Relationships between fasting plasma insulin, anthropometrics, and metabolic parameters in a very old healthy population. Associazione Medica Sabin - PubMed (original) (raw)

Comparative Study

Relationships between fasting plasma insulin, anthropometrics, and metabolic parameters in a very old healthy population. Associazione Medica Sabin

M Carantoni et al. Metabolism. 1998 May.

Abstract

Several studies have shown that insulin resistance and hyperinsulinemia are associated with many metabolic disorders predisposing to coronary heart disease (CHD). This syndrome has been termed syndrome X. However, it is not completely known whether these relationships are still present in the elderly, or whether other factors such as age, gender, and body fat distribution modulate them. Therefore, we investigated the relationship between fasting plasma insulin, total and regional adiposity, fasting plasma glucose and lipids, plasma plasminogen activator inhibitor-1 (PAI-1), fibrinogen, and coagulation factor VII in a sample of 100 healthy free-living octogenarians-nonagenarians (52 men and 48 women) who were disability-free according to the Katz index. By univariate analysis, fasting insulin correlated positively with all anthropometric measures except the waist to hip ratio (WHR) in women. There was a positive correlation between fasting insulin and fasting glucose (r=.40, P < .01), plasma triglycerides ([TGs] r=.21, P < .05), and PAI-1 levels (r=.33, P < .01), whereas a negative relation was found with high-density lipoprotein cholesterol (HDL-C) and apolipoprotein, A-I (apo A-I) levels (r=-.22 and =-.24, respectively, P < .05). These relationships were weaker and less significant in women. In pooled data, stepwise multiple regression analysis showed an independent relationship of both the body mass index (BMI) and fasting insulin level with TGs (R2=.14), while gender and fasting insulin were the best predictors of HDL-C variance (R2=.17). Furthermore, fasting insulin was the only variable independently related to PAI-1 (R2=.12). Our findings support the existence of a metabolic syndrome even in very old age by showing that high insulin levels are related to various metabolic and hemostatic disorders.

PubMed Disclaimer

Cited by

Neuroinflammatory basis of metabolic syndrome.
Purkayastha S, Cai D. Purkayastha S, et al. Mol Metab. 2013 Oct 5;2(4):356-63. doi: 10.1016/j.molmet.2013.09.005. Mol Metab. 2013. PMID: 24327952 Free PMC article. Review.
Effect of testosterone replacement treatment in testosterone deficiency syndrome patients with metabolic syndrome.
Jeong SM, Ham BK, Park MG, Oh MM, Yoon DK, Kim JJ, Moon du G. Jeong SM, et al. Korean J Urol. 2011 Aug;52(8):566-71. doi: 10.4111/kju.2011.52.8.566. Epub 2011 Aug 22. Korean J Urol. 2011. PMID: 21927705 Free PMC article.
Decreased insulin sensitivity and increased oxidative damage in wasting adipose tissue depots of wild-type mice.
Sackmann-Sala L, Berryman DE, Lubbers ER, Vesel CB, Troike KM, List EO, Munn RD, Ikeno Y, Kopchick JJ. Sackmann-Sala L, et al. Age (Dordr). 2012 Oct;34(5):1225-37. doi: 10.1007/s11357-011-9304-7. Epub 2011 Sep 29. Age (Dordr). 2012. PMID: 21953241 Free PMC article.
Obesity and inflammation: epidemiology, risk factors, and markers of inflammation.
Rodríguez-Hernández H, Simental-Mendía LE, Rodríguez-Ramírez G, Reyes-Romero MA. Rodríguez-Hernández H, et al. Int J Endocrinol. 2013;2013:678159. doi: 10.1155/2013/678159. Epub 2013 Apr 17. Int J Endocrinol. 2013. PMID: 23690772 Free PMC article.

Relationships between fasting plasma insulin, anthropometrics, and metabolic parameters in a very old healthy population. Associazione Medica Sabin - PubMed (original) (raw)