A systematic review of the association between 24-hour movement behavior and obesity in children and adolescents

ZHANG Ting; LI Hongjuan; ZHANG Zhaohua; GAO Yanhui

doi:10.16835/j.cnki.1000-9817.2023.01.005

Volume 44 Issue 1

Jan. 2023

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ZHANG Ting, LI Hongjuan, ZHANG Zhaohua, GAO Yanhui. A systematic review of the association between 24-hour movement behavior and obesity in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(1): 23-27. doi: 10.16835/j.cnki.1000-9817.2023.01.005

Citation:

ZHANG Ting, LI Hongjuan, ZHANG Zhaohua, GAO Yanhui. A systematic review of the association between 24-hour movement behavior and obesity in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(1): 23-27. doi: 10.16835/j.cnki.1000-9817.2023.01.005

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A systematic review of the association between 24-hour movement behavior and obesity in children and adolescents

doi: 10.16835/j.cnki.1000-9817.2023.01.005

1.
School of Sport Science/Key Laboratory of the Ministry of Education of Exercise and Physical Fitness, Beijing Sport University, Beijing(100084), China

Received Date: 2022-04-08
Rev Recd Date: 2022-06-20

Available Online: 2023-02-06

Publish Date: 2023-01-25

Abstract

Abstract

Objective To systematically review the associations of physical activity (PA), sedentary behavior (SB) and sleep with obesity, as well as isotemporal substitution effects among behaviors, determined with compositional data analysis methods, to provide a reference for obesity interventions among children and adolescents. Methods Studies in the CNKI, Wanfang, PubMed, SPORTDiscus, Web of Science and Medline databases were searched from January 1, 2014 to May 1, 2022. Two experienced reviewers independently completed document screening, data extraction and quality assessment. Results Sixteen articles were included, with a methodological quality score range of 7-12 points. Moderate to vigorous physical activity (MVPA), sleep and obesity were negatively correlated, and substituting other behaviors with MVPA decreased obesity risk. The substitution time ranged from 1.5 min/day to 60 min/day. Light physical activity(LPA) and SB were positively correlated with obesity. Conclusion MVPA is the primary focus of obesity interventions in children and adolescents, and extra 60 min of MVPA per week on the existing level of physical activity may be the minimum necessary to decrease the risk of obesity.
- Motor activity,
- Obesity,
- Child,
- Adolescent,
- Compositional data analysis

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References(28)

