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. Author manuscript; available in PMC: 2010 Mar 2.
Published in final edited form as: Am J Health Behav. 2008 May–Jun;32(3):283–294. doi: 10.5555/ajhb.2008.32.3.283

Table 4.

Differences in psychosocial risk factors for tobacco use, by receptivity to tobacco advertising, among students in Project MYTRI(n=11642)a

NOT AT ALL RECEPTIVE (n=7465) MODERATELY RECEPTIVE (n=3438) HIGHLY RECEPTIVE (n=665)
Meanc SE Meanc SE Mean3 SE P-value
Intentions to use tobacco(chewing)b − 0.042 (0.025) 0.090 (0.027) 0.633 (0.044) < 0.01
Social susceptibility(chewing)b − 0.023 (0.028) 0.107 (0.031) 0.651 (0.046) < 0.01
Intentions to use tobacco(smoking)b − 0.076 (0.020) 0.061 (0.023) 0.713 (0.041) < 0.01
Social susceptibility(smoking)b − 0.057 (0.022) 0.074 (0.026) 0.640 (0.043) < 0.01
Reasons to use tobaccob − 0.095 (0.019) 0.130 (0.022) 0.839 (0.041) < 0.01
Normative beliefsb − 0.065 (0.023) 0.137 (0.026) 0.735 (0.043) < 0.01
Perceived prevalence(chewing)b − 0.026 (0.026) 0.079 (0.029) 0.214 (0.045) < 0.01
Perceived prevalence(smoking)b − 0.052 (0.019) 0.074 (0.023) 0.230 (0.042) < 0.01
a

Estimates generated from mixed-effects models adjusted for city, school type, gender, age, andgrade.

b

Scale scores are standardized. A higher score (eg, positive number) denotes more risk (or conversely, is less protective).

c

Estimate represents the mean score for each scale (eg, intentions to use tobacco), in a particular category of receptivity to advertising (eg, not at all receptive). A larger estimate (eg, positive number) denotes more risk (eg, more intentions to use tobacco) (or conversely, is less protective).