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

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.