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The neighborhood context and all-cause mortality among older adults in Puerto Rico

Bibliographic Data

ID22089005
AuthorsCatherine García (0000-0002-9351-1955, Syracuse University, corresponding author), Marc A Garcia (0000-0002-9442-4124, Syracuse University), Mary Mceniry (0000-0003-2636-0250, University of Wisconsin–Madison), Michael Crowe (0000-0001-7736-4441, University of Alabama at Birmingham)
Year2023
Volume11
Pages995529-995529
Publication date2023-03-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.995529
PMID36969624
OpenAlexW4323668132
LanguageEN
References cited86

Background: Recent efforts have been made to collect data on neighborhood-level attributes and link them to longitudinal population-based surveys. These linked data have allowed researchers to assess the influence of neighborhood characteristics on the health of older adults in the US. However, these data exclude Puerto Rico. Because of significantly differing historical and political contexts, and widely ranging structural factors between the island and the mainland, it may not be appropriate to apply current knowledge on neighborhood health effects based on studies conducted in the US to Puerto Rico. Thus, we aim to (1) examine the types of neighborhood environments older Puerto Rican adults reside in and (2) explore the association between neighborhood environments and all-cause mortality. Methods: We linked data from the 2000 US Census to the longitudinal Puerto Rican Elderly Health Conditions Project (PREHCO) with mortality follow-up through 2021 to examine the effects of the baseline neighborhood environment on all-cause mortality among 3,469 participants. Latent profile analysis, a model-based clustering technique, classified Puerto Rican neighborhoods based on 19 census block group indicators related to the neighborhood constructs of socioeconomic status, household composition, minority status, and housing and transportation. The associations between the latent classes and all-cause mortality were assessed using multilevel mixed-effects parametric survival models with a Weibull distribution. Results: cluster, controlling for individual-level covariates. Conclusions: Considering Puerto Rico's socio-structural reality, we recommend that policymakers, healthcare providers, and leaders across industries to (1) understand how individual health and mortality is embedded within larger social, cultural, structural, and historical contexts, and (2) make concerted efforts to reach out to residents living in disadvantaged community contexts to understand better what they need to successfully age in place in Puerto Rico

American Community Survey · Census · Geography · Population · Socioeconomic status · Sociology · Demography · Geriatric Care and Nursing Homes · Health disparities and outcomes · Medicine · Urban Transport and Accessibility · Gerontology

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