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Matern Child Nutr. 2018 Jul;14(3):e12585. doi: 10.1111/mcn.12585. Epub 2018 Jan 8.

Co-causation of reduced newborn size by maternal undernutrition, infections, and inflammation.

Author information

1
Centre for Child Health Research, Faculty of Medicine and Life Sciences, University of Tampere and Tampere University Hospital, Tampere, Finland.
2
Department of Paediatrics, Tampere University Hospital, Tampere, Finland.
3
USDA Agricultural Research Service Western Human Nutrition Research Center, Davis, California, USA.
4
Program in International and Community Nutrition, Department of Nutrition, University of California, Davis, Davis, California, USA.
5
Department of Medicine at Peter Doherty Institute, University of Melbourne, Parkville, Victoria, Australia.
6
Food and Nutrition Technical Assistance III Project, Washington DC, District of Columbia, USA.
7
Institute of Child Health, University College London, London, UK.
8
Faculty of Public Health and Family Medicine, College of Medicine, University of Malawi, Blantyre, Malawi.
9
External Research and Nutrition, Nutriset S.A.S, Malaunay, France.

Abstract

More than 20 million babies are born with low birthweight annually. Small newborns have an increased risk for mortality, growth failure, and other adverse outcomes. Numerous antenatal risk factors for small newborn size have been identified, but individual interventions addressing them have not markedly improved the health outcomes of interest. We tested a hypothesis that in low-income settings, newborn size is influenced jointly by multiple maternal exposures and characterized pathways associating these exposures with newborn size. This was a prospective cohort study of pregnant women and their offspring nested in an intervention trial in rural Malawi. We collected information on maternal and placental characteristics and used regression analyses, structural equation modelling, and random forest models to build pathway maps for direct and indirect associations between these characteristics and newborn weight-for-age Z-score and length-for-age Z-score. We used multiple imputation to infer values for any missing data. Among 1,179 pregnant women and their babies, newborn weight-for-age Z-score was directly predicted by maternal primiparity, body mass index, and plasma alpha-1-acid glycoprotein concentration before 20 weeks of gestation, gestational weight gain, duration of pregnancy, placental weight, and newborn length-for-age Z-score (p < .05). The latter 5 variables were interconnected and were predicted by several more distal determinants. In low-income conditions like rural Malawi, maternal infections, inflammation, nutrition, and certain constitutional factors jointly influence newborn size. Because of this complex network, comprehensive interventions that concurrently address multiple adverse exposures are more likely to increase mean newborn size than focused interventions targeting only maternal nutrition or specific infections.

KEYWORDS:

LAZ; Malawi; WAZ; low-income countries; newborn size; pathways

PMID:
29316198
PMCID:
PMC6055652
DOI:
10.1111/mcn.12585
[Indexed for MEDLINE]
Free PMC Article

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