Table 3. Results for Logistic Regression Models Predicting Health Status Variables.
| OR (95% CI) | ||||||
|---|---|---|---|---|---|---|
| Have a Condition That Keeps You from Work | Have a Long-Term Illness (6 Months or More) | |||||
| Variables | Bivariate Analyses | Multivariate Model Without Literacy | Multivariate Model With Literacy | Bivariate Analyses | Multivariate Model Without Literacy | Multivariate Model With Literacy |
| Independent | ||||||
| Literacy | 0.89 (0.88 to 0.90)* | N/A | 0.90 (0.88 to 0.92) | 0.92 (0.91 to 0.93) | N/A | 0.96 (0.94 to 0.98) |
| Black‡ | 1.83 (1.58 to 2.14) | 1.54 (1.29 to 1.84) | 1.04 (0.85 to 1.26) | 1.42 (1.19 to 1.69) | 1.24 (1.03 to 1.49) | 1.07 (0.89 to 1.30) |
| Hispanic | 1.12 (0.85 to 1.49) | 1.20 (0.82 to 1.76) | 0.93 (0.63 to 1.14) | 0.77 (0.57 to 1.03) | 0.84 (0.58 to 1.21) | 0.75 (0.51 to 1.10) |
| Other race | 0.91 (0.59 to 1.42) | 1.36 (0.88 to 2.11) | 1.03 (0.63 to 1.67) | 0.50 (0.31 to 0.83) | 0.64 (0.41 to 1.02) | 0.57 (0.36 to 0.92) |
| Education | 0.56 (0.51 to 0.61) | 0.75 (0.69 to 0.82) | 0.99 (0.90 to 1.09) | 0.62 (0.58 to 0.66) | 0.84 (0.79 to 0.91) | 0.93 (0.85 to 1.02) |
| Control | ||||||
| Understand English | 1.62 (1.46 to 1.80) | 1.44 (1.21 to 1.70) | 1.16 (0.97 to 1.40) | 1.28 (1.14 to 1.45) | 1.15 (0.99 to 1.34) | 1.07 (0.92 to 1.25) |
| Born in U.S.A. | 1.31 (1.05 to 1.62) | 2.26 (1.55 to 3.29) | 3.10 (2.05 to 4.67) | 1.65 (1.27 to 2.14) | 1.83 (1.28 to 2.61) | 2.00 (1.40 to 2.88) |
| Unemployed | 1.28 (1.00 to 1.63) | 1.43 (1.07 to 1.91) | 1.41 (1.06 to 1.89) | 0.97 (0.76 to 1.24) | 1.17 (0.90 to 1.52) | 1.16 (0.90 to 1.51) |
| Family income | 0.86 (0.84 to 0.89) | 0.93 (0.89 to 0.97) | 0.96 (0.92 to 1.01) | 0.87 (0.85 to 0.89) | 0.86 (0.83 to 0.90) | 0.88 (0.84 to 0.91) |
| Income missing | 1.37 (1.16 to 1.63) | 0.80 (0.64 to 1.01) | 0.82 (0.64 to 1.03) | 1.15 (0.99 to 1.33) | 0.54 (0.45 to 0.66) | 0.55 (0.45 to 0.66) |
| Sex | 0.88 (0.76 to 1.02) | 1.01 (0.87 to 1.18) | 0.97 (0.84 to 1.13) | 0.94 (0.82 to 1.08) | 1.14 (0.98 to 1.35) | 1.14 (0.97 to 1.33) |
| Age | 1.04 (1.03 to 1.04) | 1.03 (.02 to 1.04) | 1.02 (1.01 to 1.02) | 1.05 (1.04 to 1.05) | 1.04 (1.04 to 1.05) | 1.04 (1.04 to 1.05) |
| Married | 0.79 (0.68 to 0.92) | 0.92 (0.77 to 1.10) | 0.97 (0.82 to 1.14) | 0.78 (0.69 to 0.88) | 0.90 (0.78 to 1.04) | 0.92 (0.80 to 1.05) |
| Get food stamps | 2.13 (1.81 to 2.50) | 1.65 (1.34 to 2.03) | 1.53 (1.24 to 1.88) | 1.79 (1.50 to 2.14) | 1.67 (1.34 to 2.08) | 1.61 (1.29 to 2.02) |
| Live in MSA | 0.67 (0.55 to 0.83) | 0.85 (0.71 to 1.01) | 0.86 (0.72 to 1.04) | 0.84 (0.68 to 1.04) | 1.05 (0.85 to 1.29) | 1.06 (0.86 to 1.30) |
| South† | 1.42 (1.16 to 1.74) | 1.37 (1.07 to 1.75) | 1.33 (1.03 to 1.71) | 1.10 (0.90 to 1.32) | 1.05 (0.82 to 1.34) | 1.04 (0.81 to 1.34) |
| Midwest | 0.97 (0.78 to 1.19) | 1.07 (0.82 to 1.40) | 1.15 (0.88 to 1.50) | 0.88 (0.72 to 1.09) | 0.83 (0.61 to 1.14) | 0.85 (0.62 to 1.17) |
| West | 0.78 (0.62 to 0.99) | 1.09 (0.81 to 1.45) | 1.20 (0.89 to 1.60) | 1.03 (0.84 to 1.27) | 1.31 (1.00 to 1.73) | 1.37 (1.04 to 1.80) |
*
Bold indicates a statistically significant (P<.05) relationship.
†
East is the comparison group for census region variables in multivariate analyses.
‡
Non-Hispanic white is the reference group for race variables in multivariate analyses.
MSA, metropolitan statistical area; N/A, not applicable.