杭州市城区成年人互联网使用与健康生活方式的关联研究

任艳军; 徐虹; 周晓红; 盛雪飞; 赵媛媛; 章华米; 何宝华; 苏幸; 吕筠

Abstract

任艳军,徐虹,周晓红,盛雪飞,赵媛媛,章华米,何宝华,苏幸,吕筠.杭州市城区成年人互联网使用与健康生活方式的关联研究[J].Chinese journal of Epidemiology,2023,44(9):1426-1433

杭州市城区成年人互联网使用与健康生活方式的关联研究

Association between internet use and healthy lifestyles in urban adults in Hangzhou, China

Received:March 03, 2023

DOI：10.3760/cma.j.cn112338-20230303-00121

KeyWord: 互联网使用生活方式成年人关联

English Key Word: Internet use Lifestyle Adult Association

FundProject:浙江省基础公益研究计划（LGF20H260011）

Author Name	Affiliation	E-mail
Ren Yanjun	Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou 310021, China
Xu Hong	Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou 310021, China	xuhong-123456@hotmail.com
Zhou Xiaohong	Gongshu District Center for Disease Control and Prevention of Hangzhou, Hangzhou 310011, China
Sheng Xuefei	Gongshu District Center for Disease Control and Prevention of Hangzhou, Hangzhou 310011, China
Zhao Yuanyuan	Gongshu District Center for Disease Control and Prevention of Hangzhou, Hangzhou 310011, China
Zhang Huami	Xihu District Center for Disease Control and Prevention of Hangzhou, Hangzhou 310030, China
He Baohua	Gongshu District Center for Disease Control and Prevention of Hangzhou, Hangzhou 310011, China
Su Xing	Xihu District Center for Disease Control and Prevention of Hangzhou, Hangzhou 310030, China
Lyu Jun	Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China

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Abstract:

目的探讨城市社区成年人互联网使用与健康生活方式的关系。方法 2022年5-8月采用整群随机抽样和Kish抽样方法在杭州市城区抽取18~64岁常住居民开展面对面问卷调查。互联网使用包括过去7 d的互联网使用时间和12种互联网使用内容，通过因子分析和K-均值聚类法归纳为3种互联网使用类型即工作学习型、全面覆盖型和视频游戏型。健康生活方式定义为积极体力活动、健康膳食习惯、不吸烟、不饮酒、正常体重、正常腰围。采用二分类logistic回归模型和多分类logistic回归模型分析互联网使用与健康生活方式之间的关联性。结果共纳入1 624名研究对象。调整潜在的混杂因素后，互联网使用时间较长者（≥8.5 h/d）与较短者（<2.5 h/d）相比，具有正常体重（OR=0.59，95%CI：0.41~0.85）和5~6种健康生活方式（OR=0.55，95%CI：0.32~0.96）的可能更低。对于不同类型的互联网使用分析发现，与工作学习型相比，全面覆盖型具有健康膳食习惯（OR=0.63，95%CI：0.46~0.86）、不饮酒（OR=0.68，95%CI：0.47~0.99）、正常腰围（OR=0.59，95%CI：0.42~0.84）和5~6种健康生活方式（OR=0.40，95%CI：0.23~0.69）的可能更低，视频游戏型具有积极体力活动（OR=0.73，95%CI：0.55~0.97）和健康膳食习惯（OR=0.79，95%CI：0.62~0.99）的可能更低。结论互联网使用时间过长（≥8.5 h/d）、全面覆盖型和视频游戏型与不健康生活方式存在关联。

English Abstract:

Objective To explore the association between internet use and healthy lifestyles in urban adults. Methods From May to August, 2022, a face-to-face questionnaire survey was conducted in residents aged 18-64 years selected in the urban area of Hangzhou by integrated cluster stratified random sampling and Kish grid method. The information about internet use included the internet use time in the past 7 days and 12 kinds of internet use contents. Using factor analysis and K-means clustering, three types of internet use were summarized, i.e. general type, video game type and working/learning type. Healthy lifestyles were defined as active physical activity, healthy diet habit, non-smoking, non-drinking, healthy weight, and healthy waist circumference. The correlations between internet use and healthy lifestyles were evaluated by using binary logistic regression and multinomial logistic regression analyses. Results A total of 1 624 participants were included. After adjusting for potential confounding factors, the longer internet use time group (≥ 8.5 h/d) was less likely to have healthy weight (OR=0.59, 95%CI:0.41-0.85) and 5-6 healthy lifestyles (OR=0.55, 95%CI:0.32-0.96) compared with those with shorter internet use time group (<2.5 h/d). For different types of internet use, it was found that compared with working/learning type group, the general type group was less likely to have healthy diet habits (OR=0.63, 95%CI: 0.46-0.86), non-drinking (OR=0.68, 95%CI: 0.47-0.99), healthy waist circumference (OR=0.59, 95%CI:0.42-0.84) and 5-6 healthy lifestyles (OR=0.40, 95%CI: 0.23-0.69), the video game type group was less likely to have active physical activity (OR=0.73, 95%CI:0.55-0.97) and healthy diet habits (OR=0.79, 95%CI:0.62-0.99). Conclusion Too long internet use (≥ 8.5 h/d), general type and video game type of internet use were associated with unhealthy lifestyles.

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