Relationship between 24-hour movement behavior and obesity indicators in children and adolescents

WANG Rongjia; WU Baoai; GAO Yanhui; LI Hongjuan; ZHANG Ting

doi:10.16835/j.cnki.1000-9817.2023.01.006

Volume 44 Issue 1

Jan. 2023

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WANG Rongjia, WU Baoai, GAO Yanhui, LI Hongjuan, ZHANG Ting. Relationship between 24-hour movement behavior and obesity indicators in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(1): 28-31. doi: 10.16835/j.cnki.1000-9817.2023.01.006

Citation:

WANG Rongjia, WU Baoai, GAO Yanhui, LI Hongjuan, ZHANG Ting. Relationship between 24-hour movement behavior and obesity indicators in children and adolescents[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(1): 28-31. doi: 10.16835/j.cnki.1000-9817.2023.01.006

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Relationship between 24-hour movement behavior and obesity indicators in children and adolescents

doi: 10.16835/j.cnki.1000-9817.2023.01.006

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: 2022-06-11
Rev Recd Date: 2022-10-09

Available Online: 2023-02-06

Publish Date: 2023-01-25

Abstract

Abstract

Objective The method of compositional data analysis was used to explore the relationship between 24-hour movement behavior and obesity indicators, and to examine the difference of quantitative effect on obesity indicators when one behavior replaced another behavior, so as to provide specific movement behavior advice for weight control in children and adolescents. Methods In June 2021, 231 students from eight classes in a primary school and a middle school in Taiyuan City, Shanxi Province were voluntarily recruited by using random cluster sampling. ActiGraph GT3X+ accelerometer was used to measure 24-hour movement behavior and Inbody J20 body composition analyzer was used to measure body composition. The relationship between each component and obesity indicators was analyzed by compositional multivariate linear regression model. In addition, 30 minutes of one behavior was used to replace another behavior to predict the effect difference of the outcomes. Results After adjusting for covariates such as height, weight, age, and sex, compared with time spent in sedentary behavior(SB), sleep (SLP) and light physical activity (LPA), time spent on moderate to vigorous physical activity (MVPA) was positively correlated with fat-free mass index (FFMI) (β=0.40, P < 0.05), negatively correlated with waist circumference (WC) (β=-2.50, P < 0.05) and waist-hip ratio (WHR) (β=-0.04, P < 0.05). Compared with SB, SLP and MVPA, time spent on LPA was positively correlated with WHR (β=0.06, P < 0.05). If MVPA of 30 min/d replaces SLP, SB, and LPA respectively, WC and WHR decrease 1.10, 1.10, 1.34 cm and 0.02, 0.02, 0.02 respectively, and FFMI increases 0.19, 0.19, 0.15 kg/m² respectively. Conclusion In 24 h movement behavior, with consistent level of sedentary behavior, sleep or low-intensity movement behavior, maintaining a high level of MVPA and replacing sedentary with active activities are crucial for optimal abdominal fat and fat free mass in children and adolescents.
- Motor activity,
- Obesity,
- Compositional data analysis,
- Isotemporal substitution,
- Students

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References(18)

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