This article sought to explore the impacts of socioeconomic status and social inclusion on intra-provincial and interprovincial migrants’ mental health by constructing the Bayesian structural equation model. A total of 14,584 migrants aged 15–59 years living in eight cities of China were selected. It was found that the impacts of socioeconomic status and social inclusion on mental health were converse for these two groups. And the manifest variables coefficients of socioeconomic status and social inclusion were also converse. Therefore, governments should make some policies to further improve the mental health of migrants, including strengthening the community cohesion, social atmosphere, and governmental support. © 2017, The Author(s) 2017.

interprovincial migrants intra-provincial migrants Bayesian structural equation model Social inclusion Mental health

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