Shuzhen Zhu1, Jie Hu2, Thomas P McCoy2, Guangwu Li3, Jianyong Zhu4, Meirong Lei1,5, Jie Yuan5, Jingxia Peng4, Linglin Kong6. 1. School of Nursing, Hubei University of Medicine, Shiyan City, Hubei Province, China (Ms S. Zhu) 2. School of Nursing, University of North Carolina Greensboro, Greensboro, NC, USA (Dr Hu, Dr McCoy) 3. School of Biomedical Engineering, Hubei University of Medicine, Hubei Province, China (Mr Li) 4. Department of Diabetes, Affiliated People's Hospital of Hubei University of Medicine, Shiyan City, Hubei Province, China (Mr J. Zhu, Ms Peng) 5. School of Nursing, Hubei University of Medicine, Hubei Province, China (Ms Lei, Mr Yuan) 6. School of Nursing, Hubei University of Science and Technology, Hubei Province, China (Ms Kong)
Abstract
PURPOSE: The purpose of the study was to investigate (1) the associations of socioeconomic status, lifestyle risk factors, and the prevalence of newly diagnosed type 2 diabetes and (2) the mediating effects of lifestyle risk factors on the association of socioeconomic status and the prevalence of newly diagnosed type 2 diabetes among Chinese adults in northwest China. METHODS: Based on a correlational design and random multistage sampling in communities (N = 3243), data were collected through face-to-face interviews and anthropometric measurements. Education, occupation, and income were considered indicators of socioeconomic status. RESULTS: Approximately 7.5% persons interviewed had newly diagnosed type 2 diabetes. Chi-square analyses showed that higher socioeconomic indicators (higher income, nonmanual occupation) were associated with increased risk. Lifestyle risk factors, including alcohol use, unhealthy diet, and higher body mass index, were significantly positively associated with type 2 diabetes. Adjusting for demographic characteristics, hierarchical logistic regression analyses showed that unhealthy diet and high body mass index were significantly associated with type 2 diabetes. CONCLUSIONS: Higher incomes and nonmanual occupations were related to a greater prevalence of type 2 diabetes, and high body mass index mediated these associations. These findings suggest that interventions for type 2 diabetes in China should be targeted at populations with high socioeconomic status and nonmanual occupations to reduce lifestyle risk factors and prevent diabetes.
PURPOSE: The purpose of the study was to investigate (1) the associations of socioeconomic status, lifestyle risk factors, and the prevalence of newly diagnosed type 2 diabetes and (2) the mediating effects of lifestyle risk factors on the association of socioeconomic status and the prevalence of newly diagnosed type 2 diabetes among Chinese adults in northwest China. METHODS: Based on a correlational design and random multistage sampling in communities (N = 3243), data were collected through face-to-face interviews and anthropometric measurements. Education, occupation, and income were considered indicators of socioeconomic status. RESULTS: Approximately 7.5% persons interviewed had newly diagnosed type 2 diabetes. Chi-square analyses showed that higher socioeconomic indicators (higher income, nonmanual occupation) were associated with increased risk. Lifestyle risk factors, including alcohol use, unhealthy diet, and higher body mass index, were significantly positively associated with type 2 diabetes. Adjusting for demographic characteristics, hierarchical logistic regression analyses showed that unhealthy diet and high body mass index were significantly associated with type 2 diabetes. CONCLUSIONS: Higher incomes and nonmanual occupations were related to a greater prevalence of type 2 diabetes, and high body mass index mediated these associations. These findings suggest that interventions for type 2 diabetes in China should be targeted at populations with high socioeconomic status and nonmanual occupations to reduce lifestyle risk factors and prevent diabetes.
Authors: Yongjuan Wang; Xuanyi Liang; Ziai Zhou; Zeyi Hou; Jinyu Yang; Yanpei Gao; Chenyu Yang; Tao Chen; Chao Li Journal: Int J Environ Res Public Health Date: 2022-03-04 Impact factor: 3.390