Table 3.

Poisson regression models depicting the effects of neighborhood crime and 5-HTTLPR on depressive symptoms (N = 99).

	Depressive symptoms
	Model 1		Model 2		Model 3		Model 4
	b	OR	b	OR	b	OR	b	OR
Neighborhood crime	.153 (.024) **	1.165	.061 (.026) *	1.063	.002 (.032)	1.002	.020 (.031)	1.020
5-HTTLPR (1 = ss/sl)	.053 (.055)	1.054	.104 (.057) †	1.110	.081 (.058)	1.084	.053 (.056)	1.054
Neighborhood crime × 5-HTTLPR					.195 (.054) **	1.215	.096 (.054) †	1.101
5-HTT Methylation							.233 (.046) **	1.262
Control variables
Cigarette consumption			.010 (.003) **	1.010	.009 (.003) **	1.009	.005 (.004)	1.005
Age (mean centering)			.005 (.003)	1.005	.006 (.003) †	1.006	.004 (.003)	1.004
Single relationship			.133 (.065) *	1.142	.128 (.064) *	1.137	.158 (.065) *	1.171
Education (≤ high school)			.329 (.064) **	1.390	.334 (.064) **	1.397	.286 (.066) **	1.331
Income (≤ $25,000/yr)			−.037 (.063)	.964	−.040 (.063)	.961	−.055 (.064)	0.946
Residence history			−.004 (.062)	.996	−.024 (.062)	.976	−.027 (.062)	0.973
Neighborhood disadvantage			.010 (.029)	1.010	.021 (.029)	1.021	.020 (.029)	1.020
Prior depressive symptoms			.119 (.012) **	1.1	.129 (.012) **	1.138	.131 (.012) **	1.140
Constant	2.652 (.033) **	14.182	1.663 (.096) **	5.275	1.605 (.097) **	4.978	1.621 (.098) **	5.058
−2LL	1161.99		996.73		984.20		974.20
Δ chi-square (df = 1)			165.26**		12.53 **		10.00 **
Statistical power for G × E					96.70%

Notes: Unstandardized (b) and OR = Odds Ratio shown with robust standard errors in parentheses; neighborhood crime is standardized by z-transformation (mean = 0 and SD =1).

^†p ≤ .10,

^*p ≤ .05,

^**p ≤ .01 (two-tailed tests).