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

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

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

DOI 10.1139/apnm-2016-0026

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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.

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“Besides, other research indicates that maintaining good PA levels is more important for cardiometabolic health than the time allotted for sedentary behaviour (Carson et al. 2016; Saunders et al. 2016; Cristi-Montero et al. 2019; Skrede et al. 2019; Xiong et al. 2021).”
Background
Moving beyond moderate-to-vigorous physical activity: A longitudinal study on adherence to 24-hour Movement Guidelines in adolescents
Telford, D. M., Meiring, R. M., & Gusso, S. (2024) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2024.10.002 · Cited by 9
24-hour movement behaviours in the early years, potential behavioural determinants and prospective associations with growth, motor and social–emotional development: the My Little Moves study protocol
Altenburg, T. M., Gubbels, J. S., Arts, J., Lettink, A., Veldman, S. L. C., Verhoeff, A. P., & Chinapaw, M. J. M. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081836 · Cited by 6
Prospective evaluation of 24-hour movement behaviors among adolescents recovering from a sport-related concussion
Brayton, R. P., Price, A. M., Jones, C., Ellis, C. S., Burkhart, S. O., & Knell, G. (2023) · Applied Neuropsychology Child · doi:10.1080/21622965.2023.2181082 · Cited by 6
“…composition, aerobic fitness, and blood lipid profile, the combined or concurrent effect of sleep and physical activity appears to be stronger than the independent effect of either sleep or physical activity (Carson et al., 2016; Chastin et al., 2015; Dulloo et al., 2017; Saunders et al., 2016).”
Accelerometer-measured 24-hour movement behaviours over 7 days in Malaysian children and adolescents: A cross-sectional study
Brady, S. M., Salway, R., Mariapun, J., Millard, L. A. C., Ramadas, A., Rizal, H., Skinner, A., Stone, C., Johnson, L., Su, T. T., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297102 · Cited by 6
Effects of Sharing Data With Teachers on Student Physical Activity and Sedentary Behavior in the Classroom
Hodgin, K. L., von Klinggraeff, L., Dauenhauer, B. D., McMullen, J. M., Kuhn, A. P., Stoepker, P., & Carson, R. L. (2020) · Journal of Physical Activity and Health · doi:10.1123/jpah.2018-0711 · Cited by 6
Combination of sleep duration, TV time and body mass index is associated with cardiometabolic risk moderated by age in youth
Sehn, A. P., Gaya, A. R., Brand, C., Dias, A. F., Kelishadi, R., Franke, S. I. R., Renner, J. D. P., & Reuter, C. P. (2020) · Journal of Pediatric Endocrinology and Metabolism · doi:10.1515/jpem-2020-0399 · Cited by 6
“In the literature, the combination of sleep, TV time and physical activity related to cardiometabolic risk is more commonly used [12, 15, 16].”
Background
Development of accelerometer‐based light to vigorous physical activity in fitness profiles of school‐aged children
Gråstén, A., Huhtiniemi, M., Hakonen, H., & Jaakkola, T. T. (2021) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/sms.14056 · Cited by 6
“A clear shortcoming of previous studies is the lack of data on school-aged children that accurately reflects the time they spend in other movement behaviors besides MVPA 16,19 in relation to motor competence and health-related fitness.”
Background
Association between alanine aminotransferase as surrogate of fatty liver disease and physical activity and sedentary time in adolescents with obesity
Julian, V., Bergsten, P., Ennequin, G., Forslund, A. H., Ahlström, H. K., Ciba, I., Dahlbom, M., Furthner, D., Gomahr, J., Kullberg, J., et al. (2022) · European Journal of Pediatrics · doi:10.1007/s00431-022-04539-z · Cited by 6
Accelerometer and self-reported measures of sedentary behaviour and associations with adiposity in UK youth
Noonan, R. J., Christian, D. L., Boddy, L. M., Saint‐Maurice, P. F., Welk, G. J., Hibbing, P. R., & Fairclough, S. J. (2019) · Journal of Sports Sciences · doi:10.1080/02640414.2019.1605649 · Cited by 6
“…time (Eisenmann, Bartee, Smith, Welk, & Fu, 2008; Steffen, Dai, Fulton, & Labarthe, 2009; Zhang, Wu, Zhou, Lu, & Mao, 2016), leading to the consistent finding that youth who watch high levels of TV are more likely to be overweight or obese (Carson et al., 2016a, 2011b; Tremblay et al., 2011a).”
