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


 Calculator: Assessment of malnutrition in females, 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, females 2 to 5 years, WHO growth standard

 
Age [months] Power [L] Median [M] Variation [S]
24 1 85.7153 0.0376
25 1 86.5904 0.0379
26 1 87.4462 0.0381
27 1 88.2830 0.0383
28 1 89.1004 0.0385
29 1 89.8991 0.0387
30 1 90.6797 0.0389
31 1 91.4430 0.0391
32 1 92.1906 0.0393
33 1 92.9239 0.0395
34 1 93.6444 0.0397
35 1 94.3533 0.0399
36 1 95.0515 0.0401
37 1 95.7399 0.0402
38 1 96.4187 0.0404
39 1 97.0885 0.0406
40 1 97.7493 0.0407
41 1 98.4015 0.0409
42 1 99.0448 0.0411
43 1 99.6795 0.0412
44 1 100.3058 0.0413
45 1 100.9238 0.0415
46 1 101.5337 0.0416
47 1 102.1360 0.0418
48 1 102.7312 0.0419
49 1 103.3197 0.0421
50 1 103.9021 0.0422
51 1 104.4786 0.0423
52 1 105.0494 0.0425
53 1 105.6148 0.0426
54 1 106.1748 0.0427
55 1 106.7295 0.0428
56 1 107.2788 0.0430
57 1 107.8227 0.0431
58 1 108.3613 0.0432
59 1 108.8948 0.0433
60 1 109.4233 0.0435

 

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

 
Height [cm] Power [L] Median [M] Variation [S]
65 -0.3833 7.2402 0.0911
65.5 -0.3833 7.3523 0.0911
66 -0.3833 7.4630 0.0910
66.5 -0.3833 7.5724 0.0910
67 -0.3833 7.6806 0.0909
67.5 -0.3833 7.7874 0.0909
68 -0.3833 7.8930 0.0908
68.5 -0.3833 7.9976 0.0908
69 -0.3833 8.1012 0.0907
69.5 -0.3833 8.2039 0.0906
70 -0.3833 8.3058 0.0906
70.5 -0.3833 8.4071 0.0905
71 -0.3833 8.5078 0.0905
71.5 -0.3833 8.6078 0.0904
72 -0.3833 8.7070 0.0903
72.5 -0.3833 8.8053 0.0903
73 -0.3833 8.9025 0.0902
73.5 -0.3833 8.9983 0.0902
74 -0.3833 9.0928 0.0901
74.5 -0.3833 9.1862 0.0900
75 -0.3833 9.2786 0.0900
75.5 -0.3833 9.3703 0.0899
76 -0.3833 9.4617 0.0898
76.5 -0.3833 9.5533 0.0898
77 -0.3833 9.6456 0.0897
77.5 -0.3833 9.7390 0.0896
78 -0.3833 9.8338 0.0896
78.5 -0.3833 9.9303 0.0895
79 -0.3833 10.0289 0.0894
79.5 -0.3833 10.1298 0.0894
80 -0.3833 10.2332 0.0893
80.5 -0.3833 10.3393 0.0893
81 -0.3833 10.4477 0.0892
81.5 -0.3833 10.5586 0.0892
82 -0.3833 10.6719 0.0891
82.5 -0.3833 10.7874 0.0891
83 -0.3833 10.9051 0.0891
83.5 -0.3833 11.0248 0.0890
84 -0.3833 11.1462 0.0890
84.5 -0.3833 11.2691 0.0890
85 -0.3833 11.3934 0.0890
85.5 -0.3833 11.5186 0.0890
86 -0.3833 11.6444 0.0890
86.5 -0.3833 11.7705 0.0890
87 -0.3833 11.8965 0.0890
87.5 -0.3833 12.0223 0.0890
88 -0.3833 12.1478 0.0890
88.5 -0.3833 12.2729 0.0890
89 -0.3833 12.3976 0.0890
89.5 -0.3833 12.5220 0.0891
90 -0.3833 12.6461 0.0891
90.5 -0.3833 12.7700 0.0891
91 -0.3833 12.8939 0.0892
91.5 -0.3833 13.0177 0.0892
92 -0.3833 13.1415 0.0893
92.5 -0.3833 13.2654 0.0894
93 -0.3833 13.3896 0.0894
93.5 -0.3833 13.5142 0.0895
94 -0.3833 13.6393 0.0896
94.5 -0.3833 13.7650 0.0897
95 -0.3833 13.8914 0.0897
95.5 -0.3833 14.0186 0.0898
96 -0.3833 14.1466 0.0899
96.5 -0.3833 14.2757 0.0900
97 -0.3833 14.4059 0.0901
97.5 -0.3833 14.5376 0.0903
98 -0.3833 14.6710 0.0904
98.5 -0.3833 14.8062 0.0905
99 -0.3833 14.9434 0.0906
99.5 -0.3833 15.0828 0.0907
100 -0.3833 15.2246 0.0909
100.5 -0.3833 15.3687 0.0910
101 -0.3833 15.5154 0.0912
101.5 -0.3833 15.6646 0.0913
102 -0.3833 15.8164 0.0915
102.5 -0.3833 15.9707 0.0916
103 -0.3833 16.1276 0.0918
103.5 -0.3833 16.2870 0.0919
104 -0.3833 16.4488 0.0921
104.5 -0.3833 16.6131 0.0923
105 -0.3833 16.7800 0.0924
105.5 -0.3833 16.9496 0.0926
106 -0.3833 17.1220 0.0928
106.5 -0.3833 17.2973 0.0930
107 -0.3833 17.4755 0.0931
107.5 -0.3833 17.6567 0.0933
108 -0.3833 17.8407 0.0935
108.5 -0.3833 18.0277 0.0937
109 -0.3833 18.2174 0.0939
109.5 -0.3833 18.4096 0.0941
110 -0.3833 18.6043 0.0943
110.5 -0.3833 18.8015 0.0945
111 -0.3833 19.0009 0.0947
111.5 -0.3833 19.2024 0.0949
112 -0.3833 19.4060 0.0951
112.5 -0.3833 19.6116 0.0953
113 -0.3833 19.8190 0.0955
113.5 -0.3833 20.0280 0.0957
114 -0.3833 20.2385 0.0959
114.5 -0.3833 20.4502 0.0961
115 -0.3833 20.6629 0.0963
115.5 -0.3833 20.8766 0.0965
116 -0.3833 21.0909 0.0967
116.5 -0.3833 21.3059 0.0969
117 -0.3833 21.5213 0.0971
117.5 -0.3833 21.7370 0.0973
118 -0.3833 21.9529 0.0975
118.5 -0.3833 22.1690 0.0977
119 -0.3833 22.3851 0.0979
119.5 -0.3833 22.6012 0.0981
120 -0.3833 22.8173 0.0983

 

 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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Topic 13430 Version 12.0