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. 2022 Feb 28;19(5):2816. doi: 10.3390/ijerph19052816

Table 1.

Epidemiological characteristics of participants according to Hg levels, Brazilian Amazon basin, 2015–2019.

Variables Low Exposure High Exposure Total Hg Level in the Blood (μg/L)
n % n % Mean Median Standard Deviation Min Max Kruskal-Wallis
Age range (n = 451) *
18–20 (n = 21) 10 47.6 11 52.4 20.9 12.0 27.6 3.7 129.6 χ 2 = 19.05
p = 0.0003
21–40 (n = 178) 54 30.3 124 69.7 32.1 15.0 49.6 1.4 288.3
41–60 (n = 190) 37 19.5 153 80.5 44.3 23.5 59.3 1.6 296.5
>61 (n = 62) 10 16.1 52 83.9 39.7 22.1 49.6 3.3 271.9
Gender (n = 462)
Female (n = 303) 80 26.4 223 73.6 32.7 16.8 47.3 1.4 296.5 χ2 = 9.11
p = 0.003
Male (n = 159) 33 20.8 126 79.2 48.1 25.5 63.9 1.7 288.3
Schooling (n = 457) *
Illiterate (n = 12) 3 25.0 9 75.0 45.8 30.7 50.9 7.3 185.5 χ2 = 67.85
p = 0.0001
Elementary education (n = 334) 52 15.6 282 84.4 44.7 24.0 58.5 1.4 296.5
Higher education (n = 111) 57 51.4 54 48.6 17.3 9.6 31.6 1.6 296.5
Fish consumption (n = 457) *
Daily (n = 146) 5 3.4 141 96.6 48.1 26.1 59.9 7.0 296.5 χ2 = 88.62
p = 0.0001
Regular (n = 235) 57 24.3 178 75.7 40.7 20.1 56.1 1.4 296.5
Occasional (n = 76) 47 61.8 29 38.2 12.1 7.6 14.2 1.6 80.1
Home location (n = 462) *
Riverine—Amazon River (n = 105) 16 15.2 89 84.7 45.3 27.3 55.2 3.3 271.9 χ2 = 79.21
p = 0.0001
Riverine—Tapajós River (n = 154) 10 6.5 144 93.5 54.3 25.0 69.3 1.4 296.5
Urban (n = 203) 87 42.9 116 57.1 21.8 11.0 30.9 1.7 247.1

* χ2 of person: Comparison of variables such as age, schooling, fish consumption, and location of residence as a function of mercury exposure (high exposure × low exposure) shows statistically significant results.