Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 35 min ago
Peer-reviewedCC BYCancer reports (Hoboken, N.J.)

Creator Type, Content Format, and Engagement Among Highly Liked Cancer‐Related TikTok Search Results: A Cross‐Sectional Content Analysis

  1. 1University of Virginia School of Medicine, Charlottesville, Virginia, USA.
  2. 2University of Maryland School of Dentistry, Baltimore, Maryland, USA.
  3. 3Department of Surgery, University of Virginia, Charlottesville, Virginia, USA.

Abstract

Background

Engagement differences by creator type among highly liked cancer-related TikTok videos remain unclear.Methods

We analyzed 250 videos from five cancer searches, selecting the first 50 results per search filtered to the preceding six months and sorted by likes. Health professionals or trainees were classified as medical. The primary analysis modeled log-transformed views by creator type, adjusting for followers, video age, content type, and cancer search.Results

Adjusted views showed no significant difference (ratio, 0.90; 95% CI, 0.44-1.85; p = 0.773). Medical creators had a higher adjusted share rate (ratio, 2.01; 95% CI, 1.24-3.24; Holm-adjusted p = 0.026). Median views per follower were lower for medical creators (2.55 vs. 16.40; ratio, 0.16; 95% CI, 0.06-0.45; Holm-adjusted p = 0.003).Conclusions

Despite no clear difference in absolute views, lower views per follower raise the possibility that medical creators have more limited reach beyond established audiences than nonmedical creators, while greater sharing may broaden distribution.

Related

  1. Quality and reliability of sarcopenia-related short videos on Douyin : A cross-sectional content analysis
    Ting Zhang, Jiabei Wu, Jinli Guo
    MedicinePeer-reviewedCC BY-NCFull textGeneral medicineEurope PMC
  2. Navigating Suicide-Related Online Content in Individuals With Lived Experience of Suicidality: Cross-Sectional Survey.
    Jacob Greaves, Dafni Katsampa, Lydia Grace +4
    Journal of medical Internet researchPeer-reviewedCC BYFull textPsychiatry & mental healthEurope PMCDOAJ
  3. Mental health, coping and related risk factors during the first 2 years of the COVID-19 pandemic in children: Nationally representative, multi-wave, cross-sectional results from 12 countries from the global COH-FIT study
    Agorastos Agorastos, Trevor Thompson, Marco Solmi +211
    European NeuropsychopharmacologyPeer-reviewedCC BY2 citedGeneral biologyPsychiatry & mental healthHAL
  4. Content, Engagement, and Information Quality of Borderline Personality Disorder Videos on TikTok: Mixed Methods Analysis.
    Gabrielle Evoy, Simon Poirier, Majorie Vadnais +1
    JMIR formative researchPeer-reviewedCC BYFull textGeneral medicineEurope PMCDOAJ
  5. Professional engagement and implementation appraisal in China’s national nutrition week: a nationwide cross-sectional study
    Qingshuang Wei, Kui Yao, Li Xiao +4
    BMC Public HealthPeer-reviewedCC BY-NC-ND 4.0Epidemiology & public healthCrossref
BibTeX
@article{ju2026creator,
  title = {{Creator Type, Content Format, and Engagement Among Highly Liked Cancer‐Related TikTok Search Results: A Cross‐Sectional Content Analysis}},
  author = {Eunice Y Ju and Esther D Ju and Russell G Witt},
  journal = {Cancer reports (Hoboken, N.J.)},
  year = {2026},
  month = oct,
  doi = {10.1002/cnr2.70734},
  url = {https://europepmc.org/article/PMC/PMC13722130},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Creator Type, Content Format, and Engagement Among Highly Liked Cancer‐Related TikTok Search Results: A Cross‐Sectional Content Analysis
AU  - Eunice Y Ju
AU  - Esther D Ju
AU  - Russell G Witt
PY  - 2026
DA  - 2026/10/30
JO  - Cancer reports (Hoboken, N.J.)
DO  - 10.1002/cnr2.70734
UR  - https://europepmc.org/article/PMC/PMC13722130
AB  - Background  Engagement differences by creator type among highly liked cancer-related TikTok videos remain unclear.Methods  We analyzed 250 videos from five cancer searches, selecting the first 50 results per search filtered to the preceding six months and sorted by likes. Health professionals or trainees were classified as medical. The primary analysis modeled log-transformed views by creator type, adjusting for followers, video age, content type, and cancer search.Results  Adjusted views showed no significant difference (ratio, 0.90; 95% CI, 0.44-1.85; p = 0.773). Medical creators had a higher adjusted share rate (ratio, 2.01; 95% CI, 1.24-3.24; Holm-adjusted p = 0.026). Median views per follower were lower for medical creators (2.55 vs. 16.40; ratio, 0.16; 95% CI, 0.06-0.45; Holm-adjusted p = 0.003).Conclusions  Despite no clear difference in absolute views, lower views per follower raise the possibility that medical creators have more limited reach beyond established audiences than nonmedical creators, while greater sharing may broaden distribution.
SN  - 2573-8348
ER  -