KWAN, M. Y. W. (2021) · Mental health and physical activity · doi:10.1016/j.mhpa.2021.100387 · Cited by 22
Sleep onset, duration, or regularity: which matters most for child adiposity outcomes?
Glasgow, T. E., Adams, E. L., Ksinan, A. J., Barsell, D. J., Lunsford‐Avery, J. R., Chen, S., Kollins, S. H., Schechter, J. C., Maguire, R. L., Engelhard, M., et al. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01140-0 · Cited by 21
The Physical Behaviour Intensity Spectrum and Body Mass Index in School-Aged Youth: A Compositional Analysis of Pooled Individual Participant Data
Fairclough, S. J., Hurter, L., Dumuid, D., Gába, A., Rowlands, A. V., Cruz, B. D. P., Cox, A., Crotti, M., Foweather, L., Graves, L., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148778 · Cited by 22
“Other studies used a much lower MVPA count cut-point of 1499 counts·min−1 [24,27], while raw acceleration cut-points (e.”
BackgroundResultInfluential
Questionnaires Measuring 24-Hour Movement Behaviors in Childhood and Adolescence: Content Description and Measurement Properties—A Systematic Review
Rodrigues, B., Encantado, J., Carraça, E. V., Martins, J., Marques, A., Lopes, L., Sousa‐Sá, E., Cliff, D. P., Mendes, R., & Santos, R. (2022) · Journal of Physical Activity and Health · doi:10.1123/jpah.2022-0399 · Cited by 23
Utility of international normative 20 m shuttle run values for identifying youth at increased cardiometabolic risk
Buchan, D. S., Knox, G., Jones, A. M., Tomkinson, G. R., & Baker, J. S. (2018) · Journal of Sports Sciences · doi:10.1080/02640414.2018.1511318 · Cited by 21
Correction of bias in self-reported sitting time among office workers – a study based on compositional data analysis
Coenen, P., Mathiassen, S. E., van der Beek, A. J., & Hallman, D. (2019) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.3827 · Cited by 23
Day-to-day and longer-term longitudinal associations between physical activity, sedentary behavior, and sleep in children
Antczak, D., Sanders, T., Cruz, B. D. P., Parker, P. D., & Lonsdale, C. (2020) · SLEEP · doi:10.1093/sleep/zsaa219 · Cited by 22
The Association of Contemporary Screen Behaviours with Physical Activity, Sedentary Behaviour and Sleep in Adolescents: a Cross-sectional Analysis of the Millennium Cohort Study
Kontostoli, E., Jones, A., Pearson, N., Foley, L. S., Biddle, S., & Atkin, A. J. (2022) · International Journal of Behavioral Medicine · doi:10.1007/s12529-022-10077-7 · Cited by 24
Sleep, sedentary behavior, and physical activity in Brazilian adolescents: Achievement recommendations and BMI associations through compositional data analysis
Domingues, S. F., da Silva, C. D., de Faria, F. R., Souza, H. D. S., & Amorim, P. R. D. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266926 · Cited by 25
Intervention Effects of the Health Promotion Programme “Join the Healthy Boat” on Objectively Assessed Sedentary Time in Primary School Children in Germany
Kobel, S., Dreyhaupt, J., Wartha, O., Kettner, S., Hoffmann, B., & Steinacker, J. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17239029 · Cited by 19
Adolescent time use and mental health: a cross-sectional, compositional analysis in the Millennium Cohort Study
Atkin, A. J., Dainty, J. R., Dumuid, D., Kontostoli, E., Shepstone, L., Tyler, R., Noonan, R. J., Richardson, C., & Fairclough, S. J. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-047189 · Cited by 22
Contrasting compositions of sitting, standing, stepping, and sleeping time: associations with glycaemic outcome by diabetes risk
Brakenridge, C. J., Healy, G. N., Sethi, P., Carver, A., Bellettiere, J., Salim, A., CHASTIN, S. F. M., Owen, N. G., & Dunstan, D. W. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01209-5 · Cited by 19
“short or long periods of sitting /or stepping), intensity (light, moderate, or vigorous intensity), nor sleep quality, which are known to have independent associations with cardiometabolic biomarkers [8, 41, 42].”
