Selected publications relevant to time-use epidemiology:

Merkus, S. L., Mathiassen, S. E., Lunde, L. -., Koch, M., Wærsted, M., Forsman, M., . . . Veiersted, K. B. (2020). Can a metric combining arm elevation and trapezius muscle activity predict neck/shoulder pain? A prospective cohort study in construction and healthcare. International Archives of Occupational and Environmental Health. doi:10.1007/s00420-020-01610-w

Januario, L. B., Stevens, M. L., Mathiassen, S. E., Holtermann, A., Karstad, K., & Hallman, D. M. (2020). Combined effects of physical behavior compositions and psychosocial resources on perceived exertion among eldercare workers. Annals of Work Exposures and Health, 64(9), 923-935. doi:10.1093/annweh/wxaa079

Matricciani, L., Dumuid, D., Paquet, C., Fraysse, F., Wang, Y., Baur, L. A., Juonala, M., Ranganathan, S., Lycett K., Kerr, J. A., Burgner, D., Wake, M., Olds, T. (2020). Sleep and cardiometabolic health in children and adults: examining sleep as a component of the 24-hour day. Sleep Medicine. doi:10.1016/j.sleep.2020.12.001

Chaput, J. -., Dutil, C., Featherstone, R., Ross, R., Giangregorio, L., Saunders, T. J., . . . Carrier, J. (2020). Sleep duration and health in adults: An overview of systematic reviews. Applied Physiology, Nutrition, and Metabolism, 45(10), S218-S231. doi:10.1139/apnm-2020-0034

Chaput, J. -., Dutil, C., Featherstone, R., Ross, R., Giangregorio, L., Saunders, T. J., . . . Carrier, J. (2020). Sleep timing, sleep consistency, and health in adults: A systematic review. Applied Physiology, Nutrition, and Metabolism, 45(10), S232-S247. doi:10.1139/apnm-2020-0032

Faught, E., Walters, A. J., Latimer-Cheung, A. E., Faulkner, G., Jones, R., Duggan, M., . . . Tomasone, J. R. (2020). Optimal messaging of the canadian 24-hour movement guidelines for adults aged 18-64 years and adults aged 65 years and older. Applied Physiology, Nutrition, and Metabolism, 45(10), S125-S150. doi:10.1139/apnm-2020-0494

Janssen, I., Clarke, A. E., Carson, V., Chaput, J. -., Giangregorio, L. M., Kho, M. E., . . . Chastin, S. F. M. (2020). A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults. Applied Physiology, Nutrition, and Metabolism, 45(10), S248-S257. doi:10.1139/apnm-2020-0160

Ross, R., Chaput, J. -., Giangregorio, L. M., Janssen, I., Saunders, T. J., Kho, M. E., . . . Tremblay, M. S. (2020). Canadian 24-hour movement guidelines for adults aged 18-64 years and adults aged 65 years or older: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism, 45(10), S57-S102. doi:10.1139/apnm-2020-0467

Ross, R., & Tremblay, M. (2020). Introduction to the canadian 24-hour movement guidelines for adults aged 18-64 years and adults aged 65 years or older: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition, and Metabolism, 45(10), v-xi. doi:10.1139/apnm-2020-0843

Saunders, T. J., McIsaac, T., Douillette, K., Gaulton, N., Hunter, S., Rhodes, R. E., . . . Healy, G. N. (2020). Sedentary behaviour and health in adults: An overview of systematic reviews. Applied Physiology, Nutrition, and Metabolism, 45(10), S197-S217. doi:10.1139/apnm-2020-0272

Tomasone, J. R., Flood, S. M., Latimer-Cheung, A. E., Faulkner, G., Duggan, M., Jones, R., . . . Brouwers, M. C. (2020). Knowledge translation of the canadian 24-hour movement guidelines for adults aged 18-64 years and adults aged 65 years or older: A collaborative movement guideline knowledge translation process. Applied Physiology, Nutrition, and Metabolism, 45(10), S103-S124. doi:10.1139/apnm-2020-0601

