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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Prev Med. 2016 Sep 7;93:14–20. doi: 10.1016/j.ypmed.2016.09.011

Table 2.

Reasonsa for using E-cigarettes by sociodemographic characteristics among current E-cigarette users,b National Online Sample of U.S. adults (2014).

Sociodemographic
characteristic
n Weighted point estimates [95% Confidence Interval] (N = 2442)
Cessation/
Health
Consideration of
others
Convenience Cost Curiosity Flavoring Simulation of
cigarettes
Overall 2442 84.5%
[82.1–86.8]
71.5%
[68.8–74.1]
56.7%
[53.8–59.5]
34.3%
[31.6–37.0]
45.2%
[42.3–48.0]
34.4%
[31.6–37.2]
27.8%
[25.3–30.2]
Age P = 0.001 c P = 0.152 P = 0.175 P = 0.058 P = 0.718 P < 0.001 P = 0.067
 18–24 138 72.5%
[64.1–80.8]
64.6%
[55.5–73.6]
54.7%
[45.5–64.0]
32.1%
[23.7–40.5]
45.4%
[36.3–54.6]
45.5%
[36.4–54.6]
21.6%
[14.5–28.8]
 25–34 315 84.7%
[79.9–89.6]
75.2%
[69.8–80.7]
54.9%
[48.6–61.2]
41.1%
[34.9–47.3]
47.2%
[40.8–53.5]
40.2%
[34.0–46.5]
27.1%
[21.6–32.6]
 35–54 968 88.7%
[86.4–91.0]
72.9%
[69.7–76.2]
59.8%
[56.3–63.3]
31.9%
[28.5–35.2]
44.5%
[41.0–48.1]
29.8%
[26.5–33.1]
29.7%
[26.4–33.0]
 ≥55 1021 88.8%
[86.7–91.0]
70.3%
[67.1–73.5]
54.5%
[51.1–58.0]
31.8%
[28.6–35.0]
43.1%
[39.7–46.5]
22.5%
[19.6–25.4]
31.7%
[28.5–35.0]
Sex P = 0.805 P = 0.407 P =0.418 P = 0.168 P = 0.199 P = 0.198 P = 0.739
 Female 966 84.2%
[80.7–87.7]
70.5%
[66.5–74.6]
57.7%
[53.4–62.0]
35.9%
[31.8–39.9]
46.7%
[42.4–51.0]
35.9%
[31.7–40.1]
27.4%
[23.7–31.1]
 Male 1476 84.8%
[82.0–87.6]
72.7%
[69.5–75.8
55.4%
[52.0–58.8]
32.2%
[29.0–35.4]
43.1%
[39.8–46.5]
32.4%
[29.2–35.7]
28.2%
[25.3–31.2]
Race/Ethnicity P = 0.018 P = 0.275 P = 0.047 P = 0.132 P = 0.964 P = 0.371 P = 0.086
 White 1987 87.1%
[84.8–89.4]
72.6%
[69.8–75.4]
59.3%
[56.3–62.4]
36.1%
[33.1–39.2]
45.0%
[41.9–48.1]
35.7%
[32.6–38.9]
29.8%
[27.0–32.6]
 Black 140 73.2%
[61.8–84.5]
65.6% [54.5–76.6] 48.6%
[37.3–59.9]
33.4%
[22.3–44.5]
44.4%
[33.3–55.6]
27.4%
[17.0–37.8]
24.9%
[15.6–34.2]
 Hispanic 165 82.3%
[73.6–91.0]
64.9%
[54.7–75.0]
46.9%
[36.7–57.1]
25.8%
[17.4–34.1]
44.6%
[34.3–54.9]
30.4%
[21.1–39.8]
22.4%
[14.2–30.6]
 Other 150 76.6%
[66.9–86.4]
