Understanding the Interplay Between Stress, Anxiety, and Depression and Their Impact on Health in Traffic Police Officers: A Structural Equation Modeling Study (Dataset)

Background: 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. Methods: 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). Results: Gender differences were observed, with women reporting more significant issues related to muscular, hormonal, and cognitive symptoms. The models demonstrated a good fit, particularly in the model examining digestive symptoms. Conclusions: 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. The results align with previous research and underscore the need for targeted interventions to address the health challenges faced by these specialized police groups exposed to daily stressors.

研究背景：交通警务人员长期暴露于压力、焦虑与抑郁情绪之中，此类负面状态会对其健康产生不利影响。本研究假设，上述情绪因素会对交通警务人员的激素系统、肌肉系统、消化系统以及认知系统造成影响。
研究方法：本研究纳入146名交通警务人员作为研究样本，其中女性42名、男性104名，年龄区间为30至38岁。研究对不同性别间的症状差异展开分析，并采用卡方（chi-square）、比较拟合指数（comparative fit index, CFI）、近似均方根误差（root mean square error of approximation, RMSEA）以及标准化残差均方根（standardized root means residual, SRMR）等指标对模型拟合优度进行评估。
研究结果：本研究发现存在显著的性别差异，女性报告的肌肉、激素及认知相关症状问题更为突出。各模型均展现出良好的拟合效果，其中针对消化系统症状的模型拟合表现尤为出色。
研究结论：本研究结果表明，压力、焦虑与抑郁情绪对交通警务人员的健康具有显著负面影响。建议在各交通警务执勤站点提供心理支持与健康监测服务。本次研究结果与既往研究成果相符，同时强调了针对这类长期暴露于日常应激源的特殊警务群体，需采取针对性干预措施以应对其面临的健康挑战。