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Published on in Vol 10 (2026)

This is a member publication of

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83562, first published .
Two young Black women in athletic wear smiling and looking at a smartphone outdoors.

Examining Social Media User Types and the Impact on a Reproductive Health Web-Based Intervention for Young People in Francophone West Africa: Randomized Factorial Design Using Latent Class Analysis

Examining Social Media User Types and the Impact on a Reproductive Health Web-Based Intervention for Young People in Francophone West Africa: Randomized Factorial Design Using Latent Class Analysis

Leona M Ofei   1 , MPH, PhD ;   Nikolas Wianecki   1 , MPH ;   Kyeongwon Kim   1 , MHS, MS ;   Catherine Crespi   2 , PhD ;   Deffa Wane   3 , PhD ;   Rabiatou Sangare   3 , MA ;   Alexandre Rideau   3 , MA ;   Mbathio Diaw   3 , MA ;   Philip M Massey   1 , MPH, PhD

1 Department of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States

2 Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States

3 RAES: Réseau Africain de l'Education et de la Santé, Dakar, Senegal

Corresponding Author:

  • Philip M Massey, MPH, PhD
  • Department of Community Health Sciences
  • Fielding School of Public Health, University of California, Los Angeles
  • 650 Charles E Young Drive S, 3rd Floor CHS Department
  • Los Angeles, CA 90095
  • United States
  • Phone: 1 424-259-5954
  • Email: pmassey@ucla.edu