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. Author manuscript; available in PMC: 2020 Nov 1.
Published in final edited form as: Int J Drug Policy. 2019 Jul 23;73:81–87. doi: 10.1016/j.drugpo.2019.07.005

Table 1.

Sample characteristics and demographic correlates of reporting an adverse drug effect in the past year

Bivariable Comparisons Multivariable Model

Full Sample, Weighted % (n) No Adverse Drug Effect, Weighted % Adverse Drug Effect, Weighted % aPR (95% CI)
Age
 18–24 49.5 (504) 69.6* 30.4 1.00
 25–40 50.5 (525) 63.4 36.6 1.07 (0.83, 1.39)
Sex
 Male 61.3 (604) 62.6* 37.4 1.00
 Female 38.7 (425) 72.8 27.2 0.68 (0.46, 1.01)
Race/Ethnicity
 White 43.9 (494) 62.0 38.0 1.00
 Black 10.0 (84) 64.1 35.9 0.97 (0.39, 2.41)
 Hispanic 22.1(207) 67.8 32.2 0.88 (0.67, 1.15)
 Asian 15.4 (159) 75.8 24.2 0.69* (0.49, 0.98)
 Other/Mixed 8.5 (85) 72.7 27.3 0.72 (0.41, 1.28)
Education
 Less than College 41.4 (379) 70.9* 29.1 1.00
 College Degree 58.6(650) 63.4 36.6 1.28* (1.01, 1.63)
Weekly Income
 $0-$499 33.8 (368) 68.1 31.9 1.00
 $500-$999 37.5 (377) 65.0 35.0 1.01 (0.65, 1.56)
 >$1,000 28.7 (284) 66.5 33.5 0.87 (0.56, 1.39)
Sexual Orientation
 Heterosexual 81.5 (786) 68.5 31.5 1.00
 Gay/Lesbian 11.8 (108) 58.4 41.6 1.21 (0.82, 1.79)
 Bisexual 5.7 (101) 61.2 38.8 1.39 (0.74, 2.59)
 Other Sexuality 0.9 (34) 29.5 70.5 2.43** (1.68, 3.53)

Note. The outcome variable indicates the third (33.5%) of individuals estimated to have experienced an adverse effect from a drug in the past year. aPR = adjusted prevalence ratio; CI = confidence interval.

*

p < .05

**

p < .001