Tomasone, J. R., Kauffeldt, K. D., Morgan, T. L., Magor, K. W., Latimer-Cheung, A. E., Faulkner, G., . . . Ross, R. (2020). Dissemination and implementation of national physical activity, sedentary behaviour, and/or sleep guidelines among community-dwelling adults aged 18 years and older: A systematic scoping review and suggestions for future reporting and research. Applied Physiology, Nutrition, and Metabolism, 45(10), S258-S283. doi:10.1139/apnm-2020-0251

Amagasa, S., Inoue, S., Murayama, H., Fujiwara, T., Kikuchi, H., Fukushima, N., Machida, M., Chastin, S., Owen, N., & Shobugawa, Y. (2020). Changes in rural older adults’ sedentary and physically-active behaviors between a non-snowfall and a snowfall season: compositional analysis from the NEIGE study. BMC Public Health, 20(1248). doi:10.1186/s12889-020-09343-8

Gupta, N., Lund Rasmussen, C., Holtermann, A., Mathiassen, S.E. (2020). Time-based data in occupational studies: The whys, the hows, and some remaining challenges in compositional data analysis (CoDA). Annals of Work Exposures and Health, 1-8. doi: 10.1093/annweh/wxaa056

Johansson, E., Mathiassen, S. E., Lund Rasmusse, C., & Hallman, D. M. (2020). Sitting, standing and moving during work and leisure among male and female office workers of different age: A compositional data analysis. BMC Public Health, 20(826). doi:10.1186/s12889-020-08909-w

Dumuid, D., Pedišić, Ž., Palarea-Albaladejo, J., Martín-Fernández, J. A., Hron, K., & Olds, T. (2020). Compositional data analysis in time-use epidemiology: What, why, how. International Journal of Environmental Research and Public Health, 17(7). doi:10.3390/ijerph17072220

Powell, C., Browne, L. D., Carson, B. P., Dowd, K. P., Perry, I. J., Kearney, P. M., . . . Donnelly, A. E. (2020). Use of compositional data analysis to show estimated changes in cardiometabolic health by reallocating time to light-intensity physical activity in older adults. Sports Medicine, 50(1), 205-217. doi:10.1007/s40279-019-01153-2

von Rosen, P., Dohrn, I.M., & Hagströmer, M. (2020). Association between physical activity and all-cause mortality: A 15-year follow-up using a compositional data analysis. Scandinavian Journal of Medicine and Science in Sports, 30(1), 100-107. doi:10.1111/sms.13561

Tremblay, M. S. (2020). Introducing 24-hour movement guidelines for the early years: A new paradigm gaining momentum. Journal of Physical Activity and Health, 17(1), 92-95. doi:10.1123/jpah.2019-0401

Pelclová, J., Štefelová, N., Dumuid, D., Pedišić, Ž., Hron, K., Gába, A., . . . Tlučáková, L. (2020). Are longitudinal reallocations of time between movement behaviours associated with adiposity among elderly women? A compositional isotemporal substitution analysis. International Journal of Obesity, doi:10.1038/s41366-019-0514-x

Coenen, P., Mathiassen, S. E., van der Beek, A. J., & Hallman, D. M. (2020). Correction of bias in self-reported sitting time among office workers – a study based on compositional data analysis. Scandinavian Journal of Work, Environment and Health, 46(1), 32-42. doi:10.5271/sjweh.3827

Meredith-Jones, K., Galland, B., Haszard, J., Gray, A., Sayers, R., Hanna, M., . . . Taylor, R. (2019). Do young children consistently meet 24-h sleep and activity guidelines? A longitudinal analysis using actigraphy. International Journal of Obesity, 43(12), 2555-2564. doi:10.1038/s41366-019-0432-y

Dumuid, D., Wake, M., Clifford, S., Burgner, D., Carlin, J. B., Mensah, F. K., . . . Olds, T. (2019). The association of the body composition of children with 24-hour activity composition. Journal of Pediatrics, 208, 43-49.e9. doi:10.1016/j.jpeds.2018.12.030

