Objective This study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region(Xinjiang)and thus provide a theoretical basis and data support for improving the health of residents in this region. Methods We recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016.The normalized difference vegetation index(NDVI)was used to estimate residential greenness.The generalized linear mixed model(GLMM)was used to examine the association between residential greenness and cardiometabolic risk factors. Results Higher residential greenness was associated with lower cardiometabolic risk factor prevalence.After adjustments were made for age,sex,education,and marital status,for each interquartile range(IQR)increase of NDVI500-m,the risk of hypertension was reduced by 10.3%(OR=0.897,95%CI=0.836-0.962),the risk of obesity by 20.5%(OR=0.795,95%CI=0.695-0.910),the risk of type 2 diabetes by 15.1%(OR=0.849,95%CI=0.740-0.974),and the risk of dyslipidemia by 10.5%(OR=0.895,95%CI=0.825-0.971).Risk factor aggregation was reduced by 20.4%(OR=0.796,95%CI=0.716-0.885)for the same.Stratified analysis showed that NDVI500-m was associated more strongly with hypertension,dyslipidemia,and risk factor aggregation among male participants.The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level.PM10 and physical activity mediated 1.9%-9.2%of the associations between NDVI500-m and obesity,dyslipidemia,and risk factor aggregation. Conclusion Higher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang.Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.

Objective:To investigate the incidence characteristics and influencing factors of non-alcoholic fatty liver disease (NAFLD) in rural Uyghur ethnic group residents in Xinjiang Production and Construction Corps and to provide scientific evidence for early identification and prevention of NAFLD for residents.Methods:A total of 10 158 participants were included from the Xinjiang Uygur ethnic group population cohort. A prospective cohort study and Cox proportional hazards regression model analysis were used to explore the influencing factors and clustering of NAFLD, and the dose-response relationship between related biochemical indicators and the risk of NAFLD was studied using a restricted cubic spline.Results:The cumulative incidence rate of NAFLD was 6.9%, and the incidence density of NAFLD was 12.06/1 000 person-years. The incidence density of NAFLD in females was higher than in males (14.72/1 000 person-years vs. 9.17/1 000 person-years, P<0.001). The incidence density of NAFLD gradually increased with age in the total population, both men and women (all P<0.001). In the general population, an education level of junior high school or above was a protective factor for NAFLD, while older age, divorce, widowhood, overweight, obesity, hypertension, increased glomerular filtration rate, decreased HDL-C, increased LDL-C, and increased ALT were risk factors for NAFLD. Estimated glomerular filtration rate (eGFR), HDL-C, LDL-C, and ALT were non-linearly correlated with the incidence of NAFLD, and there was a significant dose-response relationship between them. Only 19.1% of residents had no NAFLD risk factors; over 80.9% had ≥1 NAFLD risk factors. The risk of NAFLD increased with the number of risk factors. Conclusions:The incidence of NAFLD in rural Uygur ethnic group residents in Xinjiang Production and Construction Corps was relatively low, but most residents had one or more risk factors for NAFLD. Prevention and control of NAFLD in this population cannot be ignored. In addition, people of older age, divorced or widowed, low education level, overweight or obese, hypertension, and abnormal eGFR, HDL-C, LDL-C, and ALT were the high-risk groups of NAFLD that need to be paid attention to in this population.

ObjectiveTo investigate the association between ZJU index and the onset of nonalcoholic fatty liver disease （NAFLD） in the Uygur population and the value of ZJU index in predicting the risk of NAFLD. MethodsThe Uighur community of The 51st Regiment of The Third Division of Xinjiang Kashgar Corps was selected as the investigation site， and the Uygur residents who lived in this area and had an age of >18 years were selected as subjects. Follow-up studies were conducted in 2019， 2020， and 2021， and the investigation of outcomes was completed in June to August of 2021. Finally 10 597 subjects were enrolled for analysis. The Kruskal-Wallis H test was used for comparison of continuous variables between groups， and the chi-square test was used for comparison of categorical variables between groups. The subjects were divided into Q1-Q4 groups according to the level of ZJU index. The Kaplan-Meier curve was used to predict the incidence rate of NAFLD， and the Cox regression model was used to analyze the association between ZJU index and the risk of NAFLD； the area under the ROC curve （AUC） was used to evaluate the value of ZJU index in predicting the risk of NAFLD. ResultsDuring the median follow-up time of 4.92 years， the incidence rate of NAFLD was 9.4% （992/10 597） among the study population. After adjustment for multiple factors， there was a significant increase in the risk of NAFLD with the increase in ZJU index， with a hazard ratio of 2.55 （95% confidence interval ［CI］： 1.60‍ — ‍4.06）， 7.32 （95%CI： 4.78‍ — ‍11.20）， and 21.74 （95%CI： 14.32‍ — ‍33.00）， respectively （all P_trend<0.001）. The ROC curve showed that ZJU index had a higher value in predicting NAFLD （AUC=0.816）， and the male subgroup had a significantly higher predictive accuracy of ZJU index than the female subgroup （AUC： 0.829 vs 0.809）. ConclusionZJU index is a predictive factor for the onset of NAFLD in the Uygur population in rural areas of Xinjiang and has a good value in predicting the risk of NAFLD.