BackgroundSelf-citation
Longitudinal relations between gaming, physical activity, and athletic self-esteem
Hygen, B. W., Belsky, J., Stenseng, F., Steinsbekk, S., Wichstrøm, L., & Skalická, V. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107252 · Cited by 19
Questionnaires measuring movement behaviours in adults and older adults: Content description and measurement properties. A systematic review
Rodrigues, B., Encantado, J., Carraça, E. V., Sousa‐Sá, E., Lopes, L., Cliff, D. P., Mendes, R., Silva, M. N., Godinho, C. I. A., & Santos, R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265100 · Cited by 22
Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches
Bird, M., Datta, G. D., Chinerman, D., Kakinami, L., Mathieu, M.-E., Henderson, M., & Barnett, T. A. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01256-6 · Cited by 19
Time Reallocations From Sedentary Behavior to Physical Activity and Cardiovascular Risk Factors in Children and Adolescents: A Systematic Review
Volpato, L. A., da Costa, J. C., Lopes, W. A., Sasaki, J. E., Romanzini, C. L. P., Ronque, Ê. R. V., & Romanzini, M. (2023) · Journal of Physical Activity and Health · doi:10.1123/jpah.2022-0471 · Cited by 19
Assessment and treatment of pediatric behavioral sleep disorders in Canada
Corkum, P. V., Weiss, S. K., Hall, W. A., Brown, C. A., Chambers, C. T., Constantin, E., Godbout, R., Hanlon‐Dearman, A., Ipsiroglu, O., Reid, G. J., et al. (2018) · Sleep Medicine · doi:10.1016/j.sleep.2018.11.007 · Cited by 19
Association Between 24‐h Movement Behaviors and Mental Health in Children and Adolescents: A Systematic Review and Compositional Data Meta‐Analysis
Bourke, M., Wang, H., Fortnum, K., Thomas, G., O’Flaherty, M., Mulcahy, S. K., Gomersall, S. R., Alsop, T., Trost, S. G., Bruijns, B. A., et al. (2025) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.70120 · Cited by 22
“One study reported on log-transformed outcomes [44].”
24-H movement behaviors and physical fitness in preschoolers: A compositional and isotemporal reallocation analysis
Song, H., Lau, W. C., Wang, J., Liu, Y., Song, Y., & Shi, L. (2024) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2024.03.002 · Cited by 18
“13,33 The importance of sleep for PF was not emphasized.”
Background
Reliability and consistency of movement behavior questionnaire (MBQ) in children at COVID-19 social distancing.
Lemes, V. B., Fochesatto, C. F., & Gaya, A. R. (2020) · Journal of Movement & Health · doi:10.5027/jmh-vol18-issue1(2021)art99 · Cited by 19
Associations between 24-hour movement guideline adherence and mental health disorders among young people with active and inactive epilepsy
Brown, D. M. Y., & Ronen, G. M. (2021) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2021.108386 · Cited by 18
Association between Sleep, Sedentary Time, Physical Activity, and Adiposity in Adolescents: A Prospective Observational Study
Kracht, C. L., Katzmarzyk, P. T., Champagne, C. M., Broyles, S. T., Hsia, D. S., Newton, R. L., & Staiano, A. E. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003018 · Cited by 19
“Even so, cross-sectional analyses have found that time spent in vigorous-intensity physical activity (VPA) relative to all other behaviors (sedentary time, LPA, and MVPA) was associated with lower BMI z-scores in children and adolescents (6–17 yr) (14), and reallocating sedentary time to LPA and VPA was associated wit…”
Background
Development of a 24-hour movement behaviors questionnaire (24HMBQ) for Chinese college students: validity and reliability testing
Zheng, J., Tan, T. C., Zheng, K., & Huang, T. (2023) · BMC Public Health · doi:10.1186/s12889-023-15393-5 · Cited by 17
A school-based physical activity intervention in primary school: effects on physical activity, sleep, aerobic fitness, and motor competence
Costa, J. A., Vale, S., Cordovil, R., Rodrigues, L., Cardoso, V., Proença, R., Costa, M., Neto, C., Brito, J., Guilherme, J., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1365782 · Cited by 19
The neighborhood physical environment and the 24-hour movement behavior composition among children
Campbell, J. E., & Janssen, I. (2022) · International Journal of Environmental Health Research · doi:10.1080/09603123.2022.2041562 · Cited by 16
“Furthermore, recent research has demonstrated that the entire 24-hour movement behavior composition, defined as the relative proportions of the 24-hour day devoted to different intensities of physical activity, sedentary behavior, and sleep, is important for health (Carson et al. 2016; Tremblay et al. 2016).”
