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Calculator: WHO assessment of malnutrition in males 2 to 5 years old


Calculator: WHO assessment of malnutrition in males 2 to 5 years old

 
Input
 
Age  
Height  
Weight  

 
Results
 
Important: Inputs must be complete to perform calculation.

 
 
Z-score height  
Z-score weight for height  
Height 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
  • WHO: World Health Organization.
  • Moderate malnutrition is defined as moderate stunting or wasting.
  • Severe malnutrition is defined as severe stunting or 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.
  • The accuracy of the calculation can be assessed by viewing the graphs of height-for-age and weight-for-height percentiles for this sex and age group in UpToDate.
  • 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.
  • 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 = ((Height/M)L - 1) / (L * S)
Z-score weight for height = ((Weight/M)L - 1) / (L * S)
Height_percentile = ZtoPercentile(Z-score height)
Weight_for_height_percentile = ZtoPercentile(Z-score weight for height)

 

 
References
  1. World Health Organization. The WHO Child Growth Standards. Available at: www.who.int/childgrowth/standards/en/ (Accessed on March 4, 2019).

 

LMS table: Height-for-age percentiles, boys 2 to 5 years, WHO growth standards

 
Age [months] Power [L] Median [M] Variation [S]
24 1 87.1161 0.03507
25 1 87.9720 0.03542
26 1 88.8065 0.03576
27 1 89.6197 0.03610
28 1 90.4120 0.03642
29 1 91.1828 0.03674
30 1 91.9327 0.03704
31 1 92.6631 0.03733
32 1 93.3753 0.03761
33 1 94.0711 0.03787
34 1 94.7532 0.03812
35 1 95.4236 0.03836
36 1 96.0835 0.03858
37 1 96.7337 0.03879
38 1 97.3749 0.03900
39 1 98.0073 0.03919
40 1 98.6310 0.03937
41 1 99.2459 0.03954
42 1 99.8515 0.03971
43 1 100.4485 0.03986
44 1 101.0374 0.04002
45 1 101.6186 0.04016
46 1 102.1933 0.04031
47 1 102.7625 0.04045
48 1 103.3273 0.04059
49 1 103.8886 0.04073
50 1 104.4473 0.04086
51 1 105.0041 0.04100
52 1 105.5596 0.04113
53 1 106.1138 0.04126
54 1 106.6668 0.04139
55 1 107.2188 0.04152
56 1 107.7697 0.04165
57 1 108.3198 0.04177
58 1 108.8689 0.0419
59 1 109.4170 0.04202
60 1 109.9638 0.04214

 

LMS table: Weight-for-height percentiles, boys 2 to 5 years, WHO growth standards

