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. Author manuscript; available in PMC: 2021 Jan 1.
Published in final edited form as: Prev Med. 2019 Nov 21;130:105898. doi: 10.1016/j.ypmed.2019.105898

Table 2.

The association of residential location with e-cigarette information seeking, perceived harmfulness, and ever use from HINTS-FDA respondents ≥ 18 years of age.a

Survey Question (Outcome) Urban participants N=3304 (85.22%b) Rural participants N=925 (14.78%b) Adjusted Modelc (Urban ref)

Responding Affirmatively N (%d) Total Respondents N Responding Affirmatively N(%d) Total Respondents N OR (95% CI)
Tobacco Smoking and E-Cigarette Vaping History

Ever Tobacco Smokers 1397 (38.12) 3251 464 (51.26) 906 1.38 (1.09 – 1.75)
Have a history of e-cigarette use 510 (23.93) 3269 169 (23.43) 916 0.92 (0.60 – 1.41)

Perceived Harm

E-cigarettes are harmful to a person’s health 206 (7.61) 2905 79 (9.12) 816 0.89 (0.53 – 1.50)
E-cigarettes are addictive 170 (11.17) 1955 46 (14.42) 522 0.67 (0.36 – 1.24)
E-cigs are more harmful than smoking cigarettes 136 (6.57) 3234 41 (5.13) 901 0.87 (0.36 – 2.06)

E-cigarette Information Seeking Behavior

Looked for info on electronic cigarette 453 (15.50) 3282 125 (15.90) 917 1.01 (0.69 – 1.48)
Looked for Health effects/cessation 412 (13.98) 3304 115 (14.05) 925 0.99 (0.68 – 1.46)
Looked for Health effects/cessation recently 262 (8.84) 3228 66 (7.48) 898 0.85 (0.52 – 1.39)

Trust Health Info About E-Cigarettes From:

Healthcare professional 3066 (95.13) 3228 855 (96.34) 897 1.48 (0.85 – 2.56)
Family/Friends 2519 (80.32) 3217 721 (79.57) 896 0.95 (0.66 – 1.37)
Government health agencies 2978 (92.26) 3225 824 (92.97) 899 1.21 (0.81 – 1.81)
Health orgs/groups 3006 (93.90) 3213 828 (94.44) 894 1.20 (0.74 – 1.95)
Religious org/leaders 1649 (53.58) 3210 529 (61.17) 896 1.35 (1.02 – 1.81)
Tobacco Companies 883 (31.81) 3225 305 (38.89) 899 1.31 (0.99 – 1.73)
E-cig Companies 904 (34.93) 3227 293 (36.84) 899 1.03 (0.79 – 1.35)

Abbreviations: HINTS, Health Information National Trends Survey; OR, odds ratio; CI, Confidence Interval.

a

All analyses survey weight adjusted.

b

Weighted proportion.

c

Models adjusted for age, gender, race, and income.

d

Weighted proportion for within strata.