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Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis

The optimal range of gestational weight gain (GWG) was recently raised in Japan. This may help reduce small-for-gestational-age (SGA) infants, but may also increase large-for-gestational-age (LGA) infants. This study performed hypothetical experiments to determine effective GWG advice based on quant...

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Autores principales: Sato, Noriko, Haruyama, Rei, Miyasaka, Naoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684669/
https://www.ncbi.nlm.nih.gov/pubmed/38017257
http://dx.doi.org/10.1038/s41598-023-48375-z
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author Sato, Noriko
Haruyama, Rei
Miyasaka, Naoyuki
author_facet Sato, Noriko
Haruyama, Rei
Miyasaka, Naoyuki
author_sort Sato, Noriko
collection PubMed
description The optimal range of gestational weight gain (GWG) was recently raised in Japan. This may help reduce small-for-gestational-age (SGA) infants, but may also increase large-for-gestational-age (LGA) infants. This study performed hypothetical experiments to determine effective GWG advice based on quantile regression analysis. In a total of 354,401 singleton pregnancies registered in the perinatal database of the Japan Society of Obstetrics and Gynecology (2013–2017), the proportions of SGA and LGA were 9.33% and 11.13%, respectively. Using regression coefficients of GWG across the birth weight-for-gestational-age quantile distribution, we analyzed changes in their proportions by simulating a uniform 3-kg extra increase in GWG or an increase or decrease based on GWG adequacy. A hypothetical experiment of a uniform increase in GWG resulted in SGA and LGA proportions of 7.26% (95% confidence interval 7.15–7.36) and 14.51% (14.37–14.66), respectively. By contrast, assuming a 3-kg increase in women with inadequate GWG and a 3-kg decrease in women with excessive GWG resulted in SGA and LGA proportions of 8.42% (8.31–8.54) and 11.50% (11.37–11.62), respectively. Our real-world data analysis suggests that careful adjustment of GWG based on GWG adequacy will be effective in optimizing infant birth weight in Japan
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spelling pubmed-106846692023-11-30 Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis Sato, Noriko Haruyama, Rei Miyasaka, Naoyuki Sci Rep Article The optimal range of gestational weight gain (GWG) was recently raised in Japan. This may help reduce small-for-gestational-age (SGA) infants, but may also increase large-for-gestational-age (LGA) infants. This study performed hypothetical experiments to determine effective GWG advice based on quantile regression analysis. In a total of 354,401 singleton pregnancies registered in the perinatal database of the Japan Society of Obstetrics and Gynecology (2013–2017), the proportions of SGA and LGA were 9.33% and 11.13%, respectively. Using regression coefficients of GWG across the birth weight-for-gestational-age quantile distribution, we analyzed changes in their proportions by simulating a uniform 3-kg extra increase in GWG or an increase or decrease based on GWG adequacy. A hypothetical experiment of a uniform increase in GWG resulted in SGA and LGA proportions of 7.26% (95% confidence interval 7.15–7.36) and 14.51% (14.37–14.66), respectively. By contrast, assuming a 3-kg increase in women with inadequate GWG and a 3-kg decrease in women with excessive GWG resulted in SGA and LGA proportions of 8.42% (8.31–8.54) and 11.50% (11.37–11.62), respectively. Our real-world data analysis suggests that careful adjustment of GWG based on GWG adequacy will be effective in optimizing infant birth weight in Japan Nature Publishing Group UK 2023-11-28 /pmc/articles/PMC10684669/ /pubmed/38017257 http://dx.doi.org/10.1038/s41598-023-48375-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sato, Noriko
Haruyama, Rei
Miyasaka, Naoyuki
Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
title Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
title_full Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
title_fullStr Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
title_full_unstemmed Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
title_short Effective gestational weight gain advice to optimize infant birth weight in Japan based on quantile regression analysis
title_sort effective gestational weight gain advice to optimize infant birth weight in japan based on quantile regression analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684669/
https://www.ncbi.nlm.nih.gov/pubmed/38017257
http://dx.doi.org/10.1038/s41598-023-48375-z
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