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Table 6 Multivariable analysis of the psychosocial predictors of work-related musculoskeletal disorders

From: Prevalence and predictors of work-related musculoskeletal disorders among workers of a gold mine in south Kivu, Democratic Republic of Congo

Psychosocial factors Self-reported WRMSDs in the past 12 months (%) Unadjusted Model Adjusted model
Yes (n = 49) No (n = 147) PR [95% CI] PR [95% CI]
Age in years
  < 30 9 (24.3) 28 (75.7) 1    1
 30–34 12 (22.2) 42 (77. 8) 0.91 [0.43, 1.95]   0.64 (0.29, 1.42)
 35–39 8 (16.7) 40 (83.3) 0.69 [0.29, 1.61]   0.56 (0.22, 1.44)
  ≥ 40 20 (35.1) 37 (64.9) 1.44 [0.74, 2.82]   1.04 (0.53, 2.03)
Level of education
 Primary 5 (29.4) 12 (70.6) 1    
 Secondary 18 (21.7) 65 (78.3) 0.74 [0.32, 1.72]   
 Tertiary 24 (25.5) 70 (74.5) 0.87 [0.38, 1.96]   
Experience in mining sector
 1–5 years 29 (20.4) 113 (79.6) 1    1
  > 5 years 20 (37.0) 34 (63.0) 1.81 [1.13, 2.92] *   1.52 (0.85, 2.74)
Job demands
 High 17 (73.9) 6 (26.1) 1   1  
 Low 32 (18.5) 141 (81.5) 0.25 [0.17, 0.37] *** 0.18 [0.08, 0.44] *
Job insecurity
 High 20 (30.8) 45 (69.2) 1    
 Low 29 (22.1) 102 (77.9) 0.72 [0.44, 1.17]   
Job control
 Yes 12 (38.7) 19 (61.3) 1    
 No 37 (22.4) 128 (77.6) 0.58 [0.34, 0.98]   
Work relationship
 Good 15 (27.3) 40 (72.7) 1    
 Bad 34 (24.1) 107 (75.9) 0.88 [0.52, 1.49]   
Mental state
 Not normal 7 (38.9) 11 (61.1) 1    1
 Normal 42 (23.6) 136 (76.4) 0.61 [0.32, 1.15]   0.61 (0.30, 1.23)