刘亚军, 江苇, 谭晓霜, 周文正, 杨咪. 妇幼保健医务人员职业倦怠与睡眠质量现状及相关性研究J. 职业卫生与应急救援, 2026, 44(1): 20-25. DOI: 10.16369/j.oher.issn.1007-1326.2026.250387
引用本文: 刘亚军, 江苇, 谭晓霜, 周文正, 杨咪. 妇幼保健医务人员职业倦怠与睡眠质量现状及相关性研究J. 职业卫生与应急救援, 2026, 44(1): 20-25. DOI: 10.16369/j.oher.issn.1007-1326.2026.250387
LIU Yajun, JIANG Wei, TAN Xiaoshuang, ZHOU Wenzheng, YANG Mi. Correlation between occupational burnout and sleep quality among maternal and child healthcare workersJ. Occupational Health and Emergency Rescue, 2026, 44(1): 20-25. DOI: 10.16369/j.oher.issn.1007-1326.2026.250387
Citation: LIU Yajun, JIANG Wei, TAN Xiaoshuang, ZHOU Wenzheng, YANG Mi. Correlation between occupational burnout and sleep quality among maternal and child healthcare workersJ. Occupational Health and Emergency Rescue, 2026, 44(1): 20-25. DOI: 10.16369/j.oher.issn.1007-1326.2026.250387

妇幼保健医务人员职业倦怠与睡眠质量现状及相关性研究

Correlation between occupational burnout and sleep quality among maternal and child healthcare workers

  • 摘要: 目的 探讨妇幼保健医务人员职业倦怠与睡眠质量的现状及其相关性,并分析睡眠质量的影响因素。方法 2024年9月,采用方便抽样方法,选择某市404名妇幼保健医务人员作为研究对象。使用自行设计的人员基本情况表、《职业倦怠量表》(MBI-GS)和《匹兹堡睡眠质量指数量表》(PSQI)进行问卷调查,并对睡眠质量的影响因素进行多元线性回归分析。结果 获取有效问卷392份,有效回收率为97.03%。研究对象的职业倦怠发生率为64.29%,睡眠障碍发生率为48.98%;临床类、中层干部及以上、区县级医疗机构、工作兴趣较差、加班频率较高、工作压力较大、科室和谐度较差、健康状况较差的医务人员的职业倦怠总分较高(均P < 0.05)。职业倦怠得分与睡眠质量各维度得分呈正相关关系(r = 0.123 ~ 0.556,均P < 0.05)。多元线性回归分析结果显示:与健康状况较差的人员相比,健康状况一般和较好的人员睡眠质量得分平均减少2.130分和4.433分(均P < 0.05);职业倦怠每增加1分,睡眠质量得分增加0.627分(P < 0.05)。结论 某市妇幼保健医务人员出现不同程度的职业倦怠,且睡眠质量较差,职业倦怠与其睡眠质量成正相关关系。建议管理者采取针对性措施,缓解医务人员职业倦怠感,改善其睡眠质量。

     

    Abstract: Objective To investigate the current status of occupational burnout and sleep quality among maternal and child healthcare(MCH) workers, examine their relationship, and analyze influencing factors of sleep quality. Methods In September 2024, a convenience sampling method was used to recruit 404 MCH workers in a city. They were surveyed with the self-designed demographic questionnaire, the Maslach Burnout Inventory-General Survey(MBI-GS), and the Pittsburgh Sleep Quality Index(PSQI). Multiple linear regression analysis was conducted to identify factors affecting sleep quality. Results A total of 392 valid questionnaires were collected, with an effective response rate of 97.03%. The incidence of occupational burnout was 64.29%, and the incidence of sleep disturbances was 48.98%. Higher total burnout scores were observed among clinical staff, middle-level and senior managers, personnel from dis-rict/county-level institutions, and personnel with low work interest, higher overtime frequency, greater work pressure, poorer departmental harmony, and poorer health status (all P < 0.05). Scores across all dimensions of occupational burnout were positively correlated with scores across all dimensions of sleep quality (r = 0.123 to 0.556, all P < 0.05). Multiple linear regression analysis showed that compared with personnel in poorer health status, those with fair or good health status had average decreases of 2.130 and 4.433 points in sleep quality scores, respectively (both P < 0.05). Each 1-point increase in occupational burnout score was associated with a 0.627-point increase in sleep quality score (P < 0.05). Conclusions Maternal and child healthcare workers in the surveyed city experienced varying degrees of occupational burnout and generally poor sleep quality. Occupational burnout was positively correlated with sleep quality. Targeted management measures should be taken to alleviate burnout and improve sleep quality among these healthcare workers.

     

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