Table 2.

Results From Multiple Linear Regression Models Examining Correlations Between Fasting Values of Growth Hormone and Traditional Cardiovascular Risk Factors

Risk factor	Male			Female
	β Coefficient∗	95% CI	p Value	β Coefficient∗	95% CI	p Value
Age	0.02	0.01 to 0.03	<0.001	0.02	0.01 to 0.02	<0.001
Systolic blood pressure	0.02	−0.03 to 0.07	0.38	−0.04	−0.08 to 0.00	0.04
Antihypertensive medication	0.13	0.00 to 0.26	0.05	0.07	−0.03 to 0.18	0.18
BMI	−0.07	−0.12 to −0.03	0.003	−0.25	−0.29 to −0.21	<0.001
Current smoking	0.29	0.19 to 0.39	<0.001	0.19	0.10 to 0.27	<0.001
LDL-C	−0.09	−0.13 to −0.04	<0.001	−0.10	−0.14 to −0.06	<0.001
HDL-C	0.20	0.15 to 0.25	<0.001	0.08	0.04 to 0.12	<0.001
Diabetes mellitus	0.21	0.07 to 0.36	0.004	−0.16	−0.31 to 0.00	0.05

BMI = body mass index; other abbreviations as in Table 1.

^∗The β coefficients are expressed as the increment of standardized values of the natural logarithm of high-sensitivity growth hormone per 1 increment of standardized values (or presence of dichotomized risk factor) of the risk factor in question. NB age is not standardized. BMI (weight [kg] divided by height [m²]), systolic blood pressure, and fasting values of HDL-C and LDL-C are standardized. Prevalence of diabetes mellitus, current smoking, and use of antihypertensive medication are dichotomous variables.