Rothchild Evan, Jung Geena, Wang Fei, Ricci Joseph A
Aesthet Surg J. 2024 Mar 15;44(4):436-443. doi: 10.1093/asj/sjad347.
"Prejuvenation," a practice gaining enormous popularity among younger adults, can largely attribute its explosive growth to TikTok, the platform on which many first encounter this trend. Despite the rising usage of prejuvenation, however, there is a lack of clarity regarding its clinical practice and efficacy.
To investigate the understandability, reliability, and actionability of prejuvenation-related TikTok content.
TikTok was queried using 13 hashtags consisting of popular colloquial terms associated with prejuvenation treatments, and the top 25 videos meeting inclusion criteria for each hashtag were analyzed. For each video, poster credentials and video type were determined. Videos considered "educational" were analyzed using the validated modified DISCERN score and the Patient Education Materials Assessment Tool scales. Creator's prejuvenation recommendations were recorded. Univariate and linear regression models were utilized for analysis.
A total of 303 videos amassed over 61,000,000 million views, 3,957,091 likes, 24,455 comments, and 71,697 shares. Nonphysicians posted the most videos (n = 257, 84.8%) and had significantly higher median views, likes, comments, and engagement than physician videos. Analysis of "educational" videos showed that most videos (50, 67%) supported the use of prejuvenation treatments, 18 (24%) were neutral, and 6 (8%) were opposed.
Prejuvenation content on TikTok varies widely in terms of quality and recommendations, calling for more standardization regarding the practice. Physician-generated prejuvenation content was more reliable, but distinguishing it from nonphysician content was challenging, underscoring the need for platform-specific verification tools.
“年轻化”这种做法在年轻人中越来越受欢迎,其迅猛发展在很大程度上要归功于TikTok,许多人正是在这个平台上首次接触到这一潮流。然而,尽管年轻化的使用越来越多,但关于其临床实践和疗效仍缺乏明确认识。
调查TikTok上与年轻化相关内容的可理解性、可靠性和可操作性。
使用13个由与年轻化治疗相关的流行俗语组成的标签在TikTok上进行查询,并对每个标签符合纳入标准的前25个视频进行分析。对于每个视频,确定发布者的资质和视频类型。使用经过验证的改良DISCERN评分和患者教育材料评估工具量表对被认为“具有教育意义”的视频进行分析。记录创作者的年轻化建议。采用单变量和线性回归模型进行分析。
共有303个视频获得了超过6.1亿次的观看量、395.7091万个赞、24455条评论和71697次分享。非医生发布的视频最多(n = 257,84.8%),其视频的中位数观看量、点赞数、评论数和参与度显著高于医生发布的视频。对“具有教育意义”的视频分析表明,大多数视频(50个,67%)支持使用年轻化治疗,18个(24%)持中立态度,6个(8%)表示反对。
TikTok上的年轻化内容在质量和建议方面差异很大,需要对这种做法进行更多标准化。医生生成的年轻化内容更可靠,但将其与非医生内容区分开来具有挑战性,这凸显了对特定平台验证工具的需求。