Prevalence and correlates of muscle-strengthening exercise among Chinese children and adolescents
Mini-Oral Presentation A1.7
DOI:
https://doi.org/10.14288/hfjc.v14i3.430Keywords:
Correlate, Muscle-Strengthening Exercise, Physical Activity, ChildrenAbstract
Background: Understanding the correlates of muscle-strengthening exercise (MSE) is beneficial for developing health promotion interventions. Purpose: To identify the prevalence of meeting the MSE recommendations (≥3 days/week) and its correlates among Chinese children. Methods: The sample comprises 80,413 Chinese children (mean age 13.7 years; 53.5% girls). Self-reported data on MSE, demographics (sex, grade, ethnicity, residence, height, weight, family composition, income, and parental education), behavior (sport skills, moderate-to-vigorous physical activity (MVPA), screen time, and sleep duration), psychology (exercise intention), and sociocultural background (peer and parental support, parental MSE) were obtained. Logistic regressions were used to determine the correlates of meeting the recommendations. Results: Overall, 39.3% of children met the recommendations. Girls, 10th–12th graders, overweight/obese students, minorities, and those with lower income and education were less likely to engage in MSE. Children participated in more MVPA (OR = 1.57, 95% CI: 1.53–1.61) and sport skills (OR = 1.44, 95% CI: 1.26–1.66) were more likely to engage in MSE. Exercise intention (OR = 1.59, 95% CI: 1.51–1.68), parents MSE (OR = 1.46, 95% CI: 1.40–1.53), peer support (OR = 1.27, 95% CI: 1.20–1.35), and parental support (OR = 1.08, 95% CI: 1.03–1.12) were significantly associated with MSE. Conclusion: Sex, age, weight status, ethnicity, income, education, sport skills, MVPA, exercise intention, peer and parental support, and parental MSE were significantly associated with meeting the MSE recommendations. Funding: Study founded by The National Social Science Foundation of China (No. 16ZDA227).
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Copyright (c) 2021 Fei Xin, Zheng Zhu, Xiaoqing Hu, Si-Tong Chen, Huan Chen, Yang Liu, Lijuan Wang, Yujun Cai, Ang Chen, Yan Tang
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