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Calculator: Assessment of malnutrition in males, 2 to 5 years (WHO)


 Calculator: Assessment of malnutrition in males, 2 to 5 years (WHO)

 
Input
 
Age  
Height  
Weight  

 
Results
 
Important: Inputs must be complete to perform calculation.

 
 
Z-score height-for-age  
Z-score weight-for-height  
Height-for-age percentile  
Weight-for-height percentile  
 
Decimal precision  

 

 

 Assessment of stunting

 
Z-score >-2: No stunting
Z-score >-3 and ≤-2: Moderate stunting
Z-score ≤-3: Severe stunting

 

 

 Assessment of wasting

 
Z-score >-2: No wasting
Z-score >-3 and ≤-2: Moderate wasting
Z-score ≤-3: Severe wasting

 
 

 
Notes
  • This calculator is based on the World Health Organization (WHO) growth standard.
  • Moderate malnutrition is defined as moderate stunting or wasting.
  • Severe malnutrition is defined as severe stunting, severe wasting, or edematous malnutrition.
  • Patients with edematous malnutrition (Kwashiorkor) should be considered to have severe malnutrition even if stunting or wasting Z-scores are not in the severe range.
  • At the extremes (>97th percentile or <3rd percentile), small differences in percentiles represent clinically important differences. At these extremes, the Z-score is a more precise reflection of how far the measurement deviates from the mean and is a useful tool for tracking changes.
  • For all LMS tables, the row in the table corresponding to the patient-specific value is found in the first column of the table; values to be used for L (the Box-Cox power), M (the median), and S (the generalized coefficient of variation) in the equation for Z-score are retrieved.
  • The accuracy of the calculation can be assessed by viewing the graph of height-for-age percentiles for this sex and age group in UpToDate.
  • Z-scores may be used to do a table lookup for the corresponding percentile in the Normal table percentiles for Z-score table (below). Numbers along the left side (Y-axis) of the table represent the first number and first decimal place of the Z-score, while the numbers along the top (X-axis) of the table represent the second decimal position of the Z-score.

 
Equations used
 
Z_Score_Height_for_Age = ((Height/M)L - 1) / (L * S)
Z_Score_Weight_for_Height = ((Weight/M)L - 1) / (L * S)
Height-for-age percentile = ZtoPercentile(Z-score height-for-age)
Weight-for-height percentile = ZtoPercentile(Z-score weight-for-height)

 

 
References
  1. World Health Organization. The WHO Child Growth Standards. https://www.who.int/childgrowth/standards/en/ (Accessed on June 26, 2023).

 

 LMS table: Height-for-age percentiles, males 2 to 5 years, WHO growth standard

 
Age [months] Power [L] Median [M] Variation [S]
24 1 87.1161 0.0351
25 1 87.9720 0.0354
26 1 88.8065 0.0358
27 1 89.6197 0.0361
28 1 90.4120 0.0364
29 1 91.1828 0.0367
30 1 91.9327 0.0370
31 1 92.6631 0.0373
32 1 93.3753 0.0376
33 1 94.0711 0.0379
34 1 94.7532 0.0381
35 1 95.4236 0.0384
36 1 96.0835 0.0386
37 1 96.7337 0.0388
38 1 97.3749 0.0390
39 1 98.0073 0.0392
40 1 98.6310 0.0394
41 1 99.2459 0.0395
42 1 99.8515 0.0397
43 1 100.4485 0.0399
44 1 101.0374 0.0400
45 1 101.6186 0.0402
46 1 102.1933 0.0403
47 1 102.7625 0.0404
48 1 103.3273 0.0406
49 1 103.8886 0.0407
50 1 104.4473 0.0409
51 1 105.0041 0.0410
52 1 105.5596 0.0411
53 1 106.1138 0.0413
54 1 106.6668 0.0414
55 1 107.2188 0.0415
56 1 107.7697 0.0416
57 1 108.3198 0.0418
58 1 108.8689 0.0419
59 1 109.4170 0.0420
60 1 109.9638 0.0421

 

 LMS table: Weight-for-height percentiles, males 65 to 120 cm, WHO growth standard

