Yang Xiao, Zhang Yixuan, Zou Siyu, Chen Yihang, Cai Ziqing, Zhu Ying, Tang Kun
Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Vanke School of Public Health, Tsinghua University, Beijing 100084, China.
Healthcare (Basel). 2025 Jan 2;13(1):69. doi: 10.3390/healthcare13010069.
: 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. : 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. : 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. : 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.
中国拥有世界上最大规模的国内流动人口，但这一群体中的慢性病患病率在很大程度上仍被忽视。国内流动人口融入当地社会可能会影响他们的非传染性疾病患病率，并成为公共卫生系统面临的一项挑战。本研究旨在探讨中国国内流动人口的社会融合与包括高血压和糖尿病在内的慢性病患病率之间的关联。
本研究使用了2017年中国流动人口动态监测调查的数据。社会融合状况采用8项李克特量表进行评估，并分为四个四分位数，分数越高表明社会融合水平越高。进行多因素逻辑回归分析以检验社会融合水平与高血压、糖尿病及合并慢性病患病率之间的关联。进行分层分析以探讨年龄、性别、收入和流动持续时间可能产生的效应修正作用。
中等水平的社会融合与较低的慢性病患病率相关，而最低和最高水平的社会融合均与患病率升高相关。进一步的分层分析表明，社会融合与慢性病患病率之间的关系受到多种因素的修正，包括年龄、性别、收入和流动持续时间。
本研究表明，最低和最高水平的社会融合都会显著影响中国国内流动人口的慢性病患病情况。这些发现强调了制定针对性公共卫生政策以有效预防和管理中国国内流动人口慢性病的必要性。
