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PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY

When considering the various extrinsic variables that may affect disease vulnerability, it is valuable to study temporal ordering of factors to identify areas for disease intervention efforts. This study sought to inform improvement of networks for the purposes of education and health by attempting...

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Autores principales: Hubner, Sarah B, Kim, Hyeon Jung, Boron, Julie Blaskewicz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845840/
http://dx.doi.org/10.1093/geroni/igz038.2589
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author Hubner, Sarah B
Kim, Hyeon Jung
Boron, Julie Blaskewicz
author_facet Hubner, Sarah B
Kim, Hyeon Jung
Boron, Julie Blaskewicz
author_sort Hubner, Sarah B
collection PubMed
description When considering the various extrinsic variables that may affect disease vulnerability, it is valuable to study temporal ordering of factors to identify areas for disease intervention efforts. This study sought to inform improvement of networks for the purposes of education and health by attempting to better define the causal ordering of ethnicity, age, gender, education, disease burden, and dementia diagnosis with the Aging, Demographics, and Memory Study, a sub-study of the Health and Retirement Study. Participants and/or proxies self-reported total number of chronic conditions, subsequently regarded as disease burden. Assessments occurred over four waves; participants were not reassessed after dementia diagnosis. The current study categorized participants as demented (n=414), identified in any wave, or normal (n=117), identified in the final wave. Cognitively-impaired-not-demented and deceased participants were not considered due to lack of diagnosis. Cross-sectional weighting was used. A path model was developed; ethnicity, age, and gender were antecedent to education, and education was casually ordered before disease burden, which was antecedent to dementia diagnosis. A series of logistic and linear regression analyses were conducted. Results revealed that being non-white (Σβ=0.643, all p’s<.001), of older age (Σβ=0.250, all p’s<.001), female (Σβ=0.180, all p’s<.001), and having increased disease burden (Σβ=0.118, p<.001) all demonstrated a positive total effect on dementia diagnosis. Conversely, more years of education (Σβ=-0.245, p<.001) had a negative total effect on diagnosis. The education to disease burden pathway was non-significant. Ultimately, these results may indicate a need for dementia interventions that target those with low education or high disease burden.
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spelling pubmed-68458402019-11-21 PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY Hubner, Sarah B Kim, Hyeon Jung Boron, Julie Blaskewicz Innov Aging Session 3350 (Poster) When considering the various extrinsic variables that may affect disease vulnerability, it is valuable to study temporal ordering of factors to identify areas for disease intervention efforts. This study sought to inform improvement of networks for the purposes of education and health by attempting to better define the causal ordering of ethnicity, age, gender, education, disease burden, and dementia diagnosis with the Aging, Demographics, and Memory Study, a sub-study of the Health and Retirement Study. Participants and/or proxies self-reported total number of chronic conditions, subsequently regarded as disease burden. Assessments occurred over four waves; participants were not reassessed after dementia diagnosis. The current study categorized participants as demented (n=414), identified in any wave, or normal (n=117), identified in the final wave. Cognitively-impaired-not-demented and deceased participants were not considered due to lack of diagnosis. Cross-sectional weighting was used. A path model was developed; ethnicity, age, and gender were antecedent to education, and education was casually ordered before disease burden, which was antecedent to dementia diagnosis. A series of logistic and linear regression analyses were conducted. Results revealed that being non-white (Σβ=0.643, all p’s<.001), of older age (Σβ=0.250, all p’s<.001), female (Σβ=0.180, all p’s<.001), and having increased disease burden (Σβ=0.118, p<.001) all demonstrated a positive total effect on dementia diagnosis. Conversely, more years of education (Σβ=-0.245, p<.001) had a negative total effect on diagnosis. The education to disease burden pathway was non-significant. Ultimately, these results may indicate a need for dementia interventions that target those with low education or high disease burden. Oxford University Press 2019-11-08 /pmc/articles/PMC6845840/ http://dx.doi.org/10.1093/geroni/igz038.2589 Text en © The Author(s) 2019. 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 Session 3350 (Poster)
Hubner, Sarah B
Kim, Hyeon Jung
Boron, Julie Blaskewicz
PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY
title PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY
title_full PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY
title_fullStr PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY
title_full_unstemmed PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY
title_short PATH ANALYSIS OF EDUCATION AND DISEASE BURDEN IN DEMENTIA VULNERABILITY
title_sort path analysis of education and disease burden in dementia vulnerability
topic Session 3350 (Poster)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845840/
http://dx.doi.org/10.1093/geroni/igz038.2589
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