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Tob Control 9:64-70 doi:10.1136/tc.9.1.64
  • Original article

Exposure of black youths to cigarette advertising in magazines

Table 3

Results from probit regression model: the effect of magazine readership characteristics on the probability of a cigarette brand advertising in a magazine

Independent variable3-151 Coefficient Standard error
% Black youth readers −0.957 0.728
δ 3-150 (% Black youth readers) 4.3893-160 1.808
% Young adult readers 3.6883-160 1.224
δ 3-150 (% Young adult readers) −1.804 2.705
% Female readers 0.8783-160 0.296
δ 3-150 (% Female readers) −0.849 0.704
% Hispanic readers −1.903 2.587
δ 3-150 (% Hispanic readers) 3.721 5.850
Total readers 40.7783-160 14.754
δ 3-150Total readers 3.066 33.893
% Smokers −0.674 1.938
δ 3-150 (% Smokers) 4.989 4.154
% Heavy smokers −0.062 5.553
δ 3-150 (% Heavy smokers) 13.555 13.074
% Menthol smokers −2.919 4.024
δ 3-150 (% Menthol smokers) −3.602 9.253
Cost of ad −905.8553-150 548.269
δ 3-150 Cost of ad −1023.603 1254.493
Total expenditures 58.9563-160 7.866
δ 3-150Total expenditures −17.063 35.559
Issues −0.004 0.006
δ 3-150Issues 0.0243-150 0.014
Income −0.105 0.284
δ 3-150 Income −1.7613-160 0.709
Constant 1.453 1.773
δ −0.355 0.725

  • ↵3-151 δ is 0 for non-black youth cigarette brands and 1 for black youth cigarette brands.

  • ↵3-150 Coefficient is significant at the 90% level (p < 0.10).

  • ↵3-160 Coefficient is significant at the 95% level (p < 0.05).

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