75.5%
[65.9–85.2]
55.7%
[45.0–66.3]
31.9%
[22.3–41.5]
47.8%
[37.2–58.4]
34.9%
[24.6–45.1]
21.7%
[14.3–29.2]
Education P = 0.040 P = 0.004 P =0.352 P = 0.453 P = 0.326 P = 0.419 P = 0.106
 Less than high school 157 78.4%
[69.3–87.4]
61.6%
[51.6–71.6]
56.0%
[45.8–66.1]
28.8%
[19.9–37.7]
43.0%
[32.9–53.1]
33.6%
[24.2–42.9]
28.1%
[19.5–36.7]
 High school graduate 616 82.5%
[78.3–86.8]
69.0%
[64.1–73.9]
54.2%
[49.0–59.4]
33.8%
[28.9–38.8]
44.1%
[39.0–49.3]
34.6%
[29.4–39.7]
24.9%
[20.6–29.1]
 Some college 1154 88.3%
[85.6–91.1]
75.5%
[72.2–78.8]
59.6%
[55.9–63.3]
36.4%
[32.7–40.1]
45.6%
[41.8–49.4]
35.7%
[31.9–39.5]
29.1%
[25.7–32.6]
 College graduate or higher 512 85.1%
[80.5–89.7]
78.0%
[73.3–82.6]
55.5%
[49.9–61.1]
35.5%
[30.1–40.8]
50.6%
[45.0–56.1]
30.2%
[25.0–35.4]
33.3%
[28.0–38.5]
Household Income P = 0.005 P = 0.096 P = 0.027 P = 0.468 P = 0.515 P = 0.200 P = 0.871
 <$20,000 471 82.2%
[76.8–87.6]
67.3%
[61.3–73.3]
58.4%
[52.1–64.6]
36.9%
[30.8–43.0]
47.9%
[41.6–54.2]
34.7%
[28.6–40.7]
28.4%
[22.9–34.0]
 $20,000–49,999 809 82.1%
[77.5–86.6]
70.0%
[65.3–74.7]
50.7%
[45.8–55.6]
32.7%
[28.3–37.1]
43.3%
[38.4–48.1]
30.2%
[25.9–34.6]
26.8%
[22.9–30.8]
 $50,000–99,999 802 90.0%
[86.9–93.1]
74.8%
[70.2–79.5]
59.7%
[54.7–64.7]
35.4%
[30.5–40.3]
44.0%
[38.9–49.2]
37.6%
[32.3–42.8]
28.6%
[24.1–33.0]
 ≥$100,000 278 81.2%
[74.2–88.3]
76.8%
[70.0–83.6]
62.2%
[54.2–70.1]
30.1%
[22.7–37.6]
48.9%
[40.7–57.0]
34.6%
[26.5–42.8]
30.1%
[22.5–37.8]
Region P = 0.676 P = 0.504 P = 0.627 P = 0.458 P = 0.279 P = 0.002 P = 0.578
 Northeast 377 84.6%
[78.7–90.5]
73.1%
[66.6–79.5]
57.5%
[50.5–64.4]
29.6%
[22.9–36.3]
51.6%
[44.5–58.7]
24.6%
[18.8–30.4]
31.9%
[25.1–38.6]
 Midwest 680 85.5%
[81.1–89.9]
71.1%
[66.2–76.1]
55.2%
[49.8–60.6]
33.6%
[28.6–38.6]
43.2%
[37.9–48.5]
33.3%
[28.1–38.6]
26.1%
[21.7–30.6]
 South 932 85.5%
[82.0–89.0]
73.3%
[69.2–77.4]
58.8%
[54.3–63.3]
35.9%
[31.5–40.3]
44.7%
[40.2–49.3]
38.9%
[34.3–43.5]
27.3%
[23.4–31.2]
 West 449 81.3%
[75.1–87.4]
67.3%
[60.4–74.2]
54.0%
[47.0–61.0]
35.5%
[29.0–42.0]
43.7%
[36.8–50.5]
34.4%
[27.7–41.0]
27.5%
[21.8–33.2]
Children in household P = 0.405 P = 0.458 P = 0.611 P = 0.186 P = 0.786 P = 0.096 P = 0.086
