The Role of Social Integration in Chronic Disease Prevalences Among the Internal Migrant Populations in China: Evidence from a National Survey

Background: China has the world's largest internal migrant population, yet chronic disease prevalence among this group remains largely overlooked. The integration of the internal migrant population into the local society may affect their noncommunicable disease prevalences and become a challenge for the public health system. This study aimed to explore the association between the social integration of China's internal migrant population and the prevalences of chronic diseases, including hypertension and diabetes. Methods: This study used data from the 2017 China Migration Dynamic Survey. Social integration status was assessed using an 8-item Likert scale and categorized into four quartiles, with higher points indicating higher levels of social integration. Multivariate logistic regression was conducted to examine the association between social integration level and the prevalences of hypertension, diabetes and combined chronic diseases. Disaggregated analysis was performed to explore the potential effect modification by age, sex, income, and migration duration. Results: A medium level of social integration was associated with lower prevalences of chronic diseases, while the lowest and highest levels of social integration were both associated with enhanced prevalence. Further disaggregation demonstrated the relationship between social integration and chronic disease prevalences were modified by various factors, including age, sex, income, and migration duration. Conclusions: This study demonstrated that both the lowest and highest levels of social integration can significantly affect chronic disease outcomes of China's internal migrants. These findings emphasize the necessity to formulate tailored public health policies to effectively prevent and manage chronic diseases among the internal migrant population in China.