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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Latent class model characterization of neighborhood socioeconomic status
Cancer causes & control, v 27(3), pp 445-452
Mar 2016
PMID: 26797452
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Neighborhood-level socioeconomic status (NSES) can influence breast cancer mortality and poorer health outcomes are observed in deprived neighborhoods. Commonly used NSES indexes are difficult to interpret. Latent class models allow for alternative characterization of NSES for use in studies of cancer causes and control.
Breast cancer data was from a cohort of women diagnosed at an academic medical center in Philadelphia, PA. NSES variables were defined using Census data. Latent class modeling was used to characterize NSES.
Complete data was available for 1,664 breast cancer patients diagnosed between 1994 and 2002. Two separate latent variables, each with 2-classes (LC2) best represented NSES. LC2 demonstrated strong associations with race and tumor stage and size.
Latent variable models identified specific characteristics associated with advantaged or disadvantaged neighborhoods, potentially improving our understanding of the impact of socioeconomic influence on breast cancer prognosis. Improved classification will enhance our ability to identify vulnerable populations and prioritize the targeting of cancer control efforts.
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Details
- Title
- Latent class model characterization of neighborhood socioeconomic status
- Creators
- Aimee Palumbo - Drexel UniversityYvonne Michael - Drexel UniversityTerry Hyslop - Duke University
- Publication Details
- Cancer causes & control, v 27(3), pp 445-452
- Publisher
- Springer Nature
- Grant note
- P01 CA142538 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000370953900015
- Scopus ID
- 2-s2.0-84958764121
- Other Identifier
- 991019167689204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology
- Public, Environmental & Occupational Health