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Table 1 Plasma zinc levels and zinc deficiency in various categories

From: Plasma zinc levels, anthropometric and socio-demographic characteristics of school children in eastern Nepal

Variables

Categories

N (%)

Median IQR plasma zinc levels (μmol/L)

P value

Zinc deficient n (%)

Zinc sufficient n (%)

P value

Age (years)

6-8

50(40.0)

6.7(4.8,10.2)

0.02

37(74.0)

13(26.0)

0.001

 

9-10

42(33.6)

5.6(4.3,7.1)

 

37(88.1)

5(11.9)

 
 

11-12

33(26.4)

5.6(4.0,7.2)

 

33(100)

0(0)

 

Sex

Male

68(54.4)

5.8(4.5,7.7)

0.57

62(91.2)

6(8.8)

0.04

 

Female

57(45.6)

5.9(4.3, 8.5)

 

45(78.9)

12(21.1)

 

Districts

Sunsari

63(50.4)

5.9(4.4, 7.9)

0.9

55(87.3)

8(12.7)

0.3

 

Dhankuta

62(49.6)

5.8(4.3,8.4)

 

52(83.9)

10(16.1)

 

Stunting

Present

43(34.4)

5.7(4.5,7.4)

0.59

39 (90.7)

4(9.3)

0.1

 

Absent

82(65.6)

5.9(4.2,8.6)

 

68(82.1)

14(17.9)

 

Thinness

Present

19(15.2)

5.6(3.8,7.5)

0.22

17(89.5)

2(10.5)

0.4

 

Absent

106(84.8)

5.9(4.4,7.9)

 

90(84.9)

16(15.1)

 

Wasting

Present

4(3.2)

5.7(3.7,9.7)

0.78

3(75)

1(25)

0.4

 

Absent

121(96.8)

5.9(4.3,7.7)

 

104(86)

17(14)

 

Underweight

Present

37(29.6)

5.6(4.5,7.7)

0.781

29(78.4%)

8(21.6%)

0.5

 

Absent

88(70.4%)

5.9(4.3,7.7)

 

78(88.6%)

10(11.4%)

 

Overweight

Present

4(3.2%)

5.0(4.1,6.0)

0.362

4(100%)

-

0.1

 

Absent

121(96.8%)

5.9(4.3,7.8)

 

103(85%)

18(14.9%)

 
  1. Man Whitney U test and Krushkal Wallis test was applied to compare the non-parametric numerical data, Chi Square test was applied to associate the non-parametric qualitative data, the level of significance was at 95% CI.