Foley, L., Dumuid, D., Atkin, A. J., Wijndaele, K., Ogilvie, D., & Olds, T. (2019). Cross-sectional and longitudinal associations between active commuting and patterns of movement behaviour during discretionary time: A compositional data analysis. PLoS ONE, 14(8) doi:10.1371/journal.pone.0216650

Gupta, N., Hallman, D. M., Dumuid, D., Vij, A., Rasmussen, C. L., Jørgensen, M. B., & Holtermann, A. (2019). Movement behavior profiles and obesity: A latent profile analysis of 24-h time-use composition among Danish workers. International Journal of Obesity, doi:10.1038/s41366-019-0419-8

Memon, A. R., Vandelanotte, C., Olds, T., Duncan, M. J., & Vincent, G. E. (2019). Research combining physical activity and sleep: A bibliometric analysis. Perceptual and Motor Skills, doi:10.1177/0031512519889780

Carson, V., Tremblay, M. S., Chaput, J. -., McGregor, D., & Chastin, S. (2019). Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the united states. PLoS ONE, 14(7) doi:10.1371/journal.pone.0220009

Rhodes, R. E., Spence, J. C., Berry, T., Faulkner, G., Latimer-Cheung, A. E., O’Reilly, N., . . . Vanderloo, L. (2019). Parental support of the canadian 24-hour movement guidelines for children and youth: Prevalence and correlates. BMC Public Health, 19(1) doi:10.1186/s12889-019-7744-7

Thivel, D., Tremblay, M. S., Katzmarzyk, P. T., Fogelholm, M., Hu, G., Maher, C., . . . Chaput, J. -. (2019). Associations between meeting combinations of 24-hour movement recommendations and dietary patterns of children: A 12-country study. Preventive Medicine, 118, 159-165. doi:10.1016/j.ypmed.2018.10.025

Carson, V., Tremblay, M. S., Chaput, J. -., McGregor, D., & Chastin, S. (2019). Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the united states. PLoS ONE, 14(7) doi:10.1371/journal.pone.0220009

DeSmet, A., De Bourdeaudhuij, I., Chastin, S., Crombez, G., Maddison, R., & Cardon, G. (2019). Adults’ preferences for behavior change techniques and engagement features in a mobile app to promote 24-hour movement behaviors: Cross-sectional survey study. Journal of Medical Internet Research, 21(12) doi:10.2196/15707

DeSmet, A., De Bourdeaudhuij, I., Chastin, S., Crombez, G., Maddison, R., & Cardon, G. (2019). Adults’ preferences for behavior change techniques and engagement features in a mobile app to promote 24-hour movement behaviors: Cross-sectional survey study. JMIR mHealth and uHealth, 7(12) doi:10.2196/15707

McGregor, D. E., Palarea-Albaladejo, J., Dall, P. M., del Pozo Cruz, B., & Chastin, S. F. M. (2019). Compositional analysis of the association between mortality and 24-hour movement behaviour from NHANES. European Journal of Preventive Cardiology, doi:10.1177/2047487319867783

Guerrero, M. D., Barnes, J. D., Walsh, J. J., Chaput, J. -., Tremblay, M. S., & Goldfield, G. S. (2019). 24-hour movement behaviors and impulsivity. Pediatrics, 144(3) doi:10.1542/peds.2019-0187

McGregor, D. E., Palarea-Albaladejo, J., Dall, P. M., Hron, K., & Chastin, S. F. M. (2019). Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns. Statistical Methods in Medical Research, doi:10.1177/0962280219864125

McGregor, D. E., Palarea-Albaladejo, J., Dall, P. M., Stamatakis, E., & Chastin, S. F. M. (2019). Differences in physical activity time-use composition associated with cardiometabolic risks. Preventive Medicine Reports, 13, 23-29. doi:10.1016/j.pmedr.2018.11.006

