摘要
目的对我国海上舰艇官兵疾病谱数据进行汇总,并运用Meta分析的方法计算出我国海上舰艇官兵的发病率,为海上舰艇官兵的卫勤保障工作提供循证依据。方法检索中国知网(CNKI)、万方数据(WanFang Data)、重庆维普(VIP)、Web of Science、PubMed、Medline、Embase等数据库中有关我国海上舰艇官兵疾病谱的文献,使用RevMan5.3、Stata16.0软件对海上舰艇官兵疾病的发生率进行合并,检验异质性并选择相应的效应模型,采用Egger检验评估各文献发表偏倚。结果共计3篇文献纳入研究,样本合计1295人,Meta分析结果显示,各系统疾病发病率排名前6位的是呼吸系统疾病(44.30%),损伤、中毒或外因的某些其他后果(22.48%),皮肤疾病(20.30%),眼耳鼻喉口腔疾病(18.82%),消化系统疾病(18.04%),肌肉骨骼系统或结缔组织疾病(13.51%)。结论卫生部门应根据官兵发病情况,在任务前期,重点关注呼吸系统疾病,合理调配医疗资源,确保官兵圆满完成各项任务。
Objective To provide evidence-based basis for the medical support of officers and soldiers on the naval vessels,the disease spectrum data of soldiers on Chinese naval vessels were collected and the incidence rate of officers and soldiers was calculated by Meta-analysis.Methods CNKI,Wanfang Data,VIP,Web of Science,PubMed,Medline and Embase databases were searched to obtain the disease spectrum of officers and soldiers on naval vessels in China.The heterogeneity of data was tested and the corresponding effect model was selected by RevMan5.3 and Stata16.0 software.Egger test was used to evaluate the publication bias of each literature.Results A total of 3 literatures were included in the study,with a total sample of 1295 people.The results of meta-analysis showed that the top 6 diseases were respiratory system diseases(44.30%),injury,poisoning or some other consequences of external causes(22.48%),skin diseases(20.30%),eye,ear,nose,throat and oral diseases(18.82%),digestive system diseases(18.04%),musculoskeletal system or connective tissue diseases(13.51%).Conclusions The health department should focus on respiratory diseases and reasonably allocate medical resources in the early stage of the mission according to the incidence of diseases among officers and soldiers in order to ensure that officers and soldiers can successfully complete all kinds of tasks.
作者
朱达仁
陈旭义
孙圣凯
王振国
ZHU Daren;CHEN Xuyi;SUN Shengkai;WANG Zhenguo(Graduate Brigade,Logistics University of Chinese People’s Armed Police Force,Tianjin 300309,China;Research Department,Characteristic Medical Center of Chinese People’s Armed Police Force,Tianjin 300162,China;Health Service Training Center,Characteristic Medical Center of Chinese People’s Armed Police Force,Tianjin 300162,China)
出处
《武警医学》
CAS
2022年第4期311-314,318,共5页
Medical Journal of the Chinese People's Armed Police Force
基金
军队后勤科研重点项目(BWJ19J004)
关键词
舰艇
疾病谱
META分析
naval vessels
disease spectrum
meta-analysis
