Engagement With HPV-Related Content on Instagram: A Cross-Sectional Descriptive and Comparative Analysis of Posts Retrieved Through Four Hashtags
Journal of Cancer Research Updates, cilt.15, sa.3, ss.219-228, 2026 (Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 15 Sayı: 3
- Basım Tarihi: 2026
- Doi Numarası: 10.30683/1929-2279.2026.15.20
- Dergi Adı: Journal of Cancer Research Updates
- Derginin Tarandığı İndeksler: Scopus
- Sayfa Sayıları: ss.219-228
- Anahtar Kelimeler: Health Communication, Information Dissemination, Online Social Networking, Papillomavirus Infections, Social Media, Uterine Cervical Neoplasms
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Kütahya Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
This cross-sectional descriptive and comparative study described HPV-related Instagram posts retrieved through four predefined hashtags and examined associations of current follower count, account type, caption language, and post age with like and comment counts. Publicly available posts published between March 5, 2014, and September 15, 2025, were retrieved on October 15, 2025, using Instaloader. After non-post records and duplicates were removed, 1,281 unique posts from 685 accounts were included. Negative binomial generalized estimating equation models accounted for clustering within accounts and adjusted for current follower count, post age, account type, and caption language. Account-clustered negative binomial regression was used as a sensitivity analysis. Median engagement was 3 likes (IQR, 0 to 16) and 0 comments (IQR, 0 to 1). Each doubling of current follower count was associated with higher like counts (adjusted incidence rate ratio [aIRR], 1.43; 95% CI, 1.37 to 1.50) and comment counts (aIRR, 1.43; 95% CI, 1.32 to 1.54). Each doubling of post age was also associated with higher like counts (aIRR, 1.33; 95% CI, 1.14 to 1.56) and comment counts (aIRR, 1.39; 95% CI, 1.18 to 1.64). Influencer or advocacy accounts did not differ significantly from healthcare professional accounts after adjustment, and caption language was not associated with either outcome. Sensitivity analyses were consistent. Current follower count and post age were associated with accumulated engagement, but these findings should not be interpreted as evidence of content quality, professional authority, historical visibility, or direct public health impact.