Obesity

Pathways between race, structural racism, and obesity across census tracts in the United States

Diabetes Obes MetabPublished Cross-sectional study

Authors' conclusion

AA and NHW had a positive direct relationship with obesity, whereas Asians had a negative relationship. For AAs, there was a strong positive indirect relationship via structural racism. For NHWs and Asians, there was a negative indirect relationship via structural racism. Based on these results, structural racism and its impact on obesity are more pronounced for AA compared to other racial/ethnic groups.

Study context

Population
Census tracts across 201 counties within 38 US states; obesity prevalence from CDC PLACES data, structural racism by structural racism effect index (SREI), race/ethnicity proportions from Census data
Participants
11,457 census tracts
Outcome
Direct and indirect pathways between race/ethnicity, structural racism and obesity prevalence
Methodological detailscensus tract–level, structural equation modelling
  • Census tract–level
  • Structural equation modelling

Main finding

As reported in the abstract

Obesity prevalence: direct and indirect associations (structural equation modelling)
Mean prevalence of obesity
31.8%
Structural racism, direct association with higher obesity
0.70, p < 0.001
AA race, direct association with higher obesity
0.67, p < 0.001
AA race, indirect association with obesity via structural racism
0.23, p < 0.001
Non-Hispanic white (NHW), direct association with higher obesity
0.47, p < 0.001
NHW, association with lower structural racism
−0.43, p < 0.001
Hispanic race, direct association with higher obesity
0.32, p < 0.001
Asian race, direct association with lower obesity
−0.06, p < 0.001
Asian race, association with lower structural racism
−0.29, p < 0.001

Observational data: associations, not effects.

Original publication

Pathways between race, structural racism, and obesity across census tracts in the United States. Diabetes Obes Metab. Published 18 February 2026. doi:10.1111/dom.70573

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