Table 2.

Regression Models with Complex Sampling Design Depicting the Results of Main and Moderating Effects

	Substance Usea				Allostatic Loadb
	Model a		Model b		Model c		Model d
	b (robust SE)	Odds Ratio	b (robust SE)	Odds Ratio	b (robust SE)	β	b (robust SE)	β
Neighborhood poverty	.476 (.571)	1.610	1.849* (.848)	6.353	1.030 (1.652)	.030	−2.650 (1.846)	−.076
College attendance (1 = in college)	−.462** (.151)	.630	.215 (.369)	1.240	−.432 (.359)	−.066	−2.396** (.782)	−.366
Neighborhood poverty × College attendance			−2.888* (1.424)	.056			8.423** (2.937)	.335
Control variables
Percentage of African American residents	.023 (.357)	1.023	−.004 (.356)	.996	−.650 (.779)	−.040	−.602 (.753)	−.037
SES-related risk	−.141† (.074)	.868	−.140† (.078)	.869	−.127 (.152)	−.039	−.106 (.147)	−.033
Males	.514** (.132)	1.672	.495** (.130)	1.640	.923** (.274)	.144	.949** (.274)	.148
Number of hours employed	.000 (.003)	1.000	.000 (.003)	1.000	.012 (.008)	.056	.013 (.008)	.062
Financial stress	.022 (.026)	1.022	.020 (.027)	1.020	−.038 (.050)	−.035	−.035 (.051)	−.032
Racial discrimination	.095** (.018)	1.100	.091** (.019)	1.095	−.019 (.040)	−.020	−.009 (.041)	−.010
Primary caregivers college attendance	−.051 (.148)	.950	−.064 (.150)	.938	−.273 (.309)	−.043	−.213 (.301)	−.033
Living with families	−.122 (.150)	.885	−.080 (.146)	.923	−.106 (.286)	−.017	−.124 (.285)	−.019
Constant	.008 (.383)	1.008	−.291 (.401)	.748	.298 (.697)		1.045 (.730)
Dispersion	1.120**		1.100**
−2LL	1571.416		1567.672
R2					.233		.247

Note:

^aA zero-inflated negative binominal regression with robust standards errors.

^bbOLS regression model with robust standard errors. SES = socioeconomic status.

N_(persons) = 452 and N_{(neighborhoods)} = 96.

^*p ≤ .05, two-tailed.

^**p ≤ .01, two-tailed.

^†p < .10, two-tailed.