Evidence map›Paper›PMID 40820996›Full record

ArticleBMJ public health2025

State-level immigrant policies and diabetes prevalence in Latino and Asian American groups: a weighted multilevel analysis.

Md Towfiqul Alam, Jennifer Toller Erausquin, Erica Payton, Elizabeth Vásquez, Sandra E Echeverria

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Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Md Towfiqul AlamDepartment of Health Sciences, James Madison University, Harrisonburg, Virginia, USA.ORCID https://orcid.org/0009-0004-1786-0610
Jennifer Toller ErausquinDepartment of Public Health Education, The University of North Carolina at Greensboro, Greensboro, North Carolina, USA.ORCID https://orcid.org/0000-0003-4271-6077
Erica PaytonDepartment of Public Health Education, The University of North Carolina at Greensboro, Greensboro, North Carolina, USA.
Elizabeth VásquezDepartment of Epidemiology & Biostatistics, University at Albany, Albany, New York, USA.
Sandra E EcheverriaDepartment of Public Health Education, The University of North Carolina at Greensboro, Greensboro, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Growing literature has shown that immigrant-related policies influence population health by limiting or enhancing immigrants' rights. However, less is known about the role of state-level immigrant policies shaping chronic health conditions such as type 2 diabetes (T2DM). This cross-sectional study examined the association between state-level immigrant policies (both criminalising and inclusive) and prevalence of T2DM among individuals of Latin American and Asian American origin. Method: We included adults aged 18+years sampled in the 2014-2018 behavioral risk factor surveillance system (BRFSS) (n=201 824), a survey design that allows the calculation of state-level estimates. Using existing policy measures, states were classified as low, moderate, or high on two dimensions: (1) criminalising and (2) inclusive policies. Weighted multilevel logistic regression models examined associations between state-level policy measures and self-reported T2DM after accounting for the complex survey design of BRFSS. Results: Compared with Asians, Latinos were more likely to live in high criminalising policy states (35.2% vs 14.1%, Conclusion: Latinos had a higher burden of diabetes when living in states with low inclusive immigrant policies. Public health efforts should advocate for policies that create contexts that support the health of immigrants and their myriad contributions to the socioeconomic, and cultural fabric of the USA.

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Cross-Sectional StudiesmethodsPrevalencePreventive MedicinePublic Health

Identifiers

PMID40820996
PMCPMC12352184

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