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Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT

To determine optimal gestational weight gain (GWG) for the Chinese population. Live singleton deliveries at the largest maternal & childcare hospital in northwest China from 2010 to 2012 were analyzed retrospectively. Multivariable logistic regression analysis was conducted to determine the lowe...

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Detalles Bibliográficos
Autores principales: Bai, Yang, Li, Lanlan, Wang, Baolin, Qiu, Jie, Ren, Yucheng, He, Xiaochun, Li, Yilin, Jia, Yanfeng, He, Chunxiao, Cui, Hongmei, Lv, Ling, Lin, Xiaojuan, Zhang, Chong, Zhang, Honghong, Xu, Ruifeng, Liu, Qing, Luan, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154430/
https://www.ncbi.nlm.nih.gov/pubmed/34032741
http://dx.doi.org/10.1097/MD.0000000000026080
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author Bai, Yang
Li, Lanlan
Wang, Baolin
Qiu, Jie
Ren, Yucheng
He, Xiaochun
Li, Yilin
Jia, Yanfeng
He, Chunxiao
Cui, Hongmei
Lv, Ling
Lin, Xiaojuan
Zhang, Chong
Zhang, Honghong
Xu, Ruifeng
Liu, Qing
Luan, Hua
author_facet Bai, Yang
Li, Lanlan
Wang, Baolin
Qiu, Jie
Ren, Yucheng
He, Xiaochun
Li, Yilin
Jia, Yanfeng
He, Chunxiao
Cui, Hongmei
Lv, Ling
Lin, Xiaojuan
Zhang, Chong
Zhang, Honghong
Xu, Ruifeng
Liu, Qing
Luan, Hua
author_sort Bai, Yang
collection PubMed
description To determine optimal gestational weight gain (GWG) for the Chinese population. Live singleton deliveries at the largest maternal & childcare hospital in northwest China from 2010 to 2012 were analyzed retrospectively. Multivariable logistic regression analysis was conducted to determine the lowest aggregated risk of interested perinatal outcomes based on Chinese adult body mass index (BMI) categories. Eight thousand eight hundred seventy enrolled parturients were divided into 4 groups according to their prepregnancy BMI: underweight (21.31%, BMI < 18.5 kg/m(2)), normal weight (67.81%, 18.5 kg/m(2) ≤ BMI < 24 kg/m(2)), overweight (8.99%, 24 kg/m(2) ≤ BMI < 28 kg/m(2) and obese (1.89%, BMI ≥ 28 kg/m(2)). The optimal GWG values for the above 4 groups were 16.7 kg (GWG range, 12.0–21.5), 14.5 kg (9.5–19.5), 11.5 kg (7.0–16.5), and 8.0 kg (5.0–13.0). The rates of inadequate, optimal and excessive GWG in present study were 6.14% (545), 62.34% (5529), and 31.52% (2796) respectively, which were significantly different from those of the 2009 Institute of Medicine recommendation (χ(2) = 1416.05, Pinteraction < 0.0001). Wider optimal GWG ranges than those recommended by Institute of Medicine were found in our study, and our proposed criteria seems to be practical to the Chinese population.
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spelling pubmed-81544302021-05-29 Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT Bai, Yang Li, Lanlan Wang, Baolin Qiu, Jie Ren, Yucheng He, Xiaochun Li, Yilin Jia, Yanfeng He, Chunxiao Cui, Hongmei Lv, Ling Lin, Xiaojuan Zhang, Chong Zhang, Honghong Xu, Ruifeng Liu, Qing Luan, Hua Medicine (Baltimore) 5600 To determine optimal gestational weight gain (GWG) for the Chinese population. Live singleton deliveries at the largest maternal & childcare hospital in northwest China from 2010 to 2012 were analyzed retrospectively. Multivariable logistic regression analysis was conducted to determine the lowest aggregated risk of interested perinatal outcomes based on Chinese adult body mass index (BMI) categories. Eight thousand eight hundred seventy enrolled parturients were divided into 4 groups according to their prepregnancy BMI: underweight (21.31%, BMI < 18.5 kg/m(2)), normal weight (67.81%, 18.5 kg/m(2) ≤ BMI < 24 kg/m(2)), overweight (8.99%, 24 kg/m(2) ≤ BMI < 28 kg/m(2) and obese (1.89%, BMI ≥ 28 kg/m(2)). The optimal GWG values for the above 4 groups were 16.7 kg (GWG range, 12.0–21.5), 14.5 kg (9.5–19.5), 11.5 kg (7.0–16.5), and 8.0 kg (5.0–13.0). The rates of inadequate, optimal and excessive GWG in present study were 6.14% (545), 62.34% (5529), and 31.52% (2796) respectively, which were significantly different from those of the 2009 Institute of Medicine recommendation (χ(2) = 1416.05, Pinteraction < 0.0001). Wider optimal GWG ranges than those recommended by Institute of Medicine were found in our study, and our proposed criteria seems to be practical to the Chinese population. Lippincott Williams & Wilkins 2021-05-28 /pmc/articles/PMC8154430/ /pubmed/34032741 http://dx.doi.org/10.1097/MD.0000000000026080 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 5600
Bai, Yang
Li, Lanlan
Wang, Baolin
Qiu, Jie
Ren, Yucheng
He, Xiaochun
Li, Yilin
Jia, Yanfeng
He, Chunxiao
Cui, Hongmei
Lv, Ling
Lin, Xiaojuan
Zhang, Chong
Zhang, Honghong
Xu, Ruifeng
Liu, Qing
Luan, Hua
Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT
title Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT
title_full Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT
title_fullStr Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT
title_full_unstemmed Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT
title_short Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT
title_sort determining optimal gestational weight gain (gwg) in a northwest chinese population: a consort
topic 5600
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154430/
https://www.ncbi.nlm.nih.gov/pubmed/34032741
http://dx.doi.org/10.1097/MD.0000000000026080
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