{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:59:38Z","timestamp":1782845978093,"version":"3.54.5"},"reference-count":25,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Form Res"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Over the past two decades, use of social media has grown among US adults. Common social media platforms include Facebook, YouTube, Instagram, X, LinkedIn, and TikTok. People proactively use social media for a variety of purposes including searching for health information, peer-to-peer social support, and health-related information sharing. As these platforms often serve as sources of health information, understanding how, if at all, people use them may inform future behavioral interventions delivered via social media. Additionally, a better understanding of social engagement may have implications for public health messaging and patient-centered communication.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n Using a nationally representative sample of US adults, we explored how factors including subjective numeracy (ie, ease of understanding medical statistics), interpersonal communication with family and friends, and perceived discrimination influence whether people ever watched versus never watched health-related videos on social media platforms.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n We analyzed the National Cancer Institute\u2019s Health Information National Trends Survey data, which were collected from March to November 2022 (n=6252). After excluding participants who did not have complete data for all variables of interest, we analyzed responses from 4543 participants. Respondents were asked, \u201cIn the past 12 months, how often did you watch a health-related video on a social media site (eg, YouTube)?\u201d Response options included: almost every day, at least once a week, a few times a month, less than once a month, and never. We collapsed answers into ever or never watched. Odds ratios (OR), 95% CIs, and\n P<\/jats:italic>\n values were calculated. A multivariate logistic regression model was considered using all factors that were univariately significant (\n P<\/jats:italic>\n <.10). Using backward elimination, factors that were not significant with\n P<\/jats:italic>\n >.05 were removed one by one until remaining factors were all significant collectively (\n P<\/jats:italic>\n <.05).\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Of 4543 adults analyzed, 61.5% reported watching at least one health-related video in the past 12 months, whereas 38.5% had never watched one. In the multivariable analysis, all age group categories over 50 years were less likely to watch health-related videos compared to those aged 18\u201034 years, with respondents aged \u226575 years having the lowest odds of all groups for watching a health-related video (OR 0.16,\n P<\/jats:italic>\n <.001). Higher odds of watching health-related videos were observed among respondents who were Black (OR 1.59,\n P<\/jats:italic>\n <.01), Hispanic (OR 1.54,\n P<\/jats:italic>\n =.01), and from \u201cOther\u201d minority groups (OR 2.07,\n P<\/jats:italic>\n =.01) compared to White respondents. College graduates (OR 1.71,\n P<\/jats:italic>\n <.01) and those who found medical statistics easy to understand (OR 1.29,\n P<\/jats:italic>\n =.04), talked about health with friends or family (OR 1.68,\n P<\/jats:italic>\n <.01), or experienced racial discrimination in medical care (OR 1.59,\n P<\/jats:italic>\n =.02) also had higher odds of watching health-related videos on social media.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Findings from this study may help target health communication campaigns on social media designed to improve screening, lifestyle changes, medication adherence, and disease management.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/71971","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T22:11:51Z","timestamp":1762380711000},"page":"e71971-e71971","source":"Crossref","is-referenced-by-count":1,"title":["Investigating the Association of Subjective Numeracy, Interpersonal Communication, and Perceived Discrimination With Watching Health-Related Videos on Social Media Platforms: Cross-Sectional Analysis"],"prefix":"10.2196","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8586-450X","authenticated-orcid":false,"given":"Katerina","family":"Andreadis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8187-2710","authenticated-orcid":false,"given":"Nancy","family":"Buderer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1758-691X","authenticated-orcid":false,"given":"Aisha","family":"Langford","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,11,5]]},"reference":[{"key":"R1","unstructured":"Americans\u2019 social media use. Pew Research Center. Jan 31, 2024. URL: https:\/\/www.pewresearch.org\/internet\/2024\/01\/31\/americans-social-media-use\/ [Accessed 