Comparison of the alcohol drinking–cigarette smoking regression lines between Black and White individuals
| . | Age at first cigarette . | Cigarette pack years . |
|---|---|---|
| AUDIT total score | White: β = −3.04, F(1, 110) = 9.41, P = 0.002 Black: β = −0.01, F(1, 182) = 0.003, P = 0.95 Comparison: F(1, 292) = 7.60, P = 0.006 | White: β = 1.69, F(1, 574) = 187.90, P < 0.0001 Black: β = 1.34, F(1, 537) = 94.10, P < 0.001 Comparison: F(1, 1111) = 10.97, P = 0.001 |
| Age at first drink | White: β = 2.35, F(1, 106) = 17.99, P < 0.0001 Black: β = 1.92, F(1, 170) = 27.08, P < 0.0001 Comparison: F(1, 276) = 0.57, P = 0.45 | White: β = −0.58, F(1, 523) = 39.60, P < 0.0001 Black: β = −0.75, F(1, 484) = 26.37, P < 0.0001 Comparison: F(1, 1007) = 0.166, P = 0.68 |
| . | Age at first cigarette . | Cigarette pack years . |
|---|---|---|
| AUDIT total score | White: β = −3.04, F(1, 110) = 9.41, P = 0.002 Black: β = −0.01, F(1, 182) = 0.003, P = 0.95 Comparison: F(1, 292) = 7.60, P = 0.006 | White: β = 1.69, F(1, 574) = 187.90, P < 0.0001 Black: β = 1.34, F(1, 537) = 94.10, P < 0.001 Comparison: F(1, 1111) = 10.97, P = 0.001 |
| Age at first drink | White: β = 2.35, F(1, 106) = 17.99, P < 0.0001 Black: β = 1.92, F(1, 170) = 27.08, P < 0.0001 Comparison: F(1, 276) = 0.57, P = 0.45 | White: β = −0.58, F(1, 523) = 39.60, P < 0.0001 Black: β = −0.75, F(1, 484) = 26.37, P < 0.0001 Comparison: F(1, 1007) = 0.166, P = 0.68 |
For each bivariate association between alcohol drinking and cigarette smoking variables, a regression line was fitted for each group, using Deming regression, and the slopes of the two lines were compared between the two groups. The first two lines in each cell report the results in each group (White, Black), examining whether the slope of the respective regression line is significantly deviated from zero. The third line in each test reports the results of the comparison test, examining the difference between the slopes of the two regression lines.
Comparison of the alcohol drinking–cigarette smoking regression lines between Black and White individuals
| . | Age at first cigarette . | Cigarette pack years . |
|---|---|---|
| AUDIT total score | White: β = −3.04, F(1, 110) = 9.41, P = 0.002 Black: β = −0.01, F(1, 182) = 0.003, P = 0.95 Comparison: F(1, 292) = 7.60, P = 0.006 | White: β = 1.69, F(1, 574) = 187.90, P < 0.0001 Black: β = 1.34, F(1, 537) = 94.10, P < 0.001 Comparison: F(1, 1111) = 10.97, P = 0.001 |
| Age at first drink | White: β = 2.35, F(1, 106) = 17.99, P < 0.0001 Black: β = 1.92, F(1, 170) = 27.08, P < 0.0001 Comparison: F(1, 276) = 0.57, P = 0.45 | White: β = −0.58, F(1, 523) = 39.60, P < 0.0001 Black: β = −0.75, F(1, 484) = 26.37, P < 0.0001 Comparison: F(1, 1007) = 0.166, P = 0.68 |
| . | Age at first cigarette . | Cigarette pack years . |
|---|---|---|
| AUDIT total score | White: β = −3.04, F(1, 110) = 9.41, P = 0.002 Black: β = −0.01, F(1, 182) = 0.003, P = 0.95 Comparison: F(1, 292) = 7.60, P = 0.006 | White: β = 1.69, F(1, 574) = 187.90, P < 0.0001 Black: β = 1.34, F(1, 537) = 94.10, P < 0.001 Comparison: F(1, 1111) = 10.97, P = 0.001 |
| Age at first drink | White: β = 2.35, F(1, 106) = 17.99, P < 0.0001 Black: β = 1.92, F(1, 170) = 27.08, P < 0.0001 Comparison: F(1, 276) = 0.57, P = 0.45 | White: β = −0.58, F(1, 523) = 39.60, P < 0.0001 Black: β = −0.75, F(1, 484) = 26.37, P < 0.0001 Comparison: F(1, 1007) = 0.166, P = 0.68 |
For each bivariate association between alcohol drinking and cigarette smoking variables, a regression line was fitted for each group, using Deming regression, and the slopes of the two lines were compared between the two groups. The first two lines in each cell report the results in each group (White, Black), examining whether the slope of the respective regression line is significantly deviated from zero. The third line in each test reports the results of the comparison test, examining the difference between the slopes of the two regression lines.
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