Infant growth by INTERGROWTH-21st and Fenton Growth Charts : predicting 1-year anthropometry in South African preterm infants

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dc.contributor.author Nel, Sanja
dc.contributor.author Feucht, Ute Dagmar
dc.contributor.author Botha, Tanita
dc.contributor.author Wenhold, Friedeburg Anna Maria
dc.date.accessioned 2024-09-10T05:39:19Z
dc.date.available 2024-09-10T05:39:19Z
dc.date.issued 2024-10
dc.description DATA AVAILABILITY STATEMENT : The data that support the findings of this study are available from the corresponding author upon reasonable request. en_US
dc.description.abstract 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. en_US
dc.description.department Human Nutrition en_US
dc.description.department Paediatrics and Child Health en_US
dc.description.department Statistics en_US
dc.description.librarian hj2024 en_US
dc.description.sdg SDG-03:Good heatlh and well-being en_US
dc.description.uri https://wileyonlinelibrary.com/journal/mcn en_US
dc.identifier.citation Nel, S., Feucht, U. D., Botha, T., & Wenhold, F. A. M. (2024). Infant growth by INTERGROWTH‐21st and Fenton Growth Charts: Predicting 1‐year anthropometry in South African preterm infants. Maternal & Child Nutrition, 20, e13663. https://doi.org/10.1111/mcn.13663. en_US
dc.identifier.issn 1740-8695 (print)
dc.identifier.issn 1740-8709 (online)
dc.identifier.other 10.1111/mcn.13663
dc.identifier.uri http://hdl.handle.net/2263/98089
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.rights © 2024 The Authors. Maternal & Child Nutrition published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License. en_US
dc.subject Fenton Growth Chart (FGC) en_US
dc.subject INTERGROWTH-21st Preterm Post-natal Growth Standards (IG-PPGS) en_US
dc.subject Birthweight en_US
dc.subject Growth en_US
dc.subject Growth charts en_US
dc.subject Malnutrition en_US
dc.subject Infants en_US
dc.subject Premature en_US
dc.subject Weight gain en_US
dc.subject SDG-03: Good health and well-being en_US
dc.title Infant growth by INTERGROWTH-21st and Fenton Growth Charts : predicting 1-year anthropometry in South African preterm infants en_US
dc.type Article en_US


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