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Analysis of job burnout level differences and influencing factors among female employees at the Centers for Disease Control and Prevention, Yunnan
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Yi-xuan CHEN1, Han-lin NIE2, Wan-jin YANG2, Xue-feng SHI1
Modern Preventive Medicine | 2025, 52(22) : 4072 - 4077
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Modern Preventive Medicine | 2025, 52(22): 4072-4077
• Environmental and Occupational Health •
Analysis of job burnout level differences and influencing factors among female employees at the Centers for Disease Control and Prevention, Yunnan
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Yi-xuan CHEN1, Han-lin NIE2, Wan-jin YANG2, Xue-feng SHI1
Affiliations
  • School of Management, Beijing University of Chinese Medicine, Beijing 100029, China
Published: 2025-11-25 doi: 10.20043/j.cnki.MPM.202506060
Outline
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Objective

To explore the differences in job burnout among female employees at different levels of the Centers for Disease Control and Prevention(CDCs)in Yunnan Province, along with its influencing factors, to provide information for reducing the prevalence of job burnout among female CDC employees, and stabilizing the CDC workforce.

Methods

A combination of stratified and random sampling methods was employed to survey female employees of all CDCs in Yunnan Province. The survey was conducted from March to April 2024 using the Maslach Burnout Inventory-General Survey(MBI-GS). Using Chi-square test, binary logistic regression, and Fairlie decomposition methods, this study analyzed the influencing factors, level differences, and their main causes of job burnout among female CDC employees.

Results

The overall job burnout rate among 4 257 female CDC employees was 83.58%. Specifically, the burnout rate was 81.09% among those employees at provincial and prefectural levels and 84.39% among county-level, with the difference being statistically significant(χ2=6.279, P=0.012). Regression results indicated that age 45-54 years(OR=0.521, 95% CI: 0.278-0.977), intermediate or senior professional titles(OR=1.907, 95% CI: 1.123-3.237; OR=2.219, 95% CI: 1.183-4.166), workload(OR=1.833, 95% CI: 1.312-2.562), and general sleep quality(OR=0.618, 95% CI: 0.420-0.910)were identified as factors influencing job burnout among female employees at provincial and prefectural levels CDC; Age groups(OR=0.645, 95% CI: 0.471-0.883; OR=0.526, 95% CI: 0.364-0.762; OR=0.306, 95% CI: 0.159-0.589), welfare levels(OR=0.635, 95% CI: 0.501-0.806; OR=0.365, 95% CI: 0.262-0.508), workload(OR=1.320, 95% CI: 1.075-1.621), attention to CDC reforms(OR=0.613, 95% CI: 0.477-0.786), and sleep quality(OR=0.563, 95% CI: 0.440-0.720; OR=0.353, 95% CI: 0.261-0.477)were identified as factors influencing job burnout among female employees at county-level CDC. The Fairlie decomposition results indicated that 58.37% of the level differences in job burnout were caused by the characteristic effect and 41.63% by the coefficient effect.

Conclusion

Female CDC employees in Yunnan Province exhibit a relatively high rate of job burnout, with significant variations observed across different levels of CDCs. And welfare levels are identified as the primary factor contributing to these disparities. It is recommended that the relevant departments pay attention to the issue of job burnout among female CDC employees. Stratified and differentiated interventions should be developed and implemented to alleviate burnout and reduce disparities in burnout levels among female CDC employees across different levels.

CDC  /  Females  /  Job burnout  /  Fairlie decomposition  /  Difference
陈亦萱, 聂瀚林, 杨万金, 石学峰. 云南省疾病预防控制中心女性员工职业倦怠级别差异及影响因素研究. 现代预防医学, 2025 , 52 (22) : 4072 -4077 . DOI: 10.20043/j.cnki.MPM.202506060
Yi-xuan CHEN, Han-lin NIE, Wan-jin YANG, Xue-feng SHI. Analysis of job burnout level differences and influencing factors among female employees at the Centers for Disease Control and Prevention, Yunnan[J]. Modern Preventive Medicine, 2025 , 52 (22) : 4072 -4077 . DOI: 10.20043/j.cnki.MPM.202506060
Year 2025 volume 52 Issue 22
64
31
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doi: 10.20043/j.cnki.MPM.202506060
  • Receive Date:2025-06-04
  • Online Date:2026-10-29
  • Published:2025-11-25
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  • Received:2025-06-04
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    School of Management, Beijing University of Chinese Medicine, Beijing 100029, China
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表12种不同金属材料的力学参数
科
Family
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Number of
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种数
Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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