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Infant Growth by Intergrowth‐21st and Fenton Growth Charts

Predicting 1‐year anthropometry in South African preterm infants

Bibliographic Data

ID15537353
AuthorsSanja Nel (0000-0003-3175-7340, South African Medical Research Council, corresponding author), Ute Feucht (0000-0002-6339-1040, South African Medical Research Council), Tanita Botha (0000-0002-8861-4466, South African Medical Research Council), Friede Wenhold (0000-0003-1140-5065, South African Medical Research Council)
Year2024
Volume20
Issue4
Pagese13663-e13663
Publication date2024-05-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMaternal and Child Nutrition (JOURNAL)
Journal identifiersISSN: 1740-8695 • E-ISSN: 1740-8709
PublisherWiley (PUBLISHER • GB)
DOI10.1111/mcn.13663
PMID38783411
OpenAlexW4398774155
LanguageEN
Citations received1
References cited31

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). 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 + 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

Anthropometry · Body mass index · Gestational age · Growth chart · Malnutrition · Obstetrics · Overweight · Pregnancy · Standard score · Statistics · Underweight · Wasting · Child Nutrition and Water Access · Infant Nutrition and Health · Mathematics · Medicine · Neonatal Respiratory Health Research · Internal Medicine · Pediatrics

  • Infant Growth by Intergrowth‐21st and Fenton Growth Charts

    Open Access•Sanja Nel, Ute Feucht et al.•Maternal and Child Nutrition•2024

  • Practical Statistics for Medical Research

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  • Risk of childhood undernutrition related to small-for-gestational age and preterm birth in low- and middle-income countries

    Polly Christian, Parul Christian et al.•International Journal of…•2013

  • A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants

    Open Access•Tanis R Fenton, Jae H Kim•BMC Pediatrics•2013

  • Physical Status

    Open Access•Phyllis B Eveleth•American Journal of Human Biology•1996

  • Infant Growth by Intergrowth‐21st and Fenton Growth Charts

    Open Access•Sanja Nel, Ute Feucht et al.•Maternal and Child Nutrition•2024

  • Child stunting starts in utero

    Open Access•Grace Namirembe, Shibani Ghosh et al.•Maternal and Child Nutrition•2022

  • Is the Intrauterine Intergrowth-21 Growth Curve Better Than Fenton’s for the Classification at Birth and Prediction of Postnatal Growth in Preterm Infants

    Open Access•Cibele Wolf Lebrão, Fabíola Isabel Suano De Souza et al.•Maternal and Child Health Journal•2020

Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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