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.
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。.