Variables Predicting Adequate Health Literacy in Logistic Regression Analysis
| Predictor Variable | Adult (n = 778) | MS and HS Athletes (n = 206) |
|---|---|---|
| Gender × race* | ||
| White female | 1 | 1 |
| White male | 0.497 (0.328–0.753) | 0.713 (0.384–1.324) |
| Non-white female | 0.177 (0.111–0.282) | 0.295 (0.068–1.269) |
| Non-white male | 0.210 (0.110–0.398) | 0.045 (0.005–0.381) |
| Age | 0.953 (0.941- 0.965) | — |
| Education level | ||
| 11th grade or less | 1 | — |
| High school graduate or GED | 1.80 (0.909–3.565) | |
| Some college | 3.667 (1.869–7.195) | |
| College graduate; may have postgraduate work | 12.019 (5.650–25.570) | |
| BMI | 1.040 (1.016–1.065) | 1.087 (0.999–1.182) |
| Taken a health class | 1.536 (1.056-.235) | — |
Values provided as odds ratio (95% CI). MS, middle school; HS, high school; BMI, body mass index.
* Includes African American (23.4%), American Indian (1%), Asian (0.3%), and multiracial (0.5%).