» Articles » PMID: 21718263

Association Between Insulin Resistance and Lean Mass Loss and Fat Mass Gain in Older Men Without Diabetes Mellitus

Overview
Specialty Geriatrics
Date 2011 Jul 2
PMID 21718263
Citations 83
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: To examine the associations between insulin resistance and changes in body composition in older men without diabetes mellitus.

Design: Longitudinal cohort study of older men participating in the Osteoporotic Fractures in Men (MrOS) study.

Setting: Six U.S. clinical centers.

Participants: Three thousand one hundred thirty-two ambulatory men aged 65 and older at baseline.

Measurements: Baseline insulin resistance was calculated for men without diabetes mellitus using the homeostasis model assessment of insulin resistance (HOMA-IR). Total lean, appendicular lean, total fat, and truncal fat mass were measured using dual energy X-ray absorptiometry scans at baseline and 4.6 ± 0.3 years later in 3,132 men with HOMA-IR measurements.

Results: There was greater loss of weight, total lean mass, and appendicular lean mass and less gain in total fat mass and truncal fat mass with increasing quartiles of HOMA-IR (P<.001 for trend). Insulin-resistant men in the highest quartile had higher odds of 5% or more loss of weight (odds ratio (OR)=1.88, 95% confidence interval (CI)=1.46-2.43), total lean mass (OR=2.09, 95% CI=1.60-2.73) and appendicular lean mass (OR=1.57, 95% CI=1.27-1.95) and lower odds of 5% or more gain in total fat mass (OR=0.56, 95% CI=0.45-0.68) and truncal fat mass (OR=0.52, 95% CI=0.42-0.64) than those in the lowest quartile. These findings remained significant after accounting for age, site, baseline weight, physical activity, and change in physical activity. These associations were also independent of other metabolic syndrome features and medications.

Conclusion: Greater lean mass loss and lower fat mass gain occurred in insulin-resistant men without diabetes mellitus than in insulin-sensitive men. Insulin resistance may accelerate age-related sarcopenia.

Citing Articles

Bidirectional causal associations between frailty measures and sleep disturbances: a two-sample Mendelian randomization study.

Che L, Zang H, Bi Y, Wen B, Xu L Nat Sci Sleep. 2025; 17:271-284.

PMID: 39936043 PMC: 11812435. DOI: 10.2147/NSS.S497173.


Beyond Traditional Body Composition Metrics: Load-Capacity Indices Emerge as Predictors of Cardiometabolic Outcomes-A Systematic Review and Meta-Analysis.

Guan Z, Minnetti M, Heymsfield S, Poggiogalle E, Prado C, Sim M Adv Nutr. 2025; 16(2):100364.

PMID: 39756680 PMC: 11808523. DOI: 10.1016/j.advnut.2024.100364.


Sex differences in skeletal muscle metabolism in exercise and type 2 diabetes mellitus.

MacGregor K, Ellefsen S, Pillon N, Hammarstrom D, Krook A Nat Rev Endocrinol. 2024; 21(3):166-179.

PMID: 39604583 DOI: 10.1038/s41574-024-01058-9.


The combined effect of diabetes mellitus and sarcopenia on depression and cognitive function: insights from the CHARLS cohort, 2011-2020.

Chen Y, Liao J, Zeng Y, Ma H, Jiang C, Yu S Eur Geriatr Med. 2024; 15(6):1881-1890.

PMID: 39294507 DOI: 10.1007/s41999-024-01039-1.


Cross-sectional comparison of the association between three different insulin resistance surrogates and frailty: NHANES 1999-2018.

Lai T, Guan F, Chen Y, Hu K Front Endocrinol (Lausanne). 2024; 15:1439326.

PMID: 39247923 PMC: 11377286. DOI: 10.3389/fendo.2024.1439326.


References
1.
Bonora E, Targher G, Alberiche M, Bonadonna R, Saggiani F, Zenere M . Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care. 2000; 23(1):57-63. DOI: 10.2337/diacare.23.1.57. View

2.
Swinburn B, Nyomba B, Saad M, Zurlo F, Raz I, Knowler W . Insulin resistance associated with lower rates of weight gain in Pima Indians. J Clin Invest. 1991; 88(1):168-73. PMC: 296017. DOI: 10.1172/JCI115274. View

3.
Pahor M, Chrischilles E, Guralnik J, Brown S, Wallace R, Carbonin P . Drug data coding and analysis in epidemiologic studies. Eur J Epidemiol. 1994; 10(4):405-11. DOI: 10.1007/BF01719664. View

4.
Fantin F, Francesco V, Fontana G, Zivelonghi A, Bissoli L, Zoico E . Longitudinal body composition changes in old men and women: interrelationships with worsening disability. J Gerontol A Biol Sci Med Sci. 2008; 62(12):1375-81. DOI: 10.1093/gerona/62.12.1375. View

5.
Washburn R, Smith K, Jette A, Janney C . The Physical Activity Scale for the Elderly (PASE): development and evaluation. J Clin Epidemiol. 1993; 46(2):153-62. DOI: 10.1016/0895-4356(93)90053-4. View