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Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study

PURPOSE: Much variation in individual-level cognitive function in late life remains unexplained, with little exploration of area-level/contextual factors to date. Income inequality is a contextual factor that may plausibly influence cognitive function. METHODS: In a nationally-representative cohort...

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Autores principales: Kim, Daniel, Griffin, Beth Ann, Kabeto, Mohammed, Escarce, José, Langa, Kenneth M., Shih, Regina A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917220/
https://www.ncbi.nlm.nih.gov/pubmed/27332986
http://dx.doi.org/10.1371/journal.pone.0157327
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author Kim, Daniel
Griffin, Beth Ann
Kabeto, Mohammed
Escarce, José
Langa, Kenneth M.
Shih, Regina A.
author_facet Kim, Daniel
Griffin, Beth Ann
Kabeto, Mohammed
Escarce, José
Langa, Kenneth M.
Shih, Regina A.
author_sort Kim, Daniel
collection PubMed
description PURPOSE: Much variation in individual-level cognitive function in late life remains unexplained, with little exploration of area-level/contextual factors to date. Income inequality is a contextual factor that may plausibly influence cognitive function. METHODS: In a nationally-representative cohort of older Americans from the Health and Retirement Study, we examined state- and metropolitan statistical area (MSA)-level income inequality as predictors of individual-level cognitive function measured by the 27-point Telephone Interview for Cognitive Status (TICS-m) scale. We modeled latency periods of 8–20 years, and controlled for state-/metropolitan statistical area (MSA)-level and individual-level factors. RESULTS: Higher MSA-level income inequality predicted lower cognitive function 16–18 years later. Using a 16-year lag, living in a MSA in the highest income inequality quartile predicted a 0.9-point lower TICS-m score (β = -0.86; 95% CI = -1.41, -0.31), roughly equivalent to the magnitude associated with five years of aging. We observed no associations for state-level income inequality. The findings were robust to sensitivity analyses using propensity score methods. CONCLUSIONS: Among older Americans, MSA-level income inequality appears to influence cognitive function nearly two decades later. Policies reducing income inequality levels within cities may help address the growing burden of declining cognitive function among older populations within the United States.
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spelling pubmed-49172202016-07-08 Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study Kim, Daniel Griffin, Beth Ann Kabeto, Mohammed Escarce, José Langa, Kenneth M. Shih, Regina A. PLoS One Research Article PURPOSE: Much variation in individual-level cognitive function in late life remains unexplained, with little exploration of area-level/contextual factors to date. Income inequality is a contextual factor that may plausibly influence cognitive function. METHODS: In a nationally-representative cohort of older Americans from the Health and Retirement Study, we examined state- and metropolitan statistical area (MSA)-level income inequality as predictors of individual-level cognitive function measured by the 27-point Telephone Interview for Cognitive Status (TICS-m) scale. We modeled latency periods of 8–20 years, and controlled for state-/metropolitan statistical area (MSA)-level and individual-level factors. RESULTS: Higher MSA-level income inequality predicted lower cognitive function 16–18 years later. Using a 16-year lag, living in a MSA in the highest income inequality quartile predicted a 0.9-point lower TICS-m score (β = -0.86; 95% CI = -1.41, -0.31), roughly equivalent to the magnitude associated with five years of aging. We observed no associations for state-level income inequality. The findings were robust to sensitivity analyses using propensity score methods. CONCLUSIONS: Among older Americans, MSA-level income inequality appears to influence cognitive function nearly two decades later. Policies reducing income inequality levels within cities may help address the growing burden of declining cognitive function among older populations within the United States. Public Library of Science 2016-06-22 /pmc/articles/PMC4917220/ /pubmed/27332986 http://dx.doi.org/10.1371/journal.pone.0157327 Text en © 2016 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kim, Daniel
Griffin, Beth Ann
Kabeto, Mohammed
Escarce, José
Langa, Kenneth M.
Shih, Regina A.
Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study
title Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study
title_full Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study
title_fullStr Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study
title_full_unstemmed Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study
title_short Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study
title_sort lagged associations of metropolitan statistical area- and state-level income inequality with cognitive function: the health and retirement study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917220/
https://www.ncbi.nlm.nih.gov/pubmed/27332986
http://dx.doi.org/10.1371/journal.pone.0157327
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