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dc.contributor.author | Nel, Sanja![]() |
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dc.contributor.author | Feucht, Ute Dagmar![]() |
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dc.contributor.author | Botha, Tanita![]() |
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dc.contributor.author | Wenhold, Friedeburg Anna Maria![]() |
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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 |