Table 5.
Multiple logistic regression of likelihood of wife abuse in the past year
| Parameter | Husbands’ reports (n=60) | Wives’ reports (n=71) | ||||||
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| B | SE | p | OR | B | SE | p | OR | |
| Husband had affair in past year=yes | 1.682 | 0.782 | 0.031 | 5.377 | 1.61 | 0.841 | 0.05 | 5.002 |
| Wife’s agea | −2.773 | 1.271 | 0.029 | 0.063 | −0.147 | 0.045 | 0.001 | 0.863 |
| Husband absent from village in past year=yes | 1.545 | 0.892 | 0.083 | 4.686 | 2.177 | 0.845 | 0.01 | 8.816 |
| Wife’s natal kin=resident in household cluster | −0.77 | 0.97 | 0.428 | 0.463 | 0.033 | 0.912 | 0.972 | 1.033 |
| Joint dependents < age 10=co-resident | −1.876 | 1.281 | 0.143 | 0.153 | −2.478 | 1.572 | 0.115 | 0.084 |
| Constant | 8.495 | 5.021 | 0.091 | 4.5 | 2.433 | 0.064 | ||
| Nagelkerke R2 | 0.445 | 0.63 | ||||||
Log of wife’s age was used to model husbands’ reports as it provided a better fit