TABLE 4.
Logistic Regression Model Results With Poor Health Status as the Response Variable: Rio de Janeiro, Brazil, 2006
| ORa (95% CI) | P | |
| Gender | ||
| Women (Ref) | 1.00 | |
| Men | 0.38 (0.22, 0.64) | <.001 |
| Age, y | ||
| 18–29 | 0.08 (0.03, 0.25) | <.001 |
| 30–39 | 0.33 (0.16, 0.67) | .002 |
| 40–59 | 0.52 (0.28, 0.96) | .036 |
| ≥ 60 (Ref) | 1.00 | |
| Educational level | ||
| Incomplete elementary school | 1.89 (0.99, 3.61) | .056 |
| Complete elementary school (Ref) | 1.00 | |
| Socioeconomic stratum | ||
| Slum | 3.02 (1.12, 8.16) | .029 |
| Poor | 2.83 (1.10, 7.27) | .03 |
| Intermediate | 2.78 (1.13, 6.80) | .026 |
| Rich (Ref) | 1.00 | … |
Note. OR = odds ratio; CI = confidence interval. The slum sector was composed of all slum census tracts, the poor sector was composed of all nonslum census tracts with mean monthly income less than or equal to US $350, the intermediate sector was composed of all census tracts with mean monthly income greater than US $350 and less than or equal to US $1000, and the rich sector was composed of all census tracts with mean monthly income greater than US $1000.
a
Derived from a logistic regression model adjusted for age, gender, educational level, and stratum.