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Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial

BACKGROUND: The ability of a preventive nutritional intervention to reduce the morbidity of gestational diabetes mellitus (GDM) remains controversial. We aim to assess whether GDM can be prevented by an individualised nutritional intervention in pregnant women who are at high risk for the disease ba...

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Autores principales: Zhang, Chenjie, Wang, Lulu, Sun, Wenguang, Chen, Lei, Zhang, Chen, Li, Hong, Yu, Jiale, Fan, Jianxia, Ruan, Huijuan, Zheng, Tao, Wu, Dongling, Li, Shaojing, Lu, Huan, Wang, Man, Mol, Ben W., Huang, Hefeng, Wu, Yanting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385988/
https://www.ncbi.nlm.nih.gov/pubmed/34429102
http://dx.doi.org/10.1186/s12884-021-04039-2
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author Zhang, Chenjie
Wang, Lulu
Sun, Wenguang
Chen, Lei
Zhang, Chen
Li, Hong
Yu, Jiale
Fan, Jianxia
Ruan, Huijuan
Zheng, Tao
Wu, Dongling
Li, Shaojing
Lu, Huan
Wang, Man
Mol, Ben W.
Huang, Hefeng
Wu, Yanting
author_facet Zhang, Chenjie
Wang, Lulu
Sun, Wenguang
Chen, Lei
Zhang, Chen
Li, Hong
Yu, Jiale
Fan, Jianxia
Ruan, Huijuan
Zheng, Tao
Wu, Dongling
Li, Shaojing
Lu, Huan
Wang, Man
Mol, Ben W.
Huang, Hefeng
Wu, Yanting
author_sort Zhang, Chenjie
collection PubMed
description BACKGROUND: The ability of a preventive nutritional intervention to reduce the morbidity of gestational diabetes mellitus (GDM) remains controversial. We aim to assess whether GDM can be prevented by an individualised nutritional intervention in pregnant women who are at high risk for the disease based on a prediction model. METHODS/DESIGN: A multicentre randomised controlled trial was designed to assess the efficacy of an individualised nutritional intervention for the prevention of GDM in a high-risk population screened by a novel prediction model in the first trimester. Pregnant women evaluated to be at high risk for GDM by the prediction model at less than 14 gestational weeks will be included. Women with pre-existing chronic diseases, including pregestational diabetes, or who are currently prescribed medicines that affect glucose values will be excluded. Allocation to intervention/control at a ratio of 1:1 will be conducted by a computerized randomisation system. The intervention group will complete 3-day food records and receive 3 individualised nutritional consultations with professional dieticians before the oral glucose tolerance test. The primary intention of the intervention is to promote a long-term healthy dietary pattern and prevent excessive gestational weight gain throughout pregnancy. The control group will complete 3-day food records at designated gestational weeks and receive standard antenatal care according to local health care provisions. The primary outcome is the incidence of GDM according to the criteria of the International Association of Diabetes and Pregnancy Study Group (IADPSG). A sample of 464 participants will provide 80% power to detect a 30% reduction in GDM incidence (α = 0.05 two tailed, 10% dropout). A total of 500 participants will be recruited. DISCUSSION: To date, this is the first randomised controlled trial aimed to evaluate the protective effect of an individualised nutritional intervention against GDM based on a logistic regression prediction model. Eligibility is not limited to obese women or singleton pregnancies, as in previous studies. This pragmatic trial is expected to provide valuable information on early screening and effective GDM prevention methods. TRIAL REGISTRATION NUMBER: ChiCTR, ChiCTR1900026963. Registered 27 October 2019. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-04039-2.
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spelling pubmed-83859882021-08-26 Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial Zhang, Chenjie Wang, Lulu Sun, Wenguang Chen, Lei Zhang, Chen Li, Hong Yu, Jiale Fan, Jianxia Ruan, Huijuan Zheng, Tao Wu, Dongling Li, Shaojing Lu, Huan Wang, Man Mol, Ben W. Huang, Hefeng Wu, Yanting BMC Pregnancy Childbirth Study Protocol BACKGROUND: The ability of a preventive nutritional intervention to reduce the morbidity of gestational diabetes mellitus (GDM) remains controversial. We aim to assess whether GDM can be prevented by an individualised nutritional intervention in pregnant women who are at high risk for the disease based on a prediction model. METHODS/DESIGN: A multicentre randomised controlled trial was designed to assess the efficacy of an individualised nutritional intervention for the prevention of GDM in a high-risk population screened by a novel prediction model in the first trimester. Pregnant women evaluated to be at high risk for GDM by the prediction model at less than 14 gestational weeks will be included. Women with pre-existing chronic diseases, including pregestational diabetes, or who are currently prescribed medicines that affect glucose values will be excluded. Allocation to intervention/control at a ratio of 1:1 will be conducted by a computerized randomisation system. The intervention group will complete 3-day food records and receive 3 individualised nutritional consultations with professional dieticians before the oral glucose tolerance test. The primary intention of the intervention is to promote a long-term healthy dietary pattern and prevent excessive gestational weight gain throughout pregnancy. The control group will complete 3-day food records at designated gestational weeks and receive standard antenatal care according to local health care provisions. The primary outcome is the incidence of GDM according to the criteria of the International Association of Diabetes and Pregnancy Study Group (IADPSG). A sample of 464 participants will provide 80% power to detect a 30% reduction in GDM incidence (α = 0.05 two tailed, 10% dropout). A total of 500 participants will be recruited. DISCUSSION: To date, this is the first randomised controlled trial aimed to evaluate the protective effect of an individualised nutritional intervention against GDM based on a logistic regression prediction model. Eligibility is not limited to obese women or singleton pregnancies, as in previous studies. This pragmatic trial is expected to provide valuable information on early screening and effective GDM prevention methods. TRIAL REGISTRATION NUMBER: ChiCTR, ChiCTR1900026963. Registered 27 October 2019. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-04039-2. BioMed Central 2021-08-24 /pmc/articles/PMC8385988/ /pubmed/34429102 http://dx.doi.org/10.1186/s12884-021-04039-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Study Protocol
Zhang, Chenjie
Wang, Lulu
Sun, Wenguang
Chen, Lei
Zhang, Chen
Li, Hong
Yu, Jiale
Fan, Jianxia
Ruan, Huijuan
Zheng, Tao
Wu, Dongling
Li, Shaojing
Lu, Huan
Wang, Man
Mol, Ben W.
Huang, Hefeng
Wu, Yanting
Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
title Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
title_full Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
title_fullStr Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
title_full_unstemmed Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
title_short Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
title_sort effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385988/
https://www.ncbi.nlm.nih.gov/pubmed/34429102
http://dx.doi.org/10.1186/s12884-021-04039-2
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