Objective: To identify the social determinants of chronic disease in China.
Methods: Cross sectional data of working population aged from 18 to 60 years were drawn from the database of Chinese Family Panel Studies (CFPS) 2010. Logistic regression model was used for analyzing the difference of chronic conditions prevalence among the self-evaluated social status, income, education, working organizations and properties and management positions, respectively.
Results: The highest and higher groups of subjective social status, the least and higher groups of education, low-income group had a higher probability of suffering from chronic diseases. In terms of the nature of jobs, the farmers and the self-employed had a higher risk of suffering from chronic diseases than those employed by other formal sectors. The people engaged in the management were also with a higher risk.
Conclusion: Income, education, nature and content of jobs are the social determinants of chronic diseases in China. All these determinants need to be considered during the policy-making aimed to improve health equity.