College of Education Science, Minnan Normal University, Zhangzhou 363000, China.
Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Int J Environ Res Public Health. 2020 Apr 16;17(8):2737. doi: 10.3390/ijerph17082737.
Police mental health is important because police officers usually encounter stressors that cause high levels of stress. In order to better understand mental health for Chinese police, the Zung Self-Rating Depression Scale (SDS) and Symptom Checklist 90-Revised (SCL-90-R) are commonly used in mainland China. Unfortunately, both the SDS and SCL-90-R lack detailed information on their psychometric properties. More specifically, factor structures of the SDS and SCL-90-R have yet to be confirmed among the police population in mainland China. Therefore, the present study compared several factor structures of the SDS and SCL-90-R proposed by prior research and to determine an appropriate structure for the police population. Utilizing cluster sampling, 1151 traffic police officers (1047 males; mean age = 36.6 years [SD = 6.10]) from 49 traffic police units in Jiangxi Province (China) participated in this study. Confirmatory factor analysis (CFA) with Akaike information criterion (AIC) was used to decide the best fit structure. In the SDS, the three-factor model (first posited by Kitamura et al.) had the smallest AIC and outperformed other models. In the SCL-90-R, the eight-factor model had the smallest AIC and outperformed the one-factor and nine-factor models. CFA fit indices also showed that both the three-factor model in the SDS and the eight-factor model in the SCL-90-R had satisfactory fit. The present study's results support the use of both SDS and SCL-90-R for police officers in mainland China.
警察的心理健康很重要,因为警察通常会遇到导致高度压力的压力源。为了更好地了解中国警察的心理健康,在中国大陆,常使用zung 自评抑郁量表(SDS)和症状清单 90 修订版(SCL-90-R)。不幸的是,SDS 和 SCL-90-R 都缺乏关于其心理测量特性的详细信息。更具体地说,SDS 和 SCL-90-R 的因子结构尚未在中国大陆的警察群体中得到确认。因此,本研究比较了之前研究提出的 SDS 和 SCL-90-R 的几种因子结构,并确定了适合警察群体的结构。利用聚类抽样,本研究从江西省的 49 个交通警察单位中选取了 1151 名交通警察(1047 名男性;平均年龄=36.6 岁[SD=6.10])参与了这项研究。使用赤池信息量准则(AIC)的验证性因子分析(CFA)来确定最佳拟合结构。在 SDS 中,三因素模型(最初由北村等人提出)具有最小的 AIC,优于其他模型。在 SCL-90-R 中,八因素模型具有最小的 AIC,优于一因素和九因素模型。CFA 拟合指数也表明,SDS 中的三因素模型和 SCL-90-R 中的八因素模型都具有令人满意的拟合度。本研究结果支持在中国内地使用 SDS 和 SCL-90-R 对警察进行评估。