{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T16:57:20Z","timestamp":1792688240385,"version":"4.5.0"},"reference-count":60,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpubh.2026.1873007","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T04:26:31Z","timestamp":1781497591000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Internet media use, physical activity participation, and health-related outcomes among Chinese adults: evidence from CGSS2023"],"prefix":"10.3389","volume":"14","author":[{"given":"Yi","family":"Lin","sequence":"first","affiliation":[{"name":"College of Physical Education and Sport Science, Fujian Normal University","place":["Fuzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenfeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Physical Education, Guizhou Normal University","place":["Guiyang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Banghui","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Physical Education, Guizhou Normal University","place":["Guiyang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"B1","volume-title":"The Rise of the Network Society","author":"Castells","year":"2010"},{"key":"B2","unstructured":"Beijing\n          China Internet Network Information Center\n          The 56th Statistical Report on China's Internet Development\n          \n          2025"},{"key":"B3","doi-asserted-by":"publisher","first-page":"15162","DOI":"10.3390\/ijerph192215162","article-title":"\u201cDigital dividend\u201d or \u201cdigital divide\u201d: what role does the internet play in the health inequalities among Chinese residents?","volume":"19","author":"Zhang","year":"2022","journal-title":"Int J Environ Res Public Health."},{"key":"B4","unstructured":"Bulletin of the 2020 National Fitness Activity Survey\n          \n          2022"},{"key":"B5","doi-asserted-by":"publisher","first-page":"1451","DOI":"10.1136\/bjsports-2020-102955","article-title":"World Health Organization 2020 guidelines on physical activity and sedentary behaviour","volume":"54","author":"Bull","year":"2020","journal-title":"Br J Sports Med."},{"key":"B6","doi-asserted-by":"publisher","first-page":"e1232","DOI":"10.1016\/S2214-109X(24)00150-5","article-title":"National, regional, and global trends in insufficient physical activity among adults from 2000 to 2022: a pooled analysis of 507 population-based surveys with 5","volume":"12","author":"Strain","year":"2024","journal-title":"Lancet Glob Health."},{"key":"B7","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1176\/appi.ajp.2018.17111194","article-title":"Physical activity and incident depression: a meta-analysis of prospective cohort studies","volume":"175","author":"Schuch","year":"2018","journal-title":"Am J Psychiatry."},{"key":"B8","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1001\/jamapsychiatry.2022.0609","article-title":"Association between physical activity and risk of depression: a systematic review and meta-analysis","volume":"79","author":"Pearce","year":"2022","journal-title":"JAMA Psychiatry."},{"key":"B9","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1186\/1479-5868-7-38","article-title":"Physical activity and functional limitations in older adults: a systematic review related to Canada's Physical Activity Guidelines","volume":"7","author":"Paterson","year":"2010","journal-title":"Int J Behav Nutr Phys Act."},{"key":"B10","doi-asserted-by":"publisher","first-page":"21","DOI":"10.2307\/2955359","article-title":"Self-rated health and mortality: a review of twenty-seven community studies","volume":"38","author":"Idler","year":"1997","journal-title":"J Health Soc Behav."},{"key":"B11","unstructured":"Chinese General Social Survey: Project Overview"},{"key":"B12","doi-asserted-by":"publisher","first-page":"837911","DOI":"10.3389\/fpubh.2022.837911","article-title":"Can internet use change sport participation behavior among residents? 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