References

[1]	TREMBLAY M S, LEBLANC A G, KHO M E, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth[J]. Int J Behav Nutr Phys Act, 2011, 8: 98. doi: 10.1186/1479-5868-8-98
[2]	CARSON V, HUNTER S, KUZIK N, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update[J]. Appl Physiol Nutr Metab, 2016, 41(6 Suppl 3): S240-S265.
[3]	CHAPUT J P, LEDUC G, BOYER C, et al. Objectively measured physical activity, sedentary time and sleep duration: independent and combined associations with adiposity in Canadian children[J]. Nutr Diabetes, 2014, 4(6): e117. doi: 10.1038/nutd.2014.14
[4]	CHAPUT J P, SAUNDERS T J, CARSON V. Interactions between sleep, movement and other non-movement behaviours in the pathogenesis of childhood obesity[J]. Obes Rev, 2017, 18(Suppl 1): 7-14.
[5]	PEDISIC Z, DUMUID D, OLDS T S. 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[J]. Kinesiology, 2017, 49(2): 252-269.
[6]	ROLLO S, ANTSYGINA O, TREMBLAY M S. The whole day matters: understanding 24-hour movement guideline adherence and relationships with health indicators across the lifespan[J]. J Sport Health Sci, 2020, 9(6): 493-510. doi: 10.1016/j.jshs.2020.07.004
[7]	JANSSEN I, CLARKE A E, CARSON V, et al. A systematic review of compositional data analysis studies examining associations between sleep, sedentary behaviour, and physical activity with health outcomes in adults[J]. Appl Physiol Nutr Metab, 2020, 45(10 Suppl 2): S248-S257.
[8]	MOHER D, LIBERATI A, TETZLAFF J, et al. Preferred reporting items for systematic reviews and Meta-analyses: the PRISMA Statement[J]. Open Med, 2009, 3(3): e123-130.
[9]	MCMICHAN L, DICK M, SKELTON D A, et al. Sedentary behaviour and bone health in older adults: a systematic review[J]. Osteoporos Int, 2021, 32(8): 1487-1497. doi: 10.1007/s00198-021-05918-2
[10]	RUBÍN L, GABA A, PELCLOVA J, et al. Changes in sedentary behavior patterns during the transition from childhood to adolescence and their association with adiposity: a prospective study based on compositional data analysis[J]. Arch Public Health, 2022, 80(1): 1. doi: 10.1186/s13690-021-00755-5
[11]	TAYLOR R W, HASZARD J J, FARMER V L, et al. Do differences in compositional time use explain ethnic variation in the prevalence of obesity in children?Analyses using 24-hour accelerometry[J]. Int J Obes(Lond), 2020, 44(1): 94-103. doi: 10.1038/s41366-019-0377-1
[12]	CARSON V, TREMBLAY M S, CHAPUT J P, et al. Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses[J]. Appl Physiol Nutr Metab, 2016, 41(6 Suppl 3): S294-S302.
[13]	DUMUID D, STANFORD T E, MARTIN-FERNANDEZ J A, et al. Compositional data analysis for physical activity, sedentary time and sleep research[J]. Stat Methods Med Res, 2018, 27(12): 3726-3738. doi: 10.1177/0962280217710835
[14]	DUMUID D, STANFORD T E, PEDISIC Z, et al. Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children: a compositional data analysis approach[J]. BMC Public Health, 2018, 18(1): 311. doi: 10.1186/s12889-018-5207-1
[15]	FAIRCLOUGH S J, DUMUID D, TAYLOR S, et al. Fitness, fatness and the reallocation of time between children's daily movement behaviours: an analysis of compositional data[J]. Int J Behav Nutr Phys Act, 2017, 14(1): 64. doi: 10.1186/s12966-017-0521-z
[16]	GÁBA A, DYGRYN J, STEFELOVA N, et al. Replacing school and out-of-school sedentary behaviors with physical activity and its associations with adiposity in children and adolescents: a compositional isotemporal substitution analysis[J]. Environ Health Prev Med, 2021, 26(1): 16. doi: 10.1186/s12199-021-00932-6
[17]	GÁBA A, PEDISIC Z, STEFELOVA N, et al. Sedentary behavior patterns and adiposity in children: a study based on compositional data analysis[J]. BMC Pediatr, 2020, 20(1): 147. doi: 10.1186/s12887-020-02036-6
[18]	HEALY S, BREWER B, GARCIA J, et al. Sweat, sit, sleep: a compositional analysis of 24-hour movement behaviors and body mass index among children with autism spectrum disorder[J]. Autism Res, 2021, 14(3): 545-550. doi: 10.1002/aur.2434
[19]	ŠTEFELOVÁ N, DYGRYN J, HRON K, et al. Robust compositional analysis of physical activity and sedentary behaviour data[J]. Int J Environ Res Public Health, 2018, 15(10): 2248. doi: 10.3390/ijerph15102248
[20]	TALARICO R, JANSSEN I. Compositional associations of time spent in sleep, sedentary behavior and physical activity with obesity measures in children[J]. Int J Obes(Lond), 2018, 42(8): 1508-1514. doi: 10.1038/s41366-018-0053-x
[21]	ZHANG T, LI H, LI C, et al. The compositional impacts of 2 distinct 24-hour movement behavior change patterns on physical fitness in Chinese adolescents[J]. J Phys Act Health, 2022, 19(4): 284-291. doi: 10.1123/jpah.2021-0778
[22]	李东. 郑州新天地小学9~12岁儿童上学日活动行为与肥胖和血压的相关研究[D]. 武汉: 华中师范大学, 2020. LI D. Correlation of movement behaviors with obesity and blood pressure of 9-12-year-old children at Xintiandi primary school in Zhengzhou: compositional data analysis[D]. Wuhan: Central China Normal University, 2020. (in Chinese)
[23]	CARSON V, TREMBLAY M S, CHAPUT J P, et al. Compositional analyses of the associations between sedentary time, different intensities of physical activity, and cardiometabolic biomarkers among children and youth from the United States[J]. PLoS One, 2019, 14(7): e0220009. doi: 10.1371/journal.pone.0220009
[24]	DUMUID D, WAKE M, CLIFFORD S, et al. The association of the body composition of children with 24-hour activity composition[J]. J Pediatr, 2019, 208: 43-49. doi: 10.1016/j.jpeds.2018.12.030
[25]	FAIRCLOUGH S J, DUMUID D, MACKINTOSH K A, et al. Adiposity, fitness, health-related quality of life and the reallocation of time between children's school day activity behaviours: a compositional data analysis[J]. Prev Med Rep, 2018, 11: 254-261. doi: 10.1016/j.pmedr.2018.07.011
[26]	CHASTIN S F, PALAREA-ALBALADEJO J, DONTJE M L, et al. Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: a novel compositional data analysis approach[J]. PLoS One, 2015, 10(10): e0139984. doi: 10.1371/journal.pone.0139984
[27]	DUMUID D, PEDISIC Z, STANFORD T E, et al. The compositional isotemporal substitution model: a method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour[J]. Stat Methods Med Res, 2019, 28(3): 846-857. doi: 10.1177/0962280217737805
[28]	EVENSON K R, CATELLIER D J, GILL K, et al. Calibration of two objective measures of physical activity for children[J]. J Sports Sci, 2008, 26(14): 1557-1565. doi: 10.1080/02640410802334196