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Calculator: Assessment of malnutrition in females, 0 to 24 months (WHO)


 Calculator: Assessment of malnutrition in females, 0 to 24 months (WHO)

 
Input
 
Age  
Length  
Weight  

 
Results
 
Important: Inputs must be complete to perform calculation.

 
 
Z-score length-for-age  
Z-score weight-for-length  
Length-for-age percentile  
Weight-for-length percentile  
 
Decimal precision  

 

 

 Assessment of linear growth

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

 

 

 Assessment of weight-for-length

 
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.
  • This calculator uses measured recumbent length for infants and toddlers from birth through 24 months of age and is not valid for standing height.
  • 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 length-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 length-for-age = ((Length/M)L - 1) / (L * S)
Z-score weight-for-length = ((Weight/M)L - 1) / (L * S)
Length-for-age percentile = ZtoPercentile(Z-score length-for-age)
Weight-for-length percentile = ZtoPercentile(Z-score weight-for-length)

 

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

 

 LMS table: Length-for-age percentiles, females 0 to 24 months, WHO growth standard

 
Age [months] Power [L] Median [M] Variation [S]
0 1 49.1477 0.0379
1 1 53.6872 0.0364
2 1 57.0673 0.0357
3 1 59.8029 0.0352
4 1 62.0899 0.0349
5 1 64.0301 0.0346
6 1 65.7311 0.0345
7 1 67.2873 0.0344
8 1 68.7498 0.0344
9 1 70.1435 0.0344
10 1 71.4818 0.0345
11 1 72.7710 0.0346
12 1 74.0150 0.0348
13 1 75.2176 0.0350
14 1 76.3817 0.0351
15 1 77.5099 0.0353
16 1 78.6055 0.0355
17 1 79.6710 0.0358
18 1 80.7079 0.0360
19 1 81.7182 0.0362
20 1 82.7036 0.0364
21 1 83.6654 0.0367
22 1 84.6040 0.0369
23 1 85.5202 0.0371
24 1 86.4153 0.0373

 

 LMS table: Weight-for-length percentiles, females 45 to 110 cm, WHO growth standard

