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Background: As the number of African migrants in China has increased in recent years, many sociocultural and policy factors hindered their utilization of health services. However, few studies examined the current status of the health care utilization and influence factors among African migrants in China. Methodology: A large national cross-sectional study was conducted among African migrants in China in 2019. Participants were recruited both online and offline to participate in a self-report survey. Information on health service utilization and factors based on Andersen’s behavioral model were collected. Multivariable logistic regression was conducted to identify correlates of health service utilization. Results: A total of 1006 eligible participants from 74 cities of 27 provinces in China completed the survey and 28.5% of the sample reported utilizing health services in the past 12 months. Logistic regression analysis showed that longer duration in China, migration to China for business and study, living in apartment and dormitory in China, suffering from chronic diseases, communicable diseases, and greater depressive symptoms facilitated health service utilization. Conclusion: The health utilization among African migrants in China is low. The existing public health policy and intervention measures are needed to be improved to make health utilization more accessible and feasible for African migrants.

Background: Migrants from Sub-Saharan Africa to China faced challenges in accessing healthcare. Less is known about their depression prevalence. We aim to address this gap by providing an initial estimation on the depression prevalence and its correlates. Methods: A cross-sectional survey was conducted from August to October in 2019. Eligibility was defined as being originally from a Sub-Saharan African country and cumulative residence in China for at least one month. A convenience sample was drawn from snowball sampling online and venue-based sampling by community outreach. The primary outcome depression was measured by the Centre for Epidemiologic Studies Depression Scale using 16 as the cutoff. Multivariable logistic regressions were employed to examine the association between depression and its migration-related correlates. Data were analyzed using SAS 9.4. Results: The depression prevalence was high at 44% among 928 participants. Depression was positively associated with unsatisfactory housing conditions (aOR: 1.7, 95%CI: 0.8 to 3.3) and perception of very unfriendly attitudes from the local people (aOR: 4.5, 95%CI: 1.2 to 16.1) after adjusting for covariates. Conclusions: Depression is prevalent among Sub-Saharan Africa migrants in China and warrants attention and intervention. Support should be provided during the post-migration period in China to mitigate depression risks for Sub-Saharan Africa migrants. Future studies are needed to build more evidence on Sub-Saharan Africa migrants’ mental health and to inform global health policies and programming.