Table 5.
Weighted logistic regression models of delivering at a clinic or hospital by type of migrant spouse for births occurring to currently-married women (15–45 years) who had a live birth between 2007–2014 in non-treatment areas of Matlab, Bangladesh (N = 1,458 births)
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| N = 1,458 | N = 1,458 | N = 1,458 | N = 1,458 | |
| OR (s.e.) | OR (s.e.) | AOR (s.e.) | AOR (s.e.) | |
| Migrant spouse | ||||
| Domestic urban migrant | 1.928* (0.612) | 0.548 (0.232) | 0.561 (0.242) | 0.273 (0.226) |
| International migrant | 1.507 (0.369) | 0.537 (0.210) | 0.552 (0.223) | 0.647 (0.383) |
| Household structure | ||||
| Lives with natal family | 2.140* (0.757) | 1.425 (0.556) | 1.481 (1.126) | |
| Lives with in-laws | 1.454 (0.294) | 0.941 (0.211) | 0.917 (0.238) | |
| Received remittances | 1.521 (0.552) | 2.011 (0.769) | 2.027 (0.884) | |
| Daily spousal communication | 2.336* (0.836) | 1.666 (0.605) | 1.702 (0.613) | |
| Migrant spouse x household structure | ||||
| Domestic urban migrant x lives with natal family | 1.750 (1.985) | |||
| Domestic urban migrant x lives with in-laws | 2.751 (2.408) | |||
| International migrant x lives with natal family | 0.875 (0.851) | |||
| International migrant x lives with in-laws | 0.762 (0.424) | |||
| Constant | 0.249*** (0.0284) | 0.207*** (0.0326) | 0.0134*** (0.0130) | 0.0151*** (0.0146) |
| Wald chi2 | 6.090 | 23.110 | 114.400 | 120.800 |
| Pseudo R2 | 0.011 | 0.036 | 0.160 | 0.163 |
Notes: 1) Models 3 and 4 control for age, years attended school, spouse’s years attended school, log transformation of productive and non-productive assets, self and family history of migration (father and sibling), distance from a healthcare facility, and year of birth. 2) *** p < 0.001, ** p < 0.01, * p < 0.05