Table 4.
Summary of logistic regression analysis (n = 1,013)
| Variables | OR | 95% CI | Wald | d.f. | p |
|---|---|---|---|---|---|
| Age groups | |||||
| 19 – 39 years (ref.) | |||||
| 40 – 59 years | 0.93 | 0.64 – 1.33 | 0.18 | 1 | 0.675 |
| ≥60 years | 0.57 | 0.39 – 0.85 | 7.61 | 1 | 0.006 |
| Gender | |||||
| Male (ref.) or female | 0.94 | 0.69 – 1.27 | 0.18 | 1 | 0.668 |
| Race | |||||
| Non-White (ref.) or White | 2.08 | 1.34 – 3.21 | 10.81 | 1 | 0.001 |
| Education | |||||
| Less than college degree (ref.) | |||||
| College degree | 1.17 | 0.75 – 1.82 | 0.47 | 1 | 0.494 |
| Some graduate school | 1.60 | 1.05 – 2.45 | 4.72 | 1 | 0.030 |
| Doctoral degree | 1.39 | 0.81 – 2.39 | 1.40 | 1 | 0.237 |
| Income | |||||
| USD <40,000 (ref.) | |||||
| USD 40,000 – 99,000 | 0.93 | 0.58 – 1.48 | 0.10 | 1 | 0.755 |
| USD ≥100,000 | 0.90 | 0.57 – 1.43 | 0.20 | 1 | 0.654 |
| Numeracy | 1.71 | 1.29 – 2.26 | 13.93 | 1 | <0.001 |
| Genetic knowledge | 1.38 | 1.17 – 1.63 | 14.13 | 1 | <0.001 |
| Self-efficacy | 1.02 | 0.99 – 1.05 | 2.43 | 1 | 0.119 |
Data were adjusted for the respective company. A median split procedure was used to dichotomize the comprehension sum score (range: 0 – 11) into lower comprehension (below or equal to the median of 9; n = 588) or higher comprehension (above the median of 9; n = 442).
The reduced sample size in the regression model reflects missing data on income.