Factors predictive of symptoms using pooled data from all five buildings
| Symptom | Environmental factor | p Value |
| Stuffy nose | Reduced high frequency noise | <0.01 |
| Increased low frequency noise | <0.01 | |
| Runny nose | Air turbulence | <0.01 |
| Itchy eyes | Temperature gradient (head floor) | <0.01 |
| Increased low frequency noise | =0.001 | |
| Particulates (5–10 μm) | <0.01 | |
| Dry throat | Temperature - diurnal variation | <0.001 |
| Particulates (10 μm) | <0.001 | |
| Headache | Temperature (dry bulb) | <0.01 |
| Particulates (5–10 μm) | <0.001 | |
| Lethargy | Multiple noise measures9-150 | |
| Particulates (10 μm) | <0.001 | |
| Dry skin | Increased low frequency noise | <0.01 |
↵9-150 There was instability of the regression model with interaction between variables that could not be controlled. Findings of uncertain significance.