Dietary patterns and their associations with metabolic syndrome and predicted 10-year risk of cardiovascular disease in northwest Chinese adults.

The diet impact on metabolic syndrome(MetS) and cardiovascular diseases has been investigated widely, but few studies investigated the association between dietary patterns(DPs) and the the predicted cardiovascular disease, derived from reduced-rank regression (RRR). The objectives of this study were to derive DPs using RRR and principal component analysis (PCA), and investigate their associations with MetS and estimated 10-year atherosclerotic cardiovascular disease (ASCVD). We used the baseline dataset from the Xinjiang multi-ethnic cohort study in China, collected from June 2018 to may 2019. A total of 14982 subjects aged 35-74 years from Urumqi, Huo Cheng, and Mo Yu were included in the analysis. The 10-year ASCVD risk was estimated using the Chinse ASCVD risk equations. The associations of DPs with MetS and 10-year ASCVD were determined using multivariable logistic regression models. In Urumqi and Mo yu, the increased RRR DP score was associated with a higher odds ratio (OR) of having the MetS and with a higher OR of elevated 10-year ASCVD risk. However, Only the first DP determined by PCA in Urumqi were inversely associated with MetS and elevated 10-year ASCVD risk. The prevalence of MetS and elevated ASCVD risk in urban population is higher than that in rural areas. Our results may help nutritionists develop more targeted dietary strategies to prevent MetS and ASCVD in different regions in China.