Rodríguez-Gómez, I., Mañas, A., Losa-Reyna, J., Rodríguez-Mañas, L., Chastin, S. F. M., Alegre, L. M., . . . Ara, I. (2019). Compositional influence of movement behaviors on bone health during aging. Medicine and Science in Sports and Exercise, 51(8), 1736-1744. doi:10.1249/MSS.0000000000001972

Rodríguez-Gómez, I., Mañas, A., Losa-Reyna, J., Rodríguez-Mañas, L., Chastin, S. F. M., Alegre, L. M., . . . Ara, I. (2019). The impact of movement behaviors on bone health in elderly with adequate nutritional status: Compositional data analysis depending on the frailty status. Nutrients, 11(3) doi:10.3390/nu11030582

Lewthwaite, H., Olds, T., Williams, M. T., Effing, T. W., & Dumuid, D. (2019). Use of time in chronic obstructive pulmonary disease: Longitudinal associations with symptoms and quality of life using a compositional analysis approach. PLoS ONE, 14(3) doi:10.1371/journal.pone.0214058

Mellow, M. L., Dumuid, D., Thacker, J. S., Dorrian, J., & Smith, A. E. (2019). Building your best day for healthy brain aging—The neuroprotective effects of optimal time use. Maturitas, 125, 33-40. doi:10.1016/j.maturitas.2019.04.204

Olds, T., Maher, C., & Dumuid, D. (2019). Life on holidays: Differences in activity composition between school and holiday periods in australian children. BMC Public Health, 19 doi:10.1186/s12889-019-6765-6

Liangruenrom, N., Craike, M., Dumuid, D., Biddle, S. J. H., Tudor-Locke, C., Ainsworth, B., . . . Pedisic, Z. (2019). Standardised criteria for classifying the international classification of activities for time-use statistics (ICATUS) activity groups into sleep, sedentary behaviour, and physical activity. International Journal of Behavioral Nutrition and Physical Activity, 16(1) doi:10.1186/s12966-019-0875-5

Hallman, D. M., Mathiassen, S. E., van der Beek, A. J., Jackson, J. A., & Coenen, P. (2019). Calibration of self-reported time spent sitting, standing and walking among office workers: A compositional data analysis. International Journal of Environmental Research and Public Health, 16(17) doi:10.3390/ijerph16173111

Coenen P., Mathiassen S. E., van der Beek A. J., Hallman D. M. (2019). Correction of bias in self-reported sitting time among office workers – a study based on compositional data analysis. Scandinavian Journal of Work, Environment & Health, Epub ahead of print doi:10.5271/sjweh.3827

Chau, J. Y., Gomersall, S. R., Van Der Ploeg, H. P., & Milton, K. (2019). The evolution of time use approaches for understanding activities of daily living in a public health context. BMC Public Health, 19 doi:10.1186/s12889-019-6759-4

Dumuid, D., Wake, M., Clifford, S., Burgner, D., Carlin, J. B., Mensah, F. K., . . . Olds, T. (2019). The association of the body composition of children with 24-hour activity composition. Journal of Pediatrics, 208, 43-49.e9. doi:10.1016/j.jpeds.2018.12.030

Gupta, N., Korshøj, M., Dumuid, D., Coenen, P., Allesøe, K., & Holtermann, A. (2019). Daily domain-specific time-use composition of physical behaviors and blood pressure. International Journal of Behavioral Nutrition and Physical Activity, 16(1) doi:10.1186/s12966-018-0766-1

Mellow, M. L., Dumuid, D., Thacker, J. S., Dorrian, J., & Smith, A. E. (2019). Building your best day for healthy brain aging—The neuroprotective effects of optimal time use. Maturitas, 125, 33-40. doi:10.1016/j.maturitas.2019.04.204

Rasmussen, C. L., Palarea-Albaladejo, J., Korshøj, M., Gupta, N., Nabe-Nielsen, K., Holtermann, A., & Jørgensen, M. B. (2019). Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data. PLoS ONE, 14(6) doi:10.1371/journal.pone.0217024

