Table 5
Multiple Logistic Regression Models Examining Internet Medical Information Use
| Model 1 OR (95% CI) | Model 2 OR (95% CI) | Model 3 OR (95% CI) | Model 4 OR (95% CI) | |
| Female | 1.46∗ (1.19, 1.78) | 1.43∗ (1.17, 1.75) | 1.60∗ (1.30, 1.98) | 1.46∗ (1.18, 1.81) |
| Age | ||||
| 18–24 yrs old | Ref. | Ref. | Ref. | Ref. |
| 25–34 yrs old | 1.59 (0.96, 2.62) | 1.39 (0.84, 2.31) | 1.33 (0.79, 2.22) | 1.23 (0.73, 2.08) |
| 35–44 yrs old | 1.42 (0.86, 2.34) | 1.25 (0.74, 2.09) | 1.20 (0.72, 2.02) | 1.10 (0.64, 1.87) |
| 45–54 yrs old | 1.57 (0.95, 2.59) | 1.44 (0.86, 2.42) | 1.40 (0.83, 2.36) | 1.25 (0.73, 2.13) |
| 55–64 yrs old | 2.18∗ (1.31, 3.62) | 1.96∗ (1.15, 3.35) | 1.99∗ (1.16, 3.41) | 1.75∗ (1.01, 3.04) |
| 65+ yrs old | 1.56 (0.91, 2.69) | 1.38 (0.78, 2.45) | 1.56 (0.88, 2.77) | 1.31 (0.72, 2.37) |
| Education | ||||
| High school or less | Ref. | Ref. | Ref. | Ref. |
| Some posthigh school | 0.86 (0.48, 1.56) | 0.86 (0.47, 1.57) | 0.78 (0.42, 1.45) | 0.71 (0.38, 1.33) |
| College plus | 1.09 (0.61, 1.97) | 1.07 (0.58, 1.99) | 0.87 (0.46, 1.64) | 0.77 (0.41, 1.47) |
| Race/ethnicity | ||||
| White | Ref. | Ref. | Ref. | Ref. |
| African American | 0.58∗ (0.45, 0.76) | 0.58∗ (0.44, 0.77) | 0.59∗> (0.45, 0.78) | 0.62∗ (0.46, 0.82) |
| Asian | 0.86 (0.40, 1.81) | 0.89 (0.41, 1.91) | 0.77 (0.36, 1.62) | 0.85 (0.40, 1.80) |
| Hispanic | 0.81 (0.44, 1.48) | 0.85 (0.46, 1.56) | 0.92 (0.50, 1.71) | 1.00 (0.53, 1.89) |
| Other | 1.18 (0.68, 2.07) | 1.23 (0.69, 2.18) | 1.30 (0.71, 2.35) | 1.31 (0.72, 2.38) |
| Marital status | ||||
| Never married | Ref. | Ref. | Ref. | Ref. |
| Married | 1.13 (0.84, 1.52) | 1.20 (0.89, 1.63) | 1.25 (0.92, 1.70) | 1.09 (0.79, 1.50) |
| Unmarried | 1.01 (0.71, 1.44) | 0.96 (0.66, 1.38) | 0.97 (0.67, 1.41) | 0.94 (0.64, 1.36) |
| Income | ||||
| ≤$24,999/yr | − | Ref. | Ref. | Ref. |
| $25,000–$34,999/yr | − | 1.15 (0.63, 2.12) | 1.18 (0.64, 2.18) | 1.28 (0.70, 2.34) |
| $35,000–$49,999/yr | − | 0.97 (0.57, 1.67) | 0.92 (0.54, 1.59) | 0.97 (0.57, 1.65) |
| $50,000–$74,999/yr | − | 1.08 (0.63, 1.85) | 0.96 (0.56, 1.65) | 0.99 (0.58, 1.70) |
| $75,000–$99,999/yr | − | 0.81 (0.46, 1.40) | 0.75 (0.43, 1.31) | 0.79 (0.46, 1.37) |
| $100,000–$149,999/yr | − | 1.07 (0.61, 1.89) | 0.93 (0.52, 1.66) | 0.96 (0.56, 1.70) |
| ≥$150,000/yr | − | 0.96 (0.54, 1.71) | 0.83 (0.46, 1.49) | 0.86 (0.48, 1.56) |
| Home ownership | − | 0.93 (0.69, 1.26) | 0.91 (0.67, 1.23) | 0.89 (0.65, 1.21) |
| Number of HH adults | − | 0.86 (0.75, 1.00) | 0.86 (0.75, 1.00) | 0.87 (0.75, 1.01) |
| Number of HH kids | − | 1.02 (0.92, 1.12) | 1.03 (0.93, 1.14) | 1.00 (0.90, 1.10) |
| Home broadband connection | − | − | 1.18 (0.92, 1.51) | 1.14 (0.89, 1.46) |
| Places accessed (past 30 days) | ||||
| Away from Home | − | − | Ref. | Ref. |
| Home | − | − | 0.79 (0.50, 1.25) | 0.73 (0.46, 1.29) |
| Home and work | − | − | 0.97 (0.61, 1.54) | 0.80 (0.50, 1.11) |
| Home computer ownership | − | − | 2.18∗ (1.36, 3.52) | 2.21∗ (1.36, 3.62) |
| Online time per week | ||||
| 4 hours or less | − | − | Ref. | Ref. |
| 5–9 hours | − | − | 1.57∗ (1.22, 2.04) | 1.67∗ (1.23, 2.16) |
| 10–19 hours | − | − | 1.87∗ (1.42, 2.47) | 1.85∗ (1.40, 2.45) |
| 20+ hours | − | − | 2.18∗ (1.66, 2.85) | 2.11∗ (1.60, 2.78) |
| Any hospital | − | − | − | 1.58∗ (1.24, 2.02) |
| Any medical facility | − | − | − | 1.60∗ (1.30, 1.97) |
| Any specialist | − | − | − | 1.50∗ (1.07, 2.10) |
| Any medications | − | − | − | 1.92∗ (1.16, 3.19) |
| Internet Rx purchases | − | − | − | 2.23∗ (1.61, 3.09) |
| Model-specific | ||||
| Wald χ2 statistic | χ2[14] = 63.31∗∗ | χ2[23] = 73.01∗∗ | χ2[30] = 146.71∗∗ | χ2[35] = 244.28∗∗ |
| AIC§ | 5,428,017.0 | 5,406,111.1 | 5,270,740.7 | 5,090,585.4 |
| −2Log likelihood test | n/A | χ2[9] = 21,923.9∗∗ | χ2[7] = 135,384.4∗∗ | χ2[5] = 180,165.3∗∗ |
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IMI = internet medical information; HH = household; OR = odds ratio; CI = confidence interval.
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↵∗ Confidence intervals (95% CI) not containing the null value (1.00) are statistically significant at p < 0.05.
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↵∗∗ p < 0.0001 for χ2 tests.
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↵§ The Akaike information criterion (AIC), a measure of statistical model fit, was used to compare the amount of information explained across the logistic regression models. A lower AIC value indicates a model is a better fit for the observed data.
