24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

International Journal of Behavioral Nutrition and Physical Activity

Natarajan Padmapriya¹  Shiao-Yng Chan²  Yap Seng Chong²  Johan G. Eriksson³  Kok Hian Tan⁴  Fabian Yap⁵  Keith M. Godfrey⁶  Claire Marie Jie Lin Goh⁷  Bozhi Chen⁷  Falk Müller-Riemenschneider⁸  Lynette Pei Chi Shek⁹  Yung Seng Lee⁹  Jonathan Y. Bernard^1,10 

[1] Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, 117549, Singapore, Singapore;Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore;Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, 117549, Singapore, Singapore;Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore;Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 12 Science Drive 2, MD1 Tahir Foundation Building, Level 12, 117549, Singapore, Singapore;Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore;Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland;KK Women’s and Children’s Hospital, Singapore, Singapore;Duke-National University of Singapore, Singapore, Singapore;KK Women’s and Children’s Hospital, Singapore, Singapore;Duke-National University of Singapore, Singapore, Singapore;Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore;Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK;NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK;Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore;Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore;Berlin Institute of Health, Charite University Medical Centre, Berlin, Germany;Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore;Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore;Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, Singapore, Singapore;Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore;Université de Paris, Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, Inrae, F-75004, Paris, France;

关键词: Movement behaviour;    Sleep;    Inactivity;    Sedentary behaviour;    Physical activity;    Children;   

DOI  :  10.1186/s12966-021-01210-y

来源: Springer

【 摘 要 】

BackgroundTime spent in movement behaviours, including physical activity (PA), sedentary behaviour (SB) and sleep, across the 24-h day may have distinct health consequences. We aimed to describe 24-h movement behaviour (24 h-MB) profiles in children and how profile membership changed from age 5.5 to 8 years.MethodsChildren in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort were asked to wear an accelerometer (ActiGraph-GT3X+) on their wrist for seven consecutive days at ages 5.5 and 8 years to measure 24 h-MB patterns. Time spent in night sleep, inactivity (proxy for SB), light PA, moderate PA (MPA), and vigorous PA (VPA) per day were calculated using the R-package GGIR 2.0. Using latent profile analyses (n = 442) we identified 24 h-MB profiles, which were given animal names to convey key characteristics. Latent transition analyses were used to describe the profile membership transition from ages 5.5 to 8 years. Associations with sex and ethnicity were examined.ResultsWe identified four profiles, “Rabbits” (very high-MPA/VPA, low-inactivity and average-night-sleep), “Chimpanzees” (high-MPA, low-inactivity and average-night-sleep), “Pandas” (low-PA, high-inactivity and high-night-sleep) and “Owls” (low-PA, high-inactivity and low-night-sleep), among children at both time points. At ages 5.5 and 8 years, the majority of children were classified into profiles of “Chimpanzees” (51 and 39%, respectively) and “Pandas” (24 and 37%). Half of the sample (49%), particularly “Rabbits”, remained in the same profile at ages 5.5 and 8 years: among children who changed profile the predominant transitions occurred from “Chimpanzees” (27%) and “Owls” (56%) profiles to “Pandas”. Sex, but not ethnicity, was associated with profile membership: compared to girls, boys were more likely to be in the “Rabbits” profile (adjusted OR [95% CI]: 3.6 [1.4, 9.7] and 4.5 [1.8, 10.9] at ages 5.5 and 8 years, respectively) and less likely to be in the “Pandas” profile (0.5 [0.3, 0.9] and 0.4 [0.2, 0.6]) at both ages.ConclusionsWith increasing age about half the children stayed in the same of four 24 h-MB profiles, while the predominant transition for the remaining children was towards lower PA, higher inactivity and longer sleep duration. These findings can aid development and implementation of public health strategies to promote better health.Study registrationThis study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.

【 授权许可】

CC BY