Table 4.
Regression models depicting the effects of neighborhood crime and 5-HTTLPR on 5-HTT Methylation (N = 99).
|
5-HTT Methylation
|
||||||||
|---|---|---|---|---|---|---|---|---|
| Model 1
|
Model 2
|
Model 3
|
Model 4
|
|||||
| b | β | b | β | b | β | b | β | |
| Neighborhood crime | .109 (.058) † | .185 | .078 (.056) | .132 | .083 (.058) | .142 | −.007 (.068) | −.012 |
| 5-HTTLPR (1 = ss/sl) | −.038 (.121) | −.031 | .029 (.114) | .024 | .030 (.113) | .024 | .030 (.110) | .025 |
| Neighborhood crime × 5-HTTLPR | .266 (.113) * | .257 | ||||||
| Control variables | ||||||||
| Cigarette consumption | .026 (.007) ** | .338 | .026 (.007) ** | .344 | .026 (.007) ** | .336 | ||
| Age (mean centering) | .014 (.007) * | .223 | .014 (.007) * | .225 | .015 (.007) * | .246 | ||
| Single relationship | −.150 (.132) | −.121 | −.151 (.132) | −.122 | −.153 (.129) | −.123 | ||
| Education (≤ high school) | .205 (.142) | .139 | .209 (.143) | .141 | .220 (.139) | .149 | ||
| Income (≤ $25,000/yr) | .110 (.125) | .092 | .106 (.126) | .088 | .100 (.123) | .083 | ||
| Residence history | −.021 (.122) | −.017 | −.022 (.122) | −.017 | −.032 (.119) | −.025 | ||
| Neighborhood disadvantage | .020 (.055) | .035 | .017 (.055) | .029 | .033 (.054) | .056 | ||
| Prior depressive symptoms | −.009 (.028) | −.033 | .001 (.028) | .004 | ||||
| Constant | .013 (.072) | .023 | −.171 (.098) † | −.294 | −.110 (.206) | −.176 (.202) | −.301 | |
| R-square | .035 | .196 | .197 | .239 | ||||
| Statistical power for G × E | 82.40% | |||||||
Notes: Unstandardized (b) and standardized (β) coefficients 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).