Skip to main content

Table 4 Multivariate logistic regression analysis of various occupational activities and educational status associated with mercury exposure

From: Reduced egfr, elevated urine protein and low level of personal protective equipment compliance among artisanal small scale gold miners at Bibiani-Ghana: a cross-sectional study

Variable Exposed N = 61 Non-exposed N = 49 Crude OR(95%CI) P value
Gold Amalgamation    1.0000
Yes 59 (96.7) 48 (97.9) 0.6146 (0.054–6.989)  
NO 2 (3.3) 1 (2.1) *  
Burning of Amalgam    0.0196
Yes 53 (86.9) 33 (67.3) 3.212 (1.238–8.337)  
No 8 (13.1) 16 (32.7) *  
Smelting of Gold    1.000
Yes 58 (86.9) 47 (95.9) 0.8227 (0.1319–5.13)  
NO 3 (13.1) 2 (4.1) *  
Transportation of mercury   0.2384
Yes 59 (96.7) 44 (89.8) 3.352 (0.6210–18.10)  
NO 2 (3.3) 5 (10.2) *  
Standing in pool of water stream   0.1064
Yes 58 (86.9) 42 (85.7) 3.222 (0.7867–13.20)  
No 3 (13.1) 7 (14.3) *  
Sucking of excess mercury    0.0336
Yes 53 (86.9) 34 (69.4) 2.923 (1.119–7.636)  
No 8(3.3) 15 (30.6) *  
Work Duration(years)    0.0314
<5 11 (18.0) 18 (36.7) *  
≥5 50 (82.0) 31 (63.3) 2.639(1.101–6.32)  
Fish consumption from lake    1.0000
Yes 33 (54.1) 27 (55.1) 0.960 (0.451–2.04)  
NO 28 (45.9) 22 (44.9) *  
Previous work    0.8382
Yes 19 (31.1) 17 (34.7) 0.8515 (0.38–1.89)  
No 42 (68.9) 32 (65.3) *  
Place of mercury storage
Don’t store Mercury 3 (4.9) 2 (4.1) *  
Home 43 (70.5) 31 (63.3) 0.925 (0.146–5.87) 1.000
Mine Site 15 (24.6) 16 (32.6) 0.625 (0.091–4.27) 1.000
Knowledge of mercury intoxication   0.8447
Yes 24 (39.3) 18 (36.7) 1.117 (0.514–2.42)  
NO 37 (60.7) 31 (63.3) *  
Highest level of education
Uneducated 14 (23.0) 5 (10.2) 3.675 (1.09–12.34) 0.0473
Primary 31 (50.8) 23 (47.0) 1.77 (0.7598–4.12) 0.206
Secondary 16 (26.2) 21 (42.8) *