{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T06:00:15Z","timestamp":1790316015865,"version":"4.1.0"},"reference-count":53,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004179","name":"Ningxia Medical University","doi-asserted-by":"publisher","award":["XT2024008"],"award-info":[{"award-number":["XT2024008"]}],"id":[{"id":"10.13039\/501100004179","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"\n Background<\/jats:title>\n Short-form video platforms have become a dominant health information source for COPD patients, yet the relationship between content characteristics of exposure and respiratory symptom severity remains unexplored. Given China's 1.02 billion short-form video users with daily viewing exceeding 150\u2005min, understanding differential health impacts of various content types is critical, particularly for older adults vulnerable to algorithmic misinformation.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study investigated associations between multidimensional short-form video exposure characteristics\u2014content type (health preservation, illness prevention, daily exercise), viewing duration, and user acceptance\u2014and respiratory symptom severity measured by the BCSS among outpatients with COPD.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n A multi-center cross-sectional study enrolled 207 GOLD-confirmed COPD patients (mean age 63.0\u2009\u00b1\u200912.9 years; 55.1% male) from January to July 2025. Short-form video exposure was assessed using a validated self-designed questionnaire (Cronbach\u2018s\n \u03b1<\/jats:italic>\n =0.78, CVI=0.85). Respiratory symptoms were measured using the BCSS. Analyses included t-tests, ANOVA, and hierarchical multiple linear regression, with established clinical confounders forced into multivariable models per STROBE guidelines. Multicollinearity and model assumptions were verified.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Mean BCSS was 7.86\u2009\u00b1\u20092.24, indicating moderate-to-severe symptom burden. Health preservation content exposure was independently associated with higher BCSS (B\u2009=\u20091.163,\n \u03b2<\/jats:italic>\n =0.227,\n P<\/jats:italic>\n \u2009=\u20090.003), while daily exercise content showed an inverse association (B\u2009=\u2009\u22120.876,\n \u03b2<\/jats:italic>\n =\u22120.196,\n P<\/jats:italic>\n \u2009=\u20090.007). Daily viewing duration was not independently associated with BCSS (B\u2009=\u20090.059,\n P<\/jats:italic>\n \u2009=\u20090.377). Acceptance showed a significant non-linear pattern suggestive of an inverted U-shaped relationship with BCSS (P for non-linearity=0.025), warranting cautious interpretation. Content and acceptance variables improved model fit beyond clinical covariates and duration (\n \u0394<\/jats:italic>\n R\n 2<\/jats:sup>\n \u2009=\u20090.108,\n P<\/jats:italic>\n \u2009=\u20090.001), whereas duration alone did not (\n \u0394<\/jats:italic>\n R\n 2<\/jats:sup>\n \u2009=\u20090.009,\n P<\/jats:italic>\n \u2009=\u20090.155). The final model explained 22.0% of BCSS variance.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Content type\u2014not duration alone\u2014was significantly associated with respiratory symptom severity in COPD patients. Health preservation content (often non-evidence-based) was linked to worse symptoms, while daily exercise content showed protective associations. The non-linear acceptance-symptom relationship suggests that the association between content acceptance and symptom severity is complex and not simply monotonic; the underlying mechanisms merit further investigation. These findings support content-aware digital health literacy interventions and integration of social media exposure assessment into nursing-led COPD management.<\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fdgth.2026.1955608","type":"journal-article","created":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T05:33:47Z","timestamp":1790314427000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Short-form video exposure characteristics and respiratory symptom severity among patients with chronic obstructive pulmonary disease: a cross-sectional study"],"prefix":"10.3389","volume":"8","author":[{"given":"Haihong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Nursing, Ningxia Medical University, Ningxia Hui Autonomous Region","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenxue","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Ningxia Medical University","place":["Yinchuan, Ningxia, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Nursing, Ningxia Medical University, Ningxia Hui Autonomous Region","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,25]]},"reference":[{"key":"B1","year":""},{"key":"B2","doi-asserted-by":"publisher","first-page":"101936","DOI":"10.1016\/j.eclinm.2023.101936","article-title":"Global burden of chronic respiratory diseases and risk factors, 1990\u20132019: an update from the global burden of disease study 2019","volume":"59","author":"Momtazmanesh","year":"2023","journal-title":"eClinicalMed"},{"key":"B3","doi-asserted-by":"publisher","first-page":"1706","DOI":"10.1016\/s0140-6736(18)30841-9","article-title":"Prevalence and risk factors of chronic obstructive pulmonary disease in China: a national cross-sectional study","volume":"391","author":"Wang","year":"2018","journal-title":"Lancet"},{"key":"B4","volume-title":"China Internet Audio-Visual Development Research Report","year":"2025"},{"key":"B5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.socscimed.2019.112552","article-title":"Systematic literature review on the spread of health-related misinformation on social media","volume":"240","author":"Wang","year":"2019","journal-title":"Soc Sci Med"},{"key":"B6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2196\/17187","article-title":"Prevalence of health misinformation in social media: a systematic review","volume":"23","author":"Suarez-Lledo","year":"2021","journal-title":"J Med Internet Res"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2196\/28152","article-title":"Medical and health-related misinformation on social media: bibliometric study of the scientific literature","volume":"24","author":"Yeung","year":"2022","journal-title":"J Med Internet Res"},{"key":"B8","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1186\/s12888-026-08024-x","article-title":"Association of problematic short-video use with adolescent depression: a cross-sectional study and machine learning identification model construction","volume":"26","author":"Jiang","year":"2026","journal-title":"BMC Psychiatry"},{"key":"B9","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1186\/s40359-024-01865-9","article-title":"Adolescents' short-form video addiction and sleep quality: the mediating role of social anxiety","volume":"12","author":"Jiang","year":"2024","journal-title":"BMC Psychol"},{"key":"B10","doi-asserted-by":"publisher","first-page":"1213539","DOI":"10.3389\/fpsyg.2024.1213539","article-title":"Willingness to reduce alcohol consumption predicted by short-form video exposure, media involvement, psychological bias, and cognitive factor","volume":"15","author":"Chung","year":"2024","journal-title":"Front Psychol"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1101\/2025.08.27.25334540","article-title":"The impact of short-form video use on cognitive and mental health outcomes. 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