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Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis
INTRODUCTION: Inappropriate gestational weight gain (GWG), including inadequate and excessive GWG, has become pandemic across nations and continents. This review aims to synthesise the evidence on the correlation between diet quality and GWG. If this association is confirmed, improving diet quality...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050399/ https://www.ncbi.nlm.nih.gov/pubmed/32114465 http://dx.doi.org/10.1136/bmjopen-2019-033130 |
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author | Yu, Yamei Hardy, Isabelle Sun, Wenguang Fergusson, Dean A Fraser, William Dubois, Lise |
author_facet | Yu, Yamei Hardy, Isabelle Sun, Wenguang Fergusson, Dean A Fraser, William Dubois, Lise |
author_sort | Yu, Yamei |
collection | PubMed |
description | INTRODUCTION: Inappropriate gestational weight gain (GWG), including inadequate and excessive GWG, has become pandemic across nations and continents. This review aims to synthesise the evidence on the correlation between diet quality and GWG. If this association is confirmed, improving diet quality could become an intervention target in the efforts to reduce inappropriate GWG. METHODS AND ANALYSIS: We will conduct a systematic review of all prospective cohort studies on diet quality in preconception or pregnancy and GWG. Our secondary outcomes include gestational diabetes, pre-eclampsia and birth weight. A comprehensive search of all published articles in MEDLINE ALL (Ovid), Embase (Ovid), Food Science and Technology Abstracts (Ovid) and CINAHL (EBSCOHost), from database creation to 20 April 2019, will be conducted. Studies will be screened for eligibility by title, abstract and full text in duplicate by two independent reviewers. Study quality and risk of bias will be assessed using the adapted Newcastle–Ottawa Scale. Results will be reported following the meta-analysis of observational studies in epidemiology guidelines. If sufficient data are available, a meta-analysis will be conducted to synthesise the effect size reported as OR with 95% CI using both fixed-effect and random-effect models. I(2) statistics and visual inspection of the forest plots will be used to assess heterogeneity and identify the potential sources of heterogeneity. Publication bias will be assessed by visual inspections of funnel plots and Egger’s test. ETHICS AND DISSEMINATION: Formal ethical approval is not required as no primary data will be collected. We aim to publish the results of this study in a peer-reviewed journal and present them at conferences and scientific meetings to promote knowledge transfer. PROSPERO REGISTRATION NUMBER: CRD42019128732 |
format | Online Article Text |
id | pubmed-7050399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70503992020-03-16 Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis Yu, Yamei Hardy, Isabelle Sun, Wenguang Fergusson, Dean A Fraser, William Dubois, Lise BMJ Open Nutrition and Metabolism INTRODUCTION: Inappropriate gestational weight gain (GWG), including inadequate and excessive GWG, has become pandemic across nations and continents. This review aims to synthesise the evidence on the correlation between diet quality and GWG. If this association is confirmed, improving diet quality could become an intervention target in the efforts to reduce inappropriate GWG. METHODS AND ANALYSIS: We will conduct a systematic review of all prospective cohort studies on diet quality in preconception or pregnancy and GWG. Our secondary outcomes include gestational diabetes, pre-eclampsia and birth weight. A comprehensive search of all published articles in MEDLINE ALL (Ovid), Embase (Ovid), Food Science and Technology Abstracts (Ovid) and CINAHL (EBSCOHost), from database creation to 20 April 2019, will be conducted. Studies will be screened for eligibility by title, abstract and full text in duplicate by two independent reviewers. Study quality and risk of bias will be assessed using the adapted Newcastle–Ottawa Scale. Results will be reported following the meta-analysis of observational studies in epidemiology guidelines. If sufficient data are available, a meta-analysis will be conducted to synthesise the effect size reported as OR with 95% CI using both fixed-effect and random-effect models. I(2) statistics and visual inspection of the forest plots will be used to assess heterogeneity and identify the potential sources of heterogeneity. Publication bias will be assessed by visual inspections of funnel plots and Egger’s test. ETHICS AND DISSEMINATION: Formal ethical approval is not required as no primary data will be collected. We aim to publish the results of this study in a peer-reviewed journal and present them at conferences and scientific meetings to promote knowledge transfer. PROSPERO REGISTRATION NUMBER: CRD42019128732 BMJ Publishing Group 2020-02-28 /pmc/articles/PMC7050399/ /pubmed/32114465 http://dx.doi.org/10.1136/bmjopen-2019-033130 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Nutrition and Metabolism Yu, Yamei Hardy, Isabelle Sun, Wenguang Fergusson, Dean A Fraser, William Dubois, Lise Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
title | Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
title_full | Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
title_fullStr | Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
title_full_unstemmed | Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
title_short | Diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
title_sort | diet quality during preconception or pregnancy and gestational weight gain: protocol for a systematic review and meta-analysis |
topic | Nutrition and Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050399/ https://www.ncbi.nlm.nih.gov/pubmed/32114465 http://dx.doi.org/10.1136/bmjopen-2019-033130 |
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