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


Calculator: WHO assessment of malnutrition in females 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, girls 2 to 5 years, WHO growth standards

 
Age [months] Power [L] Median [M] Variation [S]
24 1 85.7153 0.03764
25 1 86.5904 0.03786
26 1 87.4462 0.03808
27 1 88.2830 0.03830
28 1 89.1004 0.03851
29 1 89.8991 0.03872
30 1 90.6797 0.03893
31 1 91.4430 0.03913
32 1 92.1906 0.03933
33 1 92.9239 0.03952
34 1 93.6444 0.03971
35 1 94.3533 0.03989
36 1 95.0515 0.04006
37 1 95.7399 0.04024
38 1 96.4187 0.04041
39 1 97.0885 0.04057
40 1 97.7493 0.04073
41 1 98.4015 0.04089
42 1 99.0448 0.04105
43 1 99.6795 0.04120
44 1 100.3058 0.04135
45 1 100.9238 0.04150
46 1 101.5337 0.04164
47 1 102.1360 0.04179
48 1 102.7312 0.04193
49 1 103.3197 0.04206
50 1 103.9021 0.04220
51 1 104.4786 0.04233
52 1 105.0494 0.04246
53 1 105.6148 0.04259
54 1 106.1748 0.04272
55 1 106.7295 0.04285
56 1 107.2788 0.04298
57 1 107.8227 0.04310
58 1 108.3613 0.04322
59 1 108.8948 0.04334
60 1 109.4233 0.04347

 

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

 
Height [cm] Power [L] Median [M] Variation [S]
65 -0.3833 7.2402 0.09113
65.5 -0.3833 7.3523 0.09109
66 -0.3833 7.4630 0.09104
66.5 -0.3833 7.5724 0.09099
67 -0.3833 7.6806 0.09094
67.5 -0.3833 7.7874 0.09088
68 -0.3833 7.8930 0.09083
68.5 -0.3833 7.9976 0.09077
69 -0.3833 8.1012 0.09071
69.5 -0.3833 8.2039 0.09065
70 -0.3833 8.3058 0.09059
70.5 -0.3833 8.4071 0.09053
71 -0.3833 8.5078 0.09047
71.5 -0.3833 8.6078 0.09041
72 -0.3833 8.7070 0.09035
72.5 -0.3833 8.8053 0.09028
73 -0.3833 8.9025 0.09022
73.5 -0.3833 8.9983 0.09016
74 -0.3833 9.0928 0.09009
74.5 -0.3833 9.1862 0.09003
75 -0.3833 9.2786 0.08996
75.5 -0.3833 9.3703 0.08989
76 -0.3833 9.4617 0.08983
76.5 -0.3833 9.5533 0.08976
77 -0.3833 9.6456 0.08969
77.5 -0.3833 9.7390 0.08963
78 -0.3833 9.8338 0.08956
78.5 -0.3833 9.9303 0.08950
79 -0.3833 10.0289 0.08943
79.5 -0.3833 10.1298 0.08937
80 -0.3833 10.2332 0.08932
80.5 -0.3833 10.3393 0.08926
81 -0.3833 10.4477 0.08921
81.5 -0.3833 10.5586 0.08916
82 -0.3833 10.6719 0.08912
82.5 -0.3833 10.7874 0.08908
83 -0.3833 10.9051 0.08905
83.5 -0.3833 11.0248 0.08902
84 -0.3833 11.1462 0.08899
84.5 -0.3833 11.2691 0.08897
85 -0.3833 11.3934 0.08896
85.5 -0.3833 11.5186 0.08895
86 -0.3833 11.6444 0.08895
86.5 -0.3833 11.7705 0.08895
87 -0.3833 11.8965 0.08896
87.5 -0.3833 12.0223 0.08897
88 -0.3833 12.1478 0.08899
88.5 -0.3833 12.2729 0.08901
89 -0.3833 12.3976 0.08904
89.5 -0.3833 12.5220 0.08907
90 -0.3833 12.6461 0.08911
90.5 -0.3833 12.7700 0.08915
91 -0.3833 12.8939 0.08920
91.5 -0.3833 13.0177 0.08925
92 -0.3833 13.1415 0.08931
92.5 -0.3833 13.2654 0.08937
93 -0.3833 13.3896 0.08944
93.5 -0.3833 13.5142 0.08951
94 -0.3833 13.6393 0.08959
94.5 -0.3833 13.7650 0.08967
95 -0.3833 13.8914 0.08975
95.5 -0.3833 14.0186 0.08984
96 -0.3833 14.1466 0.08994
96.5 -0.3833 14.2757 0.09004
97 -0.3833 14.4059 0.09015
97.5 -0.3833 14.5376 0.09026
98 -0.3833 14.6710 0.09037
98.5 -0.3833 14.8062 0.09049
99 -0.3833 14.9434 0.09062
99.5 -0.3833 15.0828 0.09075
100 -0.3833 15.2246 0.09088
100.5 -0.3833 15.3687 0.09102
101 -0.3833 15.5154 0.09116
101.5 -0.3833 15.6646 0.09131
102 -0.3833 15.8164 0.09146
102.5 -0.3833 15.9707 0.09161
103 -0.3833 16.1276 0.09177
103.5 -0.3833 16.2870 0.09193
104 -0.3833 16.4488 0.09209
104.5 -0.3833 16.6131 0.09226
105 -0.3833 16.7800 0.09243
105.5 -0.3833 16.9496 0.09261
106 -0.3833 17.1220 0.09278
106.5 -0.3833 17.2973 0.09296
107 -0.3833 17.4755 0.09315
107.5 -0.3833 17.6567 0.09333
108 -0.3833 17.8407 0.09352
108.5 -0.3833 18.0277 0.09371
109 -0.3833 18.2174 0.09390
109.5 -0.3833 18.4096 0.09409
110 -0.3833 18.6043 0.09428
110.5 -0.3833 18.8015 0.09448
111 -0.3833 19.0009 0.09467
111.5 -0.3833 19.2024 0.09487
112 -0.3833 19.4060 0.09507
112.5 -0.3833 19.6116 0.09527
113 -0.3833 19.8190 0.09546
113.5 -0.3833 20.0280 0.09566
114 -0.3833 20.2385 0.09586
114.5 -0.3833 20.4502 0.09606
115 -0.3833 20.6629 0.09626
115.5 -0.3833 20.8766 0.09646
116 -0.3833 21.0909 0.09666
116.5 -0.3833 21.3059 0.09686
117 -0.3833 21.5213 0.09707
117.5 -0.3833 21.7370 0.09727
118 -0.3833 21.9529 0.09747
118.5 -0.3833 22.1690 0.09767
119 -0.3833 22.3851 0.09788
119.5 -0.3833 22.6012 0.09808
120 -0.3833 22.8173 0.09828

 

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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