Background
The effectiveness of multidisciplinary weight loss interventions is associated with initial cardiorespiratory fitness in adolescents with obesity
Allali, B., Pereira, B., Fillon, A., Pouele, L., Masurier, J., Cardenoux, C., Isacco, L., Boirie‌, Y., Duclos, M., Thivel, D., et al. (2024) · Pediatric Obesity · doi:10.1111/ijpo.13147 · Cited by 5
“18 The MVPA and sedentary times are also thought to be independently correlated with FM percentage in adolescents with obesity.”
Compositional data analysis of 24-hour movement behaviors as a predictor for cardiometabolic health outcomes among school-aged youth: A systematic review
Moore, K., Castillo, S., McAlister, K. L., Chapman, T. M., Crosley‐Lyons, R., & Belcher, B. R. (2025) · Journal of Sports Sciences · doi:10.1080/02640414.2025.2603845 · Cited by 5
“This study did not include sleep, which has previously been linked to glucose homeostasis (Carson et al., 2016; Derks et al., 2017; Matricciani et al., 2019). highlighting the need for additional work in this area.”
Sleep duration and screen time in children and adolescents: Simultaneous moderation role in the relationship between waist circumference and cardiometabolic risk according to physical activity
Sehn, A. P., Brand, C., Tornquist, L., Tornquist, D., Silveira, J. F. D. C., Gaya, A. R., Cristi‐Montero, C., Burns, R. D., Renner, J. D. P., & Reuter, C. P. (2024) · European Journal of Sport Science · doi:10.1002/ejsc.12070 · Cited by 5
“Physical inactivity and sedentary behavior (SB) are well ‐ established and independent determinants of increased WC and cardiometabolic risk in the pediatric population (Carson, Tremblay, et al., 2016; Tremblay et al., 2011).”
BackgroundResult
Assessment of Perceived Physical Literacy and Its Relationship with 24-Hour Movement Guidelines in Adolescents: The ENERGYCO Study
Valle-Muñoz, V. M., Águila-Lara, E., Ávila‐García, M., Segura-Díaz, J. M., Campos-Garzón, P., Barranco-Ruíz, Y., Saucedo‐Araujo, R. G., & Villa‐González, E. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22020194 · Cited by 5
“Adequate sleep, regular physical activity (PA), and reduced sedentary behavior, such as by limiting screen time, are widely recognized as key factors for healthy development during childhood and adolescence [1–3].”
Compositional associations of time spent in sleep, screen time, and physical activity with polysubstance use in adolescents
Zahran, S., & Janssen, I. (2023) · Addictive Behaviors · doi:10.1016/j.addbeh.2023.107755 · Cited by 6
Exploring Parents’ Message Receipt and Message Enactment of the World’s First Integrated Movement Behaviour Guidelines for Children and Youth
Tennant, E. M., Tremblay, M. S., Faulkner, G., Gainforth, H. L., & Latimer‐Cheung, A. E. (2019) · Journal of Health Communication · doi:10.1080/10810730.2019.1651429 · Cited by 5
Self-citation
Screen time, physical activity and cardiovascular risk factors in adolescents
Bergmann, G. G., Tassitano, R. M., Bergmann, M. L. D. A., Tenório, M. C. M., & Mota, J. A. P. S. (2018) · Revista Brasileira de Atividade Física & Saúde · doi:10.12820/rbafs.23e0008 · Cited by 5
BEDEN EĞİTİMİ ÖĞRETMENLERİ, ÖĞRENCİLER VE AİLELERİN BAKIŞ AÇISI İLE SAĞLIKLA İLGİLİ FİZİKSEL UYGUNLUK KARNESİ: YENİ BİR UYGULAMA
Salman, U., & Sarı, İ. (2020) · Ankara Üniversitesi Beden Eğitimi ve Spor Yüksekokulu SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi · doi:10.33689/spormetre.589153 · Cited by 5
Associations between children’s physical literacy and well-being: is physical activity a mediator?Preprint
Melby, P. S., Nielsen, G., Brønd, J. C., Tremblay, M. S., Bentsen, P., & Elsborg, P. (2022) · Research Square · doi:10.21203/rs.3.rs-1408100/v1 · Cited by 5
Self-citation
Editorial: Movement behaviors (sleep, sedentary behavior and physical activity) and physical and mental/cognitive health
Sousa‐Sá, E., Cook, C. J., Burley, J., & Santos, R. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1252986 · Cited by 7
Associations between 24-hour movement compositions and cardiometabolic health in children and adolescents: a five-part compositional analysis using data from the International Children’s Accelerometery Database (ICAD)
Marshall, Z. A., Runacres, A., Hallal, P. C., Jago, R., Kwon, S., Northstone, K., PATE, R. R., Puder, J. J., Reilly, J. J., Sardinha, L. B., et al. (2025) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2025-002568 · Cited by 4
“The majority of our understanding of the relationship between PA and health outcomes still revolves around moderate to vigorous PA (MVPA), with a developing understanding of the influence of remaining behaviours (ie, sedentary time (SED), sleep and light-intensity PA (LPA)) that make up on average 95% of a child’s day.”
