Poids en fonction des centiles de taille chez les garçons (dont la taille est comprise entre 77 et 121 cm) selon les CDC

 
Entrée
 
Taille  
Poids  

 
Résultats
 
 
Score Z  
Centile  
 
Précision décimale  

 

 Interprétation du poids en fonction des centiles de taille

 
Centile < 5: Insuffisance pondérale
Centile >= 5 et < 85: Poids normal
Centile >= 85 et < 95: Risque de surcharge pondérale
Centile >= 95: Surcharge pondérale

 
 

 
Notes
  • Ces normes de poids selon la stature sont proposées comme une alternative à l’IMC dans le cadre d’une évaluation de la surnutrition ou sous-nutrition chez les enfants âgés de 2 à 5 ans. Néanmoins, les professionnels de la santé doivent utiliser les diagrammes de l’IMC selon l’âge en s’assurant qu’ils sont conformes aux recommandations en vigueur.
  • Ce calculateur utilise la taille mesurée debout des enfants âgés de 2 à 5 ans, et n’est pas valable pour la taille en position allongée.
  • Aux extrêmes (supérieur au 97e centile ou inférieur au 3e centile), les petites différences de centiles représentent des différences cliniquement importantes. Au niveau de ces extrêmes, le score Z reflète de manière plus précise à quel point la mesure s’écarte de la moyenne et il constitue un outil utile pour suivre les changements.
  • Les données de LMS utilisées dans ce calculateur sont affichées dans le tableau ci-dessous.
  • Pour tous les tableaux de LMS, la ligne correspondant à la valeur spécifique au patient se trouve dans la première colonne du tableau ; les valeurs à utiliser pour L (puissance de Box-Cox), M (médiane) et S (coefficient de variation généralisé) dans l’équation pour le score Z sont extraites.
  • Les scores Z peuvent être utilisés pour faire une recherche sur le centile correspondant dans la table des centiles de la loi normale pour le tableau du score Z (ci-dessous). Les chiffres sur le côté gauche (axe Y) du tableau représentent le premier nombre et l’emplacement de la première décimale du score Z, tandis que les chiffres en haut (axe X) du tableau correspondent à l’emplacement de la deuxième décimale du score Z.

 
Équations utilisées
 
Score Z = ((Poids/M)L - 1) / (L * S)
Centile = Z à Centile(Score Z)

 

 
Références
  1. LMS Parameters for Boys: Weight for Height. National health and nutrition survey (NHANES), CDC/National Center for Health Statistics.

 

 LMS Parameters for Boys: Weight for Height

 
Length [cm] Power [L] Median [M] Variation [S]
77.5 -0.979897716 10.38901871 0.076995353
78.5 -0.943555181 10.61724901 0.076769511
79.5 -0.91080778 10.84432907 0.076564374
80.5 -0.882026316 11.07048885 0.076380766
81.5 -0.857561667 11.29597453 0.076219662
82.5 -0.837750377 11.52104655 0.07608215
83.5 -0.822919198 11.74597768 0.075969382
84.5 -0.813388595 11.97105103 0.075882537
85.5 -0.809475279 12.19655799 0.075822785
86.5 -0.811493792 12.4227963 0.075791244
87.5 -0.8197572 12.65006791 0.075788944
88.5 -0.834576932 12.87867701 0.07581679
89.5 -0.856261805 13.10892794 0.075875517
90.5 -0.885116299 13.34112314 0.075965652
91.5 -0.921432943 13.5755615 0.076087468
92.5 -0.965501267 13.81253552 0.076240931
93.5 -1.017588552 14.05233041 0.076425662
94.5 -1.077941994 14.29522185 0.07664088
95.5 -1.146773671 14.54147499 0.076885365
96.5 -1.224269596 14.79134177 0.07715739
97.5 -1.310558831 15.04506152 0.077454707
98.5 -1.405713355 15.30285949 0.077774507
99.5 -1.509717075 15.56494815 0.078113436
100.5 -1.622491233 15.83152429 0.078467542
101.5 -1.743825743 16.10277448 0.078832409
102.5 -1.873365511 16.37887678 0.079203258
103.5 -2.010641647 16.65999867 0.079574978
104.5 -2.154957918 16.94630912 0.079942558
105.5 -2.305458316 17.23797444 0.08030117
106.5 -2.461019713 17.53517134 0.080646757
107.5 -2.62033059 17.83808212 0.080976208
108.5 -2.781787762 18.14690821 0.0812881
109.5 -2.943638944 18.46185811 0.081582687
110.5 -3.103888502 18.78315936 0.081862656
111.5 -3.260482798 19.11103983 0.082132791
112.5 -3.411305599 19.44572803 0.082400213
113.5 -3.554288672 19.78744004 0.082674023
114.5 -3.687600863 20.13635563 0.082964333
115.5 -3.809599339 20.49262111 0.083282267
116.5 -3.919005213 20.85632542 0.083638758
117.5 -4.014882272 21.2274989 0.084044246
118.5 -4.096683061 21.60610366 0.084508001
119.5 -4.164160421 21.9920407 0.085038256
120.5 -4.217425718 22.3851382 0.085641503
121.5 -4.256802224 22.78516628 0.086323118

 

 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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