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

被引:0
|
作者
Rensi, Matthew [1 ]
Barta, Mindi [2 ]
Moreno, Jennifer [3 ]
McCullough, Rachel [4 ]
Glaus, Ronald [5 ]
Lundblad, Robert [4 ]
Ni, Chung-Fan [3 ]
Dykeman, Cass [6 ]
机构
[1] Western Seminary, Counseling Acad Unit, 6601 Camden Ave, San Jose, CA 95120 USA
[2] Bushnell Univ, Eugene, OR USA
[3] Western Oregon Univ, Monmouth, OR USA
[4] Bolante Net, Salem, OR USA
[5] Survival Psychol LLC, Salem, OR USA
[6] Oregon State Univ, Corvallis, OR USA
关键词
Burnout; Firefighters; Police officers; First responders; Topic modeling; Latent Dirichlet Allocation (LDA); CROSSOVER; MILITARY; STRESS;
D O I
10.1007/s11896-024-09703-9
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
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.
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页码:836 / 844
页数:9
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