Table 4.
Association between demographic and socioeconomic variables and prescription treatment of osteoporosis/osteopenia
| 95% Confidence Interval | ||||
|---|---|---|---|---|
| Odds Ratio | Low | High | P value | |
| Race/ethnicity | ||||
| White | Reference | |||
| African American | 1.34 | 0.88 | 2.05 | .17 |
| Hispanic | 0.92 | 0.57 | 1.47 | .73 |
| Other | 0.82 | 0.53 | 1.25 | .35 |
| Graduated college | 1.09 | 0.92 | 1.31 | .32 |
| Employed | 0.88 | 0.73 | 1.07 | .21 |
| Prescription coverage | 1.49 | 1.22 | 1.82 | < .001 |
| Income ($25,000 unit) | 1.08 | 1.01 | 1.15 | .04 |
| Out-of-pocket spending on prescriptions as a proportion of income | 2.42 | 1.21 | 4.84 | .01 |
| Cost cutting actions | 0.95 | 0.77 | 1.16 | .60 |
| Ask for generic | 1.06 | 0.90 | 1.24 | .48 |
| Children in home | 0.92 | 0.81 | 1.05 | .21 |
| Marital status | ||||
| Married | reference | reference | reference | |
| Single | 1.49 | 1.02 | 2.20 | .04 |
| Divorced/separated | 1.11 | 0.91 | 1.36 | .31 |
| Widowed | 1.20 | 0.97 | 1.50 | .10 |
Variables listed in Tables 2, 3, and 4 were all included in the same regression model but are presented separately to highlight the 3 different groups of factors.