Table 4. Multivariable Multinomial Logistic Regression Models of Frequency of Use at Wave 2 Among Ever Users of Specified Product at Wave 1 of the Population Assessment of Tobacco and Health Study, by Age Group.
| Age Group | Participants, No. | No Past 12-mo Use | RRR (95% CI) | ||||
|---|---|---|---|---|---|---|---|
| Past 12-mo Use, No Past 30-d Use | 1-5 d in the Past 30 d | 6-19 d in the Past 30 d | 20-29 d in the Past 30 d | All 30 d in the Past 30 d | |||
| Youtha | |||||||
| First cigarette flavored | 1316 | 1 [Reference] | 1.47 (1.09-1.98) | 1.69 (1.20-2.40) | 1.22 (0.72-2.07) | 1.15 (0.61-2.18) | 1.61 (1.10-2.38) |
| First cigarette menthol or mint flavoredb | 1223 | 1 [Reference] | 1.60 (1.17-2.21) | 1.93 (1.32-2.83) | 1.33 (0.77-2.31) | 1.23 (0.65-2.32) | 1.88 (1.25-2.82) |
| First e-cigarette flavored | 1045 | 1 [Reference] | 1.26 (0.82-1.94) | 1.30 (0.78-2.16) | 1.40 (0.64-3.07) | 1.08 (0.21-5.71) | 2.85 (0.94-8.63) |
| Young adultsc | |||||||
| First cigarette flavored | 4109 | 1 [Reference] | 1.13 (0.90-1.41) | 1.24 (1.00-1.55) | 1.21 (0.93-1.57) | 1.26 (0.86-1.86) | 1.56 (1.27-1.93) |
| First cigarette menthol or mint flavoredb | 3925 | 1 [Reference] | 1.13 (0.89-1.44) | 1.21 (0.96-1.52) | 1.24 (0.95-1.63) | 1.30 (0.87-1.95) | 1.66 (1.33-2.06) |
| First e-cigarette flavored | 2622 | 1 [Reference] | 1.52 (1.21-1.92) | 1.61 (1.24-2.10) | 2.35 (1.27-4.34) | 0.81 (0.37-1.75) | 3.24 (2.16-4.86) |
| Adultsd | |||||||
| First cigarette flavored | 13 959 | 1 [Reference] | 1.34 (1.09-1.63) | 1.30 (1.07-1.58) | 1.22 (0.96-1.56) | 1.11 (0.86-1.43) | 1.23 (1.11-1.35) |
| First cigarette menthol or mint flavoredb | 13 594 | 1 [Reference] | 1.40 (1.14-1.73) | 1.36 (1.10-1.67) | 1.28 (1.00-1.63) | 1.15 (0.89-1.48) | 1.32 (1.20-1.45) |
| First e-cigarette flavored | 5188 | 1 [Reference] | 1.38 (1.19-1.61) | 1.25 (1.02-1.53) | 1.44 (1.03-2.01) | 2.09 (1.09-4.00) | 2.38 (1.90-3.00) |
Abbreviation: RRR, relative risk ratio.
Multivariable multinomial logistic regression models among youth were adjusted for sex, race/ethnicity, education, past 30-day alcohol, marijuana, or other drug use, and 3 Global Appraisal of Individual Needs–Short Screener (GAIN-SS) subscales (internalizing problems, externalizing problems, and substance use problems). Individuals who reported “don’t know” or refused to answer any of these items were treated as missing. Among youth ever tobacco users, data were missing for sex (0 participants [0.0%]), race/ethnicity (27 participants [1.5%]), education (114 participants [6.2%]), past 30-day alcohol, marijuana, or other drug use (47 participants [2.6%]), internalizing problems subscale (40 participants [2.2%]), externalizing problems subscale (67 participants [3.7%]), and substance use problems subscale (71 participants [3.9%]). Respondents who reported never alcohol, marijuana, or other drug use were categorized as non–past 30-day users.
A separate comparison was made between wave 1 cigarette smokers who first smoked a menthol or mint flavored cigarette vs smokers who first smoked a nonflavored cigarette. Individuals who reported first other flavored cigarette use were excluded from the denominator.
Multivariable multinomial logistic regression models among young adults were adjusted for age, sex, race/ethnicity, education, income, past 30-day alcohol, marijuana, or other drug use, and 3 GAIN-SS subscales (internalizing problems, externalizing problems, and substance use problems). Individuals who reported “don't know” or refused to answer any of these items were treated as missing. Among young adults, data were missing for age (0 participants [0.0%]), sex (0 participants [0.0%]), race/ethnicity (0 participants [0.0%]), education (0 participants [0.0%]), income (449 participants [9.5%]), past 30-day alcohol, marijuana, or other drug use (46 participants [1.0%]), internalizing problems subscale (42 participants [0.9%]), externalizing problems subscale (60 participants [1.3%]), and substance use problems subscale (83 participants [1.8%]). Respondents who reported never alcohol, marijuana, or other drug use were categorized as non–past 30-day users.
Multivariable multinomial logistic regression models among adults were adjusted for age, sex, race/ethnicity, education, income, past 30-day alcohol, marijuana, or other drug use, and 3 GAIN-SS subscales (internalizing problems, externalizing problems, and substance use problems). Individuals who reported “don’t know” or refused to answer any of these items were treated as missing. Among adults, data were missing for age (0 participants [0.0%]), sex (0 participants [0.0%]), race/ethnicity (0 participants [0.0%]), education (0 participants [0.0%]), income (1216 participants [7.6%]), past 30-day alcohol, marijuana, or other drug use (234 participants [1.5%]), internalizing problems subscale (185 participants [1.2%]), externalizing problems subscale (359 participants [2.3%]), and substance use problems subscale (411 participants [2.6%]). Respondents who reported never alcohol, marijuana, or other drug use were categorized as non–past 30-day users.