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Tytuł pozycji:

Neighborhood archetypes and breast cancer survival in California.

Tytuł:
Neighborhood archetypes and breast cancer survival in California.
Autorzy:
Shariff-Marco S; Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, CA; UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA; Greater Bay Area Cancer Registry, San Francisco, CA. Electronic address: .
DeRouen MC; Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, CA; UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA.
Yang J; Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, CA; Greater Bay Area Cancer Registry, San Francisco, CA.
Jain J; Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, CA; Greater Bay Area Cancer Registry, San Francisco, CA.
Nelson DO; Cancer Prevention Institute of California, Fremont, CA.
Weden MM; RAND Corporation, Santa Monica, CA.
Gomez SL; Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, CA; UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA; Greater Bay Area Cancer Registry, San Francisco, CA.
Źródło:
Annals of epidemiology [Ann Epidemiol] 2021 May; Vol. 57, pp. 22-29. Date of Electronic Publication: 2021 Feb 10.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.
Język:
English
Imprint Name(s):
Original Publication: New York, NY : Elsevier, c1990-
MeSH Terms:
Breast Neoplasms*
California/epidemiology ; Ethnicity ; Humans ; Residence Characteristics ; Social Class ; Socioeconomic Factors
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Grant Information:
HHSN261201800032C United States CA NCI NIH HHS; HHSN261201800009C United States CA NCI NIH HHS; NU58DP006344 United States DP NCCDPHP CDC HHS; HHSN261201800015I United States CA NCI NIH HHS; HHSN261201800032I United States CA NCI NIH HHS; HHSN261201800015C United States CA NCI NIH HHS; R21 CA174469 United States CA NCI NIH HHS; HHSN261201800009I United States CA NCI NIH HHS
Contributed Indexing:
Keywords: Breast cancer; Cancer survival; Geographic disparities; Latent class analysis; Neighborhood archetypes; Neighborhood socioeconomic status; Racial/ethnic disparities
Entry Date(s):
Date Created: 20210212 Date Completed: 20210510 Latest Revision: 20220503
Update Code:
20240104
PubMed Central ID:
PMC8133764
DOI:
10.1016/j.annepidem.2021.01.004
PMID:
33577928
Czasopismo naukowe
Purpose: Previous studies on neighborhoods and breast cancer survival examined neighborhood variables as unidimensional measures (e.g. walkability or deprivation) individually and thus cannot inform how the multitude of highly correlated neighborhood domains interact to impact breast cancer survival. Neighborhood archetypes were developed that consider interactions among a broad range of neighborhood social and built environment attributes and examine their associations with breast cancer survival.
Methods: Archetypes were measured using latent class analysis (LCA) fit to California census tract-level data. Thirty-nine social and built environment attributes relevant to eight neighborhood domains (socioeconomic status (SES), urbanicity, demographics, housing, land use, commuting and traffic, residential mobility, and food environment) were included.  The archetypes were linked to cancer registry data on breast cancer cases (diagnosed 1996-2005 with follow-up through Dec 31, 2017) to evaluate their associations with overall and breast cancer-specific survival using Cox proportional hazards models. Analyses were stratified by race/ethnicity.
Results: California neighborhoods were best described by nine archetypal patterns that were differentially associated with overall and breast cancer-specific survival. The lowest risk of overall death was observed in the upper middle class suburb (reference) and high status neighborhoods, while the highest was observed among inner city residents with a 39% greater risk of death (95% CI = 1.35 to 1.44). Results were similar for breast cancer-specific survival. Stratified analyses indicated that differences in survival by neighborhood archetypes varied according to individuals' race/ethnicity.
Conclusions: By describing neighborhood archetypes that differentiate survival following breast cancer diagnosis, the study provides direction for policy and clinical practice addressing contextually-rooted social determinants of health including SES, unhealthy food environments, and greenspace.
(Copyright © 2021. Published by Elsevier Inc.)

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