Key result
Insufficient sleep and watching TV for 1 or more hours per day were significantly associated with an increased risk of overweight and obesity (OR 1.14) among Chinese students.
Why the study?
The study was conducted to assess the relationship between modifiable lifestyle factors and the risk of overweight/obesity in Chinese students, and to evaluate the predicted prevalence if these risk factors were removed.
Do modifiable lifestyle factors impact the prevalence of overweight and obesity in Chinese students?
Cross-Sectional (n=40,141)
Yes
Do modifiable lifestyle factors impact the prevalence of overweight and obesity in Chinese students?
Odds Ratio: 1.14 (95% CI 1.11–1.22)
p-value: p=<0.001
Modifiable lifestyle factors, particularly insufficient sleep and prolonged TV time, significantly contribute to overweight and obesity in Chinese students, highlighting key targets for early intervention.
Insufficient sleep and TV time may warrant targeting in Chinese students; hypothesis-generating for prospective intervention trials.
Objectives: To assess the relationship between modifiable lifestyle factors and risk of overweight/obesity in Chinese students, and to evaluate the predicting prevalence of overweight if the lifestyle risk factors were removed. Methods: A cross-sectional survey was conducted among 40,141 students in grade three and above (8–24yrs) in 2019 in Zhejiang Province, China. Physical examination was performed, and a self-administered questionnaire was used to collect lifestyle information, including dietary behavior, physical activity, TV watching, sleeping, smoking, drinking, and tooth-brushing habits. Logistic regression models were performed to assess the relationship between overweight/obesity and a series of lifestyle factors. Population attributable fractions (PAFs) were used to calculate the predicting prevalence of overweight/obesity if lifestyle risk factors were removed. Results: The prevalence of overweight/obesity of participants was 25.5% (male 32.3%, female 18.1%). Overweight/obesity were associated with adverse lifestyle factors, such as watch TV ≥1 h/day (OR = 1.14, 95% CI: 1.11–1.22), insufficient sleep (OR = 1.14, 95% CI: 1.11–1.22), and irregular toothbrushing habits (OR = 1.19, 95% CI: 1.01–1.39). Based on the calculated PAFs, the predicted prevalence of overweight/obesity would decline moderately if lifestyle factors were modified, with the magnitudes of decrease vary by sex, age and residence. Generally, a larger reduction was estimated if the sleeping time was increased and TV time was reduced, with the prevalence of overweight/obesity decreased by 1.1% (95% CI: 0.7, 1.5%) and 0.9% (95% CI: 0.6, 1.2%), respectively. Conclusions: Predicted prevalence of overweight/ obesity in Chinese students may decrease if modifiable lifestyle risk factors were removed. The attributable risk for obesity of lifestyle behaviors varied in age, sex and residence groups. The findings of this study may provide insights for planning and optimizing future obesity intervention endeavors.
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Gu et al. (2021) conducted a cross-sectional in Overweight and obesity (n=40,141). Insufficient sleep vs. Adequate sleep was evaluated on Overweight/obesity (OR 1.14, 95% CI 1.11-1.22, p=<0.001). Insufficient sleep and watching TV for 1 or more hours per day were significantly associated with an increased risk of overweight and obesity (OR 1.14) among Chinese students.
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