SciELO - Scientific Electronic Library Online

 
vol.26 número3Comparación de impendancia bioeléctrica con grosor de pliegues cutáneos y absorciometría de rayos X para mensurar la composición corporal de personas con VIH con lipodistrofiaConcordancia entre la autopercepción de la imagen corporal y el estado nutricional en universitarios de Orense índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Nutrición Hospitalaria

versión impresa ISSN 0212-1611

Nutr. Hosp. vol.26 no.3  may./jun. 2011

 

ORIGINAL

 

Comparison of NCHS, CDC and WHO growth charts in the nutritional assessment of hospitalized children up to five years old

Comparación de las curvas de crecimiento del NCHS, CDC y la OMS en la valoración nutricional de los niños hasta cinco años hospitalizados

 

 

C. R. M. Silveira1, M. G. Beghetto2, P. R. A. Carvalho3 and E. D. Mello3

1Nutritionist at the Hospital de Clínicas de Porto Alegre. Member of the Nutritional Support Team. Master's Degree in Medical Sciences: Pediatrics.
2Professor at the Nursing School, Universidade Federal do Rio Grande do Sul. Doctor's Degree in Epidemiology.
3Professor at the Medical School, Universidade Federal do Rio Grande do Sul. Doctor's Degree in Medicine: Pediatrics. Brazil.

Correspondence

 

 


ABSTRACT

Aims: This study evaluated the agreement of growth charts proposed by the National Center for Health Statistics (NCHS/1977), Centers for Disease Control and Prevention (CDC/2000) and World Health Organization (WHO/2006).
Methods: Were assessed children between 0 and 5 years old, hospitalized in the pediatric wards of a Brazilian school hospital. Z-score indexes: stature/age (S/A), weight/age (W/A) and weight/stature (W/S) was evaluated, in each of the three references (NCHS, CDC and WHO). ANOVA and test Bland & Altman and Lin plots were used in the comparison of the 3 charts. The agreement of the nutritional state categories was also evaluated, through kappa coefficient. The study was approved by the Institution's Research Ethics Committee.
Results: The study analyzed 337 children, whose median age was 0.52 (IQR: 0.21-1.65) years, 65.3% of them were below 1 year old, 60.2% were male and 50% hospitalized due to acute respiratory disease. Lower Z-scores of W/A and S/A were obtained with the WHO charts and lower W/S with the CDC chart. High correlation and agreement were observed among the criteria, but more patients were classified as presenting shortness through the WHO criteria. CDC and WHO criteria were more rigorous than the NCHS criteria for the diagnosis of underweight (W/A) and malnutrition (W/S).
Conclusion: Despite the strong agreement of the 3 charts, the adoption of the WHO charts seems to be more helpful for the children's nutritional screening for admission, as it enables to detect a higher number of malnourished children or at nutritional risk, who will benefit from an early intervention.

Key words: Children's growth. Growth charts. Hospitalized child. Malnutrition. Hospital.


RESUMEN

Objetivo: Este estudio comparó las curvas de crecimiento para la clasificación de la puntuación Z de talla/edad (T/E), peso/edad (P/E) y peso/talla (P/T) propuesto por el Centro Nacional para Estadísticas Sanitarias (NCHS, 1977), Centers for Disease Control and Prevention (CDC/2000) y la Organización Mundial de la Salud (OMS/2006).
Métodos: Niños entre 0 y 5 años de edad hospitalizados en las salas de pediatría de un hospital terciario en Brazil fueron valorados. Se utilizaron ANOVA, Bland & Altman y gráfico de Lin en la comparación de las 3 curvas de crecimiento. Las categorías del estado nutricional se evaluaron por coeficiente kappa. El estudio fue aprobado por el Comité de Ética de la institución.
Resultados: El estudio analizó 337 niños, cuya edad fue 0,52 (IQ: 0,21-1,65) años, 65,3% de ellos eran menores de 1 año de edad, 60,2% eran varones y 50% con enfermedades respiratorias agudas. Se obtuvieron puntuaciones Z más bajas de P/E y T/E con la curva de la OMS y más bajo P/T con la tabla del CDC. Fue observada fuerte concordancia entre los 3 criterios, pero más pacientes se clasificaron como "baja estatura" por los criterios de la OMS. Los criterios del CDC y OMS eran más rigurosos que las del NCHS para el diagnóstico de la insuficiencia ponderal (P/E) y la malnutrición (P/T).
Conclusión: A pesar de la fuerte concordancia de las 3 curvas, la adopción de los criterios de la OMS parece ser más útil para el diagnóstico nutricional de los niños al ingreso hospitalario. Con esto se hace posible detectar un mayor número de desnutridos o en riesgo nutricional que se beneficiarán de la intervención temprana.

