Cargando…

Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians

Used a population-based sample (Georgia Centenarian Study, GCS), to determine proportions of centenarians reaching 100 years as (1) survivors (43%) of chronic diseases first experienced between 0–80 years of age, (2) delayers (36%) with chronic diseases first experienced between 80–98 years of age,...

Descripción completa

Detalles Bibliográficos
Autores principales: Arnold, Jonathan, Dai, Jianliang, Nahapetyan, Lusine, Arte, Ankit, Johnson, Mary Ann, Hausman, Dorothy, Rodgers, Willard L., Hensley, Robert, Martin, Peter, MacDonald, Maurice, Davey, Adam, Siegler, Ilene C., Jazwinski, S. Michal, Poon, Leonard W.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946582/
https://www.ncbi.nlm.nih.gov/pubmed/20885919
http://dx.doi.org/10.1155/2010/989315
_version_ 1782187307376312320
author Arnold, Jonathan
Dai, Jianliang
Nahapetyan, Lusine
Arte, Ankit
Johnson, Mary Ann
Hausman, Dorothy
Rodgers, Willard L.
Hensley, Robert
Martin, Peter
MacDonald, Maurice
Davey, Adam
Siegler, Ilene C.
Jazwinski, S. Michal
Poon, Leonard W.
author_facet Arnold, Jonathan
Dai, Jianliang
Nahapetyan, Lusine
Arte, Ankit
Johnson, Mary Ann
Hausman, Dorothy
Rodgers, Willard L.
Hensley, Robert
Martin, Peter
MacDonald, Maurice
Davey, Adam
Siegler, Ilene C.
Jazwinski, S. Michal
Poon, Leonard W.
author_sort Arnold, Jonathan
collection PubMed
description Used a population-based sample (Georgia Centenarian Study, GCS), to determine proportions of centenarians reaching 100 years as (1) survivors (43%) of chronic diseases first experienced between 0–80 years of age, (2) delayers (36%) with chronic diseases first experienced between 80–98 years of age, or (3) escapers (17%) with chronic diseases only at 98 years of age or older. Diseases fall into two morbidity profiles of 11 chronic diseases; one including cardiovascular disease, cancer, anemia, and osteoporosis, and another including dementia. Centenarians at risk for cancer in their lifetime tended to be escapers (73%), while those at risk for cardiovascular disease tended to be survivors (24%), delayers (39%), or escapers (32%). Approximately half (43%) of the centenarians did not experience dementia. Psychiatric disorders were positively associated with dementia, but prevalence of depression, anxiety, and psychoses did not differ significantly between centenarians and an octogenarian control group. However, centenarians were higher on the Geriatric Depression Scale (GDS) than octogenarians. Consistent with our model of developmental adaptation in aging, distal life events contribute to predicting survivorship outcome in which health status as survivor, delayer, or escaper appears as adaptation variables late in life.
format Text
id pubmed-2946582
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-29465822010-09-30 Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians Arnold, Jonathan Dai, Jianliang Nahapetyan, Lusine Arte, Ankit Johnson, Mary Ann Hausman, Dorothy Rodgers, Willard L. Hensley, Robert Martin, Peter MacDonald, Maurice Davey, Adam Siegler, Ilene C. Jazwinski, S. Michal Poon, Leonard W. Curr Gerontol Geriatr Res Research Article Used a population-based sample (Georgia Centenarian Study, GCS), to determine proportions of centenarians reaching 100 years as (1) survivors (43%) of chronic diseases first experienced between 0–80 years of age, (2) delayers (36%) with chronic diseases first experienced between 80–98 years of age, or (3) escapers (17%) with chronic diseases only at 98 years of age or older. Diseases fall into two morbidity profiles of 11 chronic diseases; one including cardiovascular disease, cancer, anemia, and osteoporosis, and another including dementia. Centenarians at risk for cancer in their lifetime tended to be escapers (73%), while those at risk for cardiovascular disease tended to be survivors (24%), delayers (39%), or escapers (32%). Approximately half (43%) of the centenarians did not experience dementia. Psychiatric disorders were positively associated with dementia, but prevalence of depression, anxiety, and psychoses did not differ significantly between centenarians and an octogenarian control group. However, centenarians were higher on the Geriatric Depression Scale (GDS) than octogenarians. Consistent with our model of developmental adaptation in aging, distal life events contribute to predicting survivorship outcome in which health status as survivor, delayer, or escaper appears as adaptation variables late in life. Hindawi Publishing Corporation 2010 2010-09-14 /pmc/articles/PMC2946582/ /pubmed/20885919 http://dx.doi.org/10.1155/2010/989315 Text en Copyright © 2010 Jonathan Arnold et al. https://creativecommons.org/licenses/by/3.0/ 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
Arnold, Jonathan
Dai, Jianliang
Nahapetyan, Lusine
Arte, Ankit
Johnson, Mary Ann
Hausman, Dorothy
Rodgers, Willard L.
Hensley, Robert
Martin, Peter
MacDonald, Maurice
Davey, Adam
Siegler, Ilene C.
Jazwinski, S. Michal
Poon, Leonard W.
Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians
title Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians
title_full Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians
title_fullStr Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians
title_full_unstemmed Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians
title_short Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians
title_sort predicting successful aging in a population-based sample of georgia centenarians
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2946582/
https://www.ncbi.nlm.nih.gov/pubmed/20885919
http://dx.doi.org/10.1155/2010/989315
work_keys_str_mv AT arnoldjonathan predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT daijianliang predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT nahapetyanlusine predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT arteankit predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT johnsonmaryann predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT hausmandorothy predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT rodgerswillardl predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT hensleyrobert predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT martinpeter predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT macdonaldmaurice predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT daveyadam predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT sieglerilenec predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT jazwinskismichal predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians
AT poonleonardw predictingsuccessfulaginginapopulationbasedsampleofgeorgiacentenarians