文章摘要
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].中华流行病学杂志,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
收稿日期:2023-03-03  出版日期:2023-09-14
DOI:10.3760/cma.j.cn112338-20230303-00121
中文关键词: 互联网使用  生活方式  成年人  关联
英文关键词: Internet use  Lifestyle  Adult  Association
基金项目:浙江省基础公益研究计划(LGF20H260011)
作者单位E-mail
任艳军 杭州市疾病预防控制中心, 杭州 310021  
徐虹 杭州市疾病预防控制中心, 杭州 310021 xuhong-123456@hotmail.com 
周晓红 杭州市拱墅区疾病预防控制中心, 杭州 310011  
盛雪飞 杭州市拱墅区疾病预防控制中心, 杭州 310011  
赵媛媛 杭州市拱墅区疾病预防控制中心, 杭州 310011  
章华米 杭州市西湖区疾病预防控制中心, 杭州 310030  
何宝华 杭州市拱墅区疾病预防控制中心, 杭州 310011  
苏幸 杭州市西湖区疾病预防控制中心, 杭州 310030  
吕筠 北京大学公共卫生学院流行病与卫生统计学系/重大疾病流行病学教育部重点实验室, 北京 100191
北京大学公众健康与重大疫情防控战略研究中心, 北京 100191 
 
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中文摘要:
      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。
英文摘要:
      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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