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Examining the Key Topics in Research Articles on Burnout Among Firefighters, Police Officers, and First Responders: A Topic Modeling Analysis

  • Matthew Rensi,
  • Mindi Barta,
  • Jennifer Moreno,
  • Rachel McCullough,
  • Ronald Glaus,
  • Robert Lundblad,
  • Chung-Fan Ni,
  • Cass Dykeman

摘要

This study uses topic modeling to analyze research on burnout among firefighters, police, and first responders. The corpus contains 148 abstracts and 29,517 words. Latent Dirichlet Allocation identified 8 key topics, including mental health factors like PTSD, substance abuse, and suicide, as well as organizational factors like job demands and social support. The study found limited focus on prevention and cultural nuances. It proposes developing comprehensive models incorporating lesser-known factors and subtle cultural contexts to better understand and reduce burnout in these critical professions.