Relationships between fasting plasma insulin, anthropometrics, and metabolic parameters in a very old healthy population. Associazione Medica Sabin.
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.
Carantoni
M
M
Second Department of Internal Medicine, University of Ferrara, Italy.
Zuliani
G
G
Volpato
S
S
Palmieri
E
E
Mezzetti
A
A
Vergnani
L
L
Fellin
R
R
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over / Q000502:physiology*; D000375:Aging / Q000097:blood*; D000886:Anthropometry; D016632:Apolipoprotein A-I / Q000097:blood; D015415:Biomarkers / Q000097:blood*; D001786:Blood Glucose / Q000378:metabolism; D001824:Body Constitution; D015992:Body Mass Index; D002784:Cholesterol / Q000097:blood; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003327:Coronary Disease / Q000097:blood / Q000503:physiopathology; D005167:Factor VII / Q000378:metabolism; D005215:Fasting; D005260:Female; D005340:Fibrinogen / Q000378:metabolism; D006801:Humans; D007328:Insulin / Q000097:blood*; D008297:Male; D015999:Multivariate Analysis; D009765:Obesity / Q000097:blood / Q000503:physiopathology; D017395:Plasminogen Activator Inhibitor 1 / Q000378:metabolism; D012044:Regression Analysis; D012307:Risk Factors; D012737:Sex Factors; D014280:Triglycerides / Q000097:blood
D016632:Apolipoprotein A-I; D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D007328:Insulin; D017395:Plasminogen Activator Inhibitor 1; D014280:Triglycerides; D005167:Factor VII; D005340:Fibrinogen; D002784:Cholesterol