Influential
Associations between physical fitness and different aspects of screen time in children and adolescents
Dong, Q., Liu, H., & Fu, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-11625-3 · Cited by 9
“By examining multiple screen time behaviors, health – related policy makers would be able to tackle the most common behavior related to PF and reallocate it with more favorable movement patterns beneficial for health and well – being in youth 30,31 .”
The diurnal pattern and social context of screen behaviours in adolescents: a cross-sectional analysis of the Millennium Cohort Study
Kontostoli, E., Jones, A., & Atkin, A. J. (2022) · BMC Public Health · doi:10.1186/s12889-022-13552-8 · Cited by 4
Impact of sociodemographic factors, sleep, physical activity, and sedentary lifestyle on central obesity in schoolchildren aged 6–12 years in Marrakech, Morocco
Lahyani, Y., Adarmouch, L., Sebbani, M., Mansoury, O., Mouaddib, H. E., & Amine, M. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e41176 · Cited by 4
The impact of a school-based physical activity program on children's movement behaviors, aerobic fitness and motor competence: a follow up study
Bloch, M., Cordovil, R., Rodrigues, L., Martins, C., Braga, M. L., Vale, S., Proença, R., Brito, J., Guilherme, J., Neto, C., et al. (2025) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2025.1541862 · Cited by 7
Physical activity, sedentary time, and sleep from childhood to young adulthood: a seven-wave cohort study of within-person relations
Kuldas, S., Ranum, B. M., Aspvik, N. P., Wichstrøm, L., & Steinsbekk, S. (2025) · SLEEP · doi:10.1093/sleep/zsaf221 · Cited by 5
“Because PA at the moderate-to-vigorous level is associated with beneficial health outcomes in youth [35, 36], we examine both overall daily PA and MVPA.”
The Cross-Sectional and Longitudinal Association Between 24-Hour Movement Behavior Compositions With Body Mass Index, Waist Circumference, and Internalizing and Externalizing Symptoms in 6-Year-Old Children
Bourke, M., Alsop, T., Peters, R. L., Cassim, R., Wake, M. A., Tang, M. L. K., & Koplin, J. J. (2024) · Journal of Physical Activity and Health · doi:10.1123/jpah.2024-0482 · Cited by 4
Allostastic Load and Allostatic Weight: A Literature Review of a Confusing Concept
Sosso, F. A. E. (2018) · Journal of Neurology and Neuroscience · doi:10.21767/2171-6625.1000242 · Cited by 4
“The chronic stress activates the peripheral nervous system, neuro-endocrinal, and increases the risk of cardiovascular disease [36,37].”
Background
Change and Stability in Sibling Resemblance in Obesity Markers: The Portuguese Sibling Study on Growth, Fitness, Lifestyle, and Health
Pereira, S., Katzmarzyk, P. T., Hedeker, D., & Maia, J. A. R. (2019) · Journal of Obesity · doi:10.1155/2019/2432131 · Cited by 4
“On the other hand, previous systematic reviews reported strong evidence that spending large proportions of awake time on screens was positively associated with obesity markers [53].”
Background
Uso do celular antes de dormir: um fator com maior risco para sonolência excessiva em adolescentes de escolas militares
de Souza, E. A., Pinto, J. C. B. D. L., & Alves, F. R. (2020) · Jornal Brasileiro de Psiquiatria · doi:10.1590/0047-2085000000265 · Cited by 20
Identifying Risk Profiles for Nonadherence to the 24-Hour Movement Guidelines for Children and Youth 6 Months Into the COVID-19 Pandemic
Guerrero, M., Moore, S. A., Faulkner, G., Roberts, K. C., Mitra, R., Vanderloo, L. M., Rhodes, R. E., & Tremblay, M. S. (2023) · Pediatric Exercise Science · doi:10.1123/pes.2021-0186 · Cited by 4
Self-citation
Go to bed!: Sleep as a risk factor for adolescent hypertension
Wang, Y. M., Dandoy, C. E., Smith, D. F., & Hogenesch, J. B. (2023) · Progress in Pediatric Cardiology · doi:10.1016/j.ppedcard.2023.101613 · Cited by 6
A study of factors affecting the physical activity of youth: analysis of data from the 13th youth health behavior online survey in 2017
Cho, M.-S., & Kim, J.-Y. (2019) · Journal of Exercise Rehabilitation · doi:10.12965/jer.1836616.308 · Cited by 4
“The study of Carson et al. (2016) on Canadian youth reported significant differences in health index between sleep, sitting time and physical activity time.”
