{"title":"TikTok上骨质疏松症视频中的信息质量:一项横断面研究","authors":"Huipin Zhang, Chaomei Zhang, Jing Mo, Wenyan Wang, Zhishui Wu","doi":"10.1007/s11657-025-01597-2","DOIUrl":null,"url":null,"abstract":"<div><h3>\n <i>Summary</i>\n </h3><p>This study evaluated the quality of osteoporosis videos on TikTok, finding that while most are by doctors, the information quality is low. Longer videos tend to have better quality but receive less engagement, highlighting concerns about the suitability of TikTok for medical education.</p><h3>Background</h3><p>TikTok has become a significant channel for the general public to access and adopt health information. However, the quality of health content about osteoporosis on TikTok remains underexplored.</p><h3>Objective</h3><p>This study aimed to investigate the information quality of osteoporosis videos on TikTok.</p><h3>Methods</h3><p>We analyzed the first 200 videos related to osteoporosis on TikTok, focusing on 128 videos that met our criteria. The quality of these videos was evaluated using quantitative scoring tools such as the DISCERN instrument and Content Integrity Assessment. Additionally, the correlation between video quality and characteristics, including duration, likes, comments, and shares, was investigated.</p><h3>Results</h3><p>Of the videos analyzed, 93.0% were posted by doctors. Content integrity scores were as follows: definition 0.61 ± 0.77, symptoms 0.34 ± 0.71, evaluation 0.39 ± 0.71, risk factors 0.55 ± 0.65, management 0.82 ± 0.56, and outcomes 1.17 ± 0.75. The average DISCERN score was 36.51 ± 6.87, the majority of videos were rated as poor (71.1%) or fair (22.7%) in quality. DISCERN scores of videos published by doctors were lower than those created by non-professionals (<i>Z = -</i>2.062, <i>P </i>= 0.039). DISCERN scores were significantly correlated with video duration (<i>r</i> = 0.581, <i>P</i> < 0.001). Engagement metrics such as likes, comments, favorites, and shares were highly interrelated (<i>r</i> = 0.855 to 0.901, <i>P </i>< 0.001), but did not correlate with video quality (<i>P </i>> 0.05).</p><h3>Conclusion</h3><p>Although the videos about osteoporosis on TikTok are mainly provided by doctors, their quality is low. We found a positive correlation between video duration and video quality. High-quality videos received low attention, while popular videos were of low quality. The medical information on TikTok is currently not rigorous enough to guide patients to make accurate judgments. Due to the low quality and reliability of the information, TikTok is not an appropriate source of knowledge to educate patients.\n</p></div>","PeriodicalId":8283,"journal":{"name":"Archives of Osteoporosis","volume":"20 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quality of information in osteoporosis videos on TikTok: a cross-sectional study\",\"authors\":\"Huipin Zhang, Chaomei Zhang, Jing Mo, Wenyan Wang, Zhishui Wu\",\"doi\":\"10.1007/s11657-025-01597-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>\\n <i>Summary</i>\\n </h3><p>This study evaluated the quality of osteoporosis videos on TikTok, finding that while most are by doctors, the information quality is low. Longer videos tend to have better quality but receive less engagement, highlighting concerns about the suitability of TikTok for medical education.</p><h3>Background</h3><p>TikTok has become a significant channel for the general public to access and adopt health information. However, the quality of health content about osteoporosis on TikTok remains underexplored.</p><h3>Objective</h3><p>This study aimed to investigate the information quality of osteoporosis videos on TikTok.</p><h3>Methods</h3><p>We analyzed the first 200 videos related to osteoporosis on TikTok, focusing on 128 videos that met our criteria. The quality of these videos was evaluated using quantitative scoring tools such as the DISCERN instrument and Content Integrity Assessment. Additionally, the correlation between video quality and characteristics, including duration, likes, comments, and shares, was investigated.</p><h3>Results</h3><p>Of the videos analyzed, 93.0% were posted by doctors. Content integrity scores were as follows: definition 0.61 ± 0.77, symptoms 0.34 ± 0.71, evaluation 0.39 ± 0.71, risk factors 0.55 ± 0.65, management 0.82 ± 0.56, and outcomes 1.17 ± 0.75. The average DISCERN score was 36.51 ± 6.87, the majority of videos were rated as poor (71.1%) or fair (22.7%) in quality. DISCERN scores of videos published by doctors were lower than those created by non-professionals (<i>Z = -</i>2.062, <i>P </i>= 0.039). DISCERN scores were significantly correlated with video duration (<i>r</i> = 0.581, <i>P</i> < 0.001). Engagement metrics such as likes, comments, favorites, and shares were highly interrelated (<i>r</i> = 0.855 to 0.901, <i>P </i>< 0.001), but did not correlate with video quality (<i>P </i>> 0.05).