Table 3.

Results of discrete-time hazard models for diabetes mellitus, kidney disease and accidents/injuries

	Diabetes (n = 49)				Kidney disease (n = 24)				Accidents/injuries (n = 52)
Predictor	β	SE	p	Hazard	β	SE	p	Hazard	β	SE	p	Hazard
				ratio (95% CIs)				ratio (95% CIs)				ratio (95% CIs)
Age Spline-1	−0.52	0.74	0.48	0.59 (0.14, 2.50)	−0.01	0.38	0.97	0.99 (0.47, 2.09)	0.37	0.50	0.47	1.44 (0.54, 3.86)
Age Spline-2	1.41	1.88	0.46	4.10 (0.10, 162.89)	0.01	1.11	0.99	1.01 (0.11, 8.98)	−1.16	1.52	0.45	0.31 (0.02, 6.19)
Age Spline-3	1.16	2.25	0.61	3.18 (0.04, 263.91)	3.68	2.11	0.09	39.58 (0.63, 2481.40)	4.81	1.41	0.001**	122.93 (7.80, 1937.20)
Testosterone	−0.14	0.18	0.44	0.87 (0.61, 1.24)	0.03	0.14	0.80	1.04 (0.79, 1.36)	0.05	0.04	0.22	1.06 (0.97, 1.15)
African American	−0.33	0.50	0.51	0.72 (0.27, 1.93)	0.52	0.60	0.39	1.67 (0.51, 5.45)	−0.44	0.54	0.42	0.65 (0.22, 1.87)
Other Ethnicity	−15.42	0.32	<0.001***	0.00 (0.00, 0.00)	−0.06	1.22	0.96	0.94 (0.09, 10.33)	−2.45	0.75	0.002**	0.09 (0.02, 0.37)
Hispanic/Latino	−0.43	0.48	0.38	0.65 (0.25, 1.68)	−0.60	0.63	0.34	0.55 (0.16, 1.89)	−0.09	0.59	0.88	0.92 (0.29, 2.89)
Education	−0.40	0.23	0.09	0.67 (0.43, 1.06)	−0.64	0.30	0.04*	0.53 (0.29, 0.95)	−0.31	0.30	0.30	0.73 (0.40, 1.32)
Body Mass Index	−0.01	0.04	0.75	0.99 (0.90, 1.07)	0.03	0.04	0.51	1.03 (0.95, 1.11)	0.00	0.04	0.97	1.00 (0.93, 1.07)
Age 1*Testosterone	0.02	0.19	0.92	1.02 (0.70, 1.47)	−0.06	0.06	0.30	0.94 (0.84, 1.06)	−0.03	0.10	0.78	0.97 (0.80, 1.19)
Age 2*Testosterone	−0.07	0.44	0.87	0.93 (0.39, 2.20)	0.13	0.20	0.51	1.14 (0.77, 1.68)	0.08	0.31	0.79	1.09 (0.59, 2.00)
Age 3*Testosterone	0.05	0.36	0.89	1.05 (0.52, 2.11)	−0.15	0.44	0.74	0.86 (0.36, 2.06)	−0.50	0.31	0.11	0.61 (0.33, 1.11)

Note: Lower testosterone levels are associated with higher risk of death in men.

*p < 0.05, **p < 0.01, ***p < 0.001, †p < 0.06.