苏州市在职人员人体成分与血脂水平间的相关性分析

发布时间：2018-01-29 05:07

本文关键词： 在职人员人体成分血脂水平肥胖　出处：《苏州大学》2016年硕士论文　论文类型：学位论文

【摘要】：【目的】观察苏州市在职人员人体成分及血脂水平,分析其相关性,为提高一级预防效果,进一步降低苏州市心脑血管疾病的发病率提供科学依据。【方法】选取2014年6月至2014年10月在苏州大学附属第二医院同时接受血脂四项检测及人体成分分析的在职人员1523例进行调查。采用人体成分分析仪进行人体成分测定,主要包括:体重指数(BMI)、基础代谢率(BMR)、骨骼肌肉量(MM)、腰臀比(WHR)、体脂肪含量(BF)、体脂百分比(BFP)、内脏脂肪面积(VFA)、颈围(NC)、上臂肌围(AMC)等参数,并测定总胆固醇(TC),三酰甘油(TG),高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C)。用SPSS19.0软件进行处理,?2检验、t检验、非参数检验进行男女性别间,血脂正常与血脂异常间的比较,利用方差分析(ANOVA)及非参数检验进行不同BMI水平间的比较,利用偏相关分析确定人体成分与血脂水平的关系,并将有统计学意义的变量作为候选变量,进行多因素Logistic回归分析,分析人体成分与血脂的相关性。【结果】苏州市在职人员共1523人,职业内容为城市非体力劳动者,其中男性968人,女性555人,平均年龄43.65±12.39岁,BMI水平为23.79±3.19kg/m2。肥胖发生率为10.83%,血脂异常患病率为65.46%。体成分存在明显性别差异,除BF、BFP外,其余体成分项目水平男性均高于女性。男性在职人员在高TC组和高LDL-C组中,BMI、MM、BF、BFP、BMR、VFA、WHR和NC显著高于相应的正常组;高TG组和低HDL-C组的所有9项指标(BMI、MM、BF、BFP、BMR、VFA、WHR、NC和AMC)均显著高于相应正常组;女性在职人员在高TC组、高LDL-C组和低HDL-C组中,BMI、BF、BFP、VFA、WHR、NC和AMC显著高于相应的正常组;高TG组所有9项指标显著高于相应正常组。随着BMI水平的升高,男女组均呈现年龄、TC、TG、LDL-C水平随之升高,而HDL-C水平则随之降低。在男性组,BMI、MM、BF、BFP、BMR、VFA、WHR、NC与TC、TG、LDL-C呈正相关,与HDL-C呈负相关;在女性组,BMI、BF、BFP、VFA、WHR、NC、AMC与TC、TG、LDL-C呈正相关,与HDL-C呈负相关;MM、BMR与TG呈正相关,与HDL-C呈负相关;性别、年龄、WHR、AMC均为血脂异常发生的独立危险因素。相对于男性,女性为血脂异常的保护因素(OR=0.436,95%CI 0.328~0.581;P0.001),AMC水平升高为血脂异常的保护因素(OR=0.925,95 CI 0.873~0.981;P=0.009);年龄的增加为血脂异常的危险因素(OR=1.016,95 CI 1.006~1.026;P=0.002)及WHR水平的升高为血脂异常的危险因素(OR=1.227,95 CI 1.181~1.275;P0.001)。【结论】体成分与血脂水平关系密切。通过对人体成分的分析,可对血脂异常作出预判,为科学调整膳食及合理运动提供依据,为临床诊断及治疗提供更多信息,尽早预防、发现营养相关性疾病。
[Abstract]:[objective] to observe the level of human body composition and blood lipid in Suzhou City, and analyze the correlation between them in order to improve the effect of primary prevention. To further reduce the incidence of cardiovascular and cerebrovascular diseases in Suzhou to provide scientific basis. [methods] selected from June 2014 to October 2014 in the second affiliated Hospital of Suzhou University at the same time to receive four tests of blood lipids and people. A total of 1523 in-service personnel were investigated by body composition analysis and the body composition was measured by body composition analyzer. The main results were as follows: body mass index (BMI), basal metabolic rate (BMR), bone and muscle mass, waist-to-hip ratio (WHR), body fat content (BFF), body fat percentage (BFP). The visceral fat area (VFAA), the neck circumference (NCU), the arm muscle circumference (AMCC), and the total cholesterol (TC), triglyceride (TG) were measured. High density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C). (2) t test, nonparametric test were used to compare the sex of male and female, normal blood lipid and abnormal blood lipids. ANOVA) and nonparametric test were used to compare the different BMI levels. Using partial correlation analysis to determine the relationship between human body composition and blood lipid level, and using statistically significant variables as candidate variables, multivariate Logistic regression analysis was carried out. [results] there were 1 523 active workers in Suzhou, including 968 males and 555 females. The average age was 43.65 卤12.39 years old and BMI was 23.79 卤3.19 kg / m ~ (2). The incidence of obesity was 10.83%. The prevalence rate of dyslipidemia was 65.46. There was significant gender difference in body composition except BFU BFP. The level of other body component items in male was higher than that in female. WHR and NC were significantly higher than the corresponding normal group. All the 9 indexes of high TG group and low HDL-C group were significantly higher than those of the corresponding normal group. In high TC group, high LDL-C group and low HDL-C group, female in-service workers were significantly higher than those in the corresponding normal group. All the 9 indexes of high TG group were significantly higher than those of the corresponding normal group. With the increase of BMI level, both male and female groups showed an increase in age and TGG LDL-C level. However, the level of HDL-C decreased. In male group, there was a positive correlation between HDL-C and TGG LDL-C. There was a negative correlation with HDL-C. In female group, the positive correlation was found between HDL-C and HDL-C, and the positive correlation was found between the AMC and TGG LDL-C, and the negative correlation was found with HDL-C. MMMR was positively correlated with TG and negatively correlated with HDL-C. Sex and age were all independent risk factors for the occurrence of dyslipidemia. Compared with males, females were the protective factors for dyslipidemia (OR0.436). 95 CI 0.328m 0.581; P0.001 AMC level was the protective factor of dyslipidemia. P0. 009; The increase of age was the risk factor of dyslipidemia. The elevated level of WHR and P0. 002) were the risk factors of dyslipidemia. The risk factors were 1.22795 CI 1.181 and 1.275; [conclusion] body composition is closely related to the level of blood lipids. Through the analysis of human body components, the abnormal blood lipids can be forecasted, which provides the basis for scientific adjustment of diet and rational exercise. To provide more information for clinical diagnosis and treatment, early prevention and detection of nutritional related diseases.
【学位授予单位】：苏州大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R446.1

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