| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2023-02-25 |
| タイトル |
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タイトル |
Application of Japanese guidelines for gestational weight gain to multiple pregnancy outcomes and its optimal range in 101,336 Japanese women |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 作成者 |
Nomura, Kyoko
Nagashima, Kengo
Suzuki, Shunji
Itoh, Hiroaki
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| 内容記述 |
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内容記述タイプ |
Abstract |
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内容記述 |
This study was performed to investigate whether the Japanese guidelines for gestational weight gain (GWG) can be used to determine the risks of multiple pregnancy outcomes and estimate optimal GWG in 101,336 women with singleton pregnancies in 2013. Multivariable logistic regression analyses indicated that the risks associated with low birth weight, small for gestational age, and preterm birth increased significantly with weight gain below the Japanese guidelines, and the risks of macrosomia and large for gestational age increased with weight gain above the guidelines regardless of Asian-specific pre-pregnancy body mass index (BMI). The GWG cutoff points estimated from the adjusted area under the receiver operating characteristics curve >0.6 corresponded to 10-13.8 kg in underweight women with pre-pregnancy BMI < 18.5 kg/m(2); 10-13.7 kg in normal weight women with pre-pregnancy BMI 18.5-22.9 kg/m(2); 8.5-11.4 kg in overweight women with pre-pregnancy BMI 23-24.9 kg/m(2), 5-13.3 kg in obese women with pre-pregnancy BMI 25-29.9 kg/m(2); and 4.7 kg in obese women with pre-pregnancy BMI >= 30 kg/m(2). The optimal GWG ranges proposed by the present study are slightly higher than those recommended by the current Japanese guidelines. |
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言語 |
en |
| 出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 書誌情報 |
en : SCIENTIFIC REPORTS
巻 9,
発行日 2019
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| 収録物識別子 |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2045-2322 |
| 出版者 |
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出版者 |
Nature Research |
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言語 |
en |
| 関連情報 |
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関連タイプ |
isIdenticalTo |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1038/s41598-019-53809-8 |
| 権利情報 |
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権利情報 |
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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2019 |
iA_2022_107.pdf (1.4 MB)
