breast-cancer

High-mortality cancer counties within racial groups have distinct socioeconomic profiles — not just worse averages of the same problems

Racial disparities in breast and prostate cancer mortality are well documented at the population level, but this hides important variation within racial and ethnic groups. A county in which Black women have high breast cancer mortality may look very different from another high-mortality county for Hispanic women — different barriers, different needs.

This study analyzed all 3,141 U.S. counties, stratifying by race/ethnicity and grouping counties by cancer mortality tertile. For each group, researchers profiled seven domains of socio-behavioral risk: community solidarity, education/health literacy, quality of care, housing/environment, economic livelihoods, lifestyle behaviors, and touchpoints with care.

Higher socio-behavioral risk consistently tracked with higher cancer mortality across groups. But the specific domains driving risk varied by race, ethnicity, and cancer type. High-mortality Hispanic counties showed pronounced problems with lifestyle behaviors, economic livelihoods, and care access — even though Hispanic populations have lower average mortality overall.

Key Findings

Higher socio-behavioral risk correlates with higher breast and prostate cancer mortality within each racial/ethnic group
Domain-specific patterns driving high mortality differ by race, ethnicity, and cancer type
High-mortality Hispanic counties show disproportionate risk in lifestyle behaviors, economic livelihoods, and touchpoints with care
Socio-behavioral risk increases monotonically across mortality tertiles for breast cancer in all groups
Touchpoints with care and economic livelihoods are consistently prominent across all groups

Implications

This framework moves beyond group-average comparisons to identify specific high-need communities and the particular barriers they face. Cancer control programs targeting broad demographic groups as monoliths may miss the counties with the greatest need and misallocate resources. Domain-level profiling could enable far more targeted and effective cancer equity interventions.

Caveats

Preprint — not peer reviewed. Cross-sectional design — cannot establish causality. County-level analysis may mask within-county variation. Composite socio-behavioral index construction involves methodological choices that affect results. Cancer mortality data is from 2018–2022 and may not reflect current conditions.

Source: medRxiv — 2026-04-07

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