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. Author manuscript; available in PMC: 2012 Dec 4.
Published in final edited form as: Adolesc Fam Health. 2009;4(3):95–111.

TABLE 1.

Demographic and Key Variable Characteristics of Adolescents by Smoking Stage

Total Sample
(N = 16,796)		 1:Never
Smoked
(N = 7,392)		 2:Experimenter
(N = 4,624)		 3:Intermittent
(N = 2,830)		 4:Reg/
estab
(N = 1,515)		 5:Ex-
Smoker
(N = 435)
Variable N % % % % % %
Race
 White 8963 53 .36 38 .63 25 .39 19 .75 13 .03 3 .20
 Black 3658 21 .78 55 .69 30 .70 10 .88 1 .69 1 .04
 Hispanic 2739 16 .31 45 .38 30 .38 16 .28 5 .55 2 .41
 Asian 927 5 .52 51 .24 27 .62 12 .94 5 .72 2 .48
 Other 500 2 .98 33 .80 27 .20 19 .00 16 .00 4 .00
Age
 < = 16 years old 8159 48 .58 50 .04 26 .88 15 .61 5 .42 2 .05
 > 16 yearsold 8632 51 .39 38 .28 28 .16 18 .03 12 .43 3 .10
Gender
 Male 8316 49 .51 43 .88 26 .94 17 .27 9 .46 2 .45
 Female 8480 50 .49 44 .14 28 .11 16 .44 8 .58 2 .72
Peer Smoking
 No peers who smoke 9242 55 .03 58 .34 30 .83 7 .83 1 .10 1 .89
 1 peer who smokes 3423 20 .38 35 .47 30 .41 24 .63 6 .02 3 .48
 2 peers who smoke 1949 11 .60 20 .99 22 .63 31 .97 20 .06 4 .36
 3 peers who smoke 2005 11 .94 13 .72 11 .72 31 .47 40 .40 2 .69
Maternal Smoking
 No 8540 50 .85 51 .07 26 .74 14 .33 5 .40 2 .46
 Yes 7978 47 .50 36 .71 28 .39 19 .44 12 .74 2 .72
Paternal Smoking
 No 5978 35 .59 51 .32 26 .16 14 .45 5 .64 2 .43
 Yes 9193 54 .73 39 .91 28 .00 18 .54 10 .70 2 .85
Parental Control
 < = 4 4913 29 .25 52 .03 26 .36 14 .49 5 .17 1 .95
 = 5 3448 20 .53 45 .71 28 .07 17 .02 6 .93 2 .26
 > = 6 8174 48 .67 38 .65 28 .11 18 .24 11 .95 3 .05
Parental Involvement
 < = 3 4777 28 .64 44 .71 27 .97 15 .60 9 .13 2 .60
4 -5 5818 34 .64 43 .12 27 .21 17 .31 9 .68 2 .68
> = 6 5112 30 .44 46 .19 27 .66 17 .45 6 .49 2 .21
Maternal-Adolescent Activities
 0 5723 34 .07 49 .33 27 .29 14 .99 6 .10 2 .29
 > = 1 10889 64 .83 41 .22 27 .73 17 .84 10 .50 2 .71
Paternal-Adolescent
Activities
 0 8048 47 .92 46 .24 27 .31 16 .33 7 .77 2 .36
 > = 1 6849 41 .05 41 .53 27 .55 17 .97 10 .05 2 .90

Note: Percentages may not add up to 100% due to missing data as well as rounding errors. Quartiles of quasicontinuous variables may not contain exactly 25% of the sample because of ‘clumping’.