 
Height [cm] Power [L] Median [M] Variation [S]
65 -0.3521 7.4327 0.08217
65.5 -0.3521 7.5504 0.08214
66 -0.3521 7.6673 0.08212
66.5 -0.3521 7.7834 0.08212
67 -0.3521 7.8986 0.08213
67.5 -0.3521 8.0132 0.08214
68 -0.3521 8.1272 0.08217
68.5 -0.3521 8.2410 0.08221
69 -0.3521 8.3547 0.08226
69.5 -0.3521 8.4680 0.08231
70 -0.3521 8.5808 0.08237
70.5 -0.3521 8.6927 0.08243
71 -0.3521 8.8036 0.08250
71.5 -0.3521 8.9135 0.08257
72 -0.3521 9.0221 0.08264
72.5 -0.3521 9.1292 0.08272
73 -0.3521 9.2347 0.08278
73.5 -0.3521 9.3390 0.08285
74 -0.3521 9.4420 0.08292
74.5 -0.3521 9.5438 0.08298
75 -0.3521 9.6440 0.08303
75.5 -0.3521 9.7425 0.08308
76 -0.3521 9.8392 0.08312
76.5 -0.3521 9.9341 0.08315
77 -0.3521 10.0274 0.08317
77.5 -0.3521 10.1194 0.08318
78 -0.3521 10.2105 0.08317
78.5 -0.3521 10.3012 0.08315
79 -0.3521 10.3923 0.08311
79.5 -0.3521 10.4845 0.08305
80 -0.3521 10.5781 0.08298
80.5 -0.3521 10.6737 0.08290
81 -0.3521 10.7718 0.08279
81.5 -0.3521 10.8728 0.08268
82 -0.3521 10.9772 0.08255
82.5 -0.3521 11.0851 0.08241
83 -0.3521 11.1966 0.08225
83.5 -0.3521 11.3114 0.08209
84 -0.3521 11.4290 0.08191
84.5 -0.3521 11.5490 0.08174
85 -0.3521 11.6707 0.08156
85.5 -0.3521 11.7937 0.08138
86 -0.3521 11.9173 0.08121
86.5 -0.3521 12.0411 0.08105
87 -0.3521 12.1645 0.08090
87.5 -0.3521 12.2871 0.08076
88 -0.3521 12.4089 0.08064
88.5 -0.3521 12.5298 0.08054
89 -0.3521 12.6495 0.08045
89.5 -0.3521 12.7683 0.08038
90 -0.3521 12.8864 0.08032
90.5 -0.3521 13.0038 0.08028
91 -0.3521 13.1209 0.08025
91.5 -0.3521 13.2376 0.08024
92 -0.3521 13.3541 0.08025
92.5 -0.3521 13.4705 0.08027
93 -0.3521 13.5870 0.08031
93.5 -0.3521 13.7041 0.08036
94 -0.3521 13.8217 0.08043
94.5 -0.3521 13.9403 0.08051
95 -0.3521 14.0600 0.08060
95.5 -0.3521 14.1811 0.08071
96 -0.3521 14.3037 0.08083
96.5 -0.3521 14.4282 0.08097
97 -0.3521 14.5547 0.08112
97.5 -0.3521 14.6832 0.08129
98 -0.3521 14.8140 0.08146
98.5 -0.3521 14.9468 0.08165
99 -0.3521 15.0818 0.08185
99.5 -0.3521 15.2187 0.08206
100 -0.3521 15.3576 0.08229
100.5 -0.3521 15.4985 0.08252
101 -0.3521 15.6412 0.08277
101.5 -0.3521 15.7857 0.08302
102 -0.3521 15.9320 0.08328
102.5 -0.3521 16.0801 0.08354
103 -0.3521 16.2298 0.08381
103.5 -0.3521 16.3812 0.08408
104 -0.3521 16.5342 0.08436
104.5 -0.3521 16.6889 0.08464
105 -0.3521 16.8454 0.08493
105.5 -0.3521 17.0036 0.08521
106 -0.3521 17.1637 0.08551
106.5 -0.3521 17.3256 0.08580
107 -0.3521 17.4894 0.08611
107.5 -0.3521 17.6550 0.08641
108 -0.3521 17.8226 0.08673
108.5 -0.3521 17.9924 0.08704
109 -0.3521 18.1645 0.08736
109.5 -0.3521 18.3390 0.08768
110 -0.3521 18.5158 0.08800
110.5 -0.3521 18.6948 0.08832
111 -0.3521 18.8759 0.08864
111.5 -0.3521 19.0590 0.08896
112 -0.3521 19.2439 0.08928
112.5 -0.3521 19.4304 0.08960
113 -0.3521 19.6185 0.08991
113.5 -0.3521 19.8081 0.09022
114 -0.3521 19.9990 0.09054
114.5 -0.3521 20.1912 0.09085
115 -0.3521 20.3846 0.09116
115.5 -0.3521 20.5789 0.09147
116 -0.3521 20.7741 0.09177
116.5 -0.3521 20.9700 0.09208
117 -0.3521 21.1666 0.09239
117.5 -0.3521 21.3636 0.09270
118 -0.3521 21.5611 0.09300
118.5 -0.3521 21.7588 0.09331
119 -0.3521 21.9568 0.09362
119.5 -0.3521 22.1549 0.09393
120 -0.3521 22.3530 0.09424

 

