Table 3.
Weighted multilevel logistic regression estimate of education and mother’s overweight by national nutrition transition (NT) status among mothers of reproductive age (15–49 years; n 143 258) across twenty-two administrations of the Demographic and Health Survey in nine Latin American/Caribbean countries
| Model 3 | |||
|---|---|---|---|
| Log odds | se | OR | |
| Education | 0·063*** | 0·007 | 1·065 |
| Education×NT status † | −0·004*** | 0·001 | 0·995 |
| Education×Urbanization | −0·002** | 0·000 | 0·998 |
| Education×Logged GDP | 0·011 | 0·009 | 1·011 |
| Education2 | −0·005*** | 0·000 | 0·995 |
| Wealth | 0·317*** | 0·018 | 1·373 |
| Age | 0·059*** | 0·001 | 1·061 |
| Pregnancy (yes=1) | 0·696*** | 0·039 | 2·005 |
| Urbanicity (urban=1) | 0·339*** | 0·042 | 1·403 |
| NT status | 0·057** | 0·014 | 1·059 |
| Urbanization | 0·029** | 0·007 | 1·030 |
| Logged GDP | 0·032 | 0·165 | 1·033 |
| Intercept | −0·654*** | 0·067 | 0·519 |
| Sample size | 143 258 | ||
| Number of groups | 22 | ||
| Variance components‡ | |||
| Intercept (τ 00) | 0·10184*** | ||
| Education (τ 11) | 0·00012*** | ||
| Covariance (τ 10) | −0·00080*** | ||
GDP, gross domestic product.
**P<0·01 ***P<0·001.
†
Grand-mean centred variables are italicized.
‡
The significance of variance components indicates whether the random effect can be assumed in intercept and coefficients.