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

Kulminski, Alexander M

Arbeev, Konstantin G

Christensen, Kaare

Mayeux, Richard

Newman, Anne B

Province, Michael A

Hadley, Evan C

Rossi, Winifred

Perls, Thomas T

Elo, Irma T

Yashin, Anatoli I

Ireland

2017-06-07T19:09:16Z

2017-06-07T19:09:16Z

2011-04

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.

https://www.ncbi.nlm.nih.gov/pubmed/21463647

S0047-6374(11)00045-5

1872-6216

https://hdl.handle.net/10161/14878

eng

Elsevier BV

Mech Ageing Dev

10.1016/j.mad.2011.03.006

Aged

Aged, 80 and over

Aging

Attitude to Health

Cohort Studies

Depression

Disabled Persons

Disease

Female

Health Status

Humans

Longevity

Male

Sex Factors

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

Journal article

Arbeev, Konstantin G|0000-0002-4195-7832

https://www.ncbi.nlm.nih.gov/pubmed/21463647

195

201

4

Center for Population Health & Aging

Duke

Duke Cancer Institute

Duke Population Research Center

Duke Population Research Institute

Institutes and Centers

Institutes and Provost's Academic Units

Sanford School of Public Policy

School of Medicine

Social Science Research Institute

Staff

University Institutes and Centers

Published

132