Percentiles de peso infantil para la edad según la OMS (<24 meses)

 
Datos
 
Sexo Mujer

Hombre
Edad  
Peso  

 
Resultados
 
 
Puntuación Z  
Percentil  
 
Precisión en decimales  
 
Notas
  • Los percentiles de peso se interpretan mejor en referencia a la altura (ver la calculadora para los Percentiles de peso infantil para la longitud en niños menores de 24 meses).
  • En los extremos (percentil >97.º o percentil <3.º), las diferencias pequeñas en los percentiles representan diferencias clínicamente importantes. En estos extremos, el puntaje Z es un reflejo más preciso de cuán lejos se desvía la medición de la media y es una herramienta útil para hacer un seguimiento de los cambios.
  • Los datos de LMS que usa esta calculadora se muestran en la tabla de datos a continuación.
  • Para todas las tablas de LMS, la fila en la tabla correspondiente al valor específico del paciente se encuentra en la primera columna de la tabla; se recuperan los valores a utilizar para L (la potencia de Box-Cox), M (la mediana) y S (el coeficiente de variación generalizado) en la ecuación del puntaje Z.
  • Los puntajes Z se pueden usar para hacer una búsqueda de la tabla para el percentil correspondiente en los percentiles de la tabla normal para la tabla de puntaje Z (más abajo). Los números en el lado izquierdo (eje Y) de la tabla representan el primer número y el primer número decimal del puntaje Z, mientras que los números en la parte superior (eje X) de la tabla representan el segundo decimal del puntaje Z.

 
Ecuaciones utilizadas
 
PuntuaciónZ = ((Peso/M)L - 1) / (L * S)
Percentil = Zparapercentil(PuntuaciónZ)

 

 
Referencias
  1. LMS Parameters for Girls: Weight-for-age. World Health Organization 2006, Child Growth Standards.
  2. LMS Parameters for Boys: Weight-for-age. World Health Organization 2006, Child Growth Standards.

 

LMS Parameters for Girls: Weight-for-age

 
Age [months] Power [L] Median [M] Variation [S]
0 0.3809 3.2322 0.14171
1 0.1714 4.1873 0.13724
2 0.0962 5.1282 0.13000
3 0.0402 5.8458 0.12619
4 -0.0050 6.4237 0.12402
5 -0.0430 6.8985 0.12274
6 -0.0756 7.2970 0.12204
7 -0.1039 7.6422 0.12178
8 -0.1288 7.9487 0.12181
9 -0.1507 8.2254 0.12199
10 -0.1700 8.4800 0.12223
11 -0.1872 8.7192 0.12247
12 -0.2024 8.9481 0.12268
13 -0.2158 9.1699 0.12283
14 -0.2278 9.3870 0.12294
15 -0.2384 9.6008 0.12299
16 -0.2478 9.8124 0.12303
17 -0.2562 10.0226 0.12306
18 -0.2637 10.2315 0.12309
19 -0.2703 10.4393 0.12315
20 -0.2762 10.6464 0.12323
21 -0.2815 10.8534 0.12335
22 -0.2862 11.0608 0.12350
23 -0.2903 11.2688 0.12369
24 -0.2941 11.4775 0.12390

 

LMS Parameters for Boys: Weight-for-age

 
Age [months] Power [L] Median [M] Variation [S]
0 0.3487 3.3464 0.14602
1 0.2297 4.4709 0.13395
2 0.1970 5.5675 0.12385
3 0.1738 6.3762 0.11727
4 0.1553 7.0023 0.11316
5 0.1395 7.5105 0.11080
6 0.1257 7.9340 0.10958
7 0.1134 8.2970 0.10902
8 0.1021 8.6151 0.10882
9 0.0917 8.9014 0.10881
10 0.0820 9.1649 0.10891
11 0.0730 9.4122 0.10906
12 0.0644 9.6479 0.10925
13 0.0563 9.8749 0.10949
14 0.0487 10.0953 0.10976
15 0.0413 10.3108 0.11007
16 0.0343 10.5228 0.11041
17 0.0275 10.7319 0.11079
18 0.0211 10.9385 0.11119
19 0.0148 11.1430 0.11164
20 0.0087 11.3462 0.11211
21 0.0029 11.5486 0.11261
22 -0.0028 11.7504 0.11314
23 -0.0083 11.9514 0.11369
24 -0.0137 12.1515 0.11426

 

Z-score to percentile table

 
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%

 

 
 
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