Table 1.
Oklahomans’ trust in health information from mass media sources by demographic and tobacco use variables (survey conducted in spring 2015; N=1001).
| Demographics | n (weighted %) | Mass media sources, n (weighted %) | |||||||||
| Trust in social media | Trust in internet | Trust in radio | Trust in television | ||||||||
| Overall | 1001 (100.00) | 110 (11.3) | 232 (24.0) | 199 (18.2) | 225 (20.9) | ||||||
| Gendera | |||||||||||
| Male | 457 (49.94) | 43 (10.6) | 84 (19.1) | 84 (15.8) | 84 (16.4) | ||||||
| Female | 540 (50.06) | 66 (11.9) | 146 (28.7) | 114 (20.5) | 140 (25.3) | ||||||
| Race/ethnicity | |||||||||||
| White | 725 (78.55) | 66 (10.1) | 148 (21.7) | 134 (16.9) | 148 (19.8) | ||||||
| Native American | 97 (9.48) | 14 (18.1) | 26 (31.5) | 26 (25.1) | 30 (29.9) | ||||||
| African American | 79 (7.77) | 13 (13.5) | 30 (37.7) | 19 (23.5) | 22 (21.4) | ||||||
| Hispanic | 65 (1.66) | 11 (12.1) | 18 (25.1) | 13 (19.9) | 18 (26.0) | ||||||
| Other | 25 (2.54) | 4 (15.6) | 7 (24.3) | 5 (18.1) | 5 (16.0) | ||||||
| Education | |||||||||||
| High school/GEDb | 307 (44.26) | 58 (16.3) | 80 (26.6) | 63 (17.9) | 80 (22.1) | ||||||
| Some college | 312 (26.51) | 27 (9.2) | 74 (26.7) | 61 (19.3) | 60 (19.5) | ||||||
| College degree | 369 (29.23) | 22 (5.7) | 73 (17.5) | 73 (18.0) | 83 (20.5) | ||||||
| Annual income (US$)c | |||||||||||
| <30,000 | 199 (16.91) | 36 (20.9) | 48 (25.9) | 42 (23.9) | 58 (27.1) | ||||||
| 30,000<60,000 | 249 (31.52) | 30 (14.4) | 75 (31.5) | 66 (20.6) | 61 (24.7) | ||||||
| ≥60,000 | 443 (51.56) | 29 (6.2) | 86 (19.8) | 71 (15.1) | 86 (17.7) | ||||||
| Children in household | |||||||||||
| Yes | 420 (46.78) | 47 (11.1) | 105 (25.3) | 91 (19.6) | 92 (20.1) | ||||||
| No | 571 (53.22) | 61 (11.4) | 123 (22.8) | 106 (17.1) | 131 (21.6) | ||||||
| Smoking status | |||||||||||
| Smoker | 181 (22.36) | 26 (16.4) | 33 (23.7) | 37 (19.9) | 42 (23.6) | ||||||
| Nonsmoker | 820 (77.64) | 84 (9.8) | 199 (24.1) | 162 (17.7) | 183 (20.1) | ||||||
| E-cigarette statusd | |||||||||||
| E-cigarette user | 79 (8.68) | 7 (16.1) | 11 (27.0) | 10 (16.6) | 11 (14.9) | ||||||
| Nonuser | 881 (91.32) | 102 (10.8) | 219 (23.6) | 187 (18.2) | 214 (21.5) | ||||||
| Smokeless statuse | |||||||||||
| Smokeless user | 66 (8.97) | 8 (18.0) | 13 (27.2) | 12 (15.5) | 12 (15.8) | ||||||
| Nonuser | 934 (91.03) | 102 (10.6) | 219 (23.7) | 186 (18.4) | 213 (21.4) | ||||||
aMultivariable logistic regression showed differences in gender for social media (P=.02), internet (P<.001), and television (P<.001).
bGED: General Education Diploma.
cMultivariable logistic regression showed differences in annual income for social media (P=.04), internet (P=.02), and television (P=.02).
dMultivariable logistic regression showed differences for radio by e-cigarette use status (P=.001).
eMultivariable logistic regression showed differences for radio by smokeless tobacco use status (P=.045).