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上海市金山区医务人员亚健康现状及影响因素分析
引用本文:王伟伟,田猛,吴首伟,王琦,蒋玉花. 上海市金山区医务人员亚健康现状及影响因素分析[J]. 华南预防医学, 2020, 46(2): 133-137. DOI: 10.12183/j.scjpm.2020.0133
作者姓名:王伟伟  田猛  吴首伟  王琦  蒋玉花
作者单位:1.上海市第六人民医院金山分院,上海 201599;2.上海市金山区疾病预防控制中心;3.上海市金山区吕巷镇社区卫生服务中心
基金项目:金山区团区委重点课题(2017-4); 上海市第六人民医院金山分院院级课题(2016-2)
摘    要:目的 了解上海市金山区医务人员亚健康状况及其影响因素,为防治其亚健康发生提供科学依据。方法 采用等比例分层随机抽样方法,采用自行设计问卷于2017年7—9月对上海市金山区医务人员进行亚健康调查,采用单、多因素分析方法对金山区医务人员亚健康发生影响因素进行分析。结果 共对628名金山区医务人员进行调查,调查对象平均年龄(34.55 ± 9.14)岁,男女比例2.2∶1。亚健康检出率为47.9%(301/628),其中三级医院、二级医院、社区卫生服务中心和疾病预防控制中心亚健康检出率分别为55.8%、48.7%、37.7%、50.0%,差异有统计学意义(P<0.05)。多因素分析结果显示,年龄30~39、40~49、≥50岁(OR=0.470、0.468、0.163)的金山区医务人员亚健康发生的可能性较低,少数民族(OR=10.670)、已婚分居或丧偶(OR =13.070、47.807)、近3个月有持续1周以上的情绪沮丧和郁闷(OR=2.578)、3餐从不定时吃饭(OR =5.218)、睡眠质量很差(OR =2.873)、周工作时间长>40 h(OR =2.717)和工作压力大(OR =2.099、3.760)的金山区医务人员亚健康发生可能性较大。结论 上海市金山区医务人员亚健康检出率较高,并受多因素影响,应针对危险因素,采取相应的干预措施。

关 键 词:医务人员  亚健康  影响因素  
收稿时间:2019-06-08

Sub-health status of medical staff and its influencing factors in Jinshan District,Shanghai
WANG Wei-wei,TIAN Meng,WU Shou-wei,WANG Qi,JIANG Yu-hua. Sub-health status of medical staff and its influencing factors in Jinshan District,Shanghai[J]. South China JOurnal of Preventive Medicine, 2020, 46(2): 133-137. DOI: 10.12183/j.scjpm.2020.0133
Authors:WANG Wei-wei  TIAN Meng  WU Shou-wei  WANG Qi  JIANG Yu-hua
Affiliation:1.Jinshan Branch of Shanghai Sixth People's Hospital,Shanghai 201599,China;2.Jinshan Center for Disease Control and Prevention;3.Prevention and Health Care Department of Lvxiang Community Health Service Center of Jinshan District
Abstract:Objective To survey the status and influencing factors of sub-health in the medical staff, so as to provide scientific basis for the prevention and treatment of sub-health. Methods An equal proportion stratified random sampling method was adopted to investigate the sub-health status of the medical staff in Jinshan District, Shanghai from July to September 2017. Data were analyzed by univariate and multivariate logistic regressions. Results A total of 628 valid questionnaires were included, the average age of the subjects was (34.55 ± 9.14) years old, and the male-to-female sex ratio was 2.2∶1. Of the participants, the detection rate of sub-health was 47.9% (301/ 628), the rates in tertiary hospitals, secondary hospitals, community health service centers and centers for disease prevention and control were 55.8%, 48.7%, 37.7%, and 50.0% respectively(P<0.05). Multivariate logistic regression showed that medical personnel in Jinshan District aged 30-39,40-49 and ≥50 years (OR=0.470, 0.468, 0.163) were less likely to have sub-health, while those who were ethnic minorities(OR=10.670), married seperalion or widowed (OR=13.070, 47.807), had depressed mood and depression lasting for more than one week in recent three months (OR=2.578), never ate regularly (OR=5.218), had poor sleep quality (OR=2.873), worked more than 40 hours a week (OR=2.717), and had high working stress (OR=2.099, 3.760) were more likely to have sub-health. Conclusions The sub-health detection rate of medical staff in Jinshan District, Shanghai was relatively high and affected by many factors. Corresponding intervention measures should be taken according to the risk factors.
Keywords:Medical staff  Sub-health  Influencing factor  
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