TherapyTok for Depression and Anxiety: A Quantitative Content Analysis of High Engagement TikTok Videos

焦虑 心理健康 内容分析 心理学 萧条(经济学) 归属 医学 精神科 社会心理学 社会科学 社会学 经济 宏观经济学
作者
Litty Samuel,K.F. Kuijpers,Amy Bleakley
出处
期刊:Journal of Adolescent Health [Elsevier]
被引量:3
标识
DOI:10.1016/j.jadohealth.2024.02.002
摘要

Purpose TikTok is increasingly becoming a source of health information, peer support, and validation regarding mental health. The goal of this study was to analyze the content of TikTok videos related to depression and anxiety. Methods The sample included 100 videos, each with at least a million views, discussing either depression, anxiety, or both. The videos were retrieved from hashtag searches. The videos were coded for the type of mental health condition; specific content being discussed (e.g., symptoms or treatment); video presentation (i.e., personal experience, expert information, or general discussion), and more subcategories. Engagement statistics (i.e., likes, views, reposts, and number of comments) for each video were also recorded. Results The engagement statistics were higher for personal experience videos than for videos from healthcare professionals. Anxiety was the subject of 57% of the videos irrespective of the search hashtags, and over two-thirds of the videos were created by females. The most discussed topics included the description or enactment of depression/anxiety symptoms (e.g., emotional displays); mention of being diagnosed by a healthcare professional was the least prevalent. Discussion These results suggest that depression and anxiety videos featuring personal experiences are prevalent on TikTok with higher engagement compared to similar videos by health professionals. The attribution of generic symptoms to these mental health conditions may result in self-diagnosis. There is a need for more strategic efforts to ensure quality of health content on TikTok and increased focus on digital health literacy to make young social media users critical consumers of online content.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
sandy完成签到,获得积分10
1秒前
wanci应助霸气的金鱼采纳,获得10
1秒前
隋同学完成签到,获得积分10
3秒前
LZY发布了新的文献求助10
4秒前
勤恳的语蓉完成签到,获得积分10
4秒前
7秒前
哎嘿应助Caffery采纳,获得20
8秒前
Down完成签到,获得积分10
10秒前
11秒前
liaoyuxue完成签到,获得积分10
11秒前
ty完成签到 ,获得积分10
13秒前
14秒前
theThreeMagi发布了新的文献求助10
15秒前
tsss完成签到,获得积分10
16秒前
18秒前
18秒前
20秒前
ella发布了新的文献求助10
20秒前
20秒前
21秒前
lifanbloom应助JAYZHANG采纳,获得10
21秒前
23秒前
TT发布了新的文献求助10
23秒前
小姚姚完成签到,获得积分10
24秒前
theThreeMagi完成签到,获得积分10
25秒前
领导范儿应助清爽灰狼采纳,获得10
25秒前
哈哈哈发布了新的文献求助10
25秒前
NYM完成签到 ,获得积分10
26秒前
TANG完成签到 ,获得积分10
27秒前
27秒前
遇见胡桃夹子完成签到,获得积分10
28秒前
30秒前
momo完成签到,获得积分10
31秒前
31秒前
黑鲨完成签到 ,获得积分10
31秒前
32秒前
TomasLiu完成签到,获得积分10
33秒前
yuanshengyouji完成签到,获得积分20
33秒前
我的miemie发布了新的文献求助20
33秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3148173
求助须知:如何正确求助?哪些是违规求助? 2799264
关于积分的说明 7834331
捐赠科研通 2456531
什么是DOI,文献DOI怎么找? 1307282
科研通“疑难数据库(出版商)”最低求助积分说明 628124
版权声明 601655