Table 2.
Logistic regression results: association between height and diabetes in Namibia, 2013
| Characteristic | Model 1 | Model 2 | Model 3 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | P | OR | 95% CI | P | OR | 95% CI | P | |
| Height (cm) | 1.01 | 0.99‐1.03 | 0.45 | 0.99 | 0.97‐1.02 | 0.70 | 0.99 | 0.97‐1.02 | 0.47 |
| Age (y) | 1.05 | 1.03‐1.07 | <0.001*** | 1.05 | 1.02‐1.07 | <0.001*** | |||
| Sex | |||||||||
| Male (ref.) | 1 | 1 | |||||||
| Female | 0.84 | 0.60‐1.18 | 0.38 | 0.64 | 0.44‐0.92 | 0.022** | |||
| Education | |||||||||
| None (ref.) | 1 | 1 | |||||||
| Primary | 1.29 | 0.65‐2.56 | 0.47 | 1.29 | 0.65‐2.56 | 0.47 | |||
| Secondary | 1.41 | 0.72‐2.75 | 0.30 | 1.43 | 0.73‐2.79 | 0.30 | |||
| Higher | 1.60 | 0.73‐3.50 | 0.24 | 1.51 | 0.70‐3.27 | 0.30 | |||
| Wealth index | |||||||||
| Poorest | 0.67 | 0.31‐1.44 | 0.31 | 0.81 | 0.38‐1.75 | 0.59 | |||
| Poorer | 0.64 | 0.30‐1.34 | 0.24 | 0.69 | 0.33‐1.48 | 0.34 | |||
| Middle (ref.) | 1 | 1 | |||||||
| Richer | 1.81 | 1.04‐3.23 | 0.037** | 1.50 | 0.87‐2.60 | 0.15 | |||
| Richest | 2.17 | 1.17‐4.02 | 0.014** | 1.61 | 0.86‐3.00 | 0.13 | |||
| Residency | |||||||||
| Urban (ref.) | 1 | 1 | |||||||
| Rural | 0.82 | 0.50‐1.34 | 0.42 | 0.82 | 0.50‐1.35 | 0.43 | |||
| BMI | |||||||||
| Thin (<18.5) | 1.13 | 0.58‐2.18 | 0.72 | ||||||
| Normal (18.5‐25) (ref.) | 1 | ||||||||
| Overweight (25‐29.9) | 1.66 | 1.05‐2.61 | 0.030** | ||||||
| Obesity (>30.0) | 2.98 | 1.92‐4.63 | <0.001*** | ||||||
| Observations | 3,241 | 3,241 | 3,241 | ||||||
Estimates of odds ratios (ORs) and 95% CIs of explanatory variables for diabetes obtained from logistic regression models. Sample includes women and men aged 35 to 64 included in 2013 Namibia Demographic and Health Survey.
**
P < 0.05.
***
P < 0.01.
Ref., reference category.