29-04-2025]"},{"issue":"12","key":"R2","doi-asserted-by":"publisher","first-page":"1294","DOI":"10.15537\/smj.2019.12.24682","article-title":"Health information on social media: perceptions, attitudes, and practices of patients and their companions","volume":"40","author":"Marar","journal-title":"Saudi Med J"},{"issue":"5","key":"R3","doi-asserted-by":"publisher","DOI":"10.2196\/13512","article-title":"Perceived patient-provider communication quality and sociodemographic factors associated with watching health-related videos on YouTube: a cross-sectional analysis","volume":"21","author":"Langford","journal-title":"J Med Internet Res"},{"key":"R4","unstructured":"Social media and news fact sheet. Pew Research Center. Jan 31, 2024. URL: https:\/\/www.pewresearch.org\/journalism\/fact-sheet\/social-media-and-news-fact-sheet\/ [Accessed 29-10-2025]"},{"issue":"6","key":"R5","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1111\/bioe.13266","article-title":"Can digital health democratize health care?","volume":"38","author":"Hendl","journal-title":"Bioethics"},{"issue":"2","key":"R6","doi-asserted-by":"publisher","DOI":"10.2196\/19910","article-title":"Online communities as a driver for patient empowerment: systematic review","volume":"23","author":"Johansson","journal-title":"J Med Internet Res"},{"issue":"1","key":"R7","doi-asserted-by":"publisher","DOI":"10.2196\/17187","article-title":"Prevalence of health misinformation on social media: systematic review","volume":"23","author":"Suarez-Lledo","journal-title":"J Med Internet Res"},{"key":"R8","doi-asserted-by":"publisher","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","journal-title":"Soc Sci Med"},{"key":"R9","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.39111","article-title":"Multifaceted role of social media in healthcare: opportunities, challenges, and the need for quality control","author":"Jeyaraman","journal-title":"Cureus"},{"issue":"15","key":"R10","doi-asserted-by":"publisher","first-page":"1262","DOI":"10.1001\/jama.2024.1280","article-title":"Patients are turning to TikTok for health information\u2014here\u2019s what clinicians need to know","volume":"331","author":"Anderer","journal-title":"JAMA"},{"issue":"5","key":"R11","doi-asserted-by":"publisher","DOI":"10.2196\/17917","article-title":"Social media use for health purposes: systematic review","volume":"23","author":"Chen","journal-title":"J Med Internet Res"},{"issue":"11","key":"R12","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1001\/journalofethics.2015.17.11.peer1-1511","article-title":"Why can\u2019t we be friends? A case-based analysis of ethical issues with social media in health care","volume":"17","author":"Parsi","journal-title":"AMA J Ethics"},{"issue":"2","key":"R13","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2024.61940","article-title":"Social media posts about medical tests with potential for overdiagnosis","volume":"8","author":"Nickel","journal-title":"JAMA Netw Open"},{"key":"R14","doi-asserted-by":"crossref","unstructured":"Andrikopoulou E Talam N Kanta A . MedTok or MythTok? Classifying health misinformation on TikTok with AI. Presented at: EFMI Special Topic Conference 2025; Oct 20-22, 2025:67-71; Osnabr\u00fcck, Germany. 2025.[doi: 10.3233\/SHTI251497]","DOI":"10.3233\/SHTI251497"},{"key":"R15","doi-asserted-by":"publisher","DOI":"10.2196\/49061","article-title":"Exploring YouTube\u2019s recommendation system in the context of COVID-19 vaccines: computational and comparative analysis of video trajectories","volume":"25","author":"Ng","journal-title":"J Med Internet Res"},{"issue":"1","key":"R16","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-024-00456-3","article-title":"Evaluating Twitter\u2019s algorithmic amplification of low-credibility content: an observational study","volume":"13","author":"Corsi","journal-title":"EPJ Data Sci"},{"key":"R17","unstructured":"Westat. Health Information National Trends Survey 6 (HINTS 6) methodology report. National Cancer Institute; Apr 28, 2023. URL: https:\/\/hints.cancer.gov\/docs\/methodologyreports\/HINTS_6_MethodologyReport.pdf [Accessed 29-10-2025]"},{"key":"R18","unstructured":"Institutional review board (IRB) approvals for the Health Information National Trends Survey (HINTS). National Cancer Institute. 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National Cancer Institute. URL: https:\/\/hints.cancer.gov\/data\/download-data.aspx [Accessed 31-10-2025]"}],"container-title":["JMIR Formative Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/formative.jmir.org\/2025\/1\/e71971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T18:01:56Z","timestamp":1782842516000},"score":1,"resource":{"primary":{"URL":"https:\/\/formative.jmir.org\/2025\/1\/e71971"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,5]]},"references-count":25,"URL":"https:\/\/doi.org\/10.2196\/71971","relation":{},"ISSN":["2561-326X"],"issn-type":[{"value":"2561-326X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,5]]},"article-number":"v9i12e71971"}}