Palabras clave: Crecimiento de los niños. Curvas de crecimiento. Niños hospitalizados. Desnutrición. Hospital.


Abbreviattions
WHO: World Health Organization.
NCHS: National Center for Health Statistics.
CDC: Centers for Disease Control and Prevention.
S/A: stature/age.
W/A: weight/age (W/A).
W/S: weight/stature (W/S).
SD: standard deviation.
SPSS: Statistical Package for the Social Sciences.
IQR: Interquartile range.
MGRS: Multicentre Growth Reference Study.

 

Introduction

The systematic assessment of nutritional state is an important procedure for the global health, recommended by the World Health Organization (WHO), the Brazilian Department of Health and the Brazilian Society of Pediatrics.1 This assessment can explain present and past occurrences and indicate probabilities of future risks to the child's health. For this purpose, growth charts are adopted, which relate values of weight, stature and age adjusted by gender, and where the percentiles or Z-score expected for the age are used in comparisons.

Today, three growth charts are available for the health professionals to monitor the nutritional state of children from 0 to 5 years of age: a) National Center for Health Statistics (NCHS/1977),2 b) Centers for Disease Control and Prevention (CDC/2000)3 and c) WHO/ 2006.4 For the development and validation of each of these instruments, studies were conducted in several populations, which could explain the differences found when assessing the same child through the three charts.

In the NCHS/1977 charts, all age groups and social classes were included in the group between 2 and 18 years old, but only white individuals of middle class were included in the age group between 0 and 36 months old. For the elaboration of the CDC/2000 charts, American individuals of ethnic diversity, between 0 to 20 years old, were included, upper and lower stature limits were extended, improvements in the statistical tests were made and new percentiles were presented to the 16 charts available. The instruments proposed in 2006 by the WHO, for children from 0 to 5 years old from different ethnic groups (data collected in several countries), were based on what is considered as "ideal" growth of these individuals, without economic, environmental, nutritional or genetic limitations to their development.

The children's nutritional state classification, regardless of the instrument employed, considers the percentile or Z-score to each evaluated index: stature/age (S/A), weight/age (W/A) and weight/stature (W/S).

Although developed and validated in the context of individuals not submitted to chronic and/or acute disorders, these instruments are widely used in nutritional assessment routines of hospitalized children, where the cutoff points of Z-score for risk and malnutrition could be others, given the presence of new variables.

The purpose of this study was to compare the agreement of NCHS, CDC and WHO growth charts regarding the nutritional state classification of children between 0 and 5 years old hospitalized in a general hospital of high complexity in southern Brazil.

 

Patients and methods

This study is part of a more comprehensive study that assessed the alterations in the nutritional state of 426 hospitalized children5 and was approved by the Research Ethics Committee of our Institution regarding its ethical and methodological aspects. So, this study evaluated 337 patients between 0 and 5 years of age, hospitalized between March and October 2004 in the pediatrics wards. Each patient was included only once, no matter a new hospitalization occurred in other occasions during the study period. Not included children from oncology and intensive care units, children with Down Syndrome, without clinical conditions for weight and/or stature measurement, such as those wearing cast immobilization, with muscular spasticity, bone deformity and those without a formal consent. The study was preceded by training to the research assistants on the invitation, study participation and consent obtention, proper technique of weight and stature measurements and study form filling.

This is an observational study. During the study period, no alterations were made to the routine services provided by the teams. The same study protocol was adopted for all patients; they were all evaluated in the first 48 hours of hospitalization. The patients were submitted to weight and stature measurements, always performed by two researchers, regardless of recent registrations of these data in the child's clinical records.

