Epidemiological characteristics and trends of cardiometabolic risk factors in residents aged 18-64 years in 15 provinces of China

Abstract

Objective: To investigate the epidemiological characteristics and trends of cardiometabolic risk factors in residents aged 18-64 years in 15 provinces (autonomous regions,municipalities) of China, and to analyze the impact of demographic characteristics on cardiometabolic risk factors. Methods: 19 827 adults aged 18-64 from the "China Health and Nutrition Survey" in 2009, 2015 and 2018 were selected as subjects. Using the data of demographic and economic factors, blood biochemical measurements and physical measurements, the trend of detection rates of metabolic risk factors in different years was analyzed by Joinpoint regression model. The association between risk factors and demographic characteristics was analyzed by multinomial logit model. Results: Among all the risk factors, overweight and central obesity had the highest detection rates (36.41% and 39.93%, respectively). In addition, among the three years, the clustering of risk factors was highest in 2015 and decreased slightly in 2018. Joinpoint regression model analysis showed that the detection rates of most metabolic risk factors expressing an overall upward trend from 2009 to 2018 but there was no significantly statistical difference in annual percentage change (APC). Among the risk factors under APC>0, the APC of obesity and diabetes was the largest (APC=5.37%, t=3.26, P=0.190; APC=5.52%, t=7.70, P=0.082), while among the risk factors with APC<0, high hs-CRP appeared as the largest (APC=-6.95%, t=-4.17, P=0.150). Multinomial logit model showed that male had higher risk of developing all metabolic risk factors than female except LDL-C, TC and hs-CRP. The risk of other risk factors except HDL-C in adults aged 45-64 years was higher than that in the younger age group aged 18-44 years, and was more significant in hypertension and elevated HbA1c, which were 4.67 (95%CI:4.07-5.37) times and 3.73 (95%CI:2.91-4.77) times of the younger age group, respectively. Residents living in the eastern areas had the highest risk of obesity, borderline high LDL-C, hypertension, elevated blood glucose and diabetes, and the lowest risk of elevated TG and high hs-CRP. People from the western region had the lowest risk of central obesity, elevated blood pressure and hypertension. Conclusions: In the three years, the detection rate and clustering of most risk factors were the highest in 2015, and there was little change in 2018. Gender, age and geographical distribution were the main influencing factors of cadiometabolic risk factors. It is suggested to adopt targeted prevention strategies and intervention measures to reduce the risk of cardiovascular disease.