Table 6 Trimmed Regression Models for Predicting WMSD among Domestic Gas Workers and Staff of Works Department (n = 100)
Independent Variables | Odds Ratio (p-value) | |||||
|---|---|---|---|---|---|---|
General WMSD | Low back WMSD | Shoulder WMSD | ||||
DGW (n = 50) | SWD (n = 50) | DGW (n = 50) | SWD (n = 50) | DGW (n = 50) | SWD (n = 50) | |
Diastolic Blood Pressure (mmHg) | 1.29 (0.018)* | 0.99 (0.012)* | – | – | – | – |
work duration (>  8 h/day) | < 0.001 (0.028)* | – | – | – | – | – |
Gender (female) | 1.13 (0.943) | 6.47 (0.032)* | 10.26 (0.021)* | 0.001 (0.997) | 6.98 (0.046)* | 0.22 (0.118) |
Age (years) | – | – | 1.07 (0.062) | 0.97 (0.816) | 1.04 (0.276) | 0.95 (0.299) |
Sleep duration (<  6 h) | – | – | 0.56 (0.004)* | 0.93 (0.942) | 0.73 (0.044)* | 1.07 (0.791) |
Exercise Status (poor) | – | – | – | – | 0.15 (0.013)* | 3.02 (0.331) |
Nagelkerke R2 | 0.76 | 0.22 | 0.36 | 0.96 | 0.33 | 0.68 |
Classification | 92.00% | 70.00% | 82.00% | 98.00% | 70.00% | 88.00% |