Table 3.

Regression outcomes predicting adolescent smoking status, smoking susceptibility, and readiness to quit smoking

	Conditional logistic regression predicting smoking status Full matched sample (n = 162)			Linear regression predicting smoking susceptibility Nonsmokers (n = 78)			Linear regression predicting readiness to quit smoking Smokers (n = 84)
Variable	ORa	[95% CI]	p	β	B (SE)	p	β	B (SE)	p
No. of people in network	0.94	[0.65, 1.36]	.73	-.15	-.03 (.02)	.17	-.002	-.001 (.04)	.99
% Peers in network	1.00	[0.95, 1.05]	.98	-.06	-.002 (.002)	.48	.13	.006 (.006)	.29
Average contact with network	0.70	[0.21, 2.38]	.57	-.04	-.03 (.08)	.75	.27	.46 (.21)	.04*
Social support (factor score)	0.76	[0.33, 1.76]	.52	.22	.08 (.05)	.10	-.04	-.04 (.12)	.73
Pervasiveness of smoking (factor score)	21.53	[4.08, 113.57]	<.001***	.38	.26 (.07)	<.001***	.07	.07 (.11)	.56
Support for smoking				.41	.33 (.09)	.001**	-.13	-.40 (.38)	.30
Support for quitting							.28	.49 (.23)	.04*

Notes: OR = odds ratio; CI = confidence interval; no. = number.

^aNonsmokers serve as the reference group; ns were lower in the multivariate analyses because data were missing not at random.

^*p < .05;

^**p < .01;

^***p < .001.