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. 2023 Nov 13;15(1):110–113. doi: 10.1016/j.shaw.2023.11.006

Table 1.

Demographic data and heavy metal contents in blood

All (n = 104) CFar (n = 74) OFar (n = 30) p
Age (year) 49.32 ± 13.76 49.72 ± 15.03 48.33 ± 10.13 0.855
Sex§, n (%) 0.044∗
Male 78 (75.0) 60 (81.1) 18 (60.0)
Female 26 (25.0) 14 (18.9) 12 (40.0)
Education level, n (%) 0.175
No higher than junior high school 22 (21.5) 17 (23.6) 5 (16.7)
High school 43 (42.2) 26 (36.1) 17 (56.7)
University and above 37 (36.3) 29 (40.3) 8 (26.7)
Alcohol, n (%) 0.264
Yes 67 (64.4) 45 (60.8) 22 (73.3)
No 37 (35.6) 29 (39.2) 8 (26.7)
Areca nut, n (%) 0.115
Yes 36 (34.6) 22 (29.7) 14 (46.7)
No 68 (65.4) 52 (70.3) 16 (53.3)
Smoking, n (%) 0.829
Yes 43 (41.3) 30 (40.5) 13 (43.3)
No 61 (58.7) 44 (59.5) 17 (56.7)
CFer, n (%) <0.001∗∗∗
Yes 73 (70.2) 73 (98.6) 0 (0.0)
No 31 (29.8) 1 (1.4) 30 (100.0)
OFer, n (%) <0.001∗∗∗
Yes 41 (39.4) 11 (14.9) 30 (100.0)
No 63 (60.6) 63 (85.1) 0 (0.0)
GM, n (%) <0.001∗∗∗
Yes 15 (14.4) 3 (4.1) 12 (40.0)
No 89 (85.6) 71 (95.9) 18 (60.0)
Living environment, n (%) >0.999
near farmland 86 (82.7) 61 (82.4) 25 (83.3)
downtown area 18 (17.3) 13 (17.6) 5 (16.7)

∗Significant (p-value < 0.05); ∗∗∗Significant (p-value < 0.001) † using Mann-Whitney U test; § using Fisher’s exact test.