Breast Cancer in San Francisco: Disentangling Disparities at the Neighborhood Level.

ABSTRACT:

Background

This study uses a novel geographic approach to summarize the distribution of breast cancer in San Francisco and aims to identify the neighborhoods and racial/ethnic groups that are disproportionately affected by this disease.

Methods

Nine geographic groupings were newly defined on the basis of racial/ethnic composition and neighborhood socioeconomic status. Distribution of breast cancer cases from the Greater Bay Area Cancer Registry in these zones were examined. Multivariable logistic regression models were used to determine neighborhood associations with stage IIB⁺ breast cancer at diagnosis. Cox proportional hazards regression was used to estimate the hazard ratios for all-cause and breast cancer-specific mortality.

Results

A total of 5,595 in

SUBMITTER: Guan A 

PROVIDER: S-EPMC6891202 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature