Disparities in cancer incidence and mortality by area-level socioeconomic status: a multilevel analysis.

Publication Type:

Journal Article

Source:

Journal of epidemiology and community health, Volume 69, Issue 2, p.168-76 (2015)

Keywords:

Aged, Epidemiology Core Facility, Female, Geographic Mapping, Health Status Disparities, Humans, Incidence, Male, Middle Aged, Multilevel Analysis, Neoplasms, Proportional Hazards Models, Prospective Studies, Residence Characteristics, SEER Program, Social Class, Washington

Abstract:

BACKGROUND: Disparities in cancer incidence and mortality have been observed by measures of area-level socioeconomic status (SES); however, the extent to which these disparities are explained by individual SES is unclear. METHODS: Participants included 60 756 men and women in the VITamins And Lifestyle (VITAL) study cohort, aged 50-76 years at baseline (2000-2002) and followed through 2010. We constructed a block group SES index using the 2000 US Census and fit Cox proportional hazards models to estimate the association between area-level SES (by quintile) and total and site-specific cancer incidence and total cancer mortality, with and without household income and individual education in the models. RESULTS: Lower area-level SES was weakly associated with higher total cancer incidence and lower prostate cancer risk, but was not associated with risk of breast cancer. Compared with the highest-SES areas, living in the lowest-SES areas was associated with higher lung (HR: 2.21, 95% CI 1.69 to 2.90) and colorectal cancer incidence (HR: 1.52, 95% CI 1.11 to 2.09) and total cancer mortality (HR: 1.68, 95% CI 1.47 to 1.93). Controlling for individual education and household income weakened the observed associations, but did not eliminate them (lung cancer HR: 1.43, 95% CI 1.07 to 1.91; colorectal cancer HR: 1.35, 95% CI 0.97 to 1.88; cancer mortality HR: 1.28, 95% CI 1.11 to 1.48). CONCLUSIONS: Area-level socioeconomic disparities exist for several cancer outcomes. These differences are not fully explained by individual SES, suggesting area-level factors may play a role.