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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Public Health. 2018 Oct 25;165:58–66. doi: 10.1016/j.puhe.2018.09.011

Table 3.

Negative binomial models of alcohol, nicotine, and cannabis use disorder symptoms at age 39, predicted by childhood neighborhood factors

Model 1 Model 2 Model 3 Model 4 Model 5
RR 95% CI RR 95% CI RR 95% CI RR 95% CI RR 95% CI
Alcohol
 ND 1.03 0.80, 1.32 0.94 0.72, 1.21 0.95 0.69, 1.30 0.90 0.70,1.15
 NS 0.74** 0.60, 0.93 0.73** 0.59, 0.92 0.73** 0.58, 0.92 0.58** 0.41,0.82
 ND × gender 0.96 0.62, 1.49
 NS × gender 1.49 0.95,2.34
Nicotine
 ND 1.05 0.86, 1.28 1.01 0.82, 1.25 0.70 0.53, 0.93 0.99 0.81,1.21
 NS 0.91 0.77, 1.09 0.92 0.76, 1.11 0.93 0.77, 1.13 1.23 0.92,1.65
 ND × gender 1.71** 1.26, 2.34
 NS × gender 0.59** 0.42,0.83
Cannabis
 ND 0.90 0.65, 1.25 0.86 0.62, 1.20 0.94 0.63, 1.40 0.88 0.63,1.24
 NS 0.77 0.59, 1.02 0.76* 0.57, 1.01 0.77* 0.58, 1.02 0.94 0.61,1.46
 ND × gender 0.79 0.47, 1.32
 NS × gender 0.66 0.39,1.13

Note. Sample sizes: alcohol (n = 599); nicotine (n = 604); cannabis (n = 608). Neighborhood disadvantage and stability measured at age 10. All models adjusted for earlier symptoms of psychopathology; earlier use of alcohol, tobacco, and cannabis; race; socioeconomic status at individual level; and gender. ND = neighborhood disadvantage; NS = neighborhood stability; RR = rate ratio; CI= confidence interval.

*

p < .10.

**

p < .05.