. Author manuscript; available in PMC: 2014 Jan 8.

Published in final edited form as: J Addict Dis. 2013;32(4):10.1080/10550887.2013.859452. doi: 10.1080/10550887.2013.859452

Table 3.

Negative Binomial Regression of Drug Use on Gender, Acculturation Age at Marriage, and Number of Children (N=734)

	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7	Model 8
Female	−1.451^*** (.217)	−1.991^*** (.297)	−3.346^*** (.813)	−1.554^*** (.224)	−2.122^* (1.014)	−.970^** (.398)	−1.499^*** (.218)	−1.848^** (.607)
Cuban	−.138 (.232)	−.176 (.231)	−.081 (.232)	−.191 (.235)	−.206 (.235)	−.127 (.232)	−.203 (.223)	−.246 (.237)
Age	−.029^** (.009)	−.039^*** (.009)	−.034^*** (.009)	−.037^*** (.009)	−.037^*** (.009)	−.029^** (.009)	−.029^** (.009)	−.030^*** (.009)
Socioeconomic Status	.246^* (.117)	.273^* (.118)	.229^* (.119)	.259^* (.119)	.289^* (.120)	.258^* (.115)	.237^* (.117)	.274^* (.118)
Years in U.S.	.020^* (.007)	.017^* (.007)	.019^* (.007)	.021^* (.007)	.015^* (.007)	.019^* (.006)	.017^* (.007)	.012 (.007)
Level of Acculturation	.037^* (.020)	−.008 (.025)	.033^* (.021)	−.101 (.073)	.057 (.094)	.037^* (.020)	.109^** (.042)	.050 (.048)
Age at Marriage	.060^*** (.016)	.052^*** (.016)	.027 (.019)	.036⁺ (.019)	.033 (.024)	.060^*** (.016)	.057^*** (.016)	.051^*** (.016)
Number of Children	.098 (.082)	.097 (.096)	.091 (.082)	.108 (.082)	.090 (.082)	.210^* (.151)	.249^* (.113)	.310^* (.165)
Female ^*Acculturation		.104^** (.037)	−	−	−.249⁺ (.144)	−	−	.137⁺ (.075)
Female ^* Age at Marriage			.075^** (.031)	−	−.001 (.038)	−	−
Age at Marriage ^* Acculturation				.005^* (.002)	−.003 (.003)	−	−
Female ^* Age at Marriage ^* Acculturation					.041^*** (.005)	−	−
Female ^* Number of Children						−.255⁺ (.153)	−	−.395⁺ (.259)
Number of Children ^* Acculturation							−.041^** (.015)	−.041⁺ (.025)
Female ^* Number of Children ^* Acculturation								−.032 (.029)
Intercept	.254 (.631)	.867 (.686)	1.454^* (.789)	1.126^* (.770)	1.873^* (.912)	.267 (.658)	.653 (.628)	.556 (.454)
Overdispersion parameter	1.902 (.091)	1.880 (.091)	1.885 (.091)	1.893 (.091)	1.838 (.092)	1.895 (.091)	1.889 (.084)	1.862 (.091)
Log-likelihood	−919.406	−915.886	−916.427	−917.456	−909.515	−918.400	−917.284	−912.778

Notes: Standard deviations in parentheses;

⁺

significant at .10;

significant at .05;

^**

significant at .01;

^***

significant at.001.