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Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.

Publication ,  Journal Article
Kulminski, AM; Arbeev, KG; Christensen, K; Mayeux, R; Newman, AB; Province, MA; Hadley, EC; Rossi, W; Perls, TT; Elo, IT; Yashin, AI
Published in: Mechanisms of ageing and development
April 2011

We used an approach of cumulative deficits to evaluate the rate of aging in 4954 participants of the Long-Life Family Study (LLFS) recruited in the U.S. (Boston, New York, and Pittsburgh) and Denmark. We used an array of 85 health-related deficits covering major health dimensions including depression, cognition, morbidity, physical performance, and disability to construct several deficit indices (DIs) with overlapping and complementary sets of deficits to test robustness of the estimates. Our study shows that the DIs robustly characterize accelerated rates of aging irrespective of specific of deficits. When a wider spectrum of health dimensions is considered these rates are better approximated by quadratic law. Exponential rates are more characteristic for more severe health dimensions. The aging rates are the same for males and females. Individuals who contracted major diseases and those who were free of them exhibited the same aging rates as characterized by the DI constructed using mild deficits. Unlike health, disability can qualitatively alter the aging patterns of the LLFS participants. We report on systemic differences in health among the LLFS centenarians residing in New York and Boston. This study highlights importance of aggregated approaches to better understand systemic mechanisms of health deterioration in long-living individuals.

Duke Scholars

Published In

Mechanisms of ageing and development

DOI

EISSN

1872-6216

ISSN

0047-6374

Publication Date

April 2011

Volume

132

Issue

4

Start / End Page

195 / 201

Related Subject Headings

  • Sex Factors
  • Male
  • Longevity
  • Humans
  • Health Status
  • Gerontology
  • Female
  • Disease
  • Disabled Persons
  • Depression
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kulminski, A. M., Arbeev, K. G., Christensen, K., Mayeux, R., Newman, A. B., Province, M. A., … Yashin, A. I. (2011). Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits. Mechanisms of Ageing and Development, 132(4), 195–201. https://doi.org/10.1016/j.mad.2011.03.006
Kulminski, Alexander M., Konstantin G. Arbeev, Kaare Christensen, Richard Mayeux, Anne B. Newman, Michael A. Province, Evan C. Hadley, et al. “Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.Mechanisms of Ageing and Development 132, no. 4 (April 2011): 195–201. https://doi.org/10.1016/j.mad.2011.03.006.
Kulminski AM, Arbeev KG, Christensen K, Mayeux R, Newman AB, Province MA, et al. Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits. Mechanisms of ageing and development. 2011 Apr;132(4):195–201.
Kulminski, Alexander M., et al. “Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.Mechanisms of Ageing and Development, vol. 132, no. 4, Apr. 2011, pp. 195–201. Epmc, doi:10.1016/j.mad.2011.03.006.
Kulminski AM, Arbeev KG, Christensen K, Mayeux R, Newman AB, Province MA, Hadley EC, Rossi W, Perls TT, Elo IT, Yashin AI. Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits. Mechanisms of ageing and development. 2011 Apr;132(4):195–201.
Journal cover image

Published In

Mechanisms of ageing and development

DOI

EISSN

1872-6216

ISSN

0047-6374

Publication Date

April 2011

Volume

132

Issue

4

Start / End Page

195 / 201

Related Subject Headings

  • Sex Factors
  • Male
  • Longevity
  • Humans
  • Health Status
  • Gerontology
  • Female
  • Disease
  • Disabled Persons
  • Depression