Table 4: Significant variables affecting occupational incidents based on logistic regression analysis (n=661). Values are OR (95% CI).
Occupational Incidents	Step 1*	Step 2 †
Age (yrs)
<30 vs >40	0.64 (0.31 to 1.34)	0.85 (0.39 to 1.85)
30–40 vs >40	0.64 (0.34 to 1.19)	0.75 (0.39 to 1.46)
Sex (male vs female)	13.09 (1.74 to 98.38)	10.09 (1.32 to 77.18)
Smoking (yes vs no)	1.30 (0.91 to 1.88)	1.36 (0.93 to 1.99)
Educational level
Elementary vs University	2.35 (1.40 to 3.94)	2.26 (1.32 to 3.88)
Diploma vs University	1.91 (1.29 to 2.82)	1.85 (1.23 to 2.79)
Job tenure (yrs)
5–15 vs <5	1.17 (0.69 to 1.99)	1.05 (0.61 to 1.82)
>15 vs <5	1.39 (0.65 to 2.95)	1.30 (0.59 to 2.87)
Marital status (married vs single)	0.70 (0.45 to 1.09)	0.69 (0.43 to 1.09)
BMI (kg/m2)
25–30 vs <25	1.54 (1.08 to 2.20)	1.50 (1.04 to 2.16)
>30 vs <25	2.29 (1.14 to 4.60)	1.95 (0.93 to 4.06)
ESS (abnormal vs normal)		2.44 (1.62 to 3.68)
STOP-BANG (abnormal vs normal)		2.00 (1.30 to 3.03)
*Corrected for age, sex, education level, smoking, and job tenure † Corrected for ESS and STOP-BANG level