Clustering analysis of chronic diseases risk factors among adult residents in Rui'an City
FANG Yedong1, SUN Fanghong1, DENG Jiankai2, QIU Fangfang1, WANG Xiaozhen1, ZHOU Zumu3
1. Rui' an Center for Disease Control and Prevention, Rui'an, Zhejiang 325200, China; 2. The Third Affiliated Hospital of Wenzhou Medical University, Rui'an, Zhejiang 325200, China; 3. Clinical Research Center, The Affiliated Kangning Hospital of Wenzhou Medical University/Zhejiang Provincial Clinical Research Center for Mental Disorders, Wenzhou, Zhejiang 325007, China
Abstract：Objective To analyze the prevalence status and clustering patterns of risk factors for chronic diseases among adult residents in Rui' an City, Zhejiang Province, so as to provide a basis for formulating strategies for the prevention and control of chronic diseases and implementing risk factor interventions. Methods A multi-stage random cluster sampling method was used to select residents aged ≥18 years in 5 townships (sub-districts) of Rui' an City as survey subjects from December 2023 to March 2024. Data on basic information, history of major chronic diseases, lifestyle behaviors, height, weight, and blood biochemical indicators were collected through questionnaire surveys, physical examinations, and laboratory tests. Descriptive analysis was used to analyze the prevalence status of 5 risk factors for chronic diseases. K-means clustering analysis was used to analyze clustering patterns. Results A total of 3 060 people were surveyed, including 1 476 males, accounting for 48.24%, and 1 584 females, accounting for 51.76%. The median age was 49.00 (interquartile range, 25.00) years. There were 1 275 cases (41.67%) of hypertension, 462 cases (15.10%) of diabetes, and 1 460 cases (47.71%) of dyslipidemia. Insufficient fruit and vegetable intake, excessive salt intake, overweight and obesity, excessive red meat intake, and smoking involved 2 201, 1 878, 1 541, 1 337, and 571 people, with prevalences of 71.93%, 61.37%, 50.36%, 43.69%, and 18.66%, respectively. K-means clustering analysis identified 4 clustering patterns: smoking-insufficient fruit and vegetable intake type (249 people, accounting for 8.20%), low intake type (1 421 people, accounting for 46.75%). high red meat type (245 people, accounting for 8.07%), and high BMI-high salt type (1 118 people, accounting for 36.96%). The prevalences of hypertension and diabetes were higher in adult residents of the high BMI-high salt type, at 56.53% and 20.30%, respectively. The prevalence of dyslipidemia was higher in adult residents of the smoking-insufficient fruit and vegetable intake type, at 59.44%. Conclusions The prevalence of insufficient fruit and vegetable intake among adult residents in Rui' an City is relatively high. The clustering pattern of chronic disease risk factors is dominated by the low intake type. The prevalence of chronic diseases is higher in adult residents of the high BMI-high salt type and smoking-insufficient fruit and vegetable intake type. It is suggested to carry out health education and collaborative intervention of risk factors for different risk groups.
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