Logistic Regression Analysis on Risk Factors of Northwest Dryness Syndrome Among Patients of Metabolic Syndrome in Xinjiang Uygur Autonomous Region
10.3969/j.issn.1005-5304.2015.09.005
- VernacularTitle:新疆地区代谢综合征患者西北燥证危险因素 Logistic回归分析
- Author:
Yan WANG
;
Xiaozhong WANG
;
Yan MA
;
Xiaofang ZHUANG
;
Feng GUO
;
Jiaying HE
- Publication Type:Journal Article
- Keywords:
metabolic syndrome;
northwest dryness syndrome;
risk factor;
Logistic regression analysis
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2015;(9):15-17
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze risk factors of northwest dryness syndrome (NDS) among the patients of metabolic syndrome in Xinjiang Uygur Autonomous Region.Methods Totally 321 cases of metabolic syndrome in Kashgar, Hami and Urumqi were collected to filter 15 variables to calculate OR value and 95% CI, and evaluated by single factor and multi-factor analysis by applying conditional Logistic regression analysis.Results Single factor conditional Logistic regression analysis showed that high fat diet, addiction to hot diet, salty diet, smoking history and hypertension were the risk factors of NDS. The OR values of them were 0.387, 0.071, 0.033, 2.614 and 0.440, respectively (P<0.05). Multi-factor conditional Logistic regression analysis showed that smoking history, alcohol drinking history, high fat diet and hypertension were all entered into regression model. The OR values of them were 3.945, 4.334, 0.370 and 2.142, respectively (P<0.01).Conclusion Patients of metabolic syndrome with a high fat, salty and hot diet are suggested to adjust their diet habit by adding sour food, giving up smoking and drinking, and controlling their blood pressure. It will be helpful for them to adapt local climate and living environment, and reduce the attack rate of NDS.
