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تعداد آیتم قابل مشاهده باقیمانده : -12 مورد

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


 Calculator: Assessment of malnutrition in males, 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, males 0 to 24 months, WHO growth standard

 
Age [months] Power [L] Median [M] Variation [S]
0 1 49.8842 0.0379
1 1 54.7244 0.0356
2 1 58.4249 0.0342
3 1 61.4292 0.0333
4 1 63.8860 0.0326
5 1 65.9026 0.0320
6 1 67.6236 0.0316
7 1 69.1645 0.0314
8 1 70.5994 0.0312
9 1 71.9687 0.0312
10 1 73.2812 0.0312
11 1 74.5388 0.0312
12 1 75.7488 0.0314
13 1 76.9186 0.0315
14 1 78.0497 0.0317
15 1 79.1458 0.0320
16 1 80.2113 0.0322
17 1 81.2487 0.0325
18 1 82.2587 0.0328
19 1 83.2418 0.0331
20 1 84.1996 0.0334
21 1 85.1348 0.0338
22 1 86.0477 0.0341
23 1 86.9410 0.0345
24 1 87.8161 0.0348

 

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

 
Length [cm] Power [L] Median [M] Variation [S]
45.0 -0.3521 2.4410 0.0918
45.5 -0.3521 2.5244 0.0915
46.0 -0.3521 2.6077 0.0912
46.5 -0.3521 2.6913 0.0909
47.0 -0.3521 2.7755 0.0906
47.5 -0.3521 2.8609 0.0904
48.0 -0.3521 2.9480 0.0901
48.5 -0.3521 3.0377 0.0898
49.0 -0.3521 3.1308 0.0895
49.5 -0.3521 3.2276 0.0892
50.0 -0.3521 3.3278 0.0889
50.5 -0.3521 3.4311 0.0886
51.0 -0.3521 3.5376 0.0883
51.5 -0.3521 3.6477 0.0880
52.0 -0.3521 3.7620 0.0877
52.5 -0.3521 3.8814 0.0874
53.0 -0.3521 4.0060 0.0871
53.5 -0.3521 4.1354 0.0868
54.0 -0.3521 4.2693 0.0865
54.5 -0.3521 4.4066 0.0862
55.0 -0.3521 4.5467 0.0859
55.5 -0.3521 4.6892 0.0856
56.0 -0.3521 4.8338 0.0853
56.5 -0.3521 4.9796 0.0851
57.0 -0.3521 5.1259 0.0848
57.5 -0.3521 5.2721 0.0846
58.0 -0.3521 5.4180 0.0843
58.5 -0.3521 5.5632 0.0841
59.0 -0.3521 5.7074 0.0838
59.5 -0.3521 5.8501 0.0836
60.0 -0.3521 5.9907 0.0834
60.5 -0.3521 6.1284 0.0832
61.0 -0.3521 6.2632 0.0831
61.5 -0.3521 6.3954 0.0829
62.0 -0.3521 6.5251 0.0828
62.5 -0.3521 6.6527 0.0827
63.0 -0.3521 6.7786 0.0825
63.5 -0.3521 6.9028 0.0824
64.0 -0.3521 7.0255 0.0824
64.5 -0.3521 7.1467 0.0823
65.0 -0.3521 7.2666 0.0822
65.5 -0.3521 7.3854 0.0822
66.0 -0.3521 7.5034 0.0822
66.5 -0.3521 7.6206 0.0821
67.0 -0.3521 7.7370 0.0821
67.5 -0.3521 7.8526 0.0821
68.0 -0.3521 7.9674 0.0821
68.5 -0.3521 8.0816 0.0822
69.0 -0.3521 8.1955 0.0822
69.5 -0.3521 8.3092 0.0822
70.0 -0.3521 8.4227 0.0823
70.5 -0.3521 8.5358 0.0824
