Clustering of risk factors among residents at high risk of cardiovascular diseases in Shaoxing City / 预防医学

ABSTRACT

Objective@#To investigate the clustering of risk factors among populations at high risk of cardiovascular diseases in Shaoxing City, Zhejiang Province, so as to provide the evidence for formulating the cardiovascular disease control measures among populations at high risk of cardiovascular diseases.@*Methods@#The populations with hypertension, diabetes, dyslipidemia and a history of cardio-cerebrovascular disease at ages of 35 to 70 years were sampled from 6 districts (counties) of Shaoxing City using a multi-stage cluster random sampling method from May to July 2021. Participants' demographics, history of disease, smoking, alcohol consumption and drug use were collected through questionnaires, and height, body weight and blood lipid were measured. The participants at high risk of cardiovascular diseases were enrolled, and the prevalence and clustering of five risk factors were investigated, including current smoking, current alcohol consumption, overweight/obesity, never exercise and daily sedentary duration of 3 hours and longer. Factors affecting the clustering of risk factors were identified with an ordinal logistic regression model.@*Results@# Totally 1 695 participants were enrolled, including 940 men (55.46%) and 755 women (44.54%), with a mean age of (62.56±6.08) years old. There were 213 participants with a history of cardio-cerebrovascular disease (12.57%), and the prevalence of hypertension, diabetes and dyslipidemia was 78.53%, 61.95% and 46.78%, respectively, and there were 32.63% of participants with current smoking, 35.99% with current alcohol consumption, 49.38% with overweight/obesity, 62.12% with never exercise and 61.24% with daily sedentary duration of 3 hours and longer, respectively. There were 28.85% of participants with two risk factors, and 46.90% with three to five risk factors. Ordinal logistic regression analysis showed that male (OR=5.430, 95%CI 4.389-6.726), and development of hypertension (OR=1.655, 95%CI 1.313-2.090) led to present more numbers of clustering of risk factors, and annual household income of 20 000 to 50 000 Yuan (OR=0.620, 95%CI 0.473-0.812), a history of cardio-cerebrovascular diseases (OR=0.430, 95%CI 0.324-0.572), presence of diabetes (OR=0.592, 95%CI 0.476-0.736) led to less numbers of clustering of risk factors among populations at high risk of cardiovascular diseases. @*Conclusions @#There is clustering of risk factors among populations at high risk of cardiovascular diseases in Shaoxing City. Men, income, history of cardio-cerebrovascular diseases, hypertension and diabetes are factors affecting the clustering of risk factors.