Table 2.
No recent e-cigarette use (0 days) % (n) |
Experimental e-cigarette use (1–2 days) % (n) |
Occasional e-cigarette use (3–9 days) % (n) |
Frequent/daily e-cigarette use (10+ days) % (n) |
|
---|---|---|---|---|
Sex (ES = 0.08) | ||||
Male | 45.9% (2854) | 53.1% (302) | 56.3% (226) | 66.5% (225) |
Female | 54.1% (3397) | 46.9% (279) | 43.7% (162) | 33.5% (113) |
Race/ethnicity (ES = 0.10) | ||||
Black | 13.5% (830) | 5.3% (34) | 3.0% (16) | 6.4% (23) |
White | 52.5% (3406) | 64.4% (383) | 62.1% (244) | 58.5% (210) |
Hispanic | 16.3% (1178) | 15.5% (107) | 13.9% (69) | 16.6% (60) |
Other/missing | 17.7% (1191) | 14.8% (108) | 21.0% (81) | 18.6% (72) |
Age (ES = 0.03) | ||||
Less than 18 years | 42.2% (2824) | 42.2% (257) | 39.0% (162) | 35.5% (127) |
18 years or older | 57.8% (3615) | 57.8% (346) | 61.0% (236) | 64.5% (226) |
Geographical region (ES = 0.06) | ||||
Northeast | 18.7% (1304) | 19.4% (130) | 14.5% (69) | 15.3% (66) |
Midwest | 19.7% (1580) | 26.5% (181) | 21.1% (103) | 20.3% (91) |
South | 39.6% (2379) | 31.7% (186) | 39.7% (142) | 35.5% (127) |
West | 22.1% (1342) | 22.4% (135) | 24.7% (96) | 28.9% (81) |
Metropolitan statistical area/urbanicity (ES = 0.07) | ||||
Large MSA | 28.2% (2012) | 27.8% (196) | 22.2% (110) | 24.8% (103) |
Other MSA | 49.6% (3083) | 54.6% (330) | 62.0% (239) | 62.2% (212) |
Non-MSA | 22.3% (1510) | 17.5% (106) | 15.8% (61) | 13.0% (50) |
Parental education (ES = 0.02) | ||||
No college | 25.2% (1677) | 22.6% (142) | 26.2% (106) | 26.7% (99) |
Some college | 67.7% (4454) | 70.4% (447) | 67.3% (281) | 64.7% (239) |
Don’t know/missing | 7.1% (474) | 7.0% (43) | 6.5% (23) | 8.6% (27) |
College plans (ES = 0.07) | ||||
Definitely will attend | 58.2% (3911) | 54.9% (352) | 47.1% (201) | 41.7% (159) |
Will not attend/other | 41.8% (2694) | 45.1% (280) | 52.9% (209) | 58.3% (206) |
Note: The bivariate associations between different categories of recent 30-day e-cigarette use (i.e., no e-cigarette-use, experimental use, occasional use, and frequent/daily use) and the demographic characteristics shown in Table 2 were as follows: sex (p < 0.0001), race/ethnicity (p < 0.0001), age (p = 0.132), geographical region (p < 0.01), metropolitan statistical area/urbanicity (p < 0.0001), parental education (p = 0.795), and college plans (p < 0.0001). 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.