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Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis

BACKGROUND: Social media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness. OBJECTIVE:...

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Detalles Bibliográficos
Autores principales: Basch, Corey H, Donelle, Lorie, Fera, Joseph, Jaime, Christie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164092/
https://www.ncbi.nlm.nih.gov/pubmed/35588057
http://dx.doi.org/10.2196/38340
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author Basch, Corey H
Donelle, Lorie
Fera, Joseph
Jaime, Christie
author_facet Basch, Corey H
Donelle, Lorie
Fera, Joseph
Jaime, Christie
author_sort Basch, Corey H
collection PubMed
description BACKGROUND: Social media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness. OBJECTIVE: The aim of this study was to describe the content of the hashtag #mentalhealth on TikTok. METHODS: This cross-sectional, descriptive content analysis study included 100 videos with the hashtag #mentalhealth on TikTok. All videos that included the hashtag #mentalhealth were analyzed and coded for the presence of content categories. Additionally, the comments to each video were viewed and coded for content in the following themes: offering support or validation; mentioning experience with suicide or suicidal ideation; mentioning experience with self-harm; describing an experience with hospitalization for mental health issues; describing other mental health issues; and sharing coping strategies, experiences of healing, or ways to feel better. RESULTS: Collectively, the 100 videos studied received 1,354,100,000 views; 266,900,000 likes; and 2,515,954 comments. On average, each video received 13,406,930.69 (SD 8,728,095.52) views; 2,657,425.74 (SD 1,449,920.45) likes; and 24,910.44 (SD 21,035.06) comments. The only content category observed in most (51/100, 51%) of the videos included in the sample was “general mental health.” The remaining content categories appeared in less than 50% of the sample. In total, 32% (32/100) of the videos sampled received more than the overall average number of likes (ie, more that 2.67 million likes). Among these 32 videos, 23 (72%) included comments offering support or validation and 20 (62%) included comments that described other mental health issues or struggles. CONCLUSIONS: With over 1 billion cumulative views, almost half of the assessed TikTok videos included in this study reported or expressed symptoms of mental distress. Future research should focus on the potential role of intervention by health care professionals on social media.
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spelling pubmed-91640922022-06-05 Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis Basch, Corey H Donelle, Lorie Fera, Joseph Jaime, Christie JMIR Form Res Original Paper BACKGROUND: Social media platforms that are based on the creation of visual media, such as TikTok, are increasingly popular with adolescents. Online social media networks provide valuable opportunities to connect with each other to share experiences and strategies for health and wellness. OBJECTIVE: The aim of this study was to describe the content of the hashtag #mentalhealth on TikTok. METHODS: This cross-sectional, descriptive content analysis study included 100 videos with the hashtag #mentalhealth on TikTok. All videos that included the hashtag #mentalhealth were analyzed and coded for the presence of content categories. Additionally, the comments to each video were viewed and coded for content in the following themes: offering support or validation; mentioning experience with suicide or suicidal ideation; mentioning experience with self-harm; describing an experience with hospitalization for mental health issues; describing other mental health issues; and sharing coping strategies, experiences of healing, or ways to feel better. RESULTS: Collectively, the 100 videos studied received 1,354,100,000 views; 266,900,000 likes; and 2,515,954 comments. On average, each video received 13,406,930.69 (SD 8,728,095.52) views; 2,657,425.74 (SD 1,449,920.45) likes; and 24,910.44 (SD 21,035.06) comments. The only content category observed in most (51/100, 51%) of the videos included in the sample was “general mental health.” The remaining content categories appeared in less than 50% of the sample. In total, 32% (32/100) of the videos sampled received more than the overall average number of likes (ie, more that 2.67 million likes). Among these 32 videos, 23 (72%) included comments offering support or validation and 20 (62%) included comments that described other mental health issues or struggles. CONCLUSIONS: With over 1 billion cumulative views, almost half of the assessed TikTok videos included in this study reported or expressed symptoms of mental distress. Future research should focus on the potential role of intervention by health care professionals on social media. JMIR Publications 2022-05-19 /pmc/articles/PMC9164092/ /pubmed/35588057 http://dx.doi.org/10.2196/38340 Text en ©Corey H Basch, Lorie Donelle, Joseph Fera, Christie Jaime. Originally published in JMIR Formative Research (https://formative.jmir.org), 19.05.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Basch, Corey H
Donelle, Lorie
Fera, Joseph
Jaime, Christie
Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
title Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
title_full Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
title_fullStr Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
title_full_unstemmed Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
title_short Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
title_sort deconstructing tiktok videos on mental health: cross-sectional, descriptive content analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164092/
https://www.ncbi.nlm.nih.gov/pubmed/35588057
http://dx.doi.org/10.2196/38340
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