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dc.contributor.authorGu, F
dc.contributor.authorZhou, S
dc.contributor.authorLou, K
dc.contributor.authorDeng, R
dc.contributor.authorLi, X
dc.contributor.authorHu, J
dc.contributor.authorDong, B
dc.date.accessioned2021-11-02T04:46:32Z
dc.date.available2021-11-02T04:46:32Z
dc.date.issued2021
dc.identifier.issn2296-2360
dc.identifier.doi10.3389/fped.2021.734013
dc.identifier.urihttp://hdl.handle.net/10072/409669
dc.description.abstractObjectives: 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.
dc.description.peerreviewedYes
dc.languageeng
dc.publisherFrontiers Media SA
dc.relation.ispartofpagefrom734013
dc.relation.ispartofjournalFrontiers in Pediatrics
dc.relation.ispartofvolume9
dc.subject.fieldofresearchNutrition and dietetics
dc.subject.fieldofresearchPublic health
dc.subject.fieldofresearchcode3210
dc.subject.fieldofresearchcode4206
dc.subject.keywordsZhejiang province
dc.subject.keywordslifestyle factors
dc.subject.keywordsobesity
dc.subject.keywordspopulation attributable fraction
dc.subject.keywordsstudent
dc.titleLifestyle Risk Factors and the Population Attributable Fractions for Overweight and Obesity in Chinese Students of Zhejiang Province
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationGu, F; Zhou, S; Lou, K; Deng, R; Li, X; Hu, J; Dong, B, Lifestyle Risk Factors and the Population Attributable Fractions for Overweight and Obesity in Chinese Students of Zhejiang Province, Frontiers in Pediatrics, 2021, 9, pp. 734013
dcterms.dateAccepted2021-08-27
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-11-02T04:40:23Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2021 Gu, Zhou, Lou, Deng, Li, Hu and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
gro.hasfulltextFull Text
gro.griffith.authorHu, Jie


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