The Relationship Between Dietary Index CHEI, DBI-16 And Metabolic Syndrome In Rural Yili, Xinjiang

Objective: To analyze the dietary quality of rural residents with Chinese healthy eating index(CHEI)and adjusted dietary balance index(DBI-16).Investigate the relationship between CHEI,DBI-16 and metabolic syndrome(MetS)and its components include waist circumference(WC),blood glucose(FBG),blood pressure(BP),triglycerides(TG)and high density lipoprotein cholesterol abnormalities(HDL-C).Methods: The research object was selected from the residents of Yili Huocheng County who participated in the "Study on the Construction of Xinjiang Multi-ethnic Natural Population Cohort".Collect general information,dietary intake,physical measurements and blood glucose and lipid indicators.Calculate the CHEI,and positive end points(HBS),negative end points(LBS),diet quality distance(DQD),and total scores in DBI-16.MetS was diagnosed using the updated diagnostic criteria of the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes(2013 Edition).Multivariate logistic regression model was used to analyze the association between CHEI?HBS?LBS?DQD?scores of each food group and MetS after adjusting for potential confounding factors.Results: A total of 2672 subjects were surveyed,and the prevalence rate of MetS was17.4%.The most common aggregation of MetS components was WC(54.0%),with the most abnormal accumulation of WC+BP+TG(27%).The average dietary quality of the study subjects was 47.90 ±7.61.There was a moderate imbalance in dietary intake(DQD=42),which was manifested by a low dietary deficiency(LB =23)and a low dietary excess(HBS=15).MetS and non-MetS patients had significant differences in CHEI?LBS?and TS scores(P<0.01);After adjusting for potential confounding factors,multiple Logistic regression analysis was performed: compared with the lowest quartile of CHEI subjects,the highest quartile MetS risk is the lowest,with an OR value of 0.723(95% CI:0.537~0.949);Potato scores,vegetable scores,and edible oil scores are protective factors for MetS,with OR values of 0.661(95% CI:0.473~0.924),0.914(95% CI:0.850~0.982),and 0.953(95% CI:0.914~0.994).After adjusting for potential confounding factors,theresults of multiple logistic regression analysis revealed that the DBI-16 food diversity score was a protective factor for MetS with an OR value of 0.900(95% CI:0.824~0.984).Conclusions: A high-quality diet may reduce the risk of MetS.Therefore,it is necessary to balance the intake ratio of food groups while maintaining food diversity,pay attention to the influence of each food on the abnormality of MetS components,and prevent the occurrence of MetS component aggregation to effectively prevent the occurrence and development of MetS.