 
Height [cm] Power [L] Median [M] Variation [S]
65 -0.3521 7.4327 0.0822
65.5 -0.3521 7.5504 0.0821
66 -0.3521 7.6673 0.0821
66.5 -0.3521 7.7834 0.0821
67 -0.3521 7.8986 0.0821
67.5 -0.3521 8.0132 0.0821
68 -0.3521 8.1272 0.0822
68.5 -0.3521 8.2410 0.0822
69 -0.3521 8.3547 0.0823
69.5 -0.3521 8.4680 0.0823
70 -0.3521 8.5808 0.0824
70.5 -0.3521 8.6927 0.0824
71 -0.3521 8.8036 0.0825
71.5 -0.3521 8.9135 0.0826
72 -0.3521 9.0221 0.0826
72.5 -0.3521 9.1292 0.0827
73 -0.3521 9.2347 0.0828
73.5 -0.3521 9.3390 0.0828
74 -0.3521 9.4420 0.0829
74.5 -0.3521 9.5438 0.0830
75 -0.3521 9.6440 0.0830
75.5 -0.3521 9.7425 0.0831
76 -0.3521 9.8392 0.0831
76.5 -0.3521 9.9341 0.0832
77 -0.3521 10.0274 0.0832
77.5 -0.3521 10.1194 0.0832
78 -0.3521 10.2105 0.0832
78.5 -0.3521 10.3012 0.0832
79 -0.3521 10.3923 0.0831
79.5 -0.3521 10.4845 0.0830
80 -0.3521 10.5781 0.0830
80.5 -0.3521 10.6737 0.0829
81 -0.3521 10.7718 0.0828
81.5 -0.3521 10.8728 0.0827
82 -0.3521 10.9772 0.0825
82.5 -0.3521 11.0851 0.0824
83 -0.3521 11.1966 0.0823
83.5 -0.3521 11.3114 0.0821
84 -0.3521 11.4290 0.0819
84.5 -0.3521 11.5490 0.0817
85 -0.3521 11.6707 0.0816
85.5 -0.3521 11.7937 0.0814
86 -0.3521 11.9173 0.0812
86.5 -0.3521 12.0411 0.0810
87 -0.3521 12.1645 0.0809
87.5 -0.3521 12.2871 0.0808
88 -0.3521 12.4089 0.0806
88.5 -0.3521 12.5298 0.0805
89 -0.3521 12.6495 0.0804
89.5 -0.3521 12.7683 0.0804
90 -0.3521 12.8864 0.0803
90.5 -0.3521 13.0038 0.0803
91 -0.3521 13.1209 0.0803
91.5 -0.3521 13.2376 0.0802
92 -0.3521 13.3541 0.0803
92.5 -0.3521 13.4705 0.0803
93 -0.3521 13.5870 0.0803
93.5 -0.3521 13.7041 0.0804
94 -0.3521 13.8217 0.0804
94.5 -0.3521 13.9403 0.0805
95 -0.3521 14.0600 0.0806
95.5 -0.3521 14.1811 0.0807
96 -0.3521 14.3037 0.0808
96.5 -0.3521 14.4282 0.0810
97 -0.3521 14.5547 0.0811
97.5 -0.3521 14.6832 0.0813
98 -0.3521 14.8140 0.0815
98.5 -0.3521 14.9468 0.0817
99 -0.3521 15.0818 0.0819
99.5 -0.3521 15.2187 0.0821
100 -0.3521 15.3576 0.0823
100.5 -0.3521 15.4985 0.0825
101 -0.3521 15.6412 0.0828
101.5 -0.3521 15.7857 0.0830
102 -0.3521 15.9320 0.0833
102.5 -0.3521 16.0801 0.0835
103 -0.3521 16.2298 0.0838
103.5 -0.3521 16.3812 0.0841
104 -0.3521 16.5342 0.0844
104.5 -0.3521 16.6889 0.0846
105 -0.3521 16.8454 0.0849
105.5 -0.3521 17.0036 0.0852
106 -0.3521 17.1637 0.0855
106.5 -0.3521 17.3256 0.0858
107 -0.3521 17.4894 0.0861
107.5 -0.3521 17.6550 0.0864
108 -0.3521 17.8226 0.0867
108.5 -0.3521 17.9924 0.0870
109 -0.3521 18.1645 0.0874
109.5 -0.3521 18.3390 0.0877
110 -0.3521 18.5158 0.0880
110.5 -0.3521 18.6948 0.0883
111 -0.3521 18.8759 0.0886
111.5 -0.3521 19.0590 0.0890
112 -0.3521 19.2439 0.0893
112.5 -0.3521 19.4304 0.0896
113 -0.3521 19.6185 0.0899
113.5 -0.3521 19.8081 0.0902
114 -0.3521 19.9990 0.0905
114.5 -0.3521 20.1912 0.0909
115 -0.3521 20.3846 0.0912
115.5 -0.3521 20.5789 0.0915
116 -0.3521 20.7741 0.0918
116.5 -0.3521 20.9700 0.0921
117 -0.3521 21.1666 0.0924
117.5 -0.3521 21.3636 0.0927
118 -0.3521 21.5611 0.0930
118.5 -0.3521 21.7588 0.0933
119 -0.3521 21.9568 0.0936
119.5 -0.3521 22.1549 0.0939
120 -0.3521 22.3530 0.0942

 

