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Calculator: WHO assessment of malnutrition in females 0 to 2 years old


Calculator: WHO assessment of malnutrition in females 0 to 2 years old

 
Input
 
Age  
Length  
Weight  

 
Results
 
Important: Inputs must be complete to perform calculation.

 
 
Z-score length  
Z-score weight for length  
Length 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
  • 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.
  • 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.
  • The accuracy of the calculation can be assessed by viewing the graphs of length-for-age and weight-for-length 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 length = ((Length/M)L - 1) / (L * S)
Z-score weight for length = ((Weight/M)L - 1) / (L * S)
Length_percentile = ZtoPercentile(Z-score length)
Weight_for_length_percentile = ZtoPercentile(Z-score weight for length)

 

 
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: Length-for-age percentiles, girls 0 to 24 months, WHO growth standards

 
Age [months] Power [L] Median [M] Variation [S]
0 1 49.1477 0.03790
1 1 53.6872 0.03640
2 1 57.0673 0.03568
3 1 59.8029 0.03520
4 1 62.0899 0.03486
5 1 64.0301 0.03463
6 1 65.7311 0.03448
7 1 67.2873 0.03441
8 1 68.7498 0.03440
9 1 70.1435 0.03444
10 1 71.4818 0.03452
11 1 72.7710 0.03464
12 1 74.0150 0.03479
13 1 75.2176 0.03496
14 1 76.3817 0.03514
15 1 77.5099 0.03534
16 1 78.6055 0.03555
17 1 79.6710 0.03576
18 1 80.7079 0.03598
19 1 81.7182 0.03620
20 1 82.7036 0.03643
21 1 83.6654 0.03666
22 1 84.6040 0.03688
23 1 85.5202 0.03711
24 1 86.4153 0.03734

 

LMS table: Weight-for-length percentiles, girls 0 to 24 months, WHO growth standards