Background
Examining Factors of Accelerometer-Measured Sedentary Time in a Sample of Rural Canadian Children
Button, B. L. G., Martin, G., Clark, A. F., Graat, M., & Gilliland, J. (2020) · Children · doi:10.3390/children7110232 · Cited by 4
“This large proportion of time spent in sedentary behaviors is a public health concern, as higher levels of sedentary time have been associated with negative health outcomes including obesity risk markers, lower levels of aerobic fitness [6], and poor cognitive health [7].”
Background
The trend and structure of adolescents’ weekly step count in the context of the Polish school environment
Groffik, D., Frömel, K., Vorlíček, M., & Polechoński, J. (2020) · Annals of Agricultural and Environmental Medicine · doi:10.26444/aaem/126062 · Cited by 4
“In research on adolescents’ PA, most attention has been given to its volume [29, 30], intensity [27], duration and frequency [31]; however, no research has considered long-term trends in adolescents’ PA, and no long-term studies are available on PA trends in Polish adolescents.”
Background
Compositional Data Analysis in Time-Use Epidemiology
Dumuid, D., Pedišić, Ž., Palarea‐Albaladejo, J., Fernández, J. A. M., Hron, K., & Olds, T. (2021) · Springer eBooks · doi:10.1007/978-3-030-71175-7_20 · Cited by 4
Timing of 24-hour movement behaviours: implications for practice, policy and research.
Tomasone, J., Janssen, I., Saunders, T., Duggan, M., Jones, R. J., Brouwers, M., Faulkner, G., Flood, S. M., Lane, K. N., Latimer-Cheung, A., et al. (2022) · Health Promotion and Chronic Disease Prevention in Canada · doi:10.24095/hpcdp.42.4.05 · Cited by 6
“Tomasone, PhD (1); Ian Janssen, PhD (1,2); Travis J.”
BackgroundInfluentialSelf-citation
Associations between adhering to 24-hour movement guidelines and anxiety among adolescents across intersectional identities: KYRBS 2020–2022
Ryu, S., Lee, E., & Gao, Z. (2025) · BMC Public Health · doi:10.1186/s12889-025-24215-9 · Cited by 3
“Within the 24-hour movement paradigm asserting that movement behaviors influence one another [26], our findings may indicate that adolescents who did not achieve adequate sleep may engage in more recreational sedentary screen time [27], increasing their levels of anxiety.”
Research characteristics about the 24-h movement behaviors in children and adolescents: a scoping review
Sejín, J. R. R., Arango-Paternina, C. M., Flórez-Pregonero, A., & Villada, F. A. P. (2025) · BMC Public Health · doi:10.1186/s12889-025-22646-y · Cited by 3
“The most frequent outcomes reported by studies were the adherence to the 24-HBM guidelines ( n = 54) [33, 34, 39, 43, 44, 49–53, 55, 59, 64, 68, 70, 71, 73, 74, 100, 105, 109–111, 117, 121, 125, 129, 132, 135, 142, 154, 155, 167, 173, 183, 186, 189, 193, 195, 199, 201, 213–215, 220–223, 225, 228,…”
Influential
Adherence to 24-hour movement guidelines by long-term health condition in Canadian children and youth
Duggan, L., Lang, J. J., Timmons, B. W., Tucker, P., & Chaput, J. (2025) · Journal of Epidemiology and Population Health · doi:10.1016/j.jeph.2025.203149 · Cited by 4
Self-citation
Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression
Pekaslan, D., & Wagner, C. (2022) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee55066.2022.9882840 · Cited by 3
“Compositional statistical approaches–such as compositional linear regression– are powerful tools for modelling and reasoning about data which captures proportions of a whole [6], [7], [8], [9], [10], [11], [12].”
Method
Exploring key informants’ perceptions of weather-modified recess
Ouellette, C., Martin, G., Hyndman, B., & Button, B. L. G. (2024) · Journal of Adventure Education & Outdoor Learning · doi:10.1080/14729679.2024.2335161 · Cited by 4
“Physical activity during childhood is associated with a multitude of physical, behavioural, and psychological health benefits (Biddle et al., 2019; Carson et al., 2016; Sallis et al., 2000; Tremblay et al., 2011).”