 No 1736 85.3%
[82.5–88.1]
70.5%
[67.3–73.8]
57.2%
[53.8–60.7]
35.7%
[32.3–39.0]
44.8%
[41.4–48.2]
32.3%
[28.9–35.7]
29.3%
[26.3–32.4]
 Yes 698 83.2%
[79.1–87.3]
72.6%
[68.1–77.2]
55.7%
[50.8–60.5]
31.9%
[27.5–36.4]
45.6%
[40.7–50.5]
37.2%
[32.5–41.9]
24.9%
[20.9–28.9]
Smoking status P = 0.036 P = 0.121 P = 0.002 P = 0.918 P = 0.020 P = 0.835 P = 0.596
 Nonsmoker 153 72.5%
[60.5–84.4]
62.0%
[49.3–74.7]
39.2%
[27.3–51.0]
34.8%
[23.6–46.1]
32.3%
[20.9–43.7]
33.3%
[22.8–43.9]
25.4%
[16.3–34.5]
 Current smoker 2289 85.4%
[83.1–87.8]
72.2%
[69.5–74.9]
58.1%
[55.2–61.0]
34.2%
[31.5–37.0]
46.2%
[43.3–49.1]
34.5%
[31.6–37.4]
28.0%
[25.4–30.5]
Cigarettes per day P = 0.155 P = 0.019 P < 0.001 P = 0.050 P = 0.145 P = 0.009 P = 0.006
 0 cigarettes 153 72.5%
[60.5–84.4]
62.0%
[49.3–74.7]
39.2%
[27.3–51.0]
34.8%
[23.6–46.1]
32.3%
[20.9–43.7]
33.3%
[22.8–43.9]
25.4%
[16.3–34.5]
 1–10 cigarettes 1023 86.5%
[83.2–89.9]
75.1%
[71.3–79.0]
53.3%
[49.0–57.7]
38.1%
[33.9–42.3]
46.5%
[42.2–50.9]
39.3%
[34.9–43.6]
31.0%
[27.1–34.9]
 11–19 cigarettes 488 83.7%
[77.8–89.6]
73.1%
[67.1–79.1]
59.1%
[52.8–65.4]
30.2%
[24.2–36.2]
46.0%
[39.5–52.6]
28.8%
[22.6–35.0]
20.0%
[15.3–24.8]
 20+ cigarettes 767 85.2%
[81.6–88.9]
66.6%
[62.0–71.3]
65.9%
[61.4–70.5]
30.4%
[26.0–34.7]
45.6%
[40.8–50.4]
29.7%
[25.2–34.3]
28.0%
[23.7–32.3]
Device type P < 0.001 P = 0.004 P = 0.840 P < 0.001 P = 0.328 P < 0.001 P = 0.009
 Disposable 558 80.0%
[74.9–85.1]
65.0%
[59.1–70.8]
58.0%
[52.0–64.0]
19.6%
[14.9–24.2]
49.1%
[43.1–55.2]
20.6%
[15.5–25.6]
23.3%
[18.5–28.2]
 Cartridges 1081 81.5%
[77.5–85.6]
70.7%
[66.6–74.9]
55.8%
[51.4–60.2]
26.1%
[22.2–30.1]
43.8%
[39.5–48.2]
26.6%
[22.5–30.6]
26.0%
[22.5–29.6]
 Tanks 796 91.0%
[88.0–94.1]
77.0%
[72.8–81.1]
57.0%
[52.2–61.7]
54.1%
[49.3–58.9]
44.0%
[39.2–48.8]
53.3%
[48.5–58.1]
33.0%
[28.6–37.5]
a

Respondents could provide multiple reasons for use.

b

Data are weighted to match demographic (age, gender, race, education) distributions of current e-cigarette users in 2013–2014 National Adult Tobacco Survey.

c

Bold P-values indicate statistically significant variance in reasons estimates across demographic categories