One-year anthropometric follow-up of South African preterm infants in kangaroo mother care : which early-life factors predict malnutrition?

dc.contributor.authorNel, Sanja
dc.contributor.authorWenhold, Friedeburg Anna Maria
dc.contributor.authorBotha, Tanita
dc.contributor.authorFeucht, Ute Dagmar
dc.contributor.emailsanja.nel@up.ac.zaen_US
dc.date.accessioned2024-12-04T10:57:09Z
dc.date.available2024-12-04T10:57:09Z
dc.date.issued2024-04
dc.descriptionDATA AVAILABILITY STATEMENT : The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.en_US
dc.description.abstractBACKGROUND : Preterm infants often have poor short- and long-term growth. Kangaroo mother care supports short-term growth, but longer-term outcomes are unclear. METHODS : This study analysed longitudinally collected routine clinical data from a South African cohort of preterm infants (born <37 weeks gestation) attending the outpatient follow-up clinic of a tertiary-level hospital (Tshwane District, South Africa) for 1 year between 2012 and 2019. At 1 year, small-for-gestational age (SGA) and appropriate-for-gestational age (AGA) infants were compared with regard to agecorrected anthropometric z-scores (weight-for-age [WAZ], length-for-age [LAZ], weight-for-length [WLZ] and BMI-for-age [BMIZ]) and rates of underweight (WAZ < 2), stunting (LAZ < 2), wasting (WLZ < 2) and overweight (BMIZ> + 2). Multiple regression analysis was used to investigate associations between maternal/infant characteristics and rates of underweight, stunting, wasting and overweight. RESULTS : At 1 year, compared with AGA infants (n = 210), SGA infants (n = 111) had lower WAZ (1.26 ± 1.32 vs. 0.22 ± 1.24, p < 0.001), LAZ (1.50 ± 1.11 vs. 0.60 ± 1.06, p < 0.001), WLZ (0.66 ± 1.31 vs. 0.11 ± 1.24, p < 0.001) and BMIZ (0.55 ± 1.31 vs. 1.06 ± 1.23, p < 0.001), despite larger WAZ gains from birth (+0.70 ± 1.30 vs. +0.05 ± 1.30, p < 0.001). SGA infants had significantly more stunting (34.2% vs. 9.1%; p < 0.001), underweight (31.2% vs. 7.2%; p < 0.001) and wasting (12.6% vs. 4.3%, p = 0.012), with no difference in overweight (4.5% vs. 7.7%, p = 0.397). In multiple regression analysis, birth weight-for-GA z-score more consistently predicted 1-year malnutrition than SGA. CONCLUSION : Preterm-born SGA infants remain more underweight, stunted and wasted than their preterm-born AGA peers at 1 year, despite greater WAZ gains. Interventions for appropriate catch-up growth especially for SGA preterm infants are needed.en_US
dc.description.departmentHuman Nutritionen_US
dc.description.departmentPaediatrics and Child Healthen_US
dc.description.departmentStatisticsen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.urihttp://wileyonlinelibrary.com/journal/tmien_US
dc.identifier.citationNel, S., Wenhold, F., Botha, T & Feucht, U. One-year anthropometric follow-up of South African preterm infants in kangaroo mother care: Which early-life factors predict malnutrition? Tropical Medicine and International Health 2024;29(4):292–302. https://DOI.org/10.1111/tmi.13973.en_US
dc.identifier.issn1360-2276 (print)
dc.identifier.issn1365-3156 (online)
dc.identifier.other10.1111/tmi.13973
dc.identifier.urihttp://hdl.handle.net/2263/99755
dc.language.isoenen_US
dc.publisherWileyen_US
dc.rights© 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License.en_US
dc.subjectChild growthen_US
dc.subjectMalnutritionen_US
dc.subjectPreterm infantsen_US
dc.subjectSmall-for-gestational age (SGA)en_US
dc.subjectStuntingen_US
dc.subjectKangaroo mother care (KMC)en_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleOne-year anthropometric follow-up of South African preterm infants in kangaroo mother care : which early-life factors predict malnutrition?en_US
dc.typeArticleen_US

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