Clustering of health-risk behaviors among children and adolescents in Yancheng City
LU Xiaomin1, ZHAO Jijuan2, SUN Zhongyou2, ZHANG Xueyan1, CHEN Shenglan1
1. Public Health Teaching and Research Office, Jiangsu Vocational College of Medicine, Yancheng, Jiangsu 224005, China; 2. Yancheng Center for Disease Control and Prevention, Yancheng, Jiangsu 224001, China
Abstract:Objective To investigate the clustering of health-risk behaviors and its influencing factors among children and adolescents in Yancheng City, Jiangsu Province, so as to provide insights into the prevention and control of health-risk behaviors among children and adolescents. Methods Students were randomly sampled from 4 primary schools, 4 junior high schools and 4 senior high schools in Yancheng City using a multi-stage stratified cluster random sampling method from September to December 2021. Students' demographics and 12 health-risk factors including unhealthy diet, insufficient physical activity and attempted smoking were collected using the Student's Health Status and Influencing Factors Questionnaire by Jiangsu Provincial Center for Disease Control and Prevention, and factors affecting the clustering of health-risk behaviors were identified using a multivariable linear regression model. Results A total of 2 925 valid questionnaires were recovered, and the respondents included 1 611 boys (55.08%) and 1 314 girls (44.92%). A total of 2 896 respondents were detected with health-risk behaviors, with a detection rate of 99.09%, and 2 772 respondents were detected with clustering of health-risk behaviors (93.06%). Insufficient sleep, insufficient physical activity and insufficient duration of outdoor activity were predominant patterns of clustering. The median number of health-risk behaviors was 4.00 (interquartile range, 2.00) per capita. Multivariable linear regression analysis showed that boys (β=0.232), grade (junior high school, β=0.519; senior high school, β=0.427), urban area (β=0.241), living at school (β=0.395), family structure (single parental family, β=0.188; other families, β=0.344) and father's education level of primary school and below (β=0.369) were factors affecting clustering of health-risk behavior among primary and high school students. ConclusionsThe detection of health-risk behaviors is high among children and adolescents in Yancheng City, and insufficient sleep, insufficient physical activity and insufficient duration of outdoor activity are predominant health-risk behaviors. Boys, junior high school and above, urban areas, living at schools, single parents, and fathers with a low educational level lead to a high degree of clustering of health-risk behaviors.
[1] 袁兆康,文小桐.中国青少年健康危险行为研究设计与流行现状[J].中国学校卫生,2019,40(4):638-640. [2] 谢莎丽,马骁,林辉,等.多种健康相关行为干预的研究进展[J].中国社会医学杂志,2016,33(6):528-531. [3] 朱雯,张涛,龚清海.我国青少年健康危险行为研究现状[J].中国预防医学杂志,2016,17(7):535-539. [4] WANG X,YANG X,LI J,et al.Impact of healthy lifestyles on cancer risk in the Chinese population[J].Cancer,2019,125(12):2099-2106. [5] 庄绪秀,刘洋,王一诺,等.儿童青少年肥胖相关健康危险行为共存及模式研究进展[J].中国学校卫生,2021,42(12):1917-1920. [6] 中华人民共和国国家卫生健康委办公厅.2019年全国学生常见病和健康影响因素监测与干预工作方案[EB/OL],2019[2023-03-14].http://www.nhc.gov.cn/jkj/s5898bm/201903/1bcbac21e1864377ad24984fac014c7d.shtml. [7] 张萍,李文毅,刘北星,等.无锡市梁溪区中小学生健康相关行为及影响因素分析[J].中国慢性病预防与控制,2018,26(8):627-631. [8] CHEN Y,ZHENG Z,YI J,et al.Associations Between Physical Inactivity and Sedentary Behaviors Among Adolescents in 10 Cities in China[J].Bmc Public Health,2014,14(1):1-9. [9] 张云婷,马生霞,陈畅,等.中国儿童青少年身体活动指南[J].中国循证儿科杂志,2017,12(6):401-409. [10] 孙艺,林蓉,熊莉华,等.广州市学生视力不良与户外活动时间关系[J].中国学校卫生,2019,40(7):997-1000. [11] 中华人民共和国卫生部,国家标准化管理委员会.中小学生一日学习时间卫生要求[S].2012. [12] 文小桐,陈飞宇,李旭阳,等.南昌市高中生健康危险行为及其聚集共发现象研究[J].现代预防医学,2019,46(13):2405-2409. [13] 徐涛,张天成,张福兰.湘西州农村初中生健康危险行为聚集特征及多发特点分析[J].中国慢性病预防与控制,2021,29(12):892-897. [14] 陈雨媚,刘慧铭,梁珊,等.长沙市城区中学生的危险行为及其聚集性分析[J].中国心理卫生杂志,2019,33(8):612-617. [15] 徐涛,张天成,周县委,等.湘西州土家族与苗族初中生健康危险行为多发特点及影响因素分析[J].现代预防医学,2021,48(9):1658-1661,1704. [16] 贾至慧,陈飞宇,李旭阳,等.江西省农村中小学生健康危险行为共发性及关联性[J].中国公共卫生,2022,38(1):29-32.