Objective:To investigate the association of cardiovascular diseases (CVD) with triglyceride glucose index (TyG) and TyG-related indicators in Uyghur populations of The Xinjiang Production and Construction Corps.Methods:Based on the cohort of the Uygur population of The Xinjiang Production and Construction Corps, 11 833 study subjects were included. The Kaplan-Meier method was used to estimate the cumulative incidence of CVD in each quartile of TyG and TyG-related indicators. Cox proportional hazards regression model was used to evaluate the relationship between TyG and CVD, TyG-related indicators and CVD. Framingham CVD risk score model (Framingham model) was used to evaluate whether the addition of TyG and TyG-related indicators could improve the predictive ability of the model. The potential mediating role of the TyG in the association between obesity and CVD was examined through mediation effect analysis.Results:The average age of the subjects was (37.00±13.67) years-old, and 51.0% were male. The median follow-up time was 5.67 years, with 1 288 CVD events. The cumulative incidence of CVD increased with the increase of TyG and TyG-related indicators quartiles, and compared with the Q1 group, the risk of CVD in the Q4 group of TyG, TyG-BMI, and TyG-WHtR increased by 20% ( HR=1.20, 95% CI: 1.01-1.42), 77% ( HR=1.77, 95% CI: 1.46-2.16) and 68% ( HR=1.68, 95% CI: 1.36-2.09), respectively. After adding TyG, TyG-BMI, and TyG-WHtR to the Framingham model, respectively, the model's area under the curve, net reclassification improvement, and integrated discrimination improvement were improved. In the association between BMI, WHtR, and CVD, the proportion of mediating effects mediated by the TyG index was 10.55% and 11.50%. Conclusions:Elevated levels of TyG and TyG-related indicators were strongly associated with the risk of CVD in the Uyghur population of The Xinjiang Production and Construction Corps, with TyG-BMI being the most closely correlated with CVD. Early monitoring of TyG-BMI helps identify high-risk groups of CVD.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective:To analyze whether triglyceride-glucose (TyG) index is associated with increased risk of cardiovascular diseases (CVD) and the value of TyG index in predicting CVD risk among Kazakh and Uighur population of Xinjiang.Methods:In this study, 5 375 Kazakh and Uygur people of Xinyuan county and Jiashi county were selected as the research objects. Subjects were divided into four groups based on the quartile of the TyG index level. Cox regression model was used to analyze the association between TyG index with the risk of CVD. The dose-response relationship between TyG index and CVD risk was described by restricted cubic splines. The area under the receiver operating characteristic curve, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to estimate the value of TyG index for predicting CVD. Mediating effect analysis was conducted to analyze the mediating effect of TyG index in the association between body mass index and CVD.Results:The age of subjects was 41.06（30.11，53.00）years old, with 46.30%（2 489/5 375）was male. After multivariate adjustment, there was an increasing trend between the risk of CVD and the higher TyG index Ptrend<0.001, compared with subjects of TyG index in Q1, the HR (95% CI) of Q2, Q3, and Q4 groups was 1.53, 1.23 and 1.73, respectively. Restricted cubic splines showed that TyG index was the linearly associated with the risk of CVD. TyG index could improve the prediction ability of Framingham model for the risk of CVD (NRI=0.106, P=0.010; IDI=0.003, P=0.030). The mediating effect analysis showed that in the relationship between body mass index and CVD, the TyG index had a mediating effect ( P<0.001), and the ratio of mediating effect was 12.69%. Conclusion:TyG index is an independent predictor of CVD risk among kazakh and Uygur population in Xinjiang and has a good predictive value for the risk of CVD.

Objective: To construct and confirm a predictive model for the risks of cardiovascular diseases (CVD) with metabolic syndrome (MS) and its factors in Xinjiang Kazakh population. Methods: A total of 2 286 Kazakh individuals were followed for 5 years from 2010 to 2012 as baseline survey. They were recruited in Xinyuan county, Yili city, Xinjiang. CVD cases were identified via medical records of the local hospitals in 2013, 2016 and 2017, respectively. Factor analysis was performed on 706 MS patients at baseline, and main factors, age, and sex were extracted from 18 medical examination indexs to construct a predictive model of CVD risk. After excluding the subjects with CVD at baseline and incomplete data, 2007 were used as internal validation, and 219 Kazakhs in Halabra Township were used as external validation. Logistic regression discriminations were used for internal validation and external validation, as well as to calculate the probability of CVD for each participant and receiver operating characteristic curves. Results: The prevalence of MS in Kazakh was 30.88%. Seven main factors were extracted from the Kazakh MS population, namely obesity factor, blood lipid and blood glucose factor, liver function factor, blood lipid factor, renal metabolic factor, blood pressure factor, and liver enzyme factor. The area under the curve (AUC) for predicting CVD in the internal validation was 0.773 (95%CI 0.754-0.792). In the external validation, the AUC for predicting CVD was 0.858 (95%CI 0.805-0.901). Conclusions The CVD risk prediction model constructed by 7 main factors extracted from Kazakh MS patients has high validation efficiency and can be used for risk assessment of CVD in Xinjiang Kazakh population.

