Objective: To investigate the prevalence of hypertension, diabetes and dyslipidemia among physical examination populations at ages of 35 to 75 years in Karamay City of Xinjiang Uygur Autonomous Region, so as to provide insights into the management of chronic disease control. Methods: Residents receiving physical examinations at ages of 35 to 75 years were sampled from 9 communities in Karamay City using the cluster random sampling method. Demographic features and health-related behaviors were collected using questionnaires, and the height, weight, blood pressure, and fasting blood glucose and blood lipid levels were measured. The prevalence of hypertension, diabetes and dyslipidemia was descriptively analyzed, and their risk factors were identified using multivariable logistic regression analysis. Results: A total of 32 556 subjects were sampled, including 12 354 males ( 37.95% ) and 20 202 females ( 62.05% ), with a mean age of ( 56.63±12.78 ) years. The prevalence of hypertension, diabetes and dyslipidemia was 31.72%, 12.18% and 28.69%, and the common comorbidity was dyslipidemia with hypertension ( 2 483 cases, 7.63% ). Multivariable logistic regression analysis identified men ( OR=1.362, 1.823 and 1.130 ), ages of ≥40 years ( OR=3.327-14.019, 2.870-15.337 and 1.530-2.092 ), a family history of chronic diseases ( OR=1.147, 1.249 and 1.200 ), smoking ( OR=1.111, 1.464 and 1.248 ), meat-based diet ( OR=2.081, 2.266 and 1.110 ), vegetable-based diet ( OR=0.479, 0.353 and 0.634 ), underweight ( OR=0.504, 0.298 and 0.546 ), overweight ( OR=1.872, 1.565 and 1.289 ) and obesity ( OR=2.840, 2.177 and 1.230 ) as common influencing factors for hypertension, diabetes and dyslipidemia. Conclusions The prevalence of hypertension is high among physical examination populations at ages of 35 to 75 years in Karamay City. Gender, age, a family history of chronic diseases, smoking, diet habits and body mass index are common factors affecting hypertension, diabetes and dyslipidemia.

Objective: To construct a prediction model of non-alcoholic fatty liver disease (NAFLD) in middle-aged and elderly patients with type 2 diabetes mellitus (T2DM), so as to provide basis for early screening and prevention of T2DM complicated with NAFLD. Methods: Patients aged 45 years and above and diagnosed with T2DM in Karamay Hospital of People's Hospital of Xinjiang Uygur Autonomous Region in 2021 were collected as the study subjects. The data of general demographic characteristics and biochemical test results were collected. The patients were randomly divided into training group (n=3 241) and validation group (n=1 389) according to the ratio of 7∶3. LASSO regression and multivariable logistic regression model were used to select predictive factors. The nomograph model for prediction of NAFLD risk in T2DM patients was established. The predictive value of the model was evaluated using the receiver operating characteristic (ROC), adjusted curve and decision clinical analysis. Results: Totally 4 630 T2DM cases were included, including 1 279 cases (27.62%) complicated with NAFLD. LASSO regression and multivariable logistic regression analysis identified gender, age, diastolic blood pressure, body mass index, alanine transaminase, triglycerides, low density lipoprotein cholesterol and platelet count as risk prediction factors for NAFLD in T2DM patients. The area under the ROC curve was 0.823 (95%CI: 0.814-0.832) for the training group and 0.809 (95%CI: 0.799-0.818) for the validation group, and Hosmer-Lemeshow test showed a good fitting effect (P>0.05). Decision curve analysis showed higher net clinical benefit of using the predictive model to predict NAFLD risk when the risk threshold probability was 0.27 to 0.85. Conclusion The nomogram model established has a good predictive value for the risk of NAFLD in T2DM patients aged 45 years and above.