</p><h3>Conclusion</h3><p>Although the videos about osteoporosis on TikTok are mainly provided by doctors, their quality is low. We found a positive correlation between video duration and video quality. High-quality videos received low attention, while popular videos were of low quality. The medical information on TikTok is currently not rigorous enough to guide patients to make accurate judgments. Due to the low quality and reliability of the information, TikTok is not an appropriate source of knowledge to educate patients.\\n</p></div>\",\"PeriodicalId\":8283,\"journal\":{\"name\":\"Archives of Osteoporosis\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Osteoporosis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11657-025-01597-2\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Osteoporosis","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s11657-025-01597-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
本研究对TikTok上骨质疏松症视频的质量进行了评估,发现虽然大多数是医生制作的,但信息质量很低。较长的视频往往质量更好,但参与度更低,这凸显了人们对TikTok是否适合医学教育的担忧。tiktok已成为公众获取和接受健康信息的重要渠道。然而,TikTok上有关骨质疏松症的健康内容的质量仍未得到充分探索。目的探讨TikTok上骨质疏松症视频的信息质量。方法我们分析了TikTok上前200个与骨质疏松症相关的视频,重点分析了128个符合我们标准的视频。使用定量评分工具(如DISCERN仪器和内容完整性评估)对这些视频的质量进行评估。此外,还研究了视频质量与特征(包括时长、点赞、评论和分享)之间的相关性。结果93.0%的视频由医生上传。内容完整性评分如下:定义0.61±0.77,症状0.34±0.71,评价0.39±0.71,危险因素0.55±0.65,管理0.82±0.56,结局1.17±0.75。平均评分为36.51±6.87分,大部分视频质量为差(71.1%)或一般(22.7%)。医生发布的视频的DISCERN分数低于非专业人员制作的视频(Z = -2.062, P = 0.039)。DISCERN评分与视频时长显著相关(r = 0.581, P < 0.001)。用户粘性指标,如点赞、评论、收藏和分享是高度相关的(r = 0.855至0.901,P <;0.001),但与视频质量无关(P >;0.05)。结论TikTok上关于骨质疏松症的视频主要由医生提供,但质量较低。我们发现视频时长与视频质量呈正相关。高质量视频关注度低,热门视频质量低。目前,抖音上的医疗信息不够严谨,无法指导患者做出准确的判断。由于信息的质量和可靠性较低,TikTok不是教育患者的合适知识来源。
Quality of information in osteoporosis videos on TikTok: a cross-sectional study
Summary
This study evaluated the quality of osteoporosis videos on TikTok, finding that while most are by doctors, the information quality is low. Longer videos tend to have better quality but receive less engagement, highlighting concerns about the suitability of TikTok for medical education.
Background
TikTok has become a significant channel for the general public to access and adopt health information. However, the quality of health content about osteoporosis on TikTok remains underexplored.
Objective
This study aimed to investigate the information quality of osteoporosis videos on TikTok.
Methods
We analyzed the first 200 videos related to osteoporosis on TikTok, focusing on 128 videos that met our criteria. The quality of these videos was evaluated using quantitative scoring tools such as the DISCERN instrument and Content Integrity Assessment. Additionally, the correlation between video quality and characteristics, including duration, likes, comments, and shares, was investigated.
Results
Of the videos analyzed, 93.0% were posted by doctors. Content integrity scores were as follows: definition 0.61 ± 0.77, symptoms 0.34 ± 0.71, evaluation 0.39 ± 0.71, risk factors 0.55 ± 0.65, management 0.82 ± 0.56, and outcomes 1.17 ± 0.75. The average DISCERN score was 36.51 ± 6.87, the majority of videos were rated as poor (71.1%) or fair (22.7%) in quality. DISCERN scores of videos published by doctors were lower than those created by non-professionals (Z = -2.062, P = 0.039). DISCERN scores were significantly correlated with video duration (r = 0.581, P < 0.001). Engagement metrics such as likes, comments, favorites, and shares were highly interrelated (r = 0.855 to 0.901, P < 0.001), but did not correlate with video quality (P > 0.05).
Conclusion
Although the videos about osteoporosis on TikTok are mainly provided by doctors, their quality is low. We found a positive correlation between video duration and video quality. High-quality videos received low attention, while popular videos were of low quality. The medical information on TikTok is currently not rigorous enough to guide patients to make accurate judgments. Due to the low quality and reliability of the information, TikTok is not an appropriate source of knowledge to educate patients.
期刊介绍:
Archives of Osteoporosis is an international multidisciplinary journal which is a joint initiative of the International Osteoporosis Foundation and the National Osteoporosis Foundation of the USA. The journal will highlight the specificities of different regions around the world concerning epidemiology, reference values for bone density and bone metabolism, as well as clinical aspects of osteoporosis and other bone diseases.