Taylor, R. W., Haszard, J. J., Farmer, V. L., Richards, R., Te Morenga, L., Meredith-Jones, K., & Mann, J. I. (2019). Do differences in compositional time use explain ethnic variation in the prevalence of obesity in children? analyses using 24-hour accelerometry. International Journal of Obesity, doi:10.1038/s41366-019-0377-1

Zhao, J., Mackay, L., Chang, K., Mavoa, S., Stewart, T., Ikeda, E., Donnellan, N., & Smith, M. (2019). Visualising Combined Time Use Patterns of Children’s Activities and Their Association with Weight Status and Neighbourhood Context. International Journal of Environmental Research and Public Health, 16(5), 897, https://doi.org/10.3390/ijerph16050897

Debache, I., Bergouignan, A., Chaix, B., Sneekes, E. M., Thomas, F., & Sueur, C. (2019). Associations of Sensor-Derived Physical Behavior with Metabolic Health: A Compositional Analysis in the Record Multisensor Study. International Journal of Environmental Research and Public Health, 16(5), doi.org/10.3390/ijerph16050741

Olds, T., Burton, N. W., Sprod, J., Maher, C., Ferrar, K., Brown, W. J., . . . Dumuid, D. (2018). One day you’ll wake up and won’t have to go to work: The impact of changes in time use on mental health following retirement. PLoS ONE, 13(6) doi:10.1371/journal.pone.0199605

Biddle, G. J. H., Edwardson, C. L., Henson, J., Davies, M. J., Khunti, K., Rowlands, A. V., & Yates, T. (2018). Associations of physical behaviours and behavioural reallocations with markers of metabolic health: A compositional data analysis. International Journal of Environmental Research and Public Health, 15(10) doi:10.3390/ijerph15102280

Fairclough, S. J., Dumuid, D., Mackintosh, K. A., Stone, G., Dagger, R., Stratton, G., . . . Boddy, L. M. (2018). Adiposity, fitness, health-related quality of life and the reallocation of time between children’s school day activity behaviours: A compositional data analysis. Preventive Medicine Reports, 11, 254-261. doi:10.1016/j.pmedr.2018.07.011

Chaput, J-P., Olds, T., & Tremblay, M.S. (2018). Public health guidelines on sedentary behaviour are important and needed: a provisional benchmark is better than no benchmark at all. British Journal of Sports Medicine, Epub ahead of print, doi: 10.1136/bjsports-2018-099964

Štefelová, N., Dygrýn, J., Hron, K., Gába, A., Rubín, L., & Palarea-Albaladejo, J. (2018). Robust compositional analysis of physical activity and sedentary behaviour data. International Journal of Environmental Research and Public Health, 15(10), doi:10.3390/ijerph15102248

Rodríguez-Gómez, I., Mañas, A., Losa-Reyna, J., Rodríguez-Mañas, L., Chastin, S. F. M., Alegre, L. M., . . . Ara, I. (2018). Associations between sedentary time, physical activity and bone health among older people using compositional data analysis. PLoS ONE, 13(10), doi:10.1371/journal.pone.0206013

Janurek, J., Hadi, S. A., Mojzisch, A., & Häusser, J. A. (2018). The association of the 24 hour distribution of time spent in physical activity, work, and sleep with emotional exhaustion. International Journal of Environmental Research and Public Health, 15(9), doi:10.3390/ijerph15091927

Duncan, S., Stewart, T., Mackay, L., Neville, J., Narayanan, A., Walker, C., Berry, S., Morton, S. (2018). Wear-Time Compliance with a Dual-Accelerometer System for Capturing 24-h Behavioural Profiles in Children and Adults. International Journal of Environmental Research and Public Health, 15(7), 1296. doi:10.3390/ijerph15071296

Lund Rasmussen, C., Palarea-Albaladejo, J., Bauman, A., Gupta, N., Nabe-Nielsen, K., Jørgensen, M.B., & Holtermann, A. (2018). Does Physically Demanding Work Hinder a Physically Active Lifestyle in Low Socioeconomic Workers? A Compositional Data Analysis Based on Accelerometer Data. International Journal of Environmental Research and Public Health, 15(7), 1306. doi:10.3390/ijerph15071306

