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    Leukocyte telomere length is associated with disability in older u.s. Population.

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    Date
    2010-07
    Authors
    Arbeev, Konstantin
    Martin, GM
    Oshima, J
    Rabinovitch, PS
    Risques, RA
    Ukraintseva, Svetlana
    Yashin, Anatoli I
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    Abstract
    OBJECTIVES: To determine whether mean leukocyte telomere length (LTL) serves as a biomarker of disability assessed according to activities of daily living (ADLs) and what factors may modify this relationship. DESIGN: Retrospective cross-sectional study. SETTING: A subset of the National Long Term Care Survey (NTLCS), a Medicare-based U.S. population longitudinal study focused on trends of overall health and functional status in older adults. PARTICIPANTS: Six hundred and twenty-four individuals from the 1999 wave of the NTLCS cohort. MEASUREMENTS: Relative LTL determined according to quantitative polymerase chain reaction. LTL has previously been shown to correlate with common age-related disorders and mortality, as well as with socioeconomic status. RESULTS: A sex difference in LTL was observed but not age-dependent shortening or association with socioeconomic status. LTL was associated with disability and functional status assessed according to ADLs. The association between ADLs and LTL was stronger in subjects without diabetes mellitus, whereas associations were not seen when only subjects with diabetes mellitus were analyzed. Associations between LTL and cardiovascular disease (CVD) and cancer were also present in the group without diabetes mellitus but not in the group with diabetes mellitus. CONCLUSION: These findings support the concept that LTL is a biomarker of overall well-being that is predictive of disability of older individuals in the U.S. population. Diabetes mellitus plays an important role as a modifier of the association between LTL and disability, CVD, and cancer. These associations have clinical implications because of the potential predictive value of LTL and deserve further investigation.
    Type
    Journal article
    Subject
    Activities of Daily Living
    Age Factors
    Aged
    Aged, 80 and over
    Biomarkers
    Cross-Sectional Studies
    Disability Evaluation
    Female
    Geriatric Assessment
    Humans
    Leukocytes
    Male
    Predictive Value of Tests
    Retrospective Studies
    Sex Factors
    Socioeconomic Factors
    Telomere
    Permalink
    https://hdl.handle.net/10161/14880
    Published Version (Please cite this version)
    10.1111/j.1532-5415.2010.02948.x
    Publication Info
    Arbeev, Konstantin; Martin, GM; Oshima, J; Rabinovitch, PS; Risques, RA; Ukraintseva, Svetlana; & Yashin, Anatoli I (2010). Leukocyte telomere length is associated with disability in older u.s. Population. J Am Geriatr Soc, 58(7). pp. 1289-1298. 10.1111/j.1532-5415.2010.02948.x. Retrieved from https://hdl.handle.net/10161/14880.
    This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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    Scholars@Duke

    Arbeev

    Konstantin Arbeev

    Associate Research Professor in the Social Science Research Institute
    Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock (Germany) before moving to Duke University in 2004 to work as a Resea
    Ukraintseva

    Svetlana Ukraintseva

    Associate Research Professor in the Social Science Research Institute
    Dr. Ukraintseva's research interests include understanding of the genetic and other causes of human aging and longevity, with emphasis on factors responsible for the aging-related decline in physiological resilience and the increase in mortality risk with age eventually limiting longevity. She explores complex relationships, including trade-offs, between physiological aging changes and risks of diseases (e.g., Alzheimer’s and cancer) and death, using data
    Yashin

    Anatoli I. Yashin

    Research Professor in the Social Science Research Institute
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