Table 3.

Associations of TT and FT levels with delta changes in MetS components in 133 men and 246 women over 2 years

	ΔWaist		ΔTriglycerides		ΔHDL		ΔSystolic BP		ΔDiastolic BP		ΔGlucose		ΔBMI
	β	p	β	p	β	p	β	β	β	p	β	p	β	p
Men
Testosterone
Age adjusted	−0.09	.31	0.06	.53	0.03	.76	0.06	.53	0.00	.99	0.15	.11	−0.08	.36
Fully adjusteda	−0.10	.26	0.07	.47	−0.01	.90	0.05	.63	0.01	.94	0.15	.10	−0.12	.20
Free testosterone
Age adjusted	−0.05	.57	0.12	.21	−0.03	.74	0.07	.46	0.04	.70	0.22	.02	−0.09	.30
Fully adjusteda	−0.07	.48	0.13	.17	−0.06	.49	0.07	.44	0.05	.62	0.22	.02	−0.14	.14
Women
Testosterone
Age adjusted	−0.05	.50	0.01	.86	0.11	.14	−0.05	.43	−0.00	.97	−0.01	.84	−0.03	.61
Fully adjusted a	−0.05	.47	0.02	.81	0.10	.14	−0.05	.47	0.00	.99	−0.02	.81	−0.03	.70
Free testosterone
Age adjusted	0.01	.84	0.12	.09	0.07	.36	−0.03	.72	0.05	.61	0.00	.96	−0.06	.35
Fully adjusted a	−0.02	.76	0.12	.10	0.05	.48	−0.03	.68	0.04	.61	−0.01	.88	−0.05	.48

Data are standardized betas determined by linear regression. As the independent variables were naturally log‐transformed in the logistic regression analyses, a one‐unit change in FT or TT will not be a constant effect in the odds but will vary with FT and TT itself. The dependent and independent variables were therefore standardized, in order for the effect sizes of the beta's to become comparable among the different models. The standardized beta coefficients refer to how many SD the dependent variable will change per SD increase in the independent variable.

^aAdjusted for age, education, smoking status, alcohol use, number of chronic diseases, and testosterone affecting medication.

Abbreviation: BP, blood pressure.