RESUMEN
Importance: Seborrheic dermatitis is a prevalent chronic inflammatory skin disease, yet its global prevalence, pathogenesis, and epidemiology remain inadequately defined. Objective: To provide a detailed estimation of the global prevalence of seborrheic dermatitis, analyze demographic variations, and explore differences in various settings. Data Sources: Embase, PubMed, Scopus, and Cochrane Database of Systematic Reviews were searched from inception through October 2023. Study Selection: Original investigations on seborrheic dermatitis prevalence were included after duplicate screening of titles, abstracts, and full articles, including only studies with clinician-diagnosed cases. Data Extraction and Synthesis: Following PRISMA guidelines, data were extracted and quality was assessed independently by multiple reviewers. A random-effects model using restricted maximum likelihood was used for meta-analysis and subgroup analyses. Main Outcome and Measure: The primary outcome was the pooled estimate of global seborrheic dermatitis prevalence. Results: From 1574 identified articles, 121 studies were included, encompassing 1â¯260â¯163 individuals and revealing a pooled global seborrheic dermatitis prevalence of 4.38% (95% CI, 3.58%-5.17%), with significant heterogeneity (I2 = 99.94%). Subgroup analyses showed variations by age, with a higher prevalence in adults (5.64% [95% CI, 4.01%-7.27%]) compared to children (3.70% [95% CI, 2.69%-4.80%]) and neonates (0.23% [95% CI, 0.04%-0.43%]). Geographic analyses indicated variability, with the highest prevalence in South Africa (8.82% [95% CI, 3.00%-14.64%]) and the lowest in India (2.62% [95% CI, 1.33%-3.92%]). Conclusions and Relevance: This comprehensive meta-analysis provides a detailed estimation of the global prevalence of seborrheic dermatitis, highlighting significant variability across different demographics and settings.
RESUMEN
Seborrheic dermatitis (SD) is a common, burdensome inflammatory skin disorder. Little is known about the identity and quality of videos patients consume on social media to better understand and manage SD. We evaluated three social media platforms-YouTube, TikTok, and Instagram-for content, quality, and popularity. Search terms "seborrheic dermatitis," "dandruff," "cradle cap," and "flaky scalp" identified videos on each platform. The first 50 videos for each keyword were analyzed. After screening, 147 YouTube, 132 Instagram, and 164 TikTok videos were included. Videos were characterized by upload source (healthcare provider/organization [HCP]/non-HCP), quality (accurate/misleading/non-informative), content (educational/personal xperience/entertainment/advertisement), and number of likes/views. Data were analyzed by chi square (categorical) or Kruskal-Wallis (continuous) tests. YouTube contained a higher proportion of videos vs. TikTok and Instagram that were made by HCPs (42.2/19.7/17.7%, respectively) and contained more accurate (52.4/28.0/32.9%), and educational (66.7/38.6/34.4%) content (p < 0.0001 for all). Non-HCPs were responsible for creating the majority of videos across platforms along with most inaccurate/non-informative (65.9/86.8/78.6%) and non-educational (56.5/75.5/71.1%) content (p < 0.0001 for all). Despite lower quality of content and information, TikTok videos had the highest mean views (2,418,872) and likes (184,395) (p < 0.0001 for all). HCP vs. non-HCP-made videos were viewed more frequently only on YouTube. Though views and likes were common for all inaccurate and entertainment/advertisement content, they were most characteristic of TikTok and Instagram (p < 0.0001). These results show a high volume of SD video consumption across all platforms, especially those with lower quality and less informative content, and significant content difference across platforms. Additional studies are needed to better characterize online SD educational content and optimize HCP-led video creation and patient video consumption.