Gupta, N., Dumuid, D., Korshøj, M., Jørgensen, M.B., Søgaard, K., & Holtermann, A. (2018). Is Daily Movement Behaviors’ Composition Related to Blood Pressure in Working Adults?. Medicine & Science in Sports & Exercise, doi:10.1249/MSS.0000000000001680

Gupta, N., Mathiassen, S. E., Mateu-Figueras, G., Heiden, M., Hallman, D. M., Jørgensen, M. B., & Holtermann, A. (2018). A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity. International Journal of Behavioral Nutrition and Physical Activity, 15(1) doi:10.1186/s12966-018-0685-1

Talarico, R., & Janssen, I. (2018). Compositional associations of time spent in sleep, sedentary behavior and physical activity with obesity measures in children. International Journal of Obesity, 1-7. doi:10.1038/s41366-018-0053-x

Winkler, E. A. H., Chastin, S., Eakin, E. G., Owen, N., Lamontagne, A. D., Moodie, M., . . . Healy, G. N. (2018). Cardiometabolic impact of changing sitting, standing, and stepping in the workplace. Medicine and Science in Sports and Exercise, 50(3), 516-524. doi:10.1249/MSS.0000000000001453

Dumuid, D., Lewis, L. K., Olds, T. S., Maher, C., Bondarenko, C., & Norton, L. (2018). Relationships between older adults’ use of time and cardio-respiratory fitness, obesity and cardio-metabolic risk: A compositional isotemporal substitution analysis. Maturitas, 110, 104-110. doi:10.1016/j.maturitas.2018.02.003

Taylor, R. W., Haszard, J. J., Meredith-Jones, K. A., Galland, B. C., Heath, A. -. M., Lawrence, J., . . . Taylor, B. J. (2018). 24-h movement behaviors from infancy to preschool: Cross-sectional and longitudinal relationships with body composition and bone health. International Journal of Behavioral Nutrition and Physical Activity, 15(1) doi:10.1186/s12966-018-0753-6

Dumuid, D., Maher, C., Lewis, L. K., Stanford, T. E., Martín Fernández, J. A., Ratcliffe, J., . . . Olds, T. (2018). Human development index, children’s health-related quality of life and movement behaviors: A compositional data analysis. Quality of Life Research, 27(6), 1473-1482. doi:10.1007/s11136-018-1791-x

Dumuid, D., Stanford, T. E., Pedišić, Ž., Maher, C., Lewis, L. K., Martín-Fernández, J. -., . . . Olds, T. (2018). Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children: A compositional data analysis approach. BMC Public Health, 18(1) doi:10.1186/s12889-018-5207-1

Foley, L., Dumuid, D., Atkin, A. J., Olds, T., & Ogilvie, D. (2018). Patterns of health behaviour associated with active travel: A compositional data analysis. International Journal of Behavioral Nutrition and Physical Activity, 15(1) doi:10.1186/s12966-018-0662-8

Hunt, T., Williams, M. T., Olds, T. S., & Dumuid, D. (2018). Patterns of time use across the chronic obstructive pulmonary disease severity spectrum. International Journal of Environmental Research and Public Health, 15(3) doi:10.3390/ijerph15030533

Matricciani, L., Bin, Y. S., Lallukka, T., Kronholm, E., Wake, M., Paquet, C., . . . Olds, T. (2018). Rethinking the sleep-health link. Sleep Health, doi:10.1016/j.sleh.2018.05.004

Carson, V., Tremblay, M. S., & Chastin, S. F. M. (2017). Cross-sectional associations between sleep duration, sedentary time, physical activity, and adiposity indicators among canadian preschool-aged children using compositional analyses. BMC Public Health, 17 doi:10.1186/s12889-017-4852-0

