Results from multiple linear regression models adjusted for sex and age examining correlations between fasting values of growth hormone and traditionally associated variables.

One regression model is performed per variable with hs-GH as the dependent variable vs the variable in question, sex and age as independent variables. * The β coefficients are expressed as the increment of standardized values of the natural logarithm of hs-GH per 1 increment of standardized values of the natural logarithm of the variable in question. Variables and hs-GH are standardized separately in men and women before being used in the combined analysis. †Abbreviations: BMI, Body Mass Index; LDL-C, Low-density lipoprotein cholesterol; HDL-C, High-density lipoprotein cholesterol Results from multiple linear regression models adjusted for sex and age examining correlations between fasting values of growth hormone and traditionally associated variables.