71.0 -0.3521 8.6480 0.0824
71.5 -0.3521 8.7594 0.0825
72.0 -0.3521 8.8697 0.0825
72.5 -0.3521 8.9788 0.0826
73.0 -0.3521 9.0865 0.0827
73.5 -0.3521 9.1927 0.0828
74.0 -0.3521 9.2974 0.0828
74.5 -0.3521 9.4010 0.0829
75.0 -0.3521 9.5032 0.0829
75.5 -0.3521 9.6041 0.0830
76.0 -0.3521 9.7033 0.0831
76.5 -0.3521 9.8007 0.0831
77.0 -0.3521 9.8963 0.0831
77.5 -0.3521 9.9902 0.0832
78.0 -0.3521 10.0827 0.0832
78.5 -0.3521 10.1741 0.0832
79.0 -0.3521 10.2649 0.0832
79.5 -0.3521 10.3558 0.0831
80.0 -0.3521 10.4475 0.0831
80.5 -0.3521 10.5405 0.0830
81.0 -0.3521 10.6352 0.0829
81.5 -0.3521 10.7322 0.0828
82.0 -0.3521 10.8321 0.0827
82.5 -0.3521 10.9350 0.0826
83.0 -0.3521 11.0415 0.0825
83.5 -0.3521 11.1516 0.0823
84.0 -0.3521 11.2651 0.0822
84.5 -0.3521 11.3817 0.0820
85.0 -0.3521 11.5007 0.0818
85.5 -0.3521 11.6218 0.0816
86.0 -0.3521 11.7444 0.0814
86.5 -0.3521 11.8678 0.0813
87.0 -0.3521 11.9916 0.0811
87.5 -0.3521 12.1152 0.0810
88.0 -0.3521 12.2382 0.0808
88.5 -0.3521 12.3603 0.0807
89.0 -0.3521 12.4815 0.0806
89.5 -0.3521 12.6017 0.0805
90.0 -0.3521 12.7209 0.0804
90.5 -0.3521 12.8392 0.0803
91.0 -0.3521 12.9569 0.0803
91.5 -0.3521 13.0742 0.0803
92.0 -0.3521 13.1910 0.0803
92.5 -0.3521 13.3075 0.0803
93.0 -0.3521 13.4239 0.0803
93.5 -0.3521 13.5404 0.0803
94.0 -0.3521 13.6572 0.0803
94.5 -0.3521 13.7746 0.0804
95.0 -0.3521 13.8928 0.0805
95.5 -0.3521 14.0120 0.0806
96.0 -0.3521 14.1325 0.0807
96.5 -0.3521 14.2544 0.0808
97.0 -0.3521 14.3782 0.0809
97.5 -0.3521 14.5038 0.0811
98.0 -0.3521 14.6316 0.0812
98.5 -0.3521 14.7614 0.0814
99.0 -0.3521 14.8934 0.0816
99.5 -0.3521 15.0275 0.0818
100.0 -0.3521 15.1637 0.0820
100.5 -0.3521 15.3018 0.0822
101.0 -0.3521 15.4419 0.0824
101.5 -0.3521 15.5838 0.0827
102.0 -0.3521 15.7276 0.0829
102.5 -0.3521 15.8732 0.0832
103.0 -0.3521 16.0206 0.0834
103.5 -0.3521 16.1697 0.0837
104.0 -0.3521 16.3204 0.0840
104.5 -0.3521 16.4728 0.0843
105.0 -0.3521 16.6268 0.0845
105.5 -0.3521 16.7826 0.0848
106.0 -0.3521 16.9401 0.0851
106.5 -0.3521 17.0995 0.0854
107.0 -0.3521 17.2607 0.0857
107.5 -0.3521 17.4237 0.0860
108.0 -0.3521 17.5885 0.0863
108.5 -0.3521 17.7553 0.0866
109.0 -0.3521 17.9242 0.0869
109.5 -0.3521 18.0954 0.0872
110.0 -0.3521 18.2689 0.0876

 

 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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