Skip to main content
. 2019 Feb 25;27(3):505–512. doi: 10.1002/oby.22394

Table 4.

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

Characteristic Model 1 Model 2 Model 3
OR 95% CI P OR 95% CI P OR 95% CI P
Height (cm) 1.04 1.01‐1.08 0.021** 1.02 0.99‐1.06 0.17 1.02 0.98‐1.05 0.38
Age (y) 1.06 1.03‐1.09 <0.001*** 1.05 1.02‐1.09 0.002***
Education
None (ref.) 1 1
Primary 2.40 0.68‐8.52 0.18 2.37 0.66‐8.51 0.18
Secondary 3.64 0.96‐13.77 0.057* 3.27 0.85‐12.57 0.084*
Higher 4.96 1.25‐19.77 0.023** 4.36 1.09‐17.45 0.038**
Wealth index
Poorest 1.47 0.50‐4.30 0.48 1.50 0.50‐4.48 0.47
Poorer 0.28 0.07‐1.09 0.066* 0.28 0.07‐1.11 0.071*
Middle (ref.) 1 1
Richer 1.14 0.50‐2.63 0.76 0.93 0.42‐2.06 0.85
Richest 1.70 0.76‐3.83 0.20 1.14 0.52‐2.49 0.74
Residency
Urban (ref.) 1 1
Rural 0.84 0.45‐1.58 0.59 0.83 0.44‐1.56 0.56
BMI
Thin (<18.5) 1.60 0.70‐3.67 0.26
Normal (18.5‐25) (ref.) 1
Overweight (25‐29.9) 2.08 1.07‐4.03 0.030**
Obesity (>30.0) 3.57 1.95‐6.53 <0.001***
Observations 1,343 1,343 1,343

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

*

P < 0.1.

**

P < 0.05.

***

P < 0.01.

Ref., reference category.