Table 3.
Negative binomial, linear, and logistic regressions assessing associations between SIT scores and 90 day economic measures/medication use variables
| Economic Measures | Unadjusted β | Adjusted β | P-Value | Prevalence Ratio | CI |
|---|---|---|---|---|---|
| Days of missed productivity | 0.012 | 0.012 | 0.298 | 1.012 | (0.989, 1.036) |
| Days of missed employment | 0.041 | −0.006 | 0.780 | 0.994 | (0.956, 1.034) |
| Hours of missed employment due to physician visits | 1.232 | 1.232 | 0.249 | - | (−0.877, 3.341) |
| Average percent productivity | 0.001 | 0.001 | 0.779 | - | (−0.007, 0.010) |
| Minutes spent in sinus care | −0.462 | −0.462 | 0.082 | - | (−0.985, 0.060) |
| Hours of childcare | −0.048 | −0.048 | 0.204 | - | (−0.123, 0.027) |
| Distance traveled to medical appointment a | 2.569 | 3.075 | 0.038 | - | (0.177, 5.974) |
| Disability Insurance b | 0.115 | 0.145 | 0.025 | 1.156 | (1.018, 1.312) |
| Medication Usage | |||||
| Days on oral steroid | 0.036 | 0.015 | 0.279 | 1.015 | (0.988, 1.043) |
| Days on oral antibiotic | 0.008 | 0.008 | 0.443 | 1.009 | (0.987, 1.031) |
SIT: Smell Identification Test
Models were adjusted for age, gender, nasal polyp status, depression, asthma, allergy, SNOT22, CT score, and endoscopy score in combinations specific to each economic variable.
Interpretation for linear regression: On average, for a one point decrease in SIT, distance traveled to medical appointment goes up by 3.075 miles and we are 95% confident that the true estimate is between 0.177 and 5.974 miles.
Interpretation for logistic regression (Prevalence Odds Ratio): On average, for a one point decrease in SIT, the odds of being on disability insurance increases by 15.6% and we are 95% confident that the true estimate is between 1.8% and 31.2%.