Journal of Hebei Medical University

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Analysis of the 4-week prevalence rate and influencing factors of Chinese adult residents#br#

  

  1. Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University,
    Hebei Province Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
  • Online:2020-04-25 Published:2020-05-15

Abstract: [Abstract] Objective〖HTSS〗To study the 4-week prevalence rate and its influencing factors of adult residents in 12 provinces(autonomous regions) in 2015 in order to provide reference for rational allocation of health resources and promotion of residents health.
 〖WTHZ〗Methods〖HTSS〗In this study, the adult population of the China Health and Nutrition Survey 2015 open database age ≥18 years old was selected as the study object, and the two-category unconditional logistic regression model was used to analyze the influencing factors of the 4-week prevalence rate.
 〖WTHZ〗Results〖HTSS〗The 4-week prevalence rate of adult residents in China was 15.8%. The results of the two-category logistic regression showed that the factors affecting the 4-week prevalence of adult residents were gender, age, marital status, employment status, education, urban and rural areas, and the situation of medical doctors last year. The prevalence rate of females was higher than that of males. The prevalence rate increased with age, and the prevalence rate decreased with the increase of education. The prevalence rate of urban areas was higher than that of rural areas, and the prevalence rate in western areas was higher. The prevalence of other marital status such as divorce or widowhood was higher than that of unmarried and married people. The unemployment rate or unemployment rate was higher than that of the working population. The prevalence rate of people who have seen medical doctors in the previous year was higher than that of people who have not seen medical doctors. 
 〖WTHZ〗Conclusion〖HTSS〗We should strengthen health services and health education for women, old age, divorced or widowed, low-educated, and unemployed and people in the western region.

Key words: prevalence, root cause analysis, Logistic models, health services