Table 1.
Multilevel Regression Models for Any and Number of Nicotine Dependence Symptoms (NDS)
| Any NDS | Number of NDS | ||||
|---|---|---|---|---|---|
| Variables | Coef. | (SE) | Coef. | (SE) | |
| Race/ethnicity | |||||
| Non-Hispanic White (reference) | |||||
| Non-Hispanic Black | −3.72 | (1.55) | −1.64 | (0.87) | |
| Hispanic | 2.66 | (0.97) | 0.77 | (0.42) | |
| Asian | −2.65 | (1.57) | −1.48 | (1.03) | |
| Another race/ethnicity | 0.11 | (0.90) | 0.11 | (0.52) | |
| Sex | |||||
| Female (reference) | |||||
| Male | −0.65 | (0.71) | −0.11 | (0.36) | |
| Regular vaping at basline (vs. not regular) | 4.54 | (1.03) | 1.82 | (0.39) | |
Notes. Days N = 878; Individual N = 148; weights were used for all estimates.
All statistically significant (p < .05) relationships are bolded.
Multilevel logistic regression models were used for any NDS, and multilevel negative binomial regression models were used for number of NDS.
For multilevel logistic regression models, coefficients represent log-odds. For multilevel negative binomial regression models, coefficients represent log of expected count.