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Table 6 Trimmed Regression Models for Predicting WMSD among Domestic Gas Workers and Staff of Works Department (n = 100)

From: Prevalence of work-related musculoskeletal symptoms and associated risk factors among domestic gas workers and staff of works department in Enugu, Nigeria: a cross-sectional study

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%
  1. WMSD Work Related Musculoskeletal Disorder, DGW Domestic Gas Workers, SWD Staff of Works Department
  2. * = significant (2-tailed) test at p < 0.05