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Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study
Aim of the paper is to quantify effects of socioeconomic factors on Alzheimer's Disease Mortality in the Slovak Republic. We applied potential gains in life expectancy (PGLE) method to measure the impact of elimination of Alzheimer's disease on life expectance in Slovak regions. PGLE is ba...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311262/ https://www.ncbi.nlm.nih.gov/pubmed/30643641 http://dx.doi.org/10.1155/2018/8137464 |
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author | Tóth, Peter Gavurová, Beáta Barták, Miroslav |
author_facet | Tóth, Peter Gavurová, Beáta Barták, Miroslav |
author_sort | Tóth, Peter |
collection | PubMed |
description | Aim of the paper is to quantify effects of socioeconomic factors on Alzheimer's Disease Mortality in the Slovak Republic. We applied potential gains in life expectancy (PGLE) method to measure the impact of elimination of Alzheimer's disease on life expectance in Slovak regions. PGLE is based on life table adjustment according to elimination of mortality caused by specific diagnosis. Our dataset consists of all deceased from Slovak Republic from 2001 to 2015. We analyse the impact of unemployment rate, GDP per capita, average wage, and education on life expectance in Slovak regions. To estimate that impact, ordinary least squares (OLS) is applied. According to our model, gross domestic product, average wage, and education influence mortality caused by Alzheimer's disease. |
format | Online Article Text |
id | pubmed-6311262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63112622019-01-14 Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study Tóth, Peter Gavurová, Beáta Barták, Miroslav Int J Alzheimers Dis Research Article Aim of the paper is to quantify effects of socioeconomic factors on Alzheimer's Disease Mortality in the Slovak Republic. We applied potential gains in life expectancy (PGLE) method to measure the impact of elimination of Alzheimer's disease on life expectance in Slovak regions. PGLE is based on life table adjustment according to elimination of mortality caused by specific diagnosis. Our dataset consists of all deceased from Slovak Republic from 2001 to 2015. We analyse the impact of unemployment rate, GDP per capita, average wage, and education on life expectance in Slovak regions. To estimate that impact, ordinary least squares (OLS) is applied. According to our model, gross domestic product, average wage, and education influence mortality caused by Alzheimer's disease. Hindawi 2018-12-12 /pmc/articles/PMC6311262/ /pubmed/30643641 http://dx.doi.org/10.1155/2018/8137464 Text en Copyright © 2018 Peter Tóth et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tóth, Peter Gavurová, Beáta Barták, Miroslav Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study |
title | Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study |
title_full | Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study |
title_fullStr | Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study |
title_full_unstemmed | Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study |
title_short | Alzheimer's Disease Mortality according to Socioeconomic Factors: Country Study |
title_sort | alzheimer's disease mortality according to socioeconomic factors: country study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311262/ https://www.ncbi.nlm.nih.gov/pubmed/30643641 http://dx.doi.org/10.1155/2018/8137464 |
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