Table 6.
Bivariate and multivariate linear regression analysis for Random gap detection (average)
| Bivariate model | Multivariate model | Final multivariate model | ||||||
|---|---|---|---|---|---|---|---|---|
|
Characteristic |
|
Beta |
p |
Beta |
p |
Characteristic |
Beta |
p |
| Age |
|
0.293 |
0.007 |
0.527 |
0.466 |
Age |
0.255 |
0.008 |
| Male |
|
0.086 |
0.431 |
0.033 |
0.840 |
|
|
|
|
Solvent exp. |
EXP |
0.403 |
p<0.0001 |
0.177 |
0.813 |
EXP |
0.239 |
0.027 |
| |
NEXP |
Reference |
|
|
|
|
|
|
| Tenure |
|
0.467 |
p<0.0001 |
0.082 |
0.821 |
|
|
|
|
Risk factors |
Cigarettes |
−0.048 |
0.742 |
−0.255 |
0.098 |
|
|
|
| |
Alcohol |
−0.104 |
0.477 |
−0.031 |
0.834 |
|
|
|
| |
ShootWP |
−0.064 |
0.626 |
0.021 |
0.883 |
|
|
|
| |
ShootNP |
0.224 |
0.086 |
0.257 |
0.098 |
|
|
|
| |
No Shoot |
Reference |
|
|
|
|
|
|
| |
Pastnoise |
0.427 |
p<0.0001 |
0.384 |
0.012 |
Pastnoise |
0.303 |
0.005 |
|
Interactions |
|
|
|
|
|
Interactions |
|
|
| Age*solvent | −0.250 | 0.840 | ||||||
Note. Solvent exp: EXP: solvent-exposed group, NEXP: non-exposed group (reference); Tenure: number of years working at the factory exposed to solvents; Cigarettes: Number of cigarettes smoked per week; Alcohol: Number of drinks per month; Shoot WP: history of shooting practice wearing hearing protection; ShootNP: history of shooting practice without wearing hearing protection; No shoot: absence of shooting practice (reference); Pastnoise: history of previous occupational noise exposure; Interaction Age*solvent: factor of age times solvent group (exposed versus non-exposed).