 LMS table: Normal table percentiles for Z-score

 
Z 1 3 5 7 9
-3.0 0.13% 0.12% 0.11% 0.11% 0.10%
-2.9 0.18% 0.17% 0.16% 0.15% 0.14%
-2.8 0.25% 0.23% 0.22% 0.21% 0.19%
-2.7 0.34% 0.32% 0.30% 0.28% 0.26%
-2.6 0.45% 0.43% 0.40% 0.38% 0.36%
-2.5 0.60% 0.57% 0.54% 0.51% 0.48%
-2.4 0.80% 0.75% 0.71% 0.68% 0.64%
-2.3 1.04% 0.99% 0.94% 0.89% 0.84%
-2.2 1.36% 1.29% 1.22% 1.16% 1.10%
-2.1 1.74% 1.66% 1.58% 1.50% 1.43%
-2.0 2.22% 2.12% 2.02% 1.92% 1.83%
-1.9 2.81% 2.68% 2.56% 2.44% 2.33%
-1.8 3.52% 3.36% 3.22% 3.07% 2.94%
-1.7 4.36% 4.18% 4.01% 3.84% 3.67%
-1.6 5.37% 5.16% 4.95% 4.75% 4.55%
-1.5 6.55% 6.30% 6.06% 5.82% 5.59%
-1.4 7.93% 7.64% 7.35% 7.08% 6.81%
-1.3 9.51% 9.18% 8.85% 8.53% 8.23%
-1.2 11.31% 10.94% 10.57% 10.20% 9.85%
-1.1 13.35% 12.92% 12.51% 12.10% 11.70%
-1.0 15.63% 15.15% 14.69% 14.23% 13.79%
-0.9 18.14% 17.62% 17.11% 16.60% 16.11%
-0.8 20.90% 20.33% 19.77% 19.22% 18.67%
-0.7 23.89% 23.27% 22.66% 22.07% 21.48%
-0.6 27.09% 26.44% 25.79% 25.14% 24.51%
-0.5 30.50% 29.81% 29.12% 28.43% 27.76%
-0.4 34.09% 33.36% 32.64% 31.92% 31.21%
-0.3 37.83% 37.07% 36.32% 35.57% 34.83%
-0.2 41.68% 40.91% 40.13% 39.36% 38.59%
-0.1 45.62% 44.83% 44.04% 43.25% 42.47%
-0.0 49.60% 48.80% 48.01% 47.21% 46.41%
0.0 50.40% 51.20% 51.99% 52.79% 53.59%
0.1 54.38% 55.17% 55.96% 56.75% 57.54%
0.2 58.32% 59.10% 59.87% 60.64% 61.41%
0.3 62.17% 62.93% 63.68% 64.43% 65.17%
0.4 65.91% 66.64% 67.36% 68.08% 68.79%
0.5 69.50% 70.19% 70.88% 71.57% 72.24%
0.6 72.91% 73.57% 74.22% 74.86% 75.49%
0.7 76.12% 76.73% 77.34% 77.94% 78.52%
0.8 79.10% 79.67% 80.23% 80.79% 81.33%
0.9 81.86% 82.38% 82.89% 83.40% 83.89%
1.0 84.38% 84.85% 85.31% 85.77% 86.21%
1.1 86.65% 87.08% 87.49% 87.90% 88.30%
1.2 88.69% 89.07% 89.44% 89.80% 90.15%
1.3 90.49% 90.82% 91.15% 91.47% 91.77%
1.4 92.07% 92.36% 92.65% 92.92% 93.19%
1.5 93.45% 93.70% 93.94% 94.18% 94.41%
1.6 94.63% 94.85% 95.05% 95.25% 95.45%
1.7 95.64% 95.82% 95.99% 96.16% 96.33%
1.8 96.49% 96.64% 96.78% 96.93% 97.06%
1.9 97.19% 97.32% 97.44% 97.56% 97.67%
2.0 97.78% 97.88% 97.98% 98.08% 98.17%
2.1 98.26% 98.34% 98.42% 98.50% 98.57%
2.2 98.65% 98.71% 98.78% 98.84% 98.90%
2.3 98.96% 99.01% 99.06% 99.11% 99.16%
2.4 99.20% 99.25% 99.29% 99.32% 99.36%
2.5 99.40% 99.43% 99.46% 99.49% 99.52%
2.6 99.55% 99.57% 99.60% 99.62% 99.64%
2.7 99.66% 99.68% 99.70% 99.72% 99.74%
2.8 99.75% 99.77% 99.78% 99.80% 99.81%
2.9 99.82% 99.83% 99.84% 99.85% 99.86%
3.0 99.87% 99.88% 99.89% 99.89% 99.90%
Only digits 0 to 9 and a single decimal point (".") are acceptable as numeric inputs. Attempted input of other characters into a numeric field may lead to an incorrect result.

Information on this page may not appear correctly if printed.

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