 
Length [cm] Power [L] Median [M] Variation [S]
45.0 -0.3833 2.4607 0.0903
45.5 -0.3833 2.5457 0.0903
46.0 -0.3833 2.6306 0.0904
46.5 -0.3833 2.7155 0.0904
47.0 -0.3833 2.8007 0.0904
47.5 -0.3833 2.8867 0.0905
48.0 -0.3833 2.9741 0.0905
48.5 -0.3833 3.0636 0.0906
49.0 -0.3833 3.1560 0.0906
49.5 -0.3833 3.2520 0.0906
50.0 -0.3833 3.3518 0.0907
50.5 -0.3833 3.4557 0.0907
51.0 -0.3833 3.5636 0.0908
51.5 -0.3833 3.6754 0.0908
52.0 -0.3833 3.7911 0.0909
52.5 -0.3833 3.9105 0.0909
53.0 -0.3833 4.0332 0.0909
53.5 -0.3833 4.1591 0.0910
54.0 -0.3833 4.2875 0.0910
54.5 -0.3833 4.4179 0.0911
55.0 -0.3833 4.5498 0.0911
55.5 -0.3833 4.6827 0.0911
56.0 -0.3833 4.8162 0.0912
56.5 -0.3833 4.9500 0.0912
57.0 -0.3833 5.0837 0.0912
57.5 -0.3833 5.2173 0.0913
58.0 -0.3833 5.3507 0.0913
58.5 -0.3833 5.4834 0.0913
59.0 -0.3833 5.6151 0.0913
59.5 -0.3833 5.7454 0.0914
60.0 -0.3833 5.8742 0.0914
60.5 -0.3833 6.0014 0.0914
61.0 -0.3833 6.1270 0.0914
61.5 -0.3833 6.2511 0.0914
62.0 -0.3833 6.3738 0.0914
62.5 -0.3833 6.4948 0.0913
63.0 -0.3833 6.6144 0.0913
63.5 -0.3833 6.7328 0.0913
64.0 -0.3833 6.8501 0.0913
64.5 -0.3833 6.9662 0.0912
65.0 -0.3833 7.0812 0.0912
65.5 -0.3833 7.1950 0.0911
66.0 -0.3833 7.3076 0.0911
66.5 -0.3833 7.4189 0.0911
67.0 -0.3833 7.5288 0.0910
67.5 -0.3833 7.6375 0.0910
68.0 -0.3833 7.7448 0.0909
68.5 -0.3833 7.8509 0.0909
69.0 -0.3833 7.9559 0.0908
69.5 -0.3833 8.0599 0.0907
70.0 -0.3833 8.1630 0.0907
70.5 -0.3833 8.2651 0.0906
71.0 -0.3833 8.3666 0.0906
71.5 -0.3833 8.4676 0.0905
72.0 -0.3833 8.5679 0.0904
72.5 -0.3833 8.6674 0.0904
73.0 -0.3833 8.7661 0.0903
73.5 -0.3833 8.8638 0.0902
74.0 -0.3833 8.9601 0.0902
74.5 -0.3833 9.0552 0.0901
75.0 -0.3833 9.1490 0.0901
75.5 -0.3833 9.2418 0.0900
76.0 -0.3833 9.3337 0.0899
76.5 -0.3833 9.4252 0.0898
77.0 -0.3833 9.5166 0.0898
77.5 -0.3833 9.6086 0.0897
78.0 -0.3833 9.7015 0.0896
78.5 -0.3833 9.7957 0.0896
79.0 -0.3833 9.8915 0.0895
79.5 -0.3833 9.9892 0.0895
80.0 -0.3833 10.0891 0.0894
80.5 -0.3833 10.1916 0.0893
81.0 -0.3833 10.2965 0.0893
81.5 -0.3833 10.4041 0.0892
82.0 -0.3833 10.5140 0.0892
82.5 -0.3833 10.6263 0.0891
83.0 -0.3833 10.7410 0.0891
83.5 -0.3833 10.8578 0.0891
84.0 -0.3833 10.9767 0.0890
84.5 -0.3833 11.0974 0.0890
85.0 -0.3833 11.2198 0.0890
85.5 -0.3833 11.3435 0.0890
86.0 -0.3833 11.4684 0.0890
86.5 -0.3833 11.5940 0.0890
87.0 -0.3833 11.7201 0.0890
87.5 -0.3833 11.8461 0.0890
88.0 -0.3833 11.9720 0.0890
88.5 -0.3833 12.0976 0.0890
89.0 -0.3833 12.2229 0.0890
89.5 -0.3833 12.3477 0.0890
90.0 -0.3833 12.4723 0.0891
90.5 -0.3833 12.5965 0.0891
91.0 -0.3833 12.7205 0.0891
91.5 -0.3833 12.8443 0.0892
92.0 -0.3833 12.9681 0.0892
92.5 -0.3833 13.0920 0.0893
93.0 -0.3833 13.2158 0.0893
93.5 -0.3833 13.3399 0.0894
94.0 -0.3833 13.4643 0.0895
94.5 -0.3833 13.5892 0.0896
95.0 -0.3833 13.7146 0.0896
95.5 -0.3833 13.8408 0.0897
96.0 -0.3833 13.9676 0.0898
96.5 -0.3833 14.0953 0.0899
97.0 -0.3833 14.2239 0.0900
97.5 -0.3833 14.3537 0.0901
98.0 -0.3833 14.4848 0.0902
98.5 -0.3833 14.6174 0.0903
99.0 -0.3833 14.7519 0.0904
99.5 -0.3833 14.8882 0.0906
100.0 -0.3833 15.0267 0.0907
100.5 -0.3833 15.1676 0.0908
101.0 -0.3833 15.3108 0.0910
101.5 -0.3833 15.4564 0.0911
102.0 -0.3833 15.6046 0.0912
102.5 -0.3833 15.7553 0.0914
103.0 -0.3833 15.9087 0.0916
103.5 -0.3833 16.0645 0.0917
104.0 -0.3833 16.2229 0.0919
104.5 -0.3833 16.3837 0.0920
105.0 -0.3833 16.5470 0.0922
105.5 -0.3833 16.7129 0.0924
106.0 -0.3833 16.8814 0.0925
106.5 -0.3833 17.0527 0.0927
107.0 -0.3833 17.2269 0.0929
107.5 -0.3833 17.4039 0.0931
108.0 -0.3833 17.5839 0.0933
108.5 -0.3833 17.7668 0.0934
109.0 -0.3833 17.9526 0.0936
109.5 -0.3833 18.1412 0.0938
110.0 -0.3833 18.3324 0.0940

 

 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.

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