Table 3.

Logistic regression results: association between height and diabetes among women in Namibia, 2013

	Model 1			Model 2			Model 3
Characteristic	OR	95% CI	P	OR	95% CI	P	OR	95% CI	P
Height (cm)	0.97	0.94‐0.99	0.033**	0.97	0.94‐0.99	0.041**	0.96	0.94‐0.99	0.023**
Age (y)				1.04	1.01‐1.07	0.008***	1.04	1.01‐1.07	0.012**
Education
None (ref.)				1			1
Primary				0.84	0.35‐2.01	0.70	0.86	0.36‐2.02	0.72
Secondary				0.81	0.32‐2.01	0.65	0.82	0.33‐1.99	0.72
Higher				0.69	0.22‐2.19	0.52	0.66	0.21‐2.04	0.47
Wealth index
Poorest				0.32	0.11‐0.93	0.037**	0.41	0.14‐1.19	0.10
Poorer				0.84	0.37‐1.91	0.67	0.92	0.40‐2.13	0.85
Middle (ref.)				1			1
Richer				2.47	1.25‐4.88	0.009***	2.09	1.07‐4.06	0.030**
Richest				2.43	1.04‐5.68	0.041**	1.98	0.84‐4.62	0.12
Residency
Urban (ref.)				1			1
Rural				0.85	0.45‐1.60	0.62	0.87	0.46‐1.63	0.66
BMI
Thin (<18.5)							0.58	0.19‐1.78	0.34
Normal (18.5‐25) (ref.)							1
Overweight (25‐29.9)							1.19	0.64‐2.22	0.59
Obesity (>30.0)							2.20	1.25‐3.85	0.006***
Observations	1,898			1,898			1,898

Estimates of odds ratios (ORs) and 95% CIs of explanatory variables for diabetes obtained from logistic regression models. Sample includes women ages 35 to 64 included in 2013 Namibia Demographic and Health Survey.

^** P < 0.05.

^*** P < 0.01.

Ref., reference category.