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IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES
The purpose of this study was to identify key predictors of centenarian survival in Oklahoma. Data originated from N = 607 centenarian biographies maintained within Oklahoma Centenarians, Inc. historical records database. Biographies were analyzed and coded for demographic content. IBM/SPSS 23.0 was...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846539/ http://dx.doi.org/10.1093/geroni/igz038.2646 |
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author | Firdauysa, Nadia Bhatta, Jyoti Bishop, Alex J |
author_facet | Firdauysa, Nadia Bhatta, Jyoti Bishop, Alex J |
author_sort | Firdauysa, Nadia |
collection | PubMed |
description | The purpose of this study was to identify key predictors of centenarian survival in Oklahoma. Data originated from N = 607 centenarian biographies maintained within Oklahoma Centenarians, Inc. historical records database. Biographies were analyzed and coded for demographic content. IBM/SPSS 23.0 was then used to compute linear regression analyses to examine the association of predictor variables sex, race, education, cohort, and longevity secret relative to days of survival. Only race (std. B = .10, p < .05) and cohort (std. B = -.11, p < .01) emerged as significant predictors of overall survivorship. Non-white centenarians live longer than their White-Caucasian counterparts; whereas earlier-born cohorts have shorter survival. Closer examination of these findings revealed that non-White centenarians have historically lived an average of 300.38 days longer than their White counterparts; whereas later born cohorts have historically an average of 48.10 days shorter than earlier-born cohorts. Despite the fact that sex and subjective longevity secrets failed to yield any significance, further inspection revealed two interesting highlights. First, centenarian males have historically lived an average of 147.89 days less than female centenarians. Second, centenarians who cite God as the secrete to their longevity have historically lived 100.23 fewer days than centenarians who attribute their longevity to something else. Results have implications to further understanding the interplay of race and human longevity, as well as variables attributed to improved survivorship across successive cohorts. Further discussion relative to health practices and policies to improve longevity in states like Oklahoma will be further highlighted. |
format | Online Article Text |
id | pubmed-6846539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68465392019-11-18 IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES Firdauysa, Nadia Bhatta, Jyoti Bishop, Alex J Innov Aging Session 3370 (Poster) The purpose of this study was to identify key predictors of centenarian survival in Oklahoma. Data originated from N = 607 centenarian biographies maintained within Oklahoma Centenarians, Inc. historical records database. Biographies were analyzed and coded for demographic content. IBM/SPSS 23.0 was then used to compute linear regression analyses to examine the association of predictor variables sex, race, education, cohort, and longevity secret relative to days of survival. Only race (std. B = .10, p < .05) and cohort (std. B = -.11, p < .01) emerged as significant predictors of overall survivorship. Non-white centenarians live longer than their White-Caucasian counterparts; whereas earlier-born cohorts have shorter survival. Closer examination of these findings revealed that non-White centenarians have historically lived an average of 300.38 days longer than their White counterparts; whereas later born cohorts have historically an average of 48.10 days shorter than earlier-born cohorts. Despite the fact that sex and subjective longevity secrets failed to yield any significance, further inspection revealed two interesting highlights. First, centenarian males have historically lived an average of 147.89 days less than female centenarians. Second, centenarians who cite God as the secrete to their longevity have historically lived 100.23 fewer days than centenarians who attribute their longevity to something else. Results have implications to further understanding the interplay of race and human longevity, as well as variables attributed to improved survivorship across successive cohorts. Further discussion relative to health practices and policies to improve longevity in states like Oklahoma will be further highlighted. Oxford University Press 2019-11-08 /pmc/articles/PMC6846539/ http://dx.doi.org/10.1093/geroni/igz038.2646 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 3370 (Poster) Firdauysa, Nadia Bhatta, Jyoti Bishop, Alex J IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES |
title | IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES |
title_full | IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES |
title_fullStr | IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES |
title_full_unstemmed | IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES |
title_short | IDENTIFYING PREDICTORS OF SURVIVAL TO 100 IN OKLAHOMA USING CENTENARIAN BIOGRAPHIES |
title_sort | identifying predictors of survival to 100 in oklahoma using centenarian biographies |
topic | Session 3370 (Poster) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846539/ http://dx.doi.org/10.1093/geroni/igz038.2646 |
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