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Purpose of understanding of Hefei, the elderly in a community metabolic syndrome (metabolic syndrome, MS), as well as the prevalence of each component of MS explore MS influencing factors in the elderly; evaluation of the living conditions of the elderly, and to investigate the MS in The quality of life of older persons. The method of cluster sampling in Hefei, in a community, as the research object to all residents of the community for more than 40 years of age. Survey collected demographic data for the study, health-related behaviors, health status, family history of disease, dietary behaviors and dietary intake, etc.; physical indicators of older people's blood pressure, height, weight, waist circumference measurement; detection fasting subjects blood glucose, total cholesterol (TC), triacyl glycerol (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), very low density lipoprotein cholesterol (VLDL-C ) and serum uric acid and other biochemical markers. Investigated a total of 721 people, including 416 males and 305 females. MS diagnosis Diabetes Society of the Chinese Medical Association recommended standards, the residents dietary intake survey using a food frequency table method, the the application World Health Organization Quality of Life Short Form (WHOQOL-BREF) quality of life assessment. Different gender and in elderly MS prevalence is compared using the chi-square test. Different gender, age and educational level of patients with MS and non-MS patients quality of life t-test was used to compare the groups design. MS risk factors were analyzed using multivariate stepwise logistic regression. MS quality of life using multiple linear regression. Results of this study investigated a total of 721 residents over the age of 40, including 416 men, average age (60.8 ± 10.8) years, and 305 women, average age (59.5 ± 9.7) years, no significant difference in age between men and women (t = 1.680, P gt; 0.05). In this study, 88 cases were detected in patients with MS, the total prevalence rate of 12.2%. Men with MS 53, the prevalence was 12.7%; 35 women suffering from MS, the prevalence was 11.5%, the prevalence of MS was no significant difference between men and women (χ2 = 0.263 , P gt; 0.05). The most common type of MS combination in the elderly population in the community is the combination of high blood sugar hypertension dyslipidemia in 25 cases (31.8%), MS a combination of the lowest percentage of overweight or obesity, dyslipidemia combination of high blood sugar in 6 cases (6.8%). The number of MS risk group was divided into 0,1,2,3,4 255,244,134,73,15, respectively, 35.4%, 33.8%, 18.6%, 10.1% and 2.1%, respectively. Middle-aged high blood sugar and lower than the prevalence of hypertension in the elderly, the difference was statistically significant (χ 2 = 14.585, P lt; 0.05; χ2 = 54.652, P lt; 0.05); while middle-aged dyslipidemia patients higher morbidity than older people (χ2 = 4.765, P lt; 0.05). The prevalence of MS and its components (overweight or obesity, high blood sugar, high blood pressure and dyslipidemia) were 12.2%, 23.2%, 16.6%, 40.9% and 29.0%, respectively. Female obesity prevalence is much lower than that of men, the difference was statistically significant (χ 2 = 6.848, P = 0.009). Metabolic syndrome between men and women, high blood sugar, high blood pressure and dyslipidemia prevalence difference was not statistically significant (P = gt; 0.05). Whether the risk of metabolic syndrome as dependent variables, multivariate Logistic regression analysis showed that the the MS impact of factors in addition to the four components of the CDS diagnostic criteria (overweight and obesity, high blood pressure, high blood sugar and lipid disorders) related to education level, LDL -C, VLDL-C, nap habits, family history of diabetes, fatty liver, coronary heart disease and waist circumference are the influencing factors of MS. With the increase in waist circumference, education level, LDL-C, VLDL-C, the risk of the population suffering from MS also increases. The crowd with a family history of diabetes and siesta habit, respectively, than those without a family history of diabetes and no siesta habit populations suffering from MS risk. Populations suffering from fatty liver and coronary heart disease were also less suffering from fatty liver and coronary heart disease in people suffering from MS risk is higher. In the elderly population of MS patients in the physical, psychological, social relations, and the environmental field score (63.1 ± 12.4) (68.2 ± 10.7) (63.1 ± 11.8) and (64.7 ± 10.3) points, non-MS patients in physiological psychological, social relationships and environment field score (66.9 ± 12.2) (69.8 ± 10.7) (65.2 ± 11.1) and (65.2 ± 11.0) points, quality of life score difference between the two groups was statistically significant in the physiological field. In men, the quality of life of MS patients in the physical domain score lower than the non-MS patients, the difference was statistically significant (P lt; 0.05); women, the quality of life of MS patients in various fields, scores of non-MS patients differences No statistically significant. In middle-aged people, the quality of life of MS patients in various fields rated and non-MS patients differences not statistically significant; elderly, the quality of life of MS patients in the field of physical and social relations score lower than the non-MS patients, The difference was statistically significant. High school and high school education in MS patients quality of life in patients with non-MS differences not statistically significant, while the junior high school and junior high school education MS patients quality of life in all areas of quality of life is lower than the non-MS patients, the difference was statistically significance. MS quality of life in patients with in physiological areas score lower than the non-MS patients, and in adjusting for age, gender and education level, the quality of life of MS patients in the physiological areas score is also lower than the non-MS patients, the difference was statistically significant . Conclusion elderly population prevalence of MS, which combined with high blood sugar, high blood pressure and dyslipidemia disease is the most common. The main influencing factors in the elderly population MS waist, educational level, LDL-C and VLDL-C, coronary heart disease and fatty liver, and there may be a genetic predisposition. MS patients have a certain impact on quality of life, especially in men, the elderly and the low educational level of patients with MS. Control waist circumference, LDL-C and VLDL-C level measures on the prevention of MS, to improve the quality of life of the people is of great significance.
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