Table 2.
Independent variables | Odds ratio | 95% confidence interval |
Number of children (female)b | 1.16 | 1.04–1.29 |
Number of children (male)b | 1.18 | 1.05–1.34 |
Age (female) | 1.02 | 1.001–1.05 |
Age (male) | 0.98 | 0.96–1.01 |
Economic index (female) | 1.002 | 0.99–1.01 |
Economic index (male) | 1.02 | 1.01–1.04 |
Active workforce (female) | 0.25 | 0.10–0.60 |
Active workforce (male) | 0.76 | 0.46–1.27 |
High education | 0.60 | 0.37–0.97 |
Moderate education | 0.76 | 0.59–0.96 |
Smoking | 0.68 | 0.48–0.98 |
Resident in city | 0.70 | 0.47–1.04 |
Male vs. female: Active workforcec | 1.21d | 0.32–4.56 |
Male vs. female: Nonactive workforcec | 0.40e | 0.16–1.00 |
a Body mass index 30 (kg/m2) or greater
bThe interaction terms were included as cross-products between sex and the predictors of interest(number of children, age, economic index and workforce level) therefore, different OR for male and female were obtained.
cNumber of children, age and economic index were examined as continuous variables. Male vs. female OR evaluated at the overall mean number of children, age, and economic index.
dAmong subjects with active level, the odds of obesity for men was1.21 times that for women.
eAmong subjects with nonactive level, the odds of obesity for men was 0.40 times that for women.