Table 4.
Multiple logistic regression models assessing the association between different types of sport participation and past 30 day cigarette/e-cigarette use.
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n = 4453 weighted/n = 4450 unweighted | Cigarette smoking | E-Cigarette use | Dual use | Cigarette smoking only | E-Cigarette use only | ||||||||||
| Past year participation in sports | % | AOR | (95% CI) | % | AOR | (95% CI) | % | AOR | (95% CI) | % | AOR | (95% CI) | % | AOR | (95% CI) |
| Baseball/Softball | 10.8% | 0.78 | (.483,1.26) | 22.7% | 1.36 | (.974,1.90) | 7.2% | 0.88 | (.500,1.56) | 4.0% | 0.88 | (.443,1.73) | 16.6% | 1.74** | (1.20,2.51) |
| Basketball | 9.2% | 0.75 | (.496,1.15) | 17.1% | 0.90 | (.627,1.28) | 5.3% | 0.70 | (.428,1.13) | 3.9% | 0.93 | (.508,1.71) | 11.9% | 1.03 | (.673,1.56) |
| Cheerleading | 7.1% | 0.72 | (.367,1.42) | 12.5% | 0.84 | (.482,1.47) | 4.5% | 0.85 | (.282,2.53) | 2.6% | 0.53 | (.177,1.61) | 8.6% | 0.89 | (.472,1.69) |
| Cross Country | 8.6% | 0.84 | (.404,1.74) | 14.9% | 0.80 | (.448,1.41) | 5.0% | 0.78 | (.333,1.84) | 3.0% | 0.82 | (.316,2.13) | 9.4% | 0.78 | (.430,1.40) |
| Football | 13.5% | 0.81 | (.526,1.25) | 22.8% | 0.84 | (.571,1.22) | 8.4% | 0.79 | (.475,1.31) | 5.1% | 1.05 | (.528,2.08) | 14.6% | 0.96 | (.649,1.43) |
| Golf | 6.6% | 0.36 | (.157,.825) | 19.0% | 0.81 | (.505,1.29) | 4.2% | 0.41 | (.163,1.01) | 1.5% | 0.29 | (.084,1.01) | 15.1% | 1.23 | (.716,2.12) |
| Lacrosse | 20.0% | 1.53 | (.706,3.30) | 34.6% | 1.77 | (1.06,2.96) | 11.9% | 1.31 | (.559,3.08) | 7.8% | 1.75 | (.532,5.78) | 21.0% | 1.54 | (.867,2.75) |
| Soccer | 6.2% | 0.46** | (.274,.776) | 14.6% | 0.70 | (.491,1.003) | 3.1% | 0.37** | (.181,.753) | 2.9% | 0.71 | (.397,1.28) | 11.5% | 1.04 | (.700,1.55) |
| Swimming and Diving | 9.4% | 0.78 | (.422,1.44) | 19.1% | 0.99 | (.621,1.57) | 7.4% | 1.13 | (.578,2.20) | 1.8% | 0.41 | (.138,1.24) | 11.3% | 0.85 | (.526,1.39) |
| Tennis | 9.5% | 0.98 | (.484,1.96) | 17.6% | 0.99 | (.636,1.55) | 5.4% | 0.85 | (.418,1.74) | 3.1% | 1.00 | (.306,3.24) | 10.2% | 0.86 | (.480,1.52) |
| Track and Field | 7.8% | 0.81 | (.507,1.31) | 14.7% | 0.99 | (.671,1.46) | 4.1% | 0.69 | (.354,1.34) | 3.9% | 1.19 | (.609,2.32) | 10.9% | 1.21 | (.789,1.86) |
| Volleyball | 10.7% | 1.20 | (.704,2.05) | 15.0% | 0.87 | (.567,1.34) | 5.8% | 1.90 | (.578,2.06) | 5.3% | 1.36 | (.729,2.55) | 9.4% | 0.78 | (.464,1.30) |
| Wrestling | 24.4% | 2.91*** | (1.75,4.85) | 33.7% | 2.14** | (1.29,3.53) | 15.8% | 2.44** | (1.34,4.47) | 7.9% | 2.02 | (.862,4.73) | 18.6% | 1.53 | (.872,2.68) |
| Other Sport | 11.8% | 1.07 | (.776,1.48) | 19.7% | 1.14 | (.871,1.49) | 7.6% | 1.15 | (.789,1,62) | 4.2% | 1.00 | (.645,1.54) | 12.3% | 1.12 | (.840,1.49) |
p<.01**, p<.001***; % = percent (prevalence); AOR = adjusted odds ratio; 95% CI = 95% confidence interval
Note that the reference group for a specific sport (e.g., baseball) are all respondents who indicated not participating in that particular sport (e.g., baseball) during the past year.
All models control for sex, race, exercise frequency, cutting class, average grade in school, time away from home at night, work status, parental education, urbanicity (e.g., does respondent live in a MSA), region (e.g., does respondent live in the Northeast), past 30-day alcohol use, and past 30-day marijuana use. Please refer to Table 1 for more details on these control variables.
Results for E-cigarette use only/with no history of cigarette smoking and E-cigarette use only/with history of cigarette smoking can be provided upon request. Note that only baseball/softball reached statistical significance for E-cigarette use only/with no history of cigarette smoking (AOR = 2.26 95% CI = 1.37,3.71).