Latent class model characterization of neighborhood socioeconomic status

Cancer Causes & Control : CCC
Aimee PalumboTerry Hyslop

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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Citations

Jan 18, 2020·Cancer Causes & Control : CCC·Marc A EmersonMelissa A Troester
Aug 29, 2020·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Alexandra LarsenTerry Hyslop
Oct 2, 2020·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·David E FrankhauserVictoria L Seewaldt
Feb 13, 2021·Annals of Epidemiology·Salma Shariff-MarcoScarlett L Gomez
Aug 3, 2019·Health & Place·Peter LekkasCatherine Paquet

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