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单纯性肥胖人群2型糖尿病发病相关危险因素分析
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摘要
目的:了解单纯性肥胖人群发生2型糖尿病的流行病学情况,探讨该人群发生2型糖尿病的相关危险因素,进而对其2型糖尿病的预测和预防提供依据。
     研究对象及方法:
     1研究对象:石家庄市区的单纯性肥胖人群(从本院体检中心健康查体人群中筛选,据2002年亚太地区的肥胖标准,体重指数(BMI)≥25kg/m~2,经临床和实验室检查除外高血压、冠心病、血脂异常、糖尿病或糖耐量异常及其他疾病,女性排除绝经者。年龄在35-55岁)共583例,其中男性316例,女性267例。
     2研究方法:2000年采集入组人群信息:记录基本信息(包括性别、年龄、日常生活习惯、糖尿病家族史等),测定心率(heart rate, HR)、血压、身高、体重、腰围、臀围、血脂(包括总胆固醇(TC)、甘油三脂(TG)、低密度脂蛋白胆固醇(LDL-c)、高密度脂蛋白胆固醇(HDL-c))、空腹血糖及胰岛素浓度、血管内皮依赖性舒张功能(endothelium dependent dilatation,EDD)。计算体重指数(body mass index, BMI)、腰臀比(waist hip ratio, WHR)、胰岛素抵抗指数(homeostasis model assessment of insulin resistance index, HOMA-IR)。2007年对入组人群进行随访,回顾其历年体检报告及病历医疗本。详细了解随访对象7年间个人疾病史(尤其是否有2型糖尿病、高血压、冠心病、脂代谢异常等病史),按照相同方法再次测定上述指标,并行口服葡萄糖耐量试验,测定2小时血糖。按随访终点是否发生2型糖尿病将随访人群分为糖尿病组和非糖尿病组。
     3统计分析:计量资料以X|-±S表示,各组数据均经正态性检验,非正态分布者经对数转换成正态分布资料后进行统计分析。使用统计软件spss15.0对所得数据进行处理。两组间计量资料的比较采用t检验,计数资料比较采用卡方检验;各研究因素与2型糖尿病的相关性采用双变量相关分析、Logistic回归分析进行研究,以P<0.05为差异具有统计学意义。
     结果:
     1初访时纳入583例,共随访到524例,随访率为89.88%。其中糖尿病组96例,非糖尿病组428例。两组间基线资料比较:糖尿病组收缩压(systolic blood pressure,SBP)、舒张压(diastolic blood pressure,DBP)、BMI、WHR、TC、LDL-c、HOMA-IR,以及男性、2型糖尿病家族史、吸烟、饮酒史所占百分比均高于非糖尿病组;EDD、HDL-c低于非糖尿病组;年龄、HR、TG在两组间无显著性差异。
     2入组前后BMI分别为28.51±1.86、28.63±2.20,二者无统计学差异。统计2型糖尿病7年累积发病率为18.3%。
     3各研究因素分别与2型糖尿病发病情况进行双变量相关分析显示:性别、年龄、SBP、BMI、WHR、TC、LDL-c、HDL-c、HOMA-IR、EDD、2型糖尿病家族史、吸烟、饮酒与糖尿病发病均有相关性;HR、DBP、TG与糖尿病的相关分析无统计学意义。
     4对所有可能危险因素进行Logistic回归分析,结果显示:HOMA-IR(OR=2.067)、WHR(OR=1.889)、EDD (OR=1.856)、BMI(OR=1.847)、2型糖尿病家族史(OR=1.842)、男性(OR=1.759)、年龄(OR=1.451)、吸烟史(OR=1.375)、HDL-c(OR=0.645)均与2型糖尿病的发病有相关性,而SBP、TC、LDL-c、饮酒习惯未能纳入回归模型。
     5统计高血压、冠心病、脂代谢异常的累积发病率为17.4%、13.5%、22.5%。糖尿病组与非糖尿病组比较,前者(26.0%、20.8%、33.3%)均明显高于后者(15.7%、11.9%、20.1%),有统计学差异,显示在单纯性肥胖人群2型糖尿病的发病与高血压、冠心病、脂代谢异常有相关性,上述慢性疾病间存在明显的聚集性。
     结论:
     1肥胖人群2型糖尿病的发病率较体重正常人群明显增高,肥胖人群的健康状况令人担忧,值得引起广大医务工作者及肥胖者本人注意。
     2在单纯性肥胖人群发生2型糖尿病的过程中存在多重危险因素,对具有该特征的人群实行一级预防,通过行为干预、药物干预消除部分危险因素,可能达到降低2型糖尿病发病率的目的。
     3 2型糖尿病与高血压、冠心病、脂代谢异常的发病有聚集性,对已经出现并发症的肥胖患者,采取积极干预措施,防止或延缓其它并发症的发生、发展是很有必要的。
Objective: To find out the prevalence of type 2 diabetes mellitus (T2DM) in the obesity and investigate the risk factors of T2DM, in order to provide evidence for the prevention and forecast of T2DM.