Background
Associations between 24-h movement behaviours and BMI in Chinese primary- and middle- school students
Chen, H., Wang, L., Xin, F., Liang, G., & Zhou, Y. (2023) · Journal of Exercise Science & Fitness · doi:10.1016/j.jesf.2023.01.002 · Cited by 20
Study on the relationship and related factors between physical fitness and health behavior of preschool children in southwest China
Zou, R., Wang, K., Li, D., Liu, Y., Zhang, T., & Wei, X. (2024) · BMC Public Health · doi:10.1186/s12889-024-19269-0 · Cited by 16
Factors forming the health of modern children and adolescents
Грицина, О. П., Trankovskaya, L. V., Валентиновна, С. Е., & Андреевна, Л. Е. (2020) · Pacific Medical Journal · doi:10.34215/1609-1175-2020-3-19-24 · Cited by 16
“образа жизни канадских школьников [50].”
Adolescents’ sedentary time, affect, and contextual factors: An ecological momentary assessment study
Kracht, C. L., Beyl, R. A., Maher, J. P., Katzmarzyk, P. T., & Staiano, A. E. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01121-y · Cited by 20
“expending little energy, is a risk factor for poor mental and physical health in childhood [1, 2].”
Background
Association between Metabolic Syndrome Diagnosis and the Physical Activity—Sedentary Profile of Adolescents with Obesity: A Complementary Analysis of the Beta-JUDO Study
Julian, V., Ciba, I., Olsson, R., Dahlbom, M., Furthner, D., Gomahr, J., Maruszczak, K., Mörwald, K., Pixner, T., Schneider, A.-M., et al. (2021) · Nutrients · doi:10.3390/nu14010060 · Cited by 17
Changes in physical activity patterns of students from primary to secondary school: a 5-year longitudinal study
Okazaki, K., Koyama, Y., & Ohkawara, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-15523-w · Cited by 18
Sociodemographic differences in 24-hour time-use behaviours in New Zealand children
Hedayatrad, L., Stewart, T. I., Paine, S., Marks, E. J., Walker, C. G., & Duncan, S. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01358-1 · Cited by 15
“Children’s 24-h activity intensity compositions have been linked with various physical and mental health outcomes [14, 34, 35].”
Background
Preventing and treating childhood obesity by sleeping better: a systematic review
Porri, D., Luppino, G., Aversa, T., Corica, D., Valenzise, M., Messina, M. F., Pepe, G., Morabito, L. A., Rosa, E. L., Lugarà, C., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1426021 · Cited by 17
Reallocation of time to moderate-to-vigorous physical activity and estimated changes in physical fitness among preschoolers: a compositional data analysis
Lu, Z., Guo, J., Liu, C., Wu, J., Zhao, C., Wang, F., Bao, Y., Zhang, H., Li, X., Li, X., et al. (2024) · BMC Public Health · doi:10.1186/s12889-024-20290-6 · Cited by 15
“Given the gender differences of these indicators, previous research has emphasized the necessity of employing CoDA to examine the associations between daily time-use composition and physical fitness across different genders [19].”
Background
Methodological Choices on 24-h Movement Behavior Assessment by Accelerometry: A Scoping Review
Rodrigues, B., Videira‐Silva, A., Lopes, L., Sousa‐Sá, E., Vale, S. M. C. G., Cliff, D. P., Mendes, R., & Santos, R. (2025) · Sports Medicine - Open · doi:10.1186/s40798-025-00820-1 · Cited by 17
Are Movement Behaviors and Fundamental Motor Skills Associated With Fitness and Fatness in Early Childhood? Findings From the 2012 NHANES National Youth Fitness Survey
Zhang, X., Gu, X., Zhang, T., Caçola, P. M., & Wang, J. (2019) · Pediatric Exercise Science · doi:10.1123/pes.2018-0272 · Cited by 18
Relationship between sleep duration and TV time with cardiometabolic risk in adolescents
Sehn, A. P., Gaya, A. R., Dias, A. F., Brand, C., Mota, J. A. P. S., Pfeiffer, K. A., Sayavera, J. B., Renner, J. D. P., & Reuter, C. P. (2020) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-020-00880-7 · Cited by 15
“Many authors have shown that TV time becomes risky behavior when children are inactive [40, 42], while others suggest an increased health risk Table 3 Regression analysis between TV time, age, gender, and skin color/ethnicity with cardiometabolic risk in adolescents”
Background
The difference in sleep, sedentary behaviour, and physical activity between older adults with ‘healthy’ and ‘unhealthy’ cardiometabolic profiles: a cross-sectional compositional data analysis approach
Ryan, D. J., Wullems, J. A., Stebbings, G. K., Morse, C. I., Stewart, C. E., & Onambélé-Pearson, G. L. (2019) · European Review of Aging and Physical Activity · doi:10.1186/s11556-019-0231-4 · Cited by 16
Identifying Promising School-Based Intervention Programs to Promote 24-Hour Movement Guidelines among Children: Protocol for a Systematic Review
Rodrigo-Sanjoaquín, J., Bois, J. E., Solana, A. A., Lhuisset, L., & Casterad, J. Z. (2020) · Sustainability · doi:10.3390/su12229436 · Cited by 14
“, high sleep quality, high sleep duration) have shown more beneficial outcomes compared with interventions that do not combine these behaviors [12,20].”
