Wang, Luyao, Bo Zhou, Chenghui Yang, Shuya Pan, Yulan Huang, and Jinyu Wang. The effect of ultrahigh altitude on the mental health of civil servants in western China based on propensity score matching. High Alt Med Biol. 24:193-200, 2023. Objective: This study aims to analyze the net effect of ultrahigh altitude on the mental health of civil servants in western China after adjusting for sociodemographic factors. Methods: A cross-sectional study was performed to survey the mental health of 2,939 civil servants working at an altitude of more than 1,500 m in 13 areas of the Tibetan Qiang Autonomous Prefecture of Ngawa using the Insomnia Severity Index Questionnaire, 7-item Generalized Anxiety Disorder Scale, and Patient Health Questionnaire-9. Ultrahigh altitude refers to an area above 3,500 m above sea level, which may have an impact on the sleep and mood of residents. Therefore, our research was divided into two groups based on altitude (ultrahigh altitude >3,500 m; high altitude = 1,500-3,400 m). Propensity score matching (PSM) was used to control for sociodemographic factors and compare the differences in mental health between the two groups. Results: After kernel matching, the mean bias of the covariates was reduced from 21.6 to 1.8. The severity of insomnia, depression, and anxiety in civil servants at ultrahigh altitudes was still significantly greater than that in civil servants at high altitudes after controlling for sociodemographic factors, and the average treatment effects on the treated were 1.39, 1.35, and 0.80, respectively; the results were significant (α < 0.01). PSM regression analysis further showed that for every 100 m increase in altitude, the severity of anxiety, depression, and insomnia increased by 0.042 points (p < 0.001), 0.063 points (p < 0.001), and 0.070 points (p < 0.001), respectively, all of which were higher than those obtained with ordinary least squares regression. Conclusion: Ultrahigh altitude significantly increases the severity of insomnia, depression, and anxiety after adjusting for sociodemographic factors.
Keywords: PSM; altitude; civil servants; mental health.