Frontiers in public health · 2026
Internet media use, physical activity participation, and health-related outcomes among Chinese adults: evidence from CGSS2023.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Lin Yi, Zhu Wenfeng, Hong Banghui
Аннотация
OBJECTIVE: Using data from the 2023 Chinese General Social Survey (CGSS2023), this study examined the cross-sectional association between internet media-use frequency and physical activity participation frequency among Chinese adults. It further assessed social-group heterogeneity and evaluated secondary associations with health-related outcomes.
METHODS: This cross-sectional observational study included a complete-case analytical sample of 5,621 adults. Multivariable ordinary least squares (OLS) regression was used as the primary descriptive model. Weighted OLS, ordered logit, binary logit and inverse-probability-weighted sensitivity analyses were used to assess robustness. Group heterogeneity was assessed using interaction models.
RESULTS: Internet media-use frequency was positively but modestly associated with physical activity participation frequency in the primary model (b = 0.084, 95% CI 0.049 to 0.119). The estimate remained similar after inverse-probability weighting (b = 0.094, 95% CI 0.058 to 0.130). Ordered-logit marginal effects indicated that a one-level increase in internet media use was associated with a 1.8-percentage-point lower probability of being in the lowest physical-activity category and a 1.1-percentage-point higher probability of being in the highest category. The association was stronger among low-income respondents. Additional lifestyle-overlap variables were statistically related to both internet use and physical activity, and internet use and physical activity each showed small positive associations with self-rated health, mental wellbeing and daily functioning.
CONCLUSION: Among Chinese adults, more frequent internet media use was associated with slightly more frequent physical activity participation, with the clearest subgroup difference observed by income. These findings support a bounded cross-sectional digital-lifestyle interpretation rather than a causal account of internet use, physical activity or health.
METHODS: This cross-sectional observational study included a complete-case analytical sample of 5,621 adults. Multivariable ordinary least squares (OLS) regression was used as the primary descriptive model. Weighted OLS, ordered logit, binary logit and inverse-probability-weighted sensitivity analyses were used to assess robustness. Group heterogeneity was assessed using interaction models.
RESULTS: Internet media-use frequency was positively but modestly associated with physical activity participation frequency in the primary model (b = 0.084, 95% CI 0.049 to 0.119). The estimate remained similar after inverse-probability weighting (b = 0.094, 95% CI 0.058 to 0.130). Ordered-logit marginal effects indicated that a one-level increase in internet media use was associated with a 1.8-percentage-point lower probability of being in the lowest physical-activity category and a 1.1-percentage-point higher probability of being in the highest category. The association was stronger among low-income respondents. Additional lifestyle-overlap variables were statistically related to both internet use and physical activity, and internet use and physical activity each showed small positive associations with self-rated health, mental wellbeing and daily functioning.
CONCLUSION: Among Chinese adults, more frequent internet media use was associated with slightly more frequent physical activity participation, with the clearest subgroup difference observed by income. These findings support a bounded cross-sectional digital-lifestyle interpretation rather than a causal account of internet use, physical activity or health.