Background
Muscle-strengthening exercise and positive mental health in children and adolescents: An urban survey study
Zhang, X., Jiang, C., Zhang, X., & Chi, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.933877 · Cited by 20
Development of the Children and Adolescents Physical Activity and Sedentary Questionnaire (CAPAS-Q): Psychometric Validity and Clinical Interpretation
Fillon, A., Pereira, B., Vanhelst, J., Baran, J., Masurier, J., Guirado, T., Boirie‌, Y., Duclos, M., Julian, V., & Thivel, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192113782 · Cited by 17
Estimating sleep efficiency in 10- to- 13-year-olds using a waist-worn accelerometer
Borghese, M., Lin, Y., Chaput, J., & Janssen, I. (2017) · Sleep Health · doi:10.1016/j.sleh.2017.09.006 · Cited by 15
Self-citation
Association of physical activity metrics with indicators of cardiovascular function and control in children with and without type 1 diabetes
Marshall, Z. A., Mackintosh, K. A., Lewis, M. J., Ellins, E. A., & McNarry, M. A. (2020) · Pediatric Diabetes · doi:10.1111/pedi.13159 · Cited by 13
“may represent a more feasible and sustainable target than MVPA for those with low physical activity levels at baseline,(50,51) it is worth noting that the greatest health benefits are elicited through MVPA, with significantly longer periods of LPA required to obtain similar benefits.(52) Therefore, future studies in c…”
Background
Associations Between Meeting the 24-Hour Movement Guidelines and Cardiometabolic Risk in Young Children
Vanderloo, L. M., Maguire, J. L., Keown‐Stoneman, C. D. G., Parkin, P. C., Borkhoff, C. M., Tremblay, M. S., Anderson, L. N., Birken, C. S., & _, _. (2021) · Pediatric Exercise Science · doi:10.1123/pes.2020-0249 · Cited by 14
“These variables included the child ’ s age and sex, maternal education, maternal ethnicity, family history of cardiovascular disease, fasting hours, and annual household income (14,42,49).”
Self-citation
Earlier bedtimes and more sleep displace sedentary behavior but not moderate-to-vigorous physical activity in adolescents
Krietsch, K. N., Duraccio, K. M., Zhang, N., Saelens, B. E., Howarth, T., Combs, A., & Beebe, D. W. (2022) · Sleep Health · doi:10.1016/j.sleh.2022.01.003 · Cited by 13
Validity of a Novel Algorithm to Detect Bedtime, Wake Time, and Sleep Time in Adults
Leister, K. R., Garay, J., & Barreira, T. V. (2022) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2021-0027 · Cited by 15
Cross-sectional and prospective associations between children's 24-h time use and their health-related quality of life: a compositional isotemporal substitution approach
Tan, S. Y. X., Padmapriya, N., Bernard, J. Y., Toh, J. Y., Wee, H. L., Tan, K. H., Yap, F. K. P., Lee, Y. S., Chong, Y. S., Godfrey, K. M., et al. (2023) · The Lancet Regional Health - Western Pacific · doi:10.1016/j.lanwpc.2023.100918 · Cited by 14
“The asymmetrical trend observed for MVPA is in line with previous studies among children of a similar age group, 11,47 which may be attributed to already suboptimal MVPA durations in children, 48,49 whereby further reducing time in MVPA could exacerbate the outcomes (e.g., relationship with friends…”
Result
Sweat, Sit, Sleep: A Compositional Analysis of 24‐hr Movement Behaviors and Body Mass Index among Children with Autism Spectrum Disorder
Healy, S., Brewer, B. C., Garcia, J. M., Daly, J., & Patterson, F. (2020) · Autism Research · doi:10.1002/aur.2434 · Cited by 13
“This finding is, however, in contrast to compositional analysis of movement behaviors and adiposity among children with ND, which generally shows reallocation of time to MVPA to be the more predictive of decreased body weight [Carson et al., 2016; Dumuid et al., 2018; Talarico & Janssen, 2018].”
