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Life Course Predictors of Allostatic Load Among LGBTQ Older Adults

LGBTQ older adults are at significantly increased risk for poor mental and physical health, likely consequential to lifelong bias. Allostatic load (AL), the net effect of “wear and tear” on the body resulting from repeated, chronic over-activation of the psychophysiological stress response system. U...

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Detalles Bibliográficos
Autores principales: Hoy-Ellis, Charles, Kim, Hyun, Goldsen, Karen Fredriksen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742978/
http://dx.doi.org/10.1093/geroni/igaa057.2615
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author Hoy-Ellis, Charles
Kim, Hyun
Goldsen, Karen Fredriksen
author_facet Hoy-Ellis, Charles
Kim, Hyun
Goldsen, Karen Fredriksen
author_sort Hoy-Ellis, Charles
collection PubMed
description LGBTQ older adults are at significantly increased risk for poor mental and physical health, likely consequential to lifelong bias. Allostatic load (AL), the net effect of “wear and tear” on the body resulting from repeated, chronic over-activation of the psychophysiological stress response system. Utilizing the Health Equity Promotion Model, the aim of this study was to test potential life course predictors of AL, including interpersonal violence, legal marriage, and identity management in a sample of LGBTQ adults 50 to 97 years of age (n=317). Results from a series of hierarchical linear regression models showed that adult physical abuse and late identity disclosure for those who had been in an opposite-sex marriage predicted higher AL in this sample of LGBTQ older adults, indicating need for increased research on bias over the life course as contributory to AL and biopsychosocial dysfunction among LGBTQ older adults.
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spelling pubmed-77429782020-12-21 Life Course Predictors of Allostatic Load Among LGBTQ Older Adults Hoy-Ellis, Charles Kim, Hyun Goldsen, Karen Fredriksen Innov Aging Abstracts LGBTQ older adults are at significantly increased risk for poor mental and physical health, likely consequential to lifelong bias. Allostatic load (AL), the net effect of “wear and tear” on the body resulting from repeated, chronic over-activation of the psychophysiological stress response system. Utilizing the Health Equity Promotion Model, the aim of this study was to test potential life course predictors of AL, including interpersonal violence, legal marriage, and identity management in a sample of LGBTQ adults 50 to 97 years of age (n=317). Results from a series of hierarchical linear regression models showed that adult physical abuse and late identity disclosure for those who had been in an opposite-sex marriage predicted higher AL in this sample of LGBTQ older adults, indicating need for increased research on bias over the life course as contributory to AL and biopsychosocial dysfunction among LGBTQ older adults. Oxford University Press 2020-12-16 /pmc/articles/PMC7742978/ http://dx.doi.org/10.1093/geroni/igaa057.2615 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Hoy-Ellis, Charles
Kim, Hyun
Goldsen, Karen Fredriksen
Life Course Predictors of Allostatic Load Among LGBTQ Older Adults
title Life Course Predictors of Allostatic Load Among LGBTQ Older Adults
title_full Life Course Predictors of Allostatic Load Among LGBTQ Older Adults
title_fullStr Life Course Predictors of Allostatic Load Among LGBTQ Older Adults
title_full_unstemmed Life Course Predictors of Allostatic Load Among LGBTQ Older Adults
title_short Life Course Predictors of Allostatic Load Among LGBTQ Older Adults
title_sort life course predictors of allostatic load among lgbtq older adults
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742978/
http://dx.doi.org/10.1093/geroni/igaa057.2615
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