     Subjects and Methods:
     1 Subjects: The simple obesity of Shijiazhuang (selected from the medical examination center of our hospital, body mass index (BMI)≥25kg/m~2, age:35-55, without hypertension, coronary artery disease, dyslipidemia, diabetes or impaired gluc- ose tolerance and other diseases. Menopause female were also excluded.) The total subjects were 583, including 316 male and 267 female.
     2 Methods: In 2000, their basic information was collected, including sex, age, daily habits and family history of T2DM.The data was measured, including heart rate (HR), blood pressure (BP), height, weight, waist circumference, hip circumference, total cholesterol(TC), triglyceride(TG), low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), fasting blood glucose and insulin, and endothelium dependent dilatation (EDD). Moreover, body mass index (BMI), waist hip ratio (WHR) and homeostasis model assessment of insulin resistance index (HOMA-IR) were calculated. In 2007 the health status of subjects was followed-up. With the same method, the above mentioned measurements and 2 hour blood glucose after glucose loading were measured. According to occurrence of T2DM or not, the subjects were divided into diabetic group and non-diabetic group.
     3 Statistical analysis: The measurement data was presented with mean±standard deviation. The normality test of every group was took firstly. Abnormal data was analyzed after log- transformed. All data was analyzed by statistical software SPSS15.0 version. It applied independent-samples t-test to compare the measurement data, and chi-square test to compare the numeration data between diabetic group and non-diabetic group. Using Bivariate correlation and Logistic Regression the risk factors of T2DM were investigated. A value of P<0.05 was considered to be statistically significant.
     Results:
     1 524 of 583 subjects were followed up, and the percentage was 89.88%. There were 96 subjects in diabetic group, and 428 subjects in non-diabetic group. Compared with non-diabetic group, the systolic blood pressure(SBP), diastolic blood pressure (DBP), BMI, WHR, TC, LDL-c, HOMA-IR and the percentage of male, family history of T2DM, smoking and drinking all were higher in diabetic group. And EDD, HDL-c were lower in diabetic group. There was no significant difference in age, HR and TG between the two groups.
     2 The BMI before and after follow-up were 28.51±1.86 and 28.63±2.20, and there was no significant difference. Seven-year cumulative incidence of T2DM is 18.3%.
     3 Bivariate correlation between T2DM and all analytic factors showed that, sex, age, SBP, BMI, WHR, TC, LDL-c, HDL-c, HOMA-IR, EDD, family history of T2DM, smoking and drinking were correlated with T2DM, and HR, DBP, TG were not correlated.
     4 Logistic Regression about risk factors of T2DM showed that,HOMA-IR(OR=2.067),WHR(OR=1.889),EDD(OR=1.856),BMI (OR=1.847), family history of T2DM(OR=1.842), male (OR=1.759), age (OR=1.451), smoking (OR=1.375) and HDL-c (OR=0.645) were influential factors. SBP, TC, LDL-c and drin- king could not enter the regression model.
     5 The cumulative incidence of hypertension, coronary artery disease and dyslipidemia were 17.4%, 13.5%and 22.5%. All were higher in diabetic group (26.0%、20.8%、33.3%) than non-diabetic group(15.7%、11.9%、20.1%)(p<0.05).It showed the cooccurence of T2DM, the high blood, coronary artery disease and dyslipidemia in the obesity.
     Conclusion:
     1 The prevalence of T2DM in the obesity is higher than the normal. Their healthy is worrisome. It should catch the attention of medical worker and the obesity.
     2 There are some influential factors in the occurrence of T2DM. If first-level prevention was enforced, and some risk fa- ctors were eliminated in the high-risk group, the morbidity of T2DM would decrease.
     3 T2DM, hypertension, coronary artery disease and dyslipi- demia often concur in the obesity simultaneously. Therefore, it is important to take active intervention method to prevent or delay the complications of the obesity.
引文
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