Objective: To compare metabolic syndrome(MS)with Framingham risk score as predictors of cardiovascular disease(CVD)among Kazakhs population. Methods: The participants were the residents who had been followed up for more than 5 years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting years in representative areas of Kazakhs in Xinjiang. We assigned MS a continuous risk score for predicting the development of CVD based on the weights of MS components. MS and Framingham risk score were compared in terms of their ability in predicting development of CVD using Cox regression and receiver operating characteristic curve. Results: The incidence of CVD was 13.87%. The incidence of CVD was higher in the MS group than it in the non-MS group(21.59% vs 11.10%, P<0.001). The area under the receiver operating characteristic(ROC)curve of MS risk score was significantly larger than that of MS classification(0.727 vs 0.585, P<0.001); the area under the curve of MS risk score was close to that of Framingham risk score(0.732 vs 0.727, P=0.673). The association between CVD and each quintile of MS risk score was more significant than that between Framingham risk score and CVD under the same exposed condition(4.61, 9.33, 14.15, 22.29 vs 3.69, 6.36, 8.47, 16.99). Conclusion MS risk score that included age may be a better predictor of CVD among Kazakhs population.

Objective To investigate the prevalence of metabolic syndrome and appropriate cut-off point of waist circumference of abdominal obesity for components of metabolic syndrome in Uygur population in Xinjiang. Methods A questionnaire-based survey, physical examination, and blood testing were conducted according to cluster random sampling in Uygur residents above 18 years old in Xinjiang.There were 3 542 samples collected,based on the International Diabetes Federation(IDF)standard of metabolic syndrome, the relativities of clustering of metabolic syndrome components and different strata of waist circumference for Uygur were analyzed,and looking for the appropriate cut-off points for identifying two or more components of metabolic syndrome within the shortest distance of receiver operating characteristic(ROC)curve.Results According to IDF standard,the waist circumference(85 cm for men,82 cm for women)corresponded to the shortest distance in ROC curve,at these cut-offs of abdominal obesity for component of metabolic syndrome,the prevalences of metabolic syndrome were 21.3%,19.5%in men, while 23.0%in women,the prevalence of women was higher than that of men(P<0.05).The prevalences of≥1,≥2 components of metabolic syndrome were shown an increasing trend with the increasing size of waist circumference, and the odds ratio of clustering of metabolic syndrome components were also increased significantly.Conclusion The prevalence of metabolic syndrome among Xinjiang Uygur population was higher than that of national level.The cut-off points of waist circumference(85 cm for men,82 cm for women)combining other components definition of IDF standard were recommended for identifying metabolic syndrome of Uygurs.

Objective To investigate the effect of haplotype and linkage disequilibrium of PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 in patients with metabolic syndrome ( MS) in Kazakhs of Xinjiang.Methods MALDI-TOF-MS was used to detect PPARγgene rs3856806, rs12490265, rs1797912, and rs1175543 genotypes in 489 subjects ( including 245 MS and 244 controls ) .Results ( 1 ) The frequencies of rs3856806T, rs12490265A, rs1797912C and rs1175543G alleles for MS group in Kazakhs were all significantly lower than those for controls [ rs3856806T allele:12.53% vs 17.01%; rs12490265A allele: 31.84% vs 38.52%;rs1797912C allele:35.31%vs 43.24%;rs1175543G allele:40.61%vs 47.54%(all P<0.05)].(2)Significant linkage disequilibrium were observed between PPARγgene rs1797912 and rs1175543, rs12490265, and rs1175543 polymorphisms.(3)AGCC and GAAT were significantly different between MS and control group in Kazakhs(both P<0.05).(4) Carrying rs3856806T, rs12490265A, rs1797912C, rs1175543G was 0.267 times that of carrying rs3856806C, rs12490265G, rs1797912A, rs1175543A.Conclusions The PPARγgene rs3856806, rs12490265, rs1797912 and rs1175543 polymorphisms were associated with metabolic syndrome in Kazakhs.There were very strong linkage disequilibrium between PPARγgene rs1797912 and rs1175543, rs12490265 and rs1175543 polymorphisms, The AGCC haplotype and GAAT haplotype may serve as protective factors of metabolic syndrome.Carrying rs3856806T, rs12490265A, rs1797912C, and rs1175543G may confer lower risk of MS in Kazakhs.