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