2015年長春市某醫(yī)院體檢人群常見代謝性疾病檢測結果分析
發(fā)布時間:2018-07-17 17:12
【摘要】:目的:了解體檢人群中高血壓、糖尿病、肥胖、HUA等常見代謝性疾病患病現狀,發(fā)現影響疾病發(fā)生的相關因素,探究代謝性疾病之間的相互關系,提出相應預防和干預措施,減少代謝性疾病對于患者健康的影響,提高患者生活質量。方法:選取2015年7月~9月至長春市中心醫(yī)院體檢中心體檢的人群體檢數據,共4016人。采用SPSS19.0軟件進行統(tǒng)計學分析。計量資料采用均數±標準差,計數資料采用率、構成比進行描述性分析。對于分類變量采用χ2檢驗進行體檢人群肥胖、高血壓、糖尿病、HUA患病以及共病的相關影響因素單因素分析,將單因素分析中P0.05的變量納入Logistic回歸模型進行多因素分析,采用向前逐步回歸法。以P0.05為有統(tǒng)計學意義的界值。結果:1.研究對象中有577人患有肥胖,患病率為14.61%。1045人患有高血壓,患病率為26.07%。58人患有糖尿病,患病率為1.46%。604人患有HUA,患病率為15.10%。研究對象中有518人患有2種或2種以上代謝性疾病(12.90%);2.多因素Logistic回歸結果顯示,高齡、男性、高BMI、血清中高總膽固醇、高甘油三酯、高谷草轉氨酶、高谷丙轉氨酶、高尿酸、高血糖、高血紅蛋白含量以及甲狀腺結節(jié)是研究對象患高血壓的危險因素(P0.05);3.多因素Logistic回歸結果顯示,低年齡、男性、高血壓、血清中高甘油三酯、高谷丙轉氨酶、高尿酸、高血糖、高血紅蛋白含量是研究對象患肥胖的危險因素(P0.05);4.多因素Logistic回歸結果顯示,男性、高血壓、血清中高甘油三酯、高尿素氮、低尿酸是研究對象患糖尿病的獨立危險因素(P0.05);5.多因素Logistic回歸結果顯示,低齡、男性、高BMI、高血壓、血清中高甘油三酯、高谷丙轉氨酶、低血糖、高血紅蛋白含量以及有甲狀腺結節(jié)是研究對象患HUA的危險因素(P0.05)。結論:1.高血壓是本研究中體檢人群最常見代謝性疾病,其次為肥胖、糖尿病、HUA;2.本研究發(fā)現不同代謝性疾病發(fā)生之間存在相互聯系,高血壓、糖尿病以及HUA是肥胖患病的危險因素;肥胖和糖尿病是高血壓患病的危險因素;高血壓和HUA是糖尿病患病的危險因素;高血壓和肥胖是HUA患病的危險因素;3.男性人群和血清中甘油三酯含量較高人群是研究中四種代謝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 鹵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.
【學位授予單位】:吉林大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:R589
[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 鹵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.
【學位授予單位】:吉林大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:R589
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