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Abstract

<jats:p>This study aims to determine the mental health status of law enforcement personnel and to develop proposals and recommendations based on the findings. Data collection was conducted using the Maslach Burnout Inventory (MBI) to assess burnout, the Depression, Anxiety, and Stress Scale (DASS-21), and the Connor-Davidson Resilience Scale (CD-RISC-25), alongside individual interviews and documentary analysis. A total of 1,500 personnel participated in the study, comprising 59.8% (n=898) from the General Authority for Court Decision Execution, 37.2% (n=558) from the National Police Agency of Mongolia, and 3% (n=44) from the Association of Mongolian Advocates. The independent variables of the study were age, gender, years of service, education level, place of residence, and organizational affiliation, while the dependent variables were burnout, depression, anxiety, stress, and psychological resilience. In processing the quantitative results, Kolmogorov-Smirnov, Mann-Whitney U, Kruskal-Wallis H, Regression, and Correlation analyses were utilized. For the qualitative results, similarity analysis, case analysis, and documentary analysis methods were employed. The study results indicated that burnout is positively correlated with levels of depression, anxiety, and stress, whereas the specific burnout dimensions of occupational emotional exhaustion and the sense of personal accomplishment demonstrated a positive correlation with psychological resilience. Furthermore, a significant negative correlation was identified between psychological resilience and the collective levels of depression, anxiety, and stress. The findings reveal that the primary drivers of psychological distress among employees are systemic issues such as organizational instability and negative social attitudes, which underscores a critical necessity to ensure professional stability through the simultaneous development of individual coping capacities and the strengthening of organizational culture.</jats:p>

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Keywords

study anxiety stress resilience analysis

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