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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.