Wong, M., Olds, T., Gold, L., Lycett, K., Dumuid, D., Muller, J., . . . Wake, M. (2017). Time-use patterns and health-related quality of life in adolescents. Pediatrics, 140(1) doi:10.1542/peds.2016-3656

Dumuid, D., Pedišić, Z., Stanford, T. E., Martín-Fernández, J. A., Hron, K., Maher, C., . . . Olds, T. (2017). The Compositional Isotemporal Substitution Model: A method for estimating changes in a health outcome for reallocation of time between sleep, sedentary behaviour, and physical activity. Statistical Methods in Medical Research, doi:10.1177/0962280217737805

Pedišić, Ž., Dumuid, D., & Olds, T. (2017). Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology, 49(2), 1-18.

Dumuid, D., Stanford, T. E., Martin-Fernandez, J. A., Pedisic, Z., Maher, C. A., Lewis, L. K., . . . Olds, T. (2017). Compositional data analysis for physical activity, sedentary time and sleep research. Statistical Methods in Medical Research. doi:10.1177/0962280217710835

Fairclough, S. J., Dumuid, D., Taylor, S., Curry, W., McGrane, B., Stratton, G., . . . Olds, T. (2017). Fitness, fatness and the reallocation of time between children’s daily movement behaviours: an analysis of compositional data. International Journal of Behavioral Nutrition and Physical Activity, 14(64), 1-12. doi:10.1186/s12966-017-0521-z

Dumuid, D., Olds, T., Martín-Fernández, J. A., Lewis, L. K., Cassidy, L., & Maher, C. (2017). Academic performance and lifestyle behaviors in australian school children: A cluster analysis. Health Education & Behavior, 1-10. doi:10.1177/10901981176995

Carson, V., Lee, E. -., Hewitt, L., Jennings, C., Hunter, S., Kuzik, N., . . . Tremblay, M. S. (2017). Systematic review of the relationships between physical activity and health indicators in the early years (0-4 years). BMC Public Health, 17 doi:10.1186/s12889-017-4860-0

Kuzik, N., Poitras, V. J., Tremblay, M. S., Lee, E. -., Hunter, S., & Carson, V. (2017). Systematic review of the relationships between combinations of movement behaviours and health indicators in the early years (0-4 years). BMC Public Health, 17 doi:10.1186/s12889-017-4851-1

Lee, E., Hesketh, K. D., Hunter, S., Kuzik, N., Rhodes, R. E., Rinaldi, C. M., . . . Carson, V. (2017). Meeting new canadian 24-hour movement guidelines for the early years and associations with adiposity among toddlers living in Edmonton, Canada. BMC Public Health, 17 doi:10.1186/s12889-017-4855-x

Dumuid, D., Olds, T., Lewis, L. K., Martin-Fernández, J. A., Katzmarzyk, P. T., Barreira, T., . . . Maher, C. (2017). Health-related quality of life and lifestyle behavior clusters in school-aged children from 12 Countries. Journal of Pediatrics, 183(e2), 178-183. doi:10.1016/j.jpeds.2016.12.048

Dumuid, D., Olds, T., Lewis, L. K., Martin-Fernández, J. A., Barreira, T., Broyles, S., . . . Maher, C. (2016). The adiposity of children is associated with their lifestyle behaviours: A cluster analysis of school-aged children from 12 nations. Pediatric Obesity. doi:10.1111/ijpo.12196

Tremblay, M. S., Carson, V., Chaput, J. P., Connor Gorber, S., Dinh, T., Duggan, M., . . . Zehr, L. (2016). Canadian 24-hour movement guidelines for children and youth: An integration of physical activity, sedentary behaviour, and sleep. Applied Physiology, Nutrition and Metabolism, 41(6), S311-S327. doi:10.1139/apnm-2016-0151

Carson, V., Tremblay, M. S., Chaput, J. P., & Chastin, S. F. M. (2016). Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Applied Physiology, Nutrition and Metabolism, 41(6), S294-S302. doi:10.1139/apnm-2016-0026

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