Lianjun Zhang1, Zhaokang Yuan2, Jay E Maddock3, Jiaojiao Zou1, Zengwang Zheng4, Wei Zhou5, Huilie Zheng1. 1. School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China. 2. School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China yuanzhaokang@126.com. 3. School of Public Health, Nanchang University, Nanchang, Jiangxi 330006, China Department of Public Health Sciences, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA. 4. School of Public Health, Wuhan University, Wuhan, Hubei 430071, China. 5. Center for Disease Control and Prevention of Shaoxing City, Zhejiang 312071, China.
Abstract
BACKGROUND: This study assessed the prevalence of chronic disease among rural residents in Jiangxi, China, analyzed influencing factors and provided scientific rationale for chronic disease prevention and control. METHODS: Multi-stage stratified cluster random sampling was used to get a representative sample of rural residents in three counties across five time points from 2003 to 2012. Multivariate logistic regression and χ(2) analysis were performed to analyze the influencing factors. RESULTS: The average prevalence of chronic disease across the five surveys was 7.9%. A declining trend in chronic disease prevalence from 9.1% in the baseline year to 6.9% in 2012 was observed. Multivariate logistic regression analysis showed that age, gender, occupation, education, marital status and employment were related to the prevalence of chronic disease. CONCLUSION: The prevalence of chronic disease among rural residents in Jiangxi Province was lower than the national level, and declined over the course of the study. Strengthening health services and interventions for women, farmers, those who are divorced or widowed, the unemployed, and those with a low level of education or low income will help to improve the health status of the population.
BACKGROUND: This study assessed the prevalence of chronic disease among rural residents in Jiangxi, China, analyzed influencing factors and provided scientific rationale for chronic disease prevention and control. METHODS: Multi-stage stratified cluster random sampling was used to get a representative sample of rural residents in three counties across five time points from 2003 to 2012. Multivariate logistic regression and χ(2) analysis were performed to analyze the influencing factors. RESULTS: The average prevalence of chronic disease across the five surveys was 7.9%. A declining trend in chronic disease prevalence from 9.1% in the baseline year to 6.9% in 2012 was observed. Multivariate logistic regression analysis showed that age, gender, occupation, education, marital status and employment were related to the prevalence of chronic disease. CONCLUSION: The prevalence of chronic disease among rural residents in Jiangxi Province was lower than the national level, and declined over the course of the study. Strengthening health services and interventions for women, farmers, those who are divorced or widowed, the unemployed, and those with a low level of education or low income will help to improve the health status of the population.
Authors: Xuemei Wang; Ting Zhang; Jing Wu; Shaohua Yin; Xi Nan; Maolin Du; Aiping Liu; Peiyu Wang Journal: Int J Environ Res Public Health Date: 2019-01-09 Impact factor: 3.390
Authors: Xiaotong Wen; Huilie Zheng; Zhenyi Feng; Winter Tucker; Yuanan Lu; Zhaokang Yuan Journal: Int J Environ Res Public Health Date: 2019-09-14 Impact factor: 3.390