LMS table: Normal table percentiles for Z-score

 
Z 0 1 2 3 4 5 6 7 8 9
-3.0 0.13% 0.13% 0.13% 0.12% 0.12% 0.11% 0.11% 0.11% 0.10% 0.10%
-2.9 0.19% 0.18% 0.18% 0.17% 0.16% 0.16% 0.15% 0.15% 0.14% 0.14%
-2.8 0.26% 0.25% 0.24% 0.23% 0.23% 0.22% 0.21% 0.21% 0.20% 0.19%
-2.7 0.35% 0.34% 0.33% 0.32% 0.31% 0.30% 0.29% 0.28% 0.27% 0.26%
-2.6 0.47% 0.45% 0.44% 0.43% 0.41% 0.40% 0.39% 0.38% 0.37% 0.36%
-2.5 0.62% 0.60% 0.59% 0.57% 0.55% 0.54% 0.52% 0.51% 0.49% 0.48%
-2.4 0.82% 0.80% 0.78% 0.75% 0.73% 0.71% 0.70% 0.68% 0.66% 0.64%
-2.3 1.07% 1.04% 1.02% 0.99% 0.96% 0.94% 0.91% 0.89% 0.87% 0.84%
-2.2 1.39% 1.36% 1.32% 1.29% 1.26% 1.22% 1.19% 1.16% 1.13% 1.10%
-2.1 1.79% 1.74% 1.70% 1.66% 1.62% 1.58% 1.54% 1.50% 1.46% 1.43%
-2.0 2.28% 2.22% 2.17% 2.12% 2.07% 2.02% 1.97% 1.92% 1.88% 1.83%
-1.9 2.87% 2.81% 2.74% 2.68% 2.62% 2.56% 2.50% 2.44% 2.39% 2.33%
-1.8 3.59% 3.52% 3.44% 3.36% 3.29% 3.22% 3.14% 3.07% 3.01% 2.94%
-1.7 4.46% 4.36% 4.27% 4.18% 4.09% 4.01% 3.92% 3.84% 3.75% 3.67%
-1.6 5.48% 5.37% 5.26% 5.16% 5.05% 4.95% 4.85% 4.75% 4.65% 4.55%
-1.5 6.68% 6.55% 6.43% 6.30% 6.18% 6.06% 5.94% 5.82% 5.71% 5.59%
-1.4 8.08% 7.93% 7.78% 7.64% 7.49% 7.35% 7.22% 7.08% 6.94% 6.81%
-1.3 9.68% 9.51% 9.34% 9.18% 9.01% 8.85% 8.69% 8.53% 8.38% 8.23%
-1.2 11.51% 11.31% 11.12% 10.94% 10.75% 10.57% 10.38% 10.20% 10.03% 9.85%
-1.1 13.57% 13.35% 13.14% 12.92% 12.71% 12.51% 12.30% 12.10% 11.90% 11.70%
-1.0 15.87% 15.63% 15.39% 15.15% 14.92% 14.69% 14.46% 14.23% 14.01% 13.79%
-0.9 18.41% 18.14% 17.88% 17.62% 17.36% 17.11% 16.85% 16.60% 16.35% 16.11%
-0.8 21.19% 20.90% 20.61% 20.33% 20.05% 19.77% 19.49% 19.22% 18.94% 18.67%
-0.7 24.20% 23.89% 23.58% 23.27% 22.97% 22.66% 22.36% 22.07% 21.77% 21.48%
-0.6 27.43% 27.09% 26.76% 26.44% 26.11% 25.79% 25.46% 25.14% 24.83% 24.51%
-0.5 30.85% 30.50% 30.15% 29.81% 29.46% 29.12% 28.77% 28.43% 28.10% 27.76%
-0.4 34.46% 34.09% 33.72% 33.36% 33.00% 32.64% 32.28% 31.92% 31.56% 31.21%
-0.3 38.21% 37.83% 37.45% 37.07% 36.69% 36.32% 35.94% 35.57% 35.20% 34.83%
-0.2 42.07% 41.68% 41.29% 40.91% 40.52% 40.13% 39.74% 39.36% 38.97% 38.59%
-0.1 46.02% 45.62% 45.22% 44.83% 44.43% 44.04% 43.64% 43.25% 42.86% 42.47%
0.0 50.00% 50.40% 50.80% 51.20% 51.60% 51.99% 52.39% 52.79% 53.19% 53.59%
0.1 53.98% 54.38% 54.78% 55.17% 55.57% 55.96% 56.36% 56.75% 57.14% 57.54%
