ORIGINAL PAPER
Psychobiological risk assessment in emergency medical service drivers: study protocol for structural equation modeling
 
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1
Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
 
2
Department of Clinical Science and Education, Karolinska Institute, Stockholm, Sweden
 
3
Behavioral Sciences Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
 
4
Nursing Faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran
 
5
Institute of Psychology, University of Gdansk, Gdansk, Poland
 
6
Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
 
7
DPFA Academy, Group Academy of Work and Health, Leipzig, Germany
 
 
Submission date: 2020-07-26
 
 
Final revision date: 2020-08-26
 
 
Acceptance date: 2020-08-26
 
 
Online publication date: 2020-10-01
 
 
Publication date: 2020-10-01
 
 
Health Psychology Report 2020;8(4):453-461
 
KEYWORDS
TOPICS
ABSTRACT
Background:
Job stress can lead to several complications including physical, psychological, and behavioral consequences. Emergency medical services (EMS) drivers are more likely to be exposed to stress than other occupations due to the nature of their job. High-risk driving and stress-related psychological responses can have irretrievable consequences. Therefore, increasing the amount of attention to traffic psychology and periodic psychobiological risk assessment for this group are essential. Hence, this paper tries to present how to develop a validated battery for assessing psychobiological risk assessment (PBRA) based on bio-centric health management (BHM).

Participants and procedure:
The study will be conducted in two methodological and modeling phases: In the methodological phase, the psychometric proper-ties of the Health Cube Battery (HCB) will be analyzed, and in the second phase, researchers will model BHM in Iran using a structural equation model (SEM).

Results:
The study population consists of EMS drivers. The tool that will be developed in this study is an HCB, which consists of dif-ferent dimensions of BHM.

Conclusions:
At the end of the study, a standard HCB will be developed and validated. Also, the BHM model will be mapped based on psy-chobiological risk assessment for EMS drivers. Other researchers can also cross-culturally adapt and use the battery, and the model could be adopted for other contexts and cultures.

 
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