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作 者:姚冬奇[1] 张石磊 肖浩[1] 高占玺[3] 高羽高[3] 李云婷[3] 蔺美霖 于洋[4] 侯谦 张瑞[3] Yao Dong-qi;Zhang Shi-lei;Xiao Hao;Gao Zhan-xi;Gao Yu-gao;Li Yun-ting;Lin Mei-lin;Yu Yang;Hou Qian;Zhang Rui(Department of Emergency Medicine,the Second Hospital of Hebei Medical University,Shijiazhuang 050000,China)
机构地区:[1]河北医科大学第二医院急诊医学科,河北石家庄050000 [2]石家庄市平安医院,河北石家庄050000 [3]河北医科大学第二医院检验科,河北石家庄050000 [4]河北大学附属医院检验科,河北保定071000 [5]河北医科大学第二医院医务处,河北石家庄050000
出 处:《中国急救医学》2023年第3期191-196,共6页Chinese Journal of Critical Care Medicine
基 金:河北省技术创新引导计划项目(20477704D)。
摘 要:目的 探讨冬奥会医疗保障人员在闭环管理下血液学指标的变化,并分析其影响因素。方法 选取在2022年1月1日至2022年3月30日期间的78名张家口冬奥村医疗保障人员作为受试对象,测定其闭环管理前后的各项血液学指标,同时进行问卷调查,收集性别、年龄、婚姻、学历、体重指数(BMI)、是否规律体育锻炼、睡眠质量、工作时长、夜班工作时长、穿防护服时长、焦虑自测量表(SAS)评分等信息进行统计学分析。结果 闭环管理后医疗保障人员的红细胞(red blood cell, RBC)、血红蛋白(hemoglobin, Hb)、红细胞压积(hematocrit, HCT)、血小板(platelet, PLT)、肌酐(creatinine, Cr)、尿酸(uric acid, UA)和尿素(urea)显著升高(P<0.05);Hb升高<10 g/L组与≥10 g/L组在夜班工作时长、SAS评分等方面差异有统计学意义(P<0.05),其中SAS评分是独立危险因素;新发高尿酸血症组与非新发高尿酸血症组在性别、年龄、是否规律体育锻炼、SAS评分、穿防护服工作时长等方面差异有统计学意义,其中性别、是否规律体育锻炼、穿防护服时长、SAS评分是独立危险因素(P<0.05)。结论 医疗保障人员在闭环管理下的健康状况值得引起重视,SAS评分能够预测高尿酸血症的发生;规律体育锻炼、减少穿防护服工作时长可降低焦虑状态,在一定程度预防相关疾病发生。Objective To analyze the changes of hematological indexes in the closed loop of medical staffs in the Winter Olympic Games, and to analyze the influencing factors. Methods Hematological indexes of the medical staffs in Zhangjiakou Winter Olympic Village from January 1st, 2022 to March 30th, 2022 were detected before and after closed loop. A questionnaire was conducted among medical staff to obtain gender, age, body mass index(BMI), marriage, educational background, regular physical exercise, sleep quality, working hours, the time of wearing protective clothing, night shift working hours, self-rating anxiety scale(SAS),which were used for statistical analysis. Results The red blood cell(RBC), hemoglobin(Hb), hematocrit(HCT), platelet(PLT), creatinine(Cr), uric acid(UA) and urea were significantly increased after closed loop(P<0.05). The Hb increase<10 g/L group and the Hb increase≥10 g/L showed significant differences in night shift working hours and SAS scores(P<0.05), among which the SAS score was an independent risk factor. The group of new acquired hyperuricemia showed statistically significant differences in gender, age, regular physical exercise, SAS score and wearing protective clothing hours compared with non-new acquired hyperuricemia, among which gender, regular physical exercise, SAS score and wearing protective clothing hours were independent risk factors(P<0.05). Conclusions The health status of medical staffs after closed loop deserves attention. SAS score can better predict the possible hyperuricemia. Regular physical exercise and reducing hours of wearing protective clothing can reduce anxiety and prevent related diseases.
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