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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)