Table 1.
Weighted estimates of demographic distributions for different categories of past-month e-cigarette use and cigarette smoking
| No recent 30-day use % (n) |
30-day e-cigarette use only % (n) |
30-day cigarette smoking only % (n) |
30-day dual use % (n) |
Overall sample % (n) |
|
|---|---|---|---|---|---|
| Sex (ES = 0.08) | |||||
| Male | 45.5% (2607) | 57.7% (446) | 49.9% (208) | 57.6% (298) | 47.8% (3559) |
| Female | 54.5% (3153) | 42.3% (331) | 50.1% (197) | 42.4% (219) | 52.2% (3900) |
| Race/ethnicity (ES = 0.12) | |||||
| Black | 13.6% (772) | 5.8% (51) | 9.7% (33) | 3.6% (20) | 11.9% (876) |
| White | 52.1% (3105) | 57.1% (449) | 62.4% (271) | 69.3% (379) | 54.4% (4204) |
| Hispanic | 16.6% (1108) | 18.6% (160) | 11.2% (53) | 11.1% (74) | 16.1% (1395) |
| Other/missing | 17.7% (1085) | 18.6% (158) | 16.7% (81) | 16.1% (98) | 17.6% (1422) |
| Age (ES = 0.06) | |||||
| Less than 18 years | 43.3% (2655) | 41.4% (339) | 29.2% (135) | 36.8% (201) | 41.8% (3330) |
| 18 years or older | 56.7% (3282) | 58.6% (456) | 70.8% (280) | 63.2% (344) | 58.2% (4362) |
| Geographical region (ES = 0.07) | |||||
| Northeast | 18.8% (1204) | 17.0% (153) | 16.5% (79) | 16.7% (109) | 18.4% (1545) |
| Midwest | 19.7% (1454) | 22.8% (214) | 20.2% (106) | 23.3% (153) | 20.3% (1927) |
| South | 38.8% (2134) | 33.8% (251) | 48.8% (204) | 37.1% (200) | 38.7% (2789) |
| West | 22.7% (1278) | 26.4% (200) | 14.5% (49) | 22.9% (109) | 22.6% (1636) |
| Metropolitan statistical area/ urbanicity (ES = 0.10) | |||||
| Large MSA | 28.6% (1867) | 26.7% (247) | 21.9% (110) | 23.5% (156) | 27.7% (2380) |
| Other MSA | 50.1% (2876) | 61.3% (473) | 42.2% (166) | 55.3% (297) | 51.1% (3812) |
| Non-MSA | 21.3% (1327) | 12.1% (98) | 35.9% (162) | 21.2% (118) | 21.2% (1705) |
| Parental education (ES = 0.04) | |||||
| No college | 24.6% (1508) | 23.5% (195) | 33.1% (141) | 26.0% (145) | 25.1% (1989) |
| Some college | 68.8% (4151) | 69.1% (573) | 58.3% (256) | 67.3% (388) | 68.0% (5368) |
| Don’t know/missing | 6.7% (411) | 7.4% (50) | 8.6% (41) | 6.6% (38) | 6.9% (540) |
| College plans (ES = 0.12) | |||||
| Definitely will attend | 60.3% (3717) | 56.8% (473) | 36.9% (157) | 38.7% (233) | 57.0% (4580) |
| Will not attend/other | 39.7% (2353) | 43.2% (345) | 63.1% (281) | 61.3% (338) | 43.0% (3317) |
Note: The bivariate associations between different categories of recent 30-day e-cigarette use and cigarette smoking (i.e., non-use, e-cigarette use only, cigarette smoking only, and dual use) and all demographic characteristics shown in Table 1 were significant: sex (p < 0.001), race/ethnicity (p < 0.001), age (p < 0.001), geographical region (p < 0.001), metropolitan statistical area/urbanicity (p < 0.001), parental education (p < 0.05), and college plans (p < 0.001). ES = Effect size (phi), based on the design-adjusted Rao-Scott chi-square test statistic and the nominal sample size used to test each association; 0.1 is considered small, 0.3 is considered moderate, and 0.5 is considered large.
Data source: 2014 Monitoring the Future Study, Forms 1, 2, 5 and 6.