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The differential effect of maternal dietary patterns on quantiles of Birthweight

BACKGROUND: Maternal dietary habits during pregnancy are considered essential for development and growth of the fetus as well as maternal health. It has an effect on the birthweight of infants. However, little is known about the effect of dietary patterns on birthweight in urban South Africa. This s...

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Autores principales: Mitku, Aweke A., Zewotir, Temesgen, North, Delia, Jeena, Prakash, Naidoo, Rajen N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310259/
https://www.ncbi.nlm.nih.gov/pubmed/32571268
http://dx.doi.org/10.1186/s12889-020-09065-x
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author Mitku, Aweke A.
Zewotir, Temesgen
North, Delia
Jeena, Prakash
Naidoo, Rajen N.
author_facet Mitku, Aweke A.
Zewotir, Temesgen
North, Delia
Jeena, Prakash
Naidoo, Rajen N.
author_sort Mitku, Aweke A.
collection PubMed
description BACKGROUND: Maternal dietary habits during pregnancy are considered essential for development and growth of the fetus as well as maternal health. It has an effect on the birthweight of infants. However, little is known about the effect of dietary patterns on birthweight in urban South Africa. This study aimed to investigate differential effect of dietary patterns of pregnant women on quantiles of birthweight. METHODS: Data for the study were obtained from a Mother and Child in the Environment birth cohort study in Durban South Africa. Quantile regression was used to investigate the effect of maternal dietary patterns on quantiles of birthweight. Data collection was conducted during the period of 2013 to 2017 in Durban South Africa. Using factor analysis, eight dietary groups were identified from 687 pregnant women in the cohort. Quantile regression analysis was employed to identify the differential effects of the seven dietary groups and demographic factors on the birthweight. RESULTS: The quantile regression estimates at the 50(th) quantile and the ordinary regression estimates painted the same picture about the conditional mean effect of covariates on the birthweight. But unlike the quantile regression the ordinary regression fails to give insights about the covariates effect disparities at the low and/or upper birthweight quantiles. All the dietary groups show a significant differential effect at different birthweight quantiles. For instance, increased frequency of protein rich foods intake was associated with reduction in birthweight at lower and upper quantiles; increased frequency of junk foods intake has a slight increase in birthweight at the lower quantiles but significantly higher increase at the 95(th) quantile (p < 0.001); increase in consuming vegetable rich foods, reduced birthweight at 95(th) quantile (p < 0.001). The results further showed that employment (p = 0.006) and family size (p = 0.002) had differential effects across different birthweight quantiles. CONCLUSIONS: Both maternal undernutrition and overnutrition of protein rich foods, junk foods, snack and energy foods and vegetable rich foods have shown a substantial varying effects on those infants with birthweights in the lower and upper birthweight quantiles.
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spelling pubmed-73102592020-06-23 The differential effect of maternal dietary patterns on quantiles of Birthweight Mitku, Aweke A. Zewotir, Temesgen North, Delia Jeena, Prakash Naidoo, Rajen N. BMC Public Health Research Article BACKGROUND: Maternal dietary habits during pregnancy are considered essential for development and growth of the fetus as well as maternal health. It has an effect on the birthweight of infants. However, little is known about the effect of dietary patterns on birthweight in urban South Africa. This study aimed to investigate differential effect of dietary patterns of pregnant women on quantiles of birthweight. METHODS: Data for the study were obtained from a Mother and Child in the Environment birth cohort study in Durban South Africa. Quantile regression was used to investigate the effect of maternal dietary patterns on quantiles of birthweight. Data collection was conducted during the period of 2013 to 2017 in Durban South Africa. Using factor analysis, eight dietary groups were identified from 687 pregnant women in the cohort. Quantile regression analysis was employed to identify the differential effects of the seven dietary groups and demographic factors on the birthweight. RESULTS: The quantile regression estimates at the 50(th) quantile and the ordinary regression estimates painted the same picture about the conditional mean effect of covariates on the birthweight. But unlike the quantile regression the ordinary regression fails to give insights about the covariates effect disparities at the low and/or upper birthweight quantiles. All the dietary groups show a significant differential effect at different birthweight quantiles. For instance, increased frequency of protein rich foods intake was associated with reduction in birthweight at lower and upper quantiles; increased frequency of junk foods intake has a slight increase in birthweight at the lower quantiles but significantly higher increase at the 95(th) quantile (p < 0.001); increase in consuming vegetable rich foods, reduced birthweight at 95(th) quantile (p < 0.001). The results further showed that employment (p = 0.006) and family size (p = 0.002) had differential effects across different birthweight quantiles. CONCLUSIONS: Both maternal undernutrition and overnutrition of protein rich foods, junk foods, snack and energy foods and vegetable rich foods have shown a substantial varying effects on those infants with birthweights in the lower and upper birthweight quantiles. BioMed Central 2020-06-22 /pmc/articles/PMC7310259/ /pubmed/32571268 http://dx.doi.org/10.1186/s12889-020-09065-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mitku, Aweke A.
Zewotir, Temesgen
North, Delia
Jeena, Prakash
Naidoo, Rajen N.
The differential effect of maternal dietary patterns on quantiles of Birthweight
title The differential effect of maternal dietary patterns on quantiles of Birthweight
title_full The differential effect of maternal dietary patterns on quantiles of Birthweight
title_fullStr The differential effect of maternal dietary patterns on quantiles of Birthweight
title_full_unstemmed The differential effect of maternal dietary patterns on quantiles of Birthweight
title_short The differential effect of maternal dietary patterns on quantiles of Birthweight
title_sort differential effect of maternal dietary patterns on quantiles of birthweight
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7310259/
https://www.ncbi.nlm.nih.gov/pubmed/32571268
http://dx.doi.org/10.1186/s12889-020-09065-x
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