Liu Li, Yang Jianning, Tan Fengmei, Luo Huan, Chen Yanhua, Zhao Xiaolei
School of Nursing, Southwest Medical University, Luzhou, China.
Department of Hematopathology, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
JMIR Form Res. 2025 Sep 2;9:e71652. doi: 10.2196/71652.
Body image dissatisfaction among children and adolescents is a significant public health concern and is associated with numerous physical and mental problems. Social media platforms, including TikTok, BiliBili, and YouTube, have become popular sources of health information. However, the quality and reliability of content related to body image dissatisfaction have not been comprehensively evaluated.
The primary goal of this study was to examine the quality and reliability of videos related to body image dissatisfaction on TikTok, BiliBili, and YouTube.
The keywords "body image dissatisfaction" were searched on YouTube, TikTok, and BiliBili in November 2024. Videos were collected based on platform-specific sort filters, including the filter of "Most liked" on TikTok and the filter of "Most viewed" on BiliBili and YouTube. The top 100 videos on each platform were reviewed and screened in the study. After excluding videos that were (1) not in English or Chinese, (2) duplicates, (3) irrelevant, (4) no audio or visual, (5) contained advertisements, and (6) with a Global Quality Scale (GQS) score of 1, the final sample consisted of 64 videos, which formed the basis of our research and subsequent findings. Two reviewers (LL and JNY) screened, selected, extracted data, and evaluated all videos using the GQS, the Modified DISCERN (mDISCERN) scores, and the Modified Journal of the American Medical Association (mJAMA) benchmark criteria. Statistical analysis was performed using SPSS (version 28.0; IBM Corp).
In total, 64 videos were analyzed in the study, including 20 from TikTok, 13 from BiliBili, and 31 from YouTube. The median duration of the involved videos was 3.01 (IQR 1.00-5.94) minutes on TikTok, 3.52 (IQR 2.36-5.63) minutes on BiliBili, and 4.86 (IQR 3.10-6.93) minutes on YouTube. Compared with the other 2 platforms, BiliBili videos received higher likes and more comments. The majority of the videos (n=40, 62%) were uploaded by self-media. The quality of the videos on YouTube shows the highest overall scores. Videos uploaded by professional authors had significantly higher GQS, mDISCERN, and mJAMA scores compared to those uploaded by nonprofessionals. There was no significant correlation between video quality and the number of views or likes. However, the number of views and likes were significantly positively correlated. Furthermore, a significant correlation was found between the mJAMA, mDISCERN, and GQS scores.
Web-based video platforms have become an important source for adolescents to access health information. However, the lack of a significant correlation between video quality and the number of likes and comments poses a challenge for users seeking reliable health information. It is suggested that the quality of the videos on health information would be taken into consideration in the recommendation algorithm on web-based video platforms.
儿童和青少年的身体形象不满是一个重大的公共卫生问题,与众多身体和心理问题相关。包括TikTok、哔哩哔哩和YouTube在内的社交媒体平台已成为健康信息的流行来源。然而,与身体形象不满相关内容的质量和可靠性尚未得到全面评估。
本研究的主要目标是检验TikTok、哔哩哔哩和YouTube上与身体形象不满相关视频的质量和可靠性。
2024年11月在YouTube、TikTok和哔哩哔哩上搜索关键词“身体形象不满”。根据特定平台的排序过滤器收集视频,包括TikTok上的“最受喜爱”过滤器以及哔哩哔哩和YouTube上的“观看次数最多”过滤器。本研究对每个平台上排名前100的视频进行了审查和筛选。在排除以下视频后:(1)非英文或中文的;(2)重复的;(3)不相关的;(4)没有音频或视频的;(5)包含广告的;(6)全球质量量表(GQS)评分为1的,最终样本包括64个视频,这些视频构成了我们研究及后续结果的基础。两名评审员(LL和JNY)使用GQS、改良的辨别力(mDISCERN)评分和改良的《美国医学会杂志》(mJAMA)基准标准对所有视频进行筛选、选择、提取数据和评估。使用SPSS(版本28.0;IBM公司)进行统计分析。
本研究共分析了64个视频,其中20个来自TikTok,13个来自哔哩哔哩,31个来自YouTube。TikTok上相关视频的中位时长为3.01(四分位间距1.00 - 5.94)分钟,哔哩哔哩上为3.52(四分位间距2.36 - 5.63)分钟,YouTube上为4.86(四分位间距3.10 - 6.93)分钟。与其他两个平台相比,哔哩哔哩的视频获得了更多的点赞和评论。大多数视频(n = 40,62%)由自媒体上传。YouTube上视频的质量总体得分最高。与非专业作者上传的视频相比,专业作者上传的视频的GQS、mDISCERN和mJAMA得分显著更高。视频质量与观看次数或点赞数之间无显著相关性。然而,观看次数和点赞数显著正相关。此外,mJAMA、mDISCERN和GQS得分之间存在显著相关性。
基于网络的视频平台已成为青少年获取健康信息的重要来源。然而,视频质量与点赞数和评论数之间缺乏显著相关性,这给寻求可靠健康信息的用户带来了挑战。建议在基于网络的视频平台的推荐算法中考虑健康信息视频的质量。