0.2 57.93% 58.32% 58.71% 59.10% 59.48% 59.87% 60.26% 60.64% 61.03% 61.41%
0.3 61.79% 62.17% 62.55% 62.93% 63.31% 63.68% 64.06% 64.43% 64.80% 65.17%
0.4 65.54% 65.91% 66.28% 66.64% 67.00% 67.36% 67.72% 68.08% 68.44% 68.79%
0.5 69.15% 69.50% 69.85% 70.19% 70.54% 70.88% 71.23% 71.57% 71.90% 72.24%
0.6 72.58% 72.91% 73.24% 73.57% 73.89% 74.22% 74.54% 74.86% 75.18% 75.49%
0.7 75.80% 76.12% 76.42% 76.73% 77.04% 77.34% 77.64% 77.94% 78.23% 78.52%
0.8 78.81% 79.10% 79.39% 79.67% 79.96% 80.23% 80.51% 80.79% 81.06% 81.33%
0.9 81.59% 81.86% 82.12% 82.38% 82.64% 82.89% 83.15% 83.40% 83.65% 83.89%
1.0 84.13% 84.38% 84.61% 84.85% 85.08% 85.31% 85.54% 85.77% 85.99% 86.21%
1.1 86.43% 86.65% 86.86% 87.08% 87.29% 87.49% 87.70% 87.90% 88.10% 88.30%
1.2 88.49% 88.69% 88.88% 89.07% 89.25% 89.44% 89.62% 89.80% 89.97% 90.15%
1.3 90.32% 90.49% 90.66% 90.82% 90.99% 91.15% 91.31% 91.47% 91.62% 91.77%
1.4 91.92% 92.07% 92.22% 92.36% 92.51% 92.65% 92.79% 92.92% 93.06% 93.19%
1.5 93.32% 93.45% 93.57% 93.70% 93.82% 93.94% 94.06% 94.18% 94.30% 94.41%
1.6 94.52% 94.63% 94.74% 94.85% 94.95% 95.05% 95.15% 95.25% 95.35% 95.45%
1.7 95.54% 95.64% 95.73% 95.82% 95.91% 95.99% 96.08% 96.16% 96.25% 96.33%
1.8 96.41% 96.49% 96.56% 96.64% 96.71% 96.78% 96.86% 96.93% 97.00% 97.06%
1.9 97.13% 97.19% 97.26% 97.32% 97.38% 97.44% 97.50% 97.56% 97.62% 97.67%
2.0 97.73% 97.78% 97.83% 97.88% 97.93% 97.98% 98.03% 98.08% 98.12% 98.17%
2.1 98.21% 98.26% 98.30% 98.34% 98.38% 98.42% 98.46% 98.50% 98.54% 98.57%
2.2 98.61% 98.65% 98.68% 98.71% 98.75% 98.78% 98.81% 98.84% 98.87% 98.90%
2.3 98.93% 98.96% 98.98% 99.01% 99.04% 99.06% 99.09% 99.11% 99.13% 99.16%
2.4 99.18% 99.20% 99.22% 99.25% 99.27% 99.29% 99.31% 99.32% 99.34% 99.36%
2.5 99.38% 99.40% 99.41% 99.43% 99.45% 99.46% 99.48% 99.49% 99.51% 99.52%
2.6 99.53% 99.55% 99.56% 99.57% 99.59% 99.60% 99.61% 99.62% 99.63% 99.64%
2.7 99.65% 99.66% 99.67% 99.68% 99.69% 99.70% 99.71% 99.72% 99.73% 99.74%
2.8 99.74% 99.75% 99.76% 99.77% 99.77% 99.78% 99.79% 99.80% 99.80% 99.81%
2.9 99.81% 99.82% 99.83% 99.83% 99.84% 99.84% 99.85% 99.85% 99.86% 99.86%
3.0 99.87% 99.87% 99.87% 99.88% 99.88% 99.89% 99.89% 99.89% 99.90% 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.

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