The body weight was measured using previously calibrated digital scales from the hospitalization division. Children up to two years old or up to 15 kg were weighted completely undressed; they were placed laying or sitting in the middle of the scale, without any external support. Taller children were weighted in light clothes or sitting in the middle of the scale, without any external support. For length measurement, children up to 2 years old were placed laying on a flat place, and a ruler with a fixed support at one end for the head positioning and a retractable support at the other end for feet positioning (procedure performed by two investigators to ensure stretched body and correct positioning). The stature was measured with an anthropometer, where the child was placed barefoot, with ankles together in contact with the vertical rod of the anthropometer, head in erect position, and the horizontal cursor of the anthropometer retracted to the highest point of the child's head.

Z-score values for indexes S/A, W/A and W/S were obtained for each child, in each of the three references (NCHS/1997, CDC/2000 and WHO/2006). For the calculations, the following applications were used EPI INFO version 3.4.3 (NCHS/1997 and CDC/2000) and ANTHRO/2006 (OMS/2006). The nutritional state was classified as: (a) malnutrition due to underweight when Z-score < -2 SD for indexes W/A and W/S, (b) shortness when Z-score < -2 SD for S/A, (c) risk for underweight when Z-score between -1.99 SD and -1.28 SD for W/S and W/A, (d) normal when Z-score between -1.27 SD and + 1.27 SD for W/S and W/A, and >-1.99 SD for S/A, (e) risk for overweight when Z-score between +1.28 SD and +1.99 SD for W/S or W/A and (f) overweight and obesity when Z-score >+2.00 SD for W/S and W/A.6-8 For premature patients below 2 years old, the chronological age was corrected with the gestational age.9

The comparison of the three charts of NCHS, CDC and WHO for each of the indexes (W/A, S/A and W/S) was made using ANOVA test for repeated measurements, with the Bonferroni correction. The agreement of charts was assessed by Bland & Altaian10 and Lin11 plots for continuous variables. For the comparison of categorical variables, McNemar's test was made and kappa coefficient was calculated. The analyses were performed in the application Statistical Package for the Social Sciences (SPSS), version 16.0, and the P-values < 0.05 (2-tailed) were considered statistically significant.

 

Results

The study assessed 337 children, whose age median was 0.52 (IQR: 0.21-1.65) years, 65.3% of them were below 1 year old, 60.2% were male and 50% hospitalized due to acute respiratory disease. Differences were identified when comparing the mean values of Z-score from the NCHS, CDC and WHO charts for indexes: W/A (p < 0.001), S/A (p < 0.001) and W/S (p = 0.004). Lower mean values of W/A and S/A were obtained when adopting the WHO charts, while a lower mean value of W/S was observed when adopting the CDC chart (Fig. 1). That was confirmed with the assessment of patients sorted into categories according to their nutritional state, through the different indexes.

 

Despite the high agreement among the three criteria, when using the WHO chart, more patients were classified as presenting shortness than when adopting the criteria of NCHS (p < 0.001) and CDC (p < 0.001) (Table I). In the W/A comparison, the criteria of CDC (p < 0.001) and WHO (P = 0.018) were more rigorous in the classification of underweight and risk for underweight than the criteria of NCHS (Table II). For W/S, the criteria of CDC (p < 0.001) and WHO (p < 0.001) were also more stringent than those of NCHS, with CDC still more than WHO (p = 0.003) (Table II).

Figure 2 shows the differences resulting from the comparison of the diagnostic criteria (NCHS, CDC and WHO) for the indexes: W/A (Fig. 2a-2c); S/A (Fig. 2d-2f) and W/S (Fig. 2g-2i), indicating that, despite the strong agreement among these criteria, WHO and CDC tend to be more rigorous than NCHS. Likewise, Figure 3 shows the strong correlation of the criteria, emphasizing again that WHO and CDC classify the patients for worse nutritional state.

 

Discussion

According to NCHS/1977, CDC/2000 and WHO/ 2006 criteria, an agreement was observed when comparing indexes S/A, W/A and W/S, in the classification of hospitalized patients between 0 and 5 years old. Yet, small differences were observed in the mean values of Z-score. Lower values of Z-score, for S/A and W/A, were obtained with the WHO charts, classifying more patients in the categories of shortness and underweight, suggesting that it is a more useful criterion to screen malnutrition and nutritional risk for hospital admission.

The literature has few references comparing the performance of charts in hospitalized children, especially in Brazilian hospitals. However, studies with different populations of non-hospitalized children obtained similar data to those found in this study. Torres et al12 showed similar data to ours when evaluating impaired growth in preschool non-hospitalized children using the CDC 2000 and WHO 2006 criteria. They observed more weight reduction (W/S) and stature reduction (S/A) when using the WHO criteria, although these differences were not significant in the statistical perspective in any group age. On the other hand, in the Multi-centre Growth Reference Study (MGRS) elaborated by the WHO,13 non-hospitalized children had the diagnosis of nutritional impairment earlier when using the WHO standard.

In a posterior study, Onis et al.14 compared the WHO and NCHS growth charts and found higher malnutrition in W/A in the first six months of life, when based on the WHO standard. The prevalence of 2.5 times higher when compared to the criteria of NCHS. The same was observed in S/A, the prevalence of stunting was higher in all ages when the WHO standard was adopted. For W/S, during the first six months of life, the prevalence of wasting and severe wasting using the WHO standard was, respectively, 2.5 and 3.5 times those estimated using the NCHS reference. Likewise, when comparing the CDC and WHO charts, the WHO group15 found higher malnutrition when the WHO criteria were adopted. Such data agree with the results of this study, emphasizing that the age median of the sample for this study was around 6 months old.

Almeida et al.16 evaluated 841 Brazilian non-hospitalized children of max. five years old through four methods. Just like us, the authors showed agreement when comparing the methods, confirming that, in large groups of children dispersed in the population presenting several degrees of malnutrition, different methods are highly correlated. Yet, caution should be considered in individual assessment, as different methods can reproduce different scores to the same child.

With the purpose of studying shortness and underweight, Schwartz et al.17 conducted a study with a cohort of 289 African children up to the 15th month after their birth, using the WHO, CDC and NCHS growth charts. The highest incidence of underweight at the 3rd month of age was identified with the adoption of the WHO charts in relation to CDC (4% vs. 1%) and to NCHS (4% vs. 0.7%). Similar differences were identified in the evaluations made at the 9th and 15th month of life. Just like in our study, the diagnosis of shortness through the WHO charts was more sensitive in all evaluations.

Mei et al.18 assessed weight and stature of children between 0 and 59 months of age (n = 3,920) included in the National Health and Nutrition Examination Survey 1999-2004, unifying the cutoff point of the CDC and WHO charts. The authors found more shortness with the WHO charts.

Malnutrition is a frequent comorbidity at the moment of hospitalization; it can affect one out of 5 children of our context. The early detection of this event can enable a different nutritional attention. In this sense, as a measurement of nutritional screening, despite the strong agreement of the NCHS, CDC and WHO charts, the adoption of the WHO charts seems to be more useful to detect the highest possible number of malnourished children or children at nutritional risk, who should receive early nutritional interference already at the admission.

 

Conclusion

Despite the strong agreement of the 3 charts, the adoption of the WHO charts seems to be more helpful for the children's nutritional screening for hospital admission, as it enables to detect a higher number of malnourished children or at nutritional risk, who will benefit from an early intervention.

 

References

1. Zeferino AMB, Barros Filho AA, Bettiol H, Barbieri MA. Acompanhamento do crescimento. Jornal de Pediatria 2003; 79 (Suppl. 1): S23-32.         [ Links ]

2. National Center for Health Statistics. Growth curves for children birth to 18 years: United States Department of Health Education and Welfare, Vital and Health Statistics; 1977 Series 11. Nb.165.         [ Links ]

3. National Health and Nutrition Examination Survey. 2000 CDC Growth Charts: United States Site internet. Hyattsville: Centers for Disease Control and Prevention. http://www.cdc.gov/growthcharts. Access: 06/07/2009.         [ Links ]

4. WHO child growth standards: methods and development: length/height-for-age, weight-for-age, weight-for-length, weight-for-height, body mass index-for-age. Geneva. World Health Organization, 2006. http://www.who.int/childgrowth/publications. Access: 06/07/2009.         [ Links ]

5. Silveira CRM, de Mello ED, Carvalho PARA. Evolution of nutritional status of pediatric in patients of tertiary care general hospital in Brazil. Nutr Hosp 2008; 23 (6): 599-606.         [ Links ]

6. Teitelbaum D, Guenter P, Howel WH, Kochevar ME, Roth J, Seidner DL. Definition of terms, style, and conventions used in A.S.P.E.N. Guidelines and Standards. Nutr Clin Pract 2005; 20: 281-5.         [ Links ]

7. Almeida CAN, Ricco RG, Nogueira, MPC, Ciampo LAD, Muccillo G. Evaluation of the use of the 10th percentile of weight for age as a cut point for detection of children under nutritional risk. J Pediatr (Rio J) 1999; 75: 345-9.         [ Links ]

8. Ministerio da Saúde. Secretaria de Política de Saúde. Saúde da criança - Acompanhamento do crescimento e desenvolvimiento nfantil. Série Cadernos de Atenção Básica: n.11, Série A. Normas e Manuais Técnicos, n.173. Brasilia: DF, 2002.         [ Links ]

9. Guo SS, Roche AF, Chumlea WC, Casey PH, Moore WM. Growth in weight, recumbent length, and head circumference for preterm low-birthweight infants during the first three years of life using gestation-adjusted ages. Early Hum Dev 1997; 47:305-25.         [ Links ]

10. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;8:307-10. Lin LI. A concordance correlation coefficient to evaluate reproducibility. Biometrics 1989; 45 (1):255-68.         [ Links ]

12. Torres AAL, Furumoto RAV, Alves ED. Avaliação antropométrica de pré-escolares - comparação entre os referenciais: NCHS 2000 e OMS 2005. Revista eletrônica de enfermagem 2007;1(9):166-75. http://www.fen.ufg.br/revista/v9/n1/v9n1a13.htm. Access: 10/07/2008.         [ Links ]

13. Onis M, Garza C, Victora CG, Onyango AW, Frongillo EA, Martines J, for the WHO Multicentre Growth Reference Study Group. The WHO Multicentre Growth Reference Study: planning, study desing and methodology. Food Nutr Bull 2004; 25 (Suppl. 1): 15-25.         [ Links ]

14. Onis M, Onyango AW, Borghi E, Garza C, Yang H. Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO. International growth reference: Implications for child health programmes. Public Health Nutr 2006; 9 (7): 942-7.         [ Links ]

15. Onis M, Garza C, Onyango AW, Borghi E. Comparison of the WHO Child Growth Standards and the CDC 2000 Growth Charts. J Nutr 2007; 137 (1): 144-8.         [ Links ]

16. Almeida CAN, Ricco RG, Nogueira MPC, Ciampo LAD, Muccillo G. Comparison of four anthropometric methods of nutritional assessment and evaluation of the agreement between two reference population. J Trop Pediatr 1999; 45: 345-50.         [ Links ]

17. Schwatz NG, Grobusch MP, Decker ML, Goesch J, Poetschke M, Oyakhirome S et al. WHO 2006 child growth standards: implications for the prevalence of stunting and underweight-for-age in a birth cohort of Gabonese children in comparison to the Centers for Disease Control and Prevention 2000 growth charts and the National Center for Health Statistics 1978 growth references. Public Health Nutrition 2008; 11 (7): 714-9.         [ Links ]

18. Mei Z, Ogden CL, Flegal KM, Grummer-Strawn LM. Comparison of the prevalence of shortness, underweight and overweight among US children ages o to 59 months by using the CDC 2000 and the WHO 2006 growth charts. J Pediatr 2008; 153 (5): 622-8.         [ Links ]

 

 

Correspondence:
Carla Rosane de Moraes Silveira.
Hospital de Clínicas de Porto Alegre.
Ramiro Barcelos 2350, sala 635.
CP: 90035903 Rio Grande do Sul. Brasil.
E-mail: csilveira@hcpa.ufrgs.br

Recibido: 22-X-2009.
Aceptado: 15-III-2010.

Creative Commons License Todo el contenido de esta revista, excepto dónde está identificado, está bajo una Licencia Creative Commons