2015年长春市某医院体检人群常见代谢性疾病检测结果分析

发布时间：2018-07-17 17:12

【摘要】：目的:了解体检人群中高血压、糖尿病、肥胖、HUA等常见代谢性疾病患病现状,发现影响疾病发生的相关因素,探究代谢性疾病之间的相互关系,提出相应预防和干预措施,减少代谢性疾病对于患者健康的影响,提高患者生活质量。方法:选取2015年7月~9月至长春市中心医院体检中心体检的人群体检数据,共4016人。采用SPSS19.0软件进行统计学分析。计量资料采用均数±标准差,计数资料采用率、构成比进行描述性分析。对于分类变量采用χ2检验进行体检人群肥胖、高血压、糖尿病、HUA患病以及共病的相关影响因素单因素分析,将单因素分析中P0.05的变量纳入Logistic回归模型进行多因素分析,采用向前逐步回归法。以P0.05为有统计学意义的界值。结果:1.研究对象中有577人患有肥胖,患病率为14.61%。1045人患有高血压,患病率为26.07%。58人患有糖尿病,患病率为1.46%。604人患有HUA,患病率为15.10%。研究对象中有518人患有2种或2种以上代谢性疾病(12.90%);2.多因素Logistic回归结果显示,高龄、男性、高BMI、血清中高总胆固醇、高甘油三酯、高谷草转氨酶、高谷丙转氨酶、高尿酸、高血糖、高血红蛋白含量以及甲状腺结节是研究对象患高血压的危险因素(P0.05);3.多因素Logistic回归结果显示,低年龄、男性、高血压、血清中高甘油三酯、高谷丙转氨酶、高尿酸、高血糖、高血红蛋白含量是研究对象患肥胖的危险因素(P0.05);4.多因素Logistic回归结果显示,男性、高血压、血清中高甘油三酯、高尿素氮、低尿酸是研究对象患糖尿病的独立危险因素(P0.05);5.多因素Logistic回归结果显示,低龄、男性、高BMI、高血压、血清中高甘油三酯、高谷丙转氨酶、低血糖、高血红蛋白含量以及有甲状腺结节是研究对象患HUA的危险因素(P0.05)。结论:1.高血压是本研究中体检人群最常见代谢性疾病,其次为肥胖、糖尿病、HUA;2.本研究发现不同代谢性疾病发生之间存在相互联系,高血压、糖尿病以及HUA是肥胖患病的危险因素;肥胖和糖尿病是高血压患病的危险因素;高血压和HUA是糖尿病患病的危险因素;高血压和肥胖是HUA患病的危险因素;3.男性人群和血清中甘油三酯含量较高人群是研究中四种代谢性疾病共同的高危人群。
[Abstract]:Objective: to investigate the prevalence of metabolic diseases, such as hypertension, diabetes, obesity and so on, to find out the related factors affecting the occurrence of metabolic diseases, to explore the relationship between metabolic diseases, and to put forward corresponding prevention and intervention measures. To reduce the health effects of metabolic diseases and improve the quality of life of patients. Methods: from July to September of 2015 to Changchun central hospital physical examination data of 4016 people were selected. SPSS 19.0 software was used for statistical analysis. The mean 卤standard deviation of the measurement data, the rate of adoption of the counting data and the composition ratio were used for descriptive analysis. For the classified variables, 蠂 2 test was used to analyze the related factors of obesity, hypertension, diabetes mellitus HUA and coexisting diseases. The variables of P0.05 in univariate analysis were included in the logistic regression model for multivariate analysis. The method of stepwise forward regression was used. P0.05 as the statistical significance of the boundary value. The result is 1: 1. In the study subjects, 577 people were obese, the prevalence rate was 14.61.1045 people were suffering from hypertension, the prevalence rate was 26.07.58 people were suffering from diabetes, the prevalence rate was 1.46.604 people were suffering from Hu, the prevalence rate was 15.1010g. 518 of the subjects had 2 or more metabolic disorders (12.90%). The results of multivariate logistic regression showed that elderly, male, high BMIs, high serum total cholesterol, high triglyceride, high alanine aminotransferase, high uric acid, high blood sugar, High hemoglobin content and thyroid nodule were risk factors of hypertension (P0.05). Multivariate logistic regression analysis showed that the risk factors of obesity were low age, male, hypertension, high triglyceride, high alanine aminotransferase, high uric acid, high blood sugar and high hemoglobin (P0.05). Multivariate logistic regression analysis showed that male, hypertension, high serum triglyceride, high urea nitrogen and low uric acid were independent risk factors for diabetes (P0.05). Multivariate logistic regression analysis showed that low age, male, high BMI, hypertension, high serum triglyceride, high alanine aminotransferase, hypoglycemia, high hemoglobin content and thyroid nodule were the risk factors (P0.05). Conclusion 1. Hypertension is the most common metabolic disease, followed by obesity and diabetes mellitus. In this study, we found that different metabolic diseases were associated with hypertension, diabetes mellitus and UA were risk factors of obesity, obesity and diabetes were risk factors of hypertension. Hypertension and UA are risk factors of diabetes mellitus, hypertension and obesity are risk factors of UA. The male population and the high serum triglyceride content population are the common high risk population of the four metabolic diseases in the study.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R589

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