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Predicting successful aging in a population-based sample of georgia centenarians.

Publication ,  Journal Article
Arnold, J; Dai, J; Nahapetyan, L; Arte, A; Johnson, MA; Hausman, D; Rodgers, WL; Hensley, R; Martin, P; Macdonald, M; Davey, A; Siegler, IC ...
Published in: Curr Gerontol Geriatr Res
2010

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.

Duke Scholars

Published In

Curr Gerontol Geriatr Res

DOI

EISSN

1687-7071

Publication Date

2010

Volume

2010

Location

United States

Related Subject Headings

  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Arnold, J., Dai, J., Nahapetyan, L., Arte, A., Johnson, M. A., Hausman, D., … Poon, L. W. (2010). Predicting successful aging in a population-based sample of georgia centenarians. Curr Gerontol Geriatr Res, 2010. https://doi.org/10.1155/2010/989315
Arnold, Jonathan, Jianliang Dai, Lusine Nahapetyan, Ankit Arte, Mary Ann Johnson, Dorothy Hausman, Willard L. Rodgers, et al. “Predicting successful aging in a population-based sample of georgia centenarians.Curr Gerontol Geriatr Res 2010 (2010). https://doi.org/10.1155/2010/989315.
Arnold J, Dai J, Nahapetyan L, Arte A, Johnson MA, Hausman D, et al. Predicting successful aging in a population-based sample of georgia centenarians. Curr Gerontol Geriatr Res. 2010;2010.
Arnold, Jonathan, et al. “Predicting successful aging in a population-based sample of georgia centenarians.Curr Gerontol Geriatr Res, vol. 2010, 2010. Pubmed, doi:10.1155/2010/989315.
Arnold J, Dai J, Nahapetyan L, Arte A, Johnson MA, Hausman D, Rodgers WL, Hensley R, Martin P, Macdonald M, Davey A, Siegler IC, Jazwinski SM, Poon LW. Predicting successful aging in a population-based sample of georgia centenarians. Curr Gerontol Geriatr Res. 2010;2010.

Published In

Curr Gerontol Geriatr Res

DOI

EISSN

1687-7071

Publication Date

2010

Volume

2010

Location

United States

Related Subject Headings

  • 3202 Clinical sciences
  • 1103 Clinical Sciences