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Latent class model characterization of neighborhood socioeconomic status
Journal article   Open access   Peer reviewed

Latent class model characterization of neighborhood socioeconomic status

Aimee Palumbo, Yvonne Michael and Terry Hyslop
Cancer causes & control, v 27(3), pp 445-452
Mar 2016
DOI: https://doi.org/10.1007/s10552-015-0711-4
PMID: 26797452
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://europepmc.org/articles/pmc4763341View
Accepted (AM) Open Open Access (License Unspecified)

Abstract

Adult Aged Aged, 80 and over Breast Neoplasms - epidemiology Continental Population Groups Female Humans Middle Aged Prognosis Residence Characteristics Social Class Young Adult
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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18 citations in Web of Science
17 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#5 Gender Equality
#3 Good Health and Well-Being

Source: SDGs in the Output

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Collaboration types
Domestic collaboration
Web of Science research areas
Oncology
Public, Environmental & Occupational Health
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