Understanding the interplay between stress, anxiety, and depression and their impact on health in traffic police officers

TL;DR

This study explores how stress, anxiety, and depression affect the health of traffic police officers, revealing gender differences and the need for mental health support.

Contribution

The study advances understanding of psychophysiological effects in high-stress occupations using predictive modeling and suggests targeted mental health interventions.

Findings

Women reported more significant muscular, hormonal, and cognitive symptoms compared to men.

The model examining digestive symptoms showed a good fit with strong statistical indicators.

Stress, anxiety, and depression were found to have a substantial impact on the health of traffic police officers.

Abstract

Traffic police officers are frequently exposed to stress, anxiety, and depression, which adversely impact their health. This study hypothesized that these factors influence the hormonal, muscular, digestive, and cognitive systems of traffic police officers.

The sample comprised 146 traffic police officers (42 women and 104 men) aged 30 to 38. Gender differences in symptoms were examined, and model fit was assessed using indicators such as chi-square, comparative fit index, root mean square error of approximation (RMSEA), and standardized root means residual (SRMR).

Gender differences were observed, with women reporting more significant issues related to muscular (t = 2.77, p = .003), hormonal (t = 2.29, p = .001), and cognitive symptoms (t = 1.37, p = .08). The models demonstrated a good fit, particularly in the model examining digestive symptoms (CFI.95, RMSEA.06 (.05 -.08), SRMR.04).

The findings indicate a substantial impact of stress, anxiety, and depression on traffic police officers’ health. Psychological support and monitoring are recommended at traffic police stations.

This research offers essential academic contributions by advancing understanding of the psychophysiological effects of stress, anxiety, and depression in high-stress occupations, using predictive modeling. Practically, the findings support the development of targeted mental health interventions and preventive strategies tailored to traffic police officers, contributing to improved occupational health and job performance.

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