某校教职工健康检查结果分析

目的:了解高校教职工的健康状况,为高校教职工的医疗、预防保健对策的制定提供依据。方法:资料来源于2005年至2006年某高校教职工健康体检。项目包括体质量指数(BMI)、血压、前列腺、乳房、宫颈、眼底、B超(肝、胆)、胸透、心电图、血生化(ALT、GLU、TC、TG)、HBsAg。对不同性别、不同年龄段、不同在岗情况、不同职称的对象常见病检出率逐一进行比较分析。结果:教职工人均异常项目种次为2.86,主要是高血脂(20%)、高BMI(15%)、心电图异常(14%)、肝功能异常或脂肪肝(12%)、血压异常(9%)、眼部异常(8%)。正高、副高职称的乳房、宫颈、ALT、TC、TG、HBsAg等6项指标的异常率低于其他职称组,其余均高于其他职称组(P<0.05或P<0.01)。Logistic回归分析显示,年龄、性别、在岗情况、职称、职务等分别对15项目指标产生一定的影响。结论:高校教职工常见病检出率高,与年龄、性别等生理因素,职业和工作特点以及生活方式有关。应进一步加强预防保健工作,对一般人群、高危人群、患病人群采取不同的防治措施。

Analysis of physical examination result of teaching staff in a university

Objective To explore the health level of teaching staff,thus to benefit their medical treatment,prevention and health care.Methods The data of their physical examination during 2005-2006 were collected,including BMI,blood pressure,prostate,breast,cervix,eyeground,B-type ultrasonography(liver,bile cyst),x-ray of chest,electrocardiogram,blood biochemical of(ALT,GLU,TC,TG),HBsAg.The positive rate of common diseases was analyzed among different sex,ages,title of job.Results The averaged abnormal items were 2.86,such as high blood fat(20%),high BMI(15%),electrocardiogram abnormality(14%),liver function abnormality(12%),blood pressure abnormality(9%),eyeground abnormality(8%).Those with senior/vice senior title had higher abnormality rates,for example: BMI:44.85/40.99,blood pressure:33.12/28.73,eyeground:35.85/19.97,X-ray of chest:3.00/3.00,electrocardiogram:48.24/47.24,prostate:42.32/35.28,breast:9.00/23.01,cervix:4.50/18.64,B-type ultrasonography(liver):40.81/32.74,B-type ultrasonography(bile cyst):19.30/18.43,ALT:9.62/6.7,GLU:13.01 /15.21,TC:20.86/22.48,TG:37.81/34.01,HBsAg:1.76/3.17,however they had lower abnormal rates of 6 indexes rate such as breast,cervix,ALT,TC,TG,HBsAg than those of other with other titles(P<0.05 or P<0.01).Logistic return analysis showed that age,sex,different titles had some effect on 15 item index.Conclusion University teaching staff have a tendancy to fall ill,with a high positive rate of common diseases,which is involved with the physiology factor such as age,sex etc,and also with occupation,job feature and life style.We should further strengthen prevention and health care,and different prevention and count measures should be deliberatedly used to the general crowd,high risk crowd,diseased crowd.