Evidence map›Paper›PMID 38017257›Full record

ArticleScientific reports2023

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

Noriko Sato, Rei Haruyama, Naoyuki Miyasaka

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Noriko SatoDepartment of Food and Nutrition, Faculty of Human Sciences and Design, Japan Women's University, 2-8-1 Mejirodai, Bunkyo-ku, Tokyo, 112-8681, Japan. saton@fc.jwu.ac.jp.
Rei HaruyamaBureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, 162-8655, Japan.
Naoyuki MiyasakaComprehensive Reproductive Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan.

Funding

Japan Society for the Promotion of Science JP20K09594
6 · The paper itself

Abstract

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.

Indexed as

Gestational Weight GainBirth WeightBody Mass IndexFemaleHumansInfantInfant, NewbornInfant, Small for Gestational AgeJapanPregnancyPregnancy OutcomeRegression Analysis

Identifiers

PMID38017257
PMCPMC10684669

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.