The status and risk factors of self-health management among community residents in Shenzhen

Abstract

To analyze the risk factors of the self-health management among Shenzhen's community residents by surveying the status of the self-health management. Multi-stage cluster random sampling was used in this study. The estimated sample size was 6 400 of the study, and the actual number of the subjects was 6 413, who were from 32 communities in Shenzhen. All the subjects were investigated by using a self-devised questionnaire on July 2012. The contents of the questionnaire included sociodemographic characteristics of genders, age, household register, marriage suatus, degrees of education, income, investment of health, family population, the status of self-health management, self-health assessment, illness and injury in the last two weeks, chronic diseases and in hospital last year. Through binary logistic regression, factors influencing the self-health status were analyzed. The proportion of self-health management among the residents was 29.47% (1 890/6 413), and the proportion was 37.26% (392/1 052) among the first ten chronic disease patients. The proportions of diabetes mellitus, anemia, cardiovascular disease, chronic bronchitis and hypertension patients were higher, which were 46.67% (35/75) , 41.94% (26/62), 38.96% (30/77) , 38.95% (37/95) and 38.93% (102/262) respectively. The binary regression analysis results showed that the effect factors of the self-health management were high age (OR = 1.22, 95% CI: 1.15-1.30) , females (OR = 1.20, 95% CI: 1.07-1.34) , high culture (OR = 1.24, 95% CI: 1.15-1.34) , high monthly income (OR = 1.07, 95% CI: 1.00- 1.13) , large family population (OR = 1.23, 95%CI: 1.10-1.38) , household register in Shenzhen (OR = 1.13, 95% CI: 1.00-1.29) , chronic diseases (OR = 1.22, 95% CI: 1.05-1.42). The proportion of self-health management among the community residents in Shenzhen was not high. We should put more effort on construction of health management system, and take action on intervention of the risk factor of health management status.