Cross-sectional associations between physical activity and sedentary time with cardiovascular health in children from the ALSPAC study using compositional data analysis
Sansum, K. M., Bond, B., Pulsford, R. M., McManus, A., Agbaje, A. O., Skinner, A. M., & BARKER, A. R. (2025) · Scientific Reports · doi:10.1038/s41598-025-95407-x · Cited by 3
“Carson et al. 19 reported favourable associations for MVPA with a range of CVD outcomes, including BMI, waist circumference, blood pressure, TAG and insulin in 6–17 years, which are consistent with the present study.”
Influential
Physical Fitness and Child Development: Interrelations in Preschool Age
Gavrilova, M., Veraksa, А., Leonov, S., & Musálek, M. (2022) · Early childhood research and education · doi:10.1007/978-3-031-05524-9_7 · Cited by 4
The potential harms of sedentary behaviour on cardiometabolic health are mitigated in highly active adults: a compositional data analysis
Franssen, W. M. A., Jermei, J., Savelberg, H. H. C. M., & Eijnde, B. O. (2023) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-023-00015-7 · Cited by 3
“To date, new approaches as compositional data analysis have been recommended as a methodological analysis that accounts for this compositional approach [14] and has already been used within the field of sedentary behaviour and physical activity research [15].”
Method
Higher Sedentary Behaviour and Not Following Screen Time Guidelines Were Associated With Unfavourable Cardiometabolic Outcomes in Childhood
Nilsson, E., Migueles, J. H., Henriksson, P., Nyström, C. D., & Löf, M. (2025) · Acta Paediatrica · doi:10.1111/apa.70276 · Cited by 4
Lifestyle Behaviors Associated With Body Fat Percent in 9- to 11-Year-Old Children
Swindell, N. J., Berridge, D. M., McNarry, M. A., Mackintosh, K. A., Boddy, L. M., Fairclough, S. J., & Stratton, G. (2021) · Pediatric Exercise Science · doi:10.1123/pes.2020-0010 · Cited by 3
“Given cardio-respiratory fitness 116 is negatively associated with BF (30), BMI (31) and sedentary time (32) and positively 117 associated with physically active (33) it was controlled for in the analysis.”
Background
Energy Intake from Healthy Foods Is Associated with Motor Fitness in Addition to Physical Activity: A Cross-Sectional Study of First-Grade Schoolchildren in Japan
Hatta, N., Tada, Y., Ishikawa‐Takata, K., Furusho, T., Kanehara, R., Hata, T., Hida, A., & Kawano, Y. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031819 · Cited by 3
“Previous studies have reported that 13-year-old children who exercise three or more times per week have improved grip and 50-metre run [3], and that moderate-to-vigorous physical activity (associated with ≥ 3 metabolic equivalents) by school-age and adolescent children is positively correlated with motor fitness [7,17…”
Background
Dietary Intake of Young Male Ice Hockey Players 10–13 Years of Age during a Week-Long Hockey Camp
Vermeulen, T. F., Boville, S. M., Gamble, A. S. D., Bigg, J. L., McCarthy, D. G., Eskedjian, G. S., & Spriet, L. L. (2022) · Nutrients · doi:10.3390/nu14142978 · Cited by 3
“A healthy BMI for these young athletes can be achieved by having a high physical activity, high sleep, and low sedentary behavior in comparison to an unhealthier state of having low physical activity, low sleep, and high sedentary behavior [20].”
BackgroundMethod
Influence of Socioeconomic Status and Stress Over Quality of Sleep: A Systematic ReviewPreprint
Sosso, F. A. E., Jagannath, A., Oliveira, F., Surani, & Mysliwiec, V. (2018) · Preprints.org · doi:10.20944/preprints201810.0641.v1 · Cited by 3
How family sports behavior shapes adolescent sleep: mediating effects in causation
Wu, W., Xie, A., Li, X., & Xun, Y. F. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1518960 · Cited by 2
Adolescent Time Use and Cardiometabolic Health: A Cross-Sectional Compositional Analysis to Explore Associations Between 24-Hour Activity Behaviors and Biomarkers of Cardiometabolic Health
Hayes, G., Browne, L., Dowd, K., MacDonncha, C., Carson, B. P., Purtill, H., Herring, M. P., Connor, E. M. O., O’Gorman, C. S., & Donnelly, A. (2025) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2025.01.020 · Cited by 2
Relationship between self-rated health, sense of coherence and physical activity in a survey of secondary school students: A correlational study
Karácsony, I., & Hideg, G. (2025) · Scientific Reports · doi:10.1038/s41598-025-12686-0 · Cited by 2

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

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

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