 
Length [cm] Power [L] Median[M] Variation [S]
45 -0.3833 2.4607 0.09029
45.5 -0.3833 2.5457 0.09033
46 -0.3833 2.6306 0.09037
46.5 -0.3833 2.7155 0.09040
47 -0.3833 2.8007 0.09044
47.5 -0.3833 2.8867 0.09048
48 -0.3833 2.9741 0.09052
48.5 -0.3833 3.0636 0.09056
49 -0.3833 3.1560 0.09060
49.5 -0.3833 3.2520 0.09064
50 -0.3833 3.3518 0.09068
50.5 -0.3833 3.4557 0.09072
51 -0.3833 3.5636 0.09076
51.5 -0.3833 3.6754 0.09080
52 -0.3833 3.7911 0.09085
52.5 -0.3833 3.9105 0.09089
53 -0.3833 4.0332 0.09093
53.5 -0.3833 4.1591 0.09098
54 -0.3833 4.2875 0.09102
54.5 -0.3833 4.4179 0.09106
55 -0.3833 4.5498 0.09110
55.5 -0.3833 4.6827 0.09114
56 -0.3833 4.8162 0.09118
56.5 -0.3833 4.9500 0.09121
57 -0.3833 5.0837 0.09125
57.5 -0.3833 5.2173 0.09128
58 -0.3833 5.3507 0.09130
58.5 -0.3833 5.4834 0.09132
59 -0.3833 5.6151 0.09134
59.5 -0.3833 5.7454 0.09135
60 -0.3833 5.8742 0.09136
60.5 -0.3833 6.0014 0.09137
61 -0.3833 6.1270 0.09137
61.5 -0.3833 6.2511 0.09136
62 -0.3833 6.3738 0.09135
62.5 -0.3833 6.4948 0.09133
63 -0.3833 6.6144 0.09131
63.5 -0.3833 6.7328 0.09129
64 -0.3833 6.8501 0.09126
64.5 -0.3833 6.9662 0.09123
65 -0.3833 7.0812 0.09119
65.5 -0.3833 7.1950 0.09115
66 -0.3833 7.3076 0.09110
66.5 -0.3833 7.4189 0.09106
67 -0.3833 7.5288 0.09101
67.5 -0.3833 7.6375 0.09096
68 -0.3833 7.7448 0.09090
68.5 -0.3833 7.8509 0.09085
69 -0.3833 7.9559 0.09079
69.5 -0.3833 8.0599 0.09074
70 -0.3833 8.1630 0.09068
70.5 -0.3833 8.2651 0.09062
71 -0.3833 8.3666 0.09056
71.5 -0.3833 8.4676 0.09050
72 -0.3833 8.5679 0.09043
72.5 -0.3833 8.6674 0.09037
73 -0.3833 8.7661 0.09031
73.5 -0.3833 8.8638 0.09025
74 -0.3833 8.9601 0.09018
74.5 -0.3833 9.0552 0.09012
75 -0.3833 9.1490 0.09005
75.5 -0.3833 9.2418 0.08999
76 -0.3833 9.3337 0.08992
76.5 -0.3833 9.4252 0.08985
77 -0.3833 9.5166 0.08979
77.5 -0.3833 9.6086 0.08972
78 -0.3833 9.7015 0.08965
78.5 -0.3833 9.7957 0.08959
79 -0.3833 9.8915 0.08952
79.5 -0.3833 9.9892 0.08946
80 -0.3833 10.0891 0.08940
80.5 -0.3833 10.1916 0.08934
81 -0.3833 10.2965 0.08928
81.5 -0.3833 10.4041 0.08923
82 -0.3833 10.5140 0.08918
82.5 -0.3833 10.6263 0.08914
83 -0.3833 10.7410 0.08910
83.5 -0.3833 10.8578 0.08906
84 -0.3833 10.9767 0.08903
84.5 -0.3833 11.0974 0.08900
85 -0.3833 11.2198 0.08898
85.5 -0.3833 11.3435 0.08897
86 -0.3833 11.4684 0.08895
86.5 -0.3833 11.5940 0.08895
87 -0.3833 11.7201 0.08895
87.5 -0.3833 11.8461 0.08895
88 -0.3833 11.9720 0.08896
88.5 -0.3833 12.0976 0.08898
89 -0.3833 12.2229 0.08900
89.5 -0.3833 12.3477 0.08903
90 -0.3833 12.4723 0.08906
90.5 -0.3833 12.5965 0.08909
91 -0.3833 12.7205 0.08913
91.5 -0.3833 12.8443 0.08918
92 -0.3833 12.9681 0.08923
92.5 -0.3833 13.0920 0.08928
93 -0.3833 13.2158 0.08934
93.5 -0.3833 13.3399 0.08941
94 -0.3833 13.4643 0.08948
94.5 -0.3833 13.5892 0.08955
95 -0.3833 13.7146 0.08963
95.5 -0.3833 13.8408 0.08972
96 -0.3833 13.9676 0.08981
96.5 -0.3833 14.0953 0.08990
97 -0.3833 14.2239 0.09000
97.5 -0.3833 14.3537 0.09010
98 -0.3833 14.4848 0.09021
98.5 -0.3833 14.6174 0.09033
99 -0.3833 14.7519 0.09044
99.5 -0.3833 14.8882 0.09057
100 -0.3833 15.0267 0.09069
100.5 -0.3833 15.1676 0.09083
101 -0.3833 15.3108 0.09096
101.5 -0.3833 15.4564 0.09110
102 -0.3833 15.6046 0.09125
102.5 -0.3833 15.7553 0.09139
103 -0.3833 15.9087 0.09155
103.5 -0.3833 16.0645 0.09170
104 -0.3833 16.2229 0.09186
104.5 -0.3833 16.3837 0.09203
105 -0.3833 16.5470 0.09219
105.5 -0.3833 16.7129 0.09236
106 -0.3833 16.8814 0.09254
106.5 -0.3833 17.0527 0.09271
107 -0.3833 17.2269 0.09289
107.5 -0.3833 17.4039 0.09307
108 -0.3833 17.5839 0.09326
108.5 -0.3833 17.7668 0.09344
109 -0.3833 17.9526 0.09363
109.5 -0.3833 18.1412 0.09382
110 -0.3833 18.3324 0.09401

 

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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