Table 1.

GEE analysis of the effect of IPV on the probability of birth/year (including time period dummies and other controls [model 1], and omitting the most recent time period, 2003–2012 [model 2]).

(1) All wives (n=1,905 marital years, 105 wives)				(2) Omit most recent time period (n=1,249 marital years, 80 wives)
Parameter	Exp(B)	95% CI	P	Exp(B)	95% CI	P
Experience IPV that year (vs. not)	0.500	0.273–0.917	0.025	0.355	0.152–0.828	0.017
Wife age (years)	1.092	1.020–1.168	0.011	1.096	1.009–1.189	0.029
Experience IPV that year*Wife age	1.035	1.012–1.059	0.003	1.055	1.020–1.092	0.002
Wife age2 (years)	0.998	0.997–0.999	<0.001	0.998	0.996–0.999	0.001
Wife any schooling (vs. none)	0.758	0.618–0.928	0.007	0.764	0.592–0.985	0.038
Wife Spanish fluent (vs. none)	0.296	0.117–0.748	0.010	0.179	0.055–0.581	0.004
Wife Spanish fluent*Wife age	1.065	1.028–1.104	0.001	1.084	1.041–1.130	<0.001
Wife weight (kg)^	1.010	1.000–1.020	0.050	1.016	1.004–1.028	0.009
Period=2003–2012 (vs. pre-1992)	1.287	1.024–1.619	0.031	-----	-----	-----
Period=1992–2002 (vs. pre-1992)	1.207	0.974–1.495	0.085	1.144	0.915–1.431	0.238
Village 1 (vs. others)	1.047	0.812–1.351	0.722	1.107	0.804–1.524	0.533
Village 2 (vs. others)	1.094	0.866–1.382	0.452	1.229	0.870–1.738	0.242
Village 3 (vs. others)	0.823	0.474–1.430	0.489	0.897	0.485–1.658	0.729
Village 4 (vs. others)	1.182	0.904–1.544	0.221	1.210	0.789–1.857	0.383
Village 5 (vs. others)	1	-----	-----	1	-----	-----

^{^}Year of anthropometry data collection is also controlled (not significant in either model).