ResultInfluential
Cross-Sectional Associations Between Wake-Time Movement Compositions and Mental Health in Preschool Children With and Without Motor Coordination Problems
Brown, D. M. Y., KWAN, M. Y. W., King‐Dowling, S., & Cairney, J. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.752333 · Cited by 13
Physical activity, sedentary behaviour, and sleep in the Thai population: A compositional data analysis including 135,824 participants from two national time-use surveys
Liangruenrom, N., Dumuid, D., & Pedišić, Ž. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280957 · Cited by 21
“Replacing only 10 min of moderate-to-vigorous PA with SB has been associated with increased body mass index (BMI) of 5.1% in Canadian children and adolescents [19].”
Influential
Physical Activity, Inactivity, and Health During Youth
Rowlands, A. V. (2016) · Pediatric Exercise Science · doi:10.1123/pes.2016-0007 · Cited by 14
Exploring attention to the Canadian 24‐Hour Movement Guidelines for Children and Youth using eye‐tracking: A randomized control trial
Walters, A. J., Lithopoulos, A., Tennant, E. M., Weissman, S. E., & Latimer‐Cheung, A. E. (2022) · Public Health Nursing · doi:10.1111/phn.13064 · Cited by 12

Authors: Carson, V., Tremblay, M. S., Chaput, J.-P., & Chastin, S. F. M.
Affiliations: University of Alberta (CA)
Children's Hospital of Eastern Ontario (CA)
Glasgow Caledonian University (GB)
ORCID: Carson, Valerie
Tremblay, Mark S.
Chaput, Jean-Philippe
Chastin, Sebastien F.M.
Venue: Applied Physiology, Nutrition, and Metabolism
Publisher: Canadian Science Publishing
Published: 2016-06
Volume: 41
Issue: 6 (Suppl. 3)
Pages: S294-S302
ISSN: 1715-5312 (ISSN-L)
1715-5320
DOI: 10.1139/apnm-2016-0026
OpenAlex: W2423833455
Semantic Scholar: 824aa8e7306286fb30dde13958b2c0379a5c9d60
Cited by: 414
References: 40
Citations by year: 2026: 7 · 2025: 41 · 2024: 37 · 2023: 43 · 2022: 63 · 2021: 50 · 2020: 63 · 2019: 36 · 2018: 45 · 2017: 19 · 2016: 9
FWCI: 29.22
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.nrcresearchpress.com/page/about/CorporateTextAndDataMining (tdm)
Locations: Applied Physiology, Nutrition, and Metabolism (publishedVersion, cc-by)
PubMed (publishedVersion)
ResearchOnline (Glasgow Caledonian University) (acceptedVersion, cc-by)
Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
UniSA Research Outputs Repository (University of South Australia) (submittedVersion)
Funders: Public Health Agency of Canada
Public Health Agency
Canadian Institutes of Health Research
Social Sciences and Humanities Research Council of Canada
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Keywords: sleep duration, sedentary behavior, physical activity, 24-hour movement behaviours, children and young people, cardiometabolic risk, systolic blood pressure, cardiorespiratory fitness, light physical activity, moderate-to-vigorous physical activity, compositional data analysis, isometric log-ratio
MeSH terms: Adolescent, Adolescent Behavior, Blood Pressure, C-Reactive Protein, Canada, Cardiovascular Diseases, Child, Child Behavior, Cross-Sectional Studies, Female, Health Status, Humans, Insulin, Cholesterol, HDL, Cholesterol, LDL, Male, Obesity, Risk Factors, Sleep, Triglycerides, Biomarkers, Exercise, Body Mass Index, Metabolic Syndrome, Waist Circumference, Young Adult, Sedentary Behavior, Accelerometry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks