Introduction. Several studies have shown population differences in head circumference (HC) that question the universal validity of the World Health Organization (WHO) standard to assess head growth. Objectives. To compare the Argentine reference charts for HC from 0 to 5 years of age with the WHO standards. Population and methods. The 3rd and 97th percentiles for HC based on the Argentine reference charts were compared with the corresponding WHO standard and the percentage of children classified as having microcephaly (HC < 3rd percentile of the WHO) and macrocephaly (HC > 97th percentile of the WHO) at specific ages between 0 and 5 years were estimated. Results. The comparison of the Argentine reference charts with the WHO standards shows that, in both males and females, at the 3rd percentile, the Argentine reference charts are below the WHO standards from 1 to 6 months of age, similar from 9 to 18 months of age, and then above until 60 months old. In relation to the 97th percentile, the Argentine reference charts are above the WHO standards from birth to 60 months in both boys and girls. Conclusions. The head size of Argentine children is different from that established by the WHO standards. The adoption of the WHO standards for our population increases the percentage of macrocephaly diagnosis at all ages.
Introducción. Diversos estudios han evidenciado diferencias poblacionales en el tamaño cefálico que cuestionan la validez universal del estándar de la Organización Mundial de la Salud (OMS) para evaluar el crecimiento cefálico. Objetivos. Comparar las referencias argentinas de perímetro cefálico (PC) de 0 a 5 años con los estándares de la OMS. Población y métodos. Se compararon los percentiles 3 y 97 de PC de las referencias argentinas con los correspondientes del estándar de la OMS y se calcularon los porcentajes de niños clasificados como microcefálicos (PC < percentil 3 de la OMS) y macrocefálicos (PC > percentil 97 de la OMS) a edades específicas entre el nacimiento y los 5 años de edad. Resultados. La comparación de las referencias argentinas con los estándares de la OMS, muestra que –en ambos sexos– en el percentil 3, desde el primer mes y hasta los 6 meses, las referencias argentinas se encuentran por debajo de los estándares de la OMS, son similares entre los 9 y 18 meses, y luego se ubican por encima hasta los 60 meses. En relación con el percentil 97, las referencias argentinas se ubican por encima de los estándares de la OMS desde el nacimiento hasta los 60 meses en ambos sexos. Conclusiones. El tamaño cefálico de los niños y niñas argentinos difiere del de los estándares de la OMS. La adopción de los estándares de la OMS en nuestra población incrementa el porcentaje de diagnóstico de macrocefalia a todas las edades.

BACKGROUND: Growth charts are an important method for evaluating a child\'s health, growth, and nutritional status. It is essential to monitor the growth of children and adolescents using growth charts.
OBJECTIVE: To present body mass index (BMI)-for-age references reflecting children\'s growth in Shanxi. We also compare our new data with growth references of other cities of China and World Health Organization (WHO) growth standards.
METHODS: A stratified cluster random sampling method was used to recruit 5461 children and adolescents aged 6-17 years. Height and weight were measured and BMI was calculated. The LMS method was used to calculate the percentile values of body mass index by sex and age. Smoothed BMI-for-age growth curves were presented for both sexes and compared with reference data from other cities of China and WHO.
RESULTS: BMI centiles increased with age but with different patterns in both boys and girls. The centile curves from the 3rd to the 50th had a slight increase, while a sharp increase was seen from 11 to 17 years in boys and from 6 to 14 years in girls in the higher centiles. In comparison with other cities of China, the values for the 50th percentile are higher than those reported for children from China 2009, Shanghai, Changsha and China 2010 in both sexes. In comparison with WHO growth references, Chinese girls and boys had higher values in all percentiles, whereas curves of girls look roughly the same. The medians for BMI in Shanxi increase linearly from 6 to 17 years in boys.
CONCLUSIONS: The BMI percentiles of children aged 6-17 years in Shanxi differed significantly from the growth reference curves of other cities of China and WHO. Recommending the provision of BMI reference curves for local children and adolescents to assess their growth and development and monitor their nutritional status. Early detection of overweight and obesity in children provides a scientific basis for the prevention and control of overweight and obesity in children.

Introduction. Head circumference (HC) is an indicator of brain growth; growth charts are necessary to determine normal or pathological variations. Objectives. To present the first Argentine HC reference charts between birth and 19 years of age and to compare them with the Nellhaus charts, which have been used in our country to date. Population and methods. These references were developed based on combined data from the National Survey on Nutrition and Health of 2018 and cross-sectional studies conducted between 2004 and 2007 in the provinces of Buenos Aires and La Pampa, which included 8326 healthy children and adolescents. Growth curves were adjusted using the LMS method. To assess the differences between these reference charts and the Nellhaus charts, at different ages, the 2nd, 50th, and 98th percentiles were plotted. Results. HC showed a variable increase in size with age, which was greater in the first years of life, and a slight increase at puberty. The values for the 98th percentile of the Argentine reference charts werehigher than those of the Nellhaus charts at all ages. The values for the 2nd percentile of the national reference were lower than those of the Nellhaus charts during the first 2 years of life, similar between 3 and 7 years of age, and higher after this age. Conclusions. The Argentine curves adequately describe the growth pattern of HC. The differences found with the Nellhaus charts may be attributed to secular changes.
Introducción. El perímetro cefálico (PC) es un indicador del crecimiento cerebral y es necesario contar con referencias de crecimiento que permitan determinar variaciones normales o patológicas. Objetivos. Presentar las primeras referencias argentinas de perímetro cefálico entre el nacimiento y los 19 años, y compararlas con las referencias de Nellhaus, utilizadas en nuestro país hasta la actualidad. Población y métodos. Para la construcción de estas referencias, se combinaron datos de la Encuesta Nacional de Nutrición y Salud 2018 y estudios transversales realizados entre 2004 y 2007 en las provincias de Buenos Aires y La Pampa, que incluyeron 8326 niños, niñas y adolescentes sanos. Las curvas de crecimiento fueron ajustadas con el método LMS. Para evaluar la magnitud de las diferencias entre estas referencias y las de Nellhaus, a diferentes edades, se graficaron los centilos 2, 50 y 98. Resultados. El PC mostró un incremento de tamaño variable con la edad, de mayor magnitud en los primeros años de vida, y un ligero incremento en la pubertad. Los valores del centilo 98 de las referencias argentinas fueron mayores que los de Nellhaus en todas las edades. Los valores del centilo 2 de la referencia nacional fueron menores que los de Nellhaus durante los primeros 2 años de vida, similares entre los 3 y 7 años, y mayores a partir de esta edad. Conclusiones. Las curvas argentinas describen adecuadamente el patrón de crecimiento del PC. Las diferencias halladas con la referencia de Nellhaus pueden atribuirse a cambios seculares.

Post-natal growth influences short- and long-term preterm infant outcomes. Different growth charts, such as the Fenton Growth Chart (FGC) and INTERGROWTH-21st Preterm Post-natal Growth Standards (IG-PPGS), describe different growth curves and targets. This study compares FGC- and IG-PPGS-derived weight-for-postmenstrual age z-score (WZ) up to 50 weeks postmenstrual age (PMA50) for predicting 1-year anthropometry in 321 South African preterm infants. The change in WZ from birth to PMA50 (ΔWZ, calculated using FGC and IG-PPGS) was correlated to age-corrected 1-year anthropometric z-scores for weight-for-age (WAZ), length-for-age (LAZ), weight-for-length (WLZ) and BMI-for-age (BMIZ), and categorically compared with rates of underweight (WAZ < -2), stunting (LAZ < -2), wasting (WLZ < -2) and overweight (BMIZ > + 2). Multivariable analyses explored the effects of other early-life exposures on malnutrition risk. At PMA50, mean WZ was significantly higher on IG-PPGS (-0.56 ± 1.52) than FGC (-0.90 ± 1.52; p < 0.001), but ΔWZ was similar (IG-PPGS -0.26 ± 1.23, FGC -0.11 ± 1.14; p = 0.153). Statistically significant ΔWZ differences emerged among small-for-gestational age infants (FGC -0.38 ± 1.22 vs. IG-PPGS -0.01 ± 1.30; p < 0.001) and appropriate-for-gestational age infants (FGC + 0.02 ± 1.08, IG-PPGS -0.39 ± 1.18; p < 0.001). Correlation coefficients of ΔWZ with WAZ, LAZ, WLZ and BMIZ were low (r < 0.45), though higher for FGC than IG-PPGS. Compared with IG-PPGS, ΔWZ < -1 on FGC predicted larger percentages of underweight (42% vs. 36%) and wasting (43% vs. 39%) and equal percentages of stunting (33%), while ΔWZ > + 1 predicted larger percentages overweight (57% vs. 38%). Both charts performed similarly in multivariable analysis. Differences between FGC and IG-PPGS are less apparent when considering ΔWZ, highlighting the importance of assessing growth as change over time, irrespective of growth chart.

This article aims to present growth curves for height, weight, and BMI of 95,000 Brazilian youths aged 6 to 17 years, including the five regions of the country, the Amazon region, and indigenous populations, and compare them with the World Health Organization (WHO) growth references. The final sample consisted of 52,729 boys and 42,731 girls from the \"Projeto Esporte Brasil\" database. Body mass and height information were used to derive the curves. The generalized additive model for location, scale, and shape was employed. In this study, we present smoothed weight-for-age, height-for-age, and BMI-for-age curves for boys and girls. Differences were observed between the results of the Brazilian curves and the WHO growth references. The developed curves will be valuable for professionals in medicine, public health, nutrition, physical education, and other related fields, regarding the assessment of physical growth in Brazilian children and adolescents and monitoring the nutritional status of this population. Additionally, these curves will facilitate the identification of individuals or subgroups at risk of diseases and delayed growth, with a greater focus on specific country-related factors.

BACKGROUND: Identifying high-risk neonates with abnormal fetal growth is crucial for health risk prediction and early intervention. Small for gestational age (SGA) and large for gestational age (LGA) classifications highlight neonates having a higher risk for postnatal diseases. Accurate diagnosis depends on precise anthropometric measurements and appropriate reference data. In 2010, specific neonatal charts for Italian singletons (INeS charts) were published, tracing separately for first- and later-born neonates due to a 3% birth weight difference. We present INeS charts for birth weight non-separated by first- and later-born babies useful when information on parity is unavailable or unreliable, or for better comparisons with other neonatal charts that are not separated by birth-order.
METHODS: INeS charts were traced using a parametric function. Starting with the parameters estimates published in a different paper, INeS charts not separated by birth order were traced for the gestational age range of 23 to 42 weeks. In a second step the charts were parametrized as Cole and Green Lambda Mu and Sigma (LMS) model, allowing computation of standard deviation scores.
RESULTS: The centiles of non-separated INeS charts follow between first- and later-born charts. Distances varied due to changing first-born proportions with gestational age, Max differences of about 100g with later born and 70g with first-born were observed at term. S and L functions have a similar shape for boys and girls. S function shows a pick at about 29 weeks, L function has positive values in all the range of gestational age with a pick at 39 weeks.
CONCLUSIONS: The study presents non-separated Birth Weight INeS charts, bridging the gap when parity information is unavailable. Differences with separated charts were generally small, making them reliable for neonatal health assessment. Insights from L and S parameters contribute to standardized birth weight and adjust it by sex and Gestational Age, useful for defining SGA or LGA neonates. The paper enhances neonatal care tools, showcasing INeS chart flexibility in different clinical scenarios and supporting neonatology research.

Adequate nutrition is necessary for achieving optimal growth and neurodevelopment. Growth is a natural and expected process that happens concomitantly with rapid advancements in neurodevelopment. Serial weight, length, and head circumference growth measures are essential for monitoring development, although identifying pathological deviations from normal growth can pose challenges. Appropriate growth assessments require considerations that a range of sizes for length, head circumference, and weight are expected and appropriate. Because of genetic differences and morbidities, there is a considerable overlap between the growth of healthy infants and those with growth alterations. Parents tend to be over-concerned about children who plot low on growth charts and often need reassurance. Thus, the use of terms such as \"poor\" growth or growth \"failure\" are discouraged when growth is approximately parallel to growth chart curves even if their size is smaller than specific percentiles. No specific percentile should be set as a growth goal; individual variability should be expected. An infant\'s size at birth is important information that goes beyond the common use of prognostic predictions of appropriate compared with small or large for gestational age. The lower the birthweight, the lower the nutrient stores and the more important the need for nutrition support. Compared to term infants, preterm infants at term-equivalent age have a higher percentage of body fat, but this diminishes over the next months. Current research findings support expert recommendations that preterm infants should grow, after early postnatal weight loss, similar to the fetus and then term-born infants, which translates to growth approximately parallel to growth chart curves. There is no need for a trade-off between optimum cognition and optimum future health. Each high-risk infant needs individualized nutrition and growth assessments. This review aims to examine infant growth expectations and messaging for parents of preterm and term-born infants within the broader causal framework.

BACKGROUND: Our aim was to determine which foetal or neonatal growth curves discriminate the probability of dying of newborns with low birth weight for their gestational age (small for gestational age, SGA) and sex (weight < 10th percentile) and to establish the curves that are presumably most useful for monitoring growth through age 10 years.
METHODS: The analysis included every neonate (15 122) managed in our hospital (2013-2022) and all neonates born preterm before 32 weeks (6913) registered in the SEN1500 database (2019-2022). We considered most useful those curves with the highest likelihood ratio (LR) for dying with or without a history of SGA in each subgroup of gestational ages. Theoretically, the optimal curves for monitoring growth would be those with a higher R2 in the quantile regression formulas for the 50th percentile.
RESULTS: The growth curves exhibiting the strongest association between SGA and hospital mortality are the Intergrowth fetal curves and the Fenton neonatal curves in infants born preterm before 32 weeks. However, the optimal curves for premature babies and neonates overall were those of Olsen and Intergrowth. The most useful curves to monitor anthropometric values alone until age 10 years of age are the longitudinal Intergrowth curves followed by the WHO standards, but if a single reference is desired from birth through age 10 years, the best option is the Fenton curves followed by the WHO standards.
CONCLUSIONS: The Intergrowth reference provides the most discriminating foetal growth curves. In neonatal clinical practice, the optimal references are the Fenton followed by the WHO charts.

Closure of the large ventricular septal defects (VSD) in infancy can lead to normalization of growth, but data are limited. Our study is done to assess the growth pattern in different age groups of children and lower birth weight babies after shunt closure. This is a prospective observational study that included infants with isolated large VSD operated in infancy. Anthropometric data were collected at baseline and at follow-up, and growth patterns were analyzed. 99 infants were included in the study. The mean age and weight at the time of surgery were 6.97 ± 2.79 months and 5.07 ± 1.16 kg, respectively. The mean follow-up duration was 8.99 ± 2.31 months. The weight for age (W/A) was the most adversely affected parameter preoperatively, and there was significant improvement noted in the mean Z score for W/A after shunt closure (- 3.67 ± 1.18 vs. - 1.76 ± 1.14, p = 0.0012). There was improvement in Z-scores for length for age (L/A) and weight for length (W/L), although it was not statistically significant. The infants from all the age groups had statistically significant growth in the anthropometric parameters. The rate of weight gain was maximum in the infants operated below 8 months of age (2-4 months = 3588 g, 5-6 months = 3592 g, 7-8 months = 3606 g, 9-10 months = 2590 g, 11-12 months = 2250 g). Low birth weight and normal birth weight infants had similar Z-scores at the time of surgery and at follow-up in all 3 anthropometric parameters, and birth weight did not affect pre- as well as post-operative growth parameters. Suboptimal improvement in weight and length was seen in 40 and 20% of babies even after successful surgical repair, respectively. Growth failure in infants with a large VSD can be multifactorial. Early surgical closure of the shunt can lead to early normalization of growth parameters and faster catch-up growth. Few babies may fail to demonstrate a positive growth response even after timely surgical correction, and may be related to intrauterine and genetic factors or faulty feeding habits.

BACKGROUND: Three widely referenced growth curves classify infant birth anthropometric measurements as small (SGA), appropriate (AGA), or large (LGA) for gestational age (GA) differently. We assessed how these differences in assignment affect the identification and prediction of neonatal intensive care unit (NICU) mortality risk in US preterm infants.
METHODS: Birth data of infants admitted to NICUs from the Pediatrix Clinical Data Warehouse (2013-2018) were analyzed. Birth weight, length, and head circumference of 46,724 singleton infants (24-32 weeks GA) were classified as SGA, AGA, or LGA using the Olsen, Fenton, and INTERGROWTH-21st curves. NICU mortality risk based on birth size classification was analyzed using unadjusted and adjusted logistic regression stratified by GA.
RESULTS: Odds of mortality were increased with SGA classification at all GAs, size measurements, and curve sets, compared with AGA infants. LGA classification for weight was associated with lower mortality risk at 24 weeks GA and higher risk at 30 weeks GA. Odds of mortality did not differ significantly across curve sets. Classification of size at birth alone had relatively low predictive ability to identify mortality risk, with unadjusted AUCs near 0.5 for all analyses.
CONCLUSIONS: There were no significant differences across curve sets in predicting mortality. Classification of size at birth is a relatively imprecise method to identify infants at risk for NICU mortality.