Attention-Deficit/Hyperactivity Disorder (ADHD) on TikTok: A cross-sectional study on the quality and perception of ADHD-content on TikTok (Preprint) DOI
Katharina Sieferle, T. Guidi,

Florence Dorr

et al.

Published: April 17, 2025

BACKGROUND Social media platforms are increasingly used for both sharing and seeking of health-related information online. Especially TikTok has become one the most widely social networking over last few years. One topic trending on recently is Attention Deficit/Hyperactivity Disorder (ADHD). However, accuracy remains a significant concern. Misleading ADHD can increase stigmatization lead to false “self-diagnosis”, pathologizing normal behavior overuse care. OBJECTIVE This study aims at investigating occurrence misleading in videos about exploring amount potential self-diagnosis among viewers based an in-depths analysis video comments. METHODS We scraped data from 124 liked ADHD-related uploaded between March 2022 November 2023 using commercial scraping software. categorised usefulness their content as "misleading", "personal experience" or "useful" Patient Education Materials Assessment Tool Audiovisual (PEMAT-A/V) evaluate quality regarding understandability actionability. By purposive sampling we selected six analyzed 100 randomly user comments per understand extent self-identification with ADHD-behaviour viewers. All qualitative analyses were carried out independently by least two authors, disagreement was resolved discussion. Using SPSS 27, calculated interrater reliability raters descriptive statistics creator characteristics. one-way ANOVA compare videos. RESULTS assessed 51% misleading, 30% personal experience, 19% useful. The PEMAT-A/V scores actionability 79.5% 5.1%, respectively, highest observed useful (92.3% understandability, 8.3% actionability). Viewers resonated behaviours depicted 36.7% 5.3% self-attribution behavioural patterns varied significantly, depending videos, experience showing (102/600, 17% comments, P<.001). For ADHD, found no difference (P=.359). CONCLUSIONS A high proportion percentage seem self-identify symptoms presented. Self-identification common experiences, but also occurs potentially increasing misdiagnosis. highlights need critically health healthcare professionals address misconceptions arising these platforms.

Language: Английский

Attention-Deficit/Hyperactivity Disorder (ADHD) on TikTok: A cross-sectional study on the quality and perception of ADHD-content on TikTok (Preprint) DOI
Katharina Sieferle, T. Guidi,

Florence Dorr

et al.

Published: April 17, 2025

BACKGROUND Social media platforms are increasingly used for both sharing and seeking of health-related information online. Especially TikTok has become one the most widely social networking over last few years. One topic trending on recently is Attention Deficit/Hyperactivity Disorder (ADHD). However, accuracy remains a significant concern. Misleading ADHD can increase stigmatization lead to false “self-diagnosis”, pathologizing normal behavior overuse care. OBJECTIVE This study aims at investigating occurrence misleading in videos about exploring amount potential self-diagnosis among viewers based an in-depths analysis video comments. METHODS We scraped data from 124 liked ADHD-related uploaded between March 2022 November 2023 using commercial scraping software. categorised usefulness their content as "misleading", "personal experience" or "useful" Patient Education Materials Assessment Tool Audiovisual (PEMAT-A/V) evaluate quality regarding understandability actionability. By purposive sampling we selected six analyzed 100 randomly user comments per understand extent self-identification with ADHD-behaviour viewers. All qualitative analyses were carried out independently by least two authors, disagreement was resolved discussion. Using SPSS 27, calculated interrater reliability raters descriptive statistics creator characteristics. one-way ANOVA compare videos. RESULTS assessed 51% misleading, 30% personal experience, 19% useful. The PEMAT-A/V scores actionability 79.5% 5.1%, respectively, highest observed useful (92.3% understandability, 8.3% actionability). Viewers resonated behaviours depicted 36.7% 5.3% self-attribution behavioural patterns varied significantly, depending videos, experience showing (102/600, 17% comments, P<.001). For ADHD, found no difference (P=.359). CONCLUSIONS A high proportion percentage seem self-identify symptoms presented. Self-identification common experiences, but also occurs potentially increasing misdiagnosis. highlights need critically health healthcare professionals address misconceptions arising these platforms.

Language: Английский

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