Table 4.

Single and multiple linear regressions for significant factors related to depression

Variables	Single linear	Multiple linear
	P value	P value	β (95% CI)
Age (years)	0.003	< 0.001	0.210 (0.101–0.32)
Husband’s age (years)	< 0.001	–	–
Husband’s Education	0.032	0.005	1.072 (0.318–1.825)
Psychological violence- mild	0.001	–	–
Psychological violence- moderate	< 0.001	–	–
Psychological violence- severe	< 0.001	< 0.001	4.799 (2.347–7.251)
Physical violence- mild	< 0.001	–	–
Physical violence- moderate	< 0.001	–	–
Physical violence- severe	0.014	–	–
Sexual violence- mild, no genital contact	< 0.001	0.026	31.246 (3.721–58.772)
Sexual violence- moderate	< 0.001	–	–
Sexual violence- severe	< 0.001	0.002	5.999 (2.168–9.829)
Parity	0.021	–	–
Gestational age (weeks)	< 0.001	< 0.001	−0.018 (−0.027 - -0.008)
Duration of marriage (years)	0.006	–	–

For the construction of logistic regression models for the prediction of antenatal depression the dependent variable was the presence or absence of depression. This was put against all of the variables that it depended upon; hence, there were multiple simple logistic models each with a significant factor. These significant factors were put in a model and factors were removed one by one to produce a best-fit multiple logistic model