Table 4.
Results of multivariable logistic regression models for health information seeking domain outcomes (N = 4817).
| Sociodemographics | Look for Health or Medical Information for Self | Look for Health or Medical Information for Someone Else | ||
|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |
| Sex (ref: Male) | ||||
| Female | 1.14 | 0.87, 1.49 | 1.74 | 1.39, 2.18 *** |
| Age Group (ref: 18–34) | ||||
| 35–49 | 0.77 | 0.48, 1.25 | 1.06 | 0.75, 1.50 |
| 50–64 | 0.47 | 0.30, 0.75 ** | 0.62 | 0.45, 0.85 ** |
| 65–74 | 0.32 | 0.19, 0.52 *** | 0.33 | 0.22, 0.48 *** |
| >75 | 0.21 | 0.11, 0.38 *** | 0.29 | 0.16, 0.51 *** |
| Race/Ethnicity (ref: non-Hispanic White) | ||||
| Non-Hispanic Black | 0.87 | 0.56, 1.34 | 0.85 | 0.60, 1.19 |
| Hispanic | 0.87 | 0.58, 1.29 | 0.87 | 0.66, 1.16 |
| Other | 0.95 | 0.58, 1.55 | 1.31 | 0.91, 1.87 |
| Education Level (ref: College Graduate or more) | ||||
| ≤than High School | 0.45 | 0.33, 0.62 *** | 0.67 | 0.49, 0.93 * |
| Some College | 0.69 | 0.49, 0.99 * | 0.95 | 0.72, 1.25 |
| Annual household income (USD) (ref: >75,000) | ||||
| Less than 20,000 | 0.67 | 0.37, 1.23 | 0.55 | 0.36, 0.86 ** |
| 20,000 to < 35,000 | 0.67 | 0.43, 1.06 | 0.73 | 0.47, 1.15 |
| 35,000 to < 50,000 | 1.05 | 0.67, 1.63 | 1.05 | 0.73, 1.49 |
| 50,000 to < 75,000 | 1.03 | 0.72, 1.47 | 0.79 | 0.60, 1.05 |
| US Born (ref: Born in US) | ||||
| No | 0.89 | 0.60, 1.32 | 1.09 | 0.77, 1.55 |
| Smoking Status (ref: Never Smoker) | ||||
| Current | 0.71 | 0.46, 1.09 | 1.05 | 0.72, 1.53 |
| Former | 0.95 | 0.71, 1.27 | 1.01 | 0.79, 1.29 |
| Home Ownership (ref: Own) | ||||
| Rent or occupied without rent | 1.18 | 0.85, 1.64 | 0.97 | 0.74, 1.26 |
| Ever diagnosed as having cancer (ref: Yes, history of cancer) | ||||
| No | 0.55 | 0.40, 0.76 *** | 0.70 | 0.54, 0.90 ** |
| Any family members ever had cancer (ref: Yes, history of cancer) | ||||
| No | 0.81 | 0.61, 1.07 | 0.76 | 0.59, 0.99 * |
| Survey Release (ref: HINTS 4 cycle 3) | ||||
| HINTS 5 cycle 1 | 1.23 | 0.86, 1.75 | 1.03 | 0.78, 1.35 |
The results were obtained using a multivariable logistic regression model. We present the result using OR (95%CI). * p-value ≤ 0.05, ** p-value ≤ 0.01, and *** p-value ≤ 0.001.