Literature DB >> 22417789

Selective contribution of regional adiposity, skeletal muscle, and adipokines to glucose disposal in older adults.

Ramona Ramachandran1, Kristofer S Gravenstein, E Jeffrey Metter, Josephine M Egan, Luigi Ferrucci, Chee W Chia.   

Abstract

OBJECTIVES: To study the relationships between muscle mass, regional adiposity, and adipokines and glucose disposal in an older population.
DESIGN: Cross-sectional analysis.
SETTING: Community-dwelling volunteers from the Baltimore Longitudinal Study of Aging. PARTICIPANTS: Two hundred eighty men and 259 women with a mean age of 71.1 ± 0.4 (range 55-96) and complete data on fasting plasma adiponectin and leptin, oral glucose tolerance test (OGTT) (plasma glucose available at 0, 20, 40, 60, 80, 100, and 120 minutes), thigh computed tomography (CT), physical activity levels, and anthropometric measures. MEASUREMENTS: Participants were classified into eight groups according to the presence of global adiposity (body mass index > 27 kg/m(2)), central adiposity (waist circumference > 88 cm for women and > 102 cm for men), and low muscle mass (CT thigh, lowest sex-specific tertile (93.8 cm(2) in women and 110.7 cm(2) in men) of adjusted thigh muscle area). Linear regression models were used to estimate the contribution of these eight groups to early glucose area under the curve (AUC) (t = 0-40 minutes), late glucose AUC (t = 60-120 minutes), and total glucose AUC (t = 0-120 minutes) from the OGTT.
RESULTS: Regardless of muscle mass, individuals with a combination of central and global adiposity were more likely to have delayed glucose disposal rates (P < .05). A strong negative association was also found between circulating adiponectin levels and glucose disposal rates (early AUC, β = -0.14; late AUC, β = -0.20; and total AUC, β = -0.20; P < .05 for all three AUCs) after adjusting for regional adiposity, muscle mass, circulating leptin levels, physical activity, age, and sex.
CONCLUSION: Older individuals with global and central adiposity may be at risk of glucose intolerance unrelated to low muscle mass.
© 2012, Copyright the Authors Journal compilation © 2012, The American Geriatrics Society.

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Year:  2012        PMID: 22417789      PMCID: PMC3325365          DOI: 10.1111/j.1532-5415.2011.03865.x

Source DB:  PubMed          Journal:  J Am Geriatr Soc        ISSN: 0002-8614            Impact factor:   5.562


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Authors:  R Andres
Journal:  Med Clin North Am       Date:  1971-07       Impact factor: 5.456

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Journal:  J Chronic Dis       Date:  1978

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