Socioeconomic status and self-rated health in China: Findings from a cross-sectional study

Medicine (Baltimore). 2019 Mar;98(12):e14904. doi: 10.1097/MD.0000000000014904.

Abstract

To investigate whether socioeconomic status is associated with the self-rated health (SRH) status among Chinese.A cross sectional study including a national sample was conducted among Chinese adults in 2008. In total, 3225 participants were selected by a multistage cluster sampling method. Both general self-rated health and time-comparative self-rated health were measured by a standardized questionnaire. Logistic regression models were used to estimate the odds ratios (ORs) (95% confidence intervals, CIs) of occupation with SRH by occupation, and adjusted for age, sex, education, area, marriage, smoking, drinking, and health status.Overall, 34.4% of study participants reported "good" on the general SRH (male: 35.8%; female: 32.9%) and 26.2% reported "good" on the time-comparative SRH (male: 27.2%; female: 25.3%). The prevalence of "good" general SRH varied from 28.8% to 52.8% and the prevalence of time-comparative SHR varied from 21.7% to 33.9% in different occupations. The adjusted OR (Odd Ratio) for "good" on the general SRH was 1.35 (95% CI: 1.20-1.52) for the occupation of civil servants, 2.23 (95% CI: 1.96-2.54) for farmers, and 1.15 (95%CI: 1.01-1.31) for businessmen. The full adjusted OR of "good" on the time-comparative SRH was 1.36 (95% CI: 1.17-1.58) for students and was 1.25 (95% CI: 1.10-1.42) for civil servants.In presented study, 34.4% of the participants reported "good" on the general SRH, and 26.2% participants reported "good" on the time-comparative SRH. The prevalence of "good" general SRH and "good" time-comparative SRH varied among occupations.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Age Factors
  • Alcohol Drinking / epidemiology
  • China / epidemiology
  • Cross-Sectional Studies
  • Educational Status*
  • Female
  • Health Status*
  • Humans
  • Income / statistics & numerical data*
  • Logistic Models
  • Male
  • Middle Aged
  • Occupations / statistics & numerical data*
  • Self Report
  • Sex Factors
  • Smoking / epidemiology
  • Socioeconomic Factors