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Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort

Globally, there has been a renewed focus on addressing gestational weight gain (GWG). In Australia, the Department of Health pregnancy care guidelines recommend women be offered routine weighing and receive brief nutritional and physical activity support during antenatal care visits. Women gaining w...

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Autores principales: Fealy, Shanna, Hollis, Jenna, Martin, Julia, Leigh, Lucy, Oldmeadow, Christopher, Collins, Clare E., Smith, Roger, Wilkinson, Shelley, Hure, Alexis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779448/
https://www.ncbi.nlm.nih.gov/pubmed/35057562
http://dx.doi.org/10.3390/nu14020381
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author Fealy, Shanna
Hollis, Jenna
Martin, Julia
Leigh, Lucy
Oldmeadow, Christopher
Collins, Clare E.
Smith, Roger
Wilkinson, Shelley
Hure, Alexis
author_facet Fealy, Shanna
Hollis, Jenna
Martin, Julia
Leigh, Lucy
Oldmeadow, Christopher
Collins, Clare E.
Smith, Roger
Wilkinson, Shelley
Hure, Alexis
author_sort Fealy, Shanna
collection PubMed
description Globally, there has been a renewed focus on addressing gestational weight gain (GWG). In Australia, the Department of Health pregnancy care guidelines recommend women be offered routine weighing and receive brief nutritional and physical activity support during antenatal care visits. Women gaining weight outside the Institute of Medicine (IOM)’s weight gain reference values are further recommended to be referred to a dietitian. However, professional and organizational barriers, including an absence of weight gain referral pathways and limited workforce resources, exist with the translation and scaling of these recommendations into practice. This study aimed to explore patterns of GWG among a cohort of Australian pregnant women and to determine if pregnancy weight gains of above or below 2 kg or 5 kg in the second and third trimester can be used to predict total GWG outside recommendations. Sensitivity, specificity, negative, and positive likelihood ratios were calculated. The most predictive time point was 24 weeks’ gestation using the minimum weight change parameter of +/−2 kg, demonstrating reasonable sensitivity (0.81, 95% CI 0.61–0.83) and specificity (0.72, 95% CI 0.61–0.83), resulting in 55% (n = 72/131) of the cohort qualifying for dietetic referral. Given the current health service constraints, a review of dietetic services within maternity care is warranted.
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spelling pubmed-87794482022-01-22 Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort Fealy, Shanna Hollis, Jenna Martin, Julia Leigh, Lucy Oldmeadow, Christopher Collins, Clare E. Smith, Roger Wilkinson, Shelley Hure, Alexis Nutrients Article Globally, there has been a renewed focus on addressing gestational weight gain (GWG). In Australia, the Department of Health pregnancy care guidelines recommend women be offered routine weighing and receive brief nutritional and physical activity support during antenatal care visits. Women gaining weight outside the Institute of Medicine (IOM)’s weight gain reference values are further recommended to be referred to a dietitian. However, professional and organizational barriers, including an absence of weight gain referral pathways and limited workforce resources, exist with the translation and scaling of these recommendations into practice. This study aimed to explore patterns of GWG among a cohort of Australian pregnant women and to determine if pregnancy weight gains of above or below 2 kg or 5 kg in the second and third trimester can be used to predict total GWG outside recommendations. Sensitivity, specificity, negative, and positive likelihood ratios were calculated. The most predictive time point was 24 weeks’ gestation using the minimum weight change parameter of +/−2 kg, demonstrating reasonable sensitivity (0.81, 95% CI 0.61–0.83) and specificity (0.72, 95% CI 0.61–0.83), resulting in 55% (n = 72/131) of the cohort qualifying for dietetic referral. Given the current health service constraints, a review of dietetic services within maternity care is warranted. MDPI 2022-01-17 /pmc/articles/PMC8779448/ /pubmed/35057562 http://dx.doi.org/10.3390/nu14020381 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fealy, Shanna
Hollis, Jenna
Martin, Julia
Leigh, Lucy
Oldmeadow, Christopher
Collins, Clare E.
Smith, Roger
Wilkinson, Shelley
Hure, Alexis
Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort
title Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort
title_full Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort
title_fullStr Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort
title_full_unstemmed Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort
title_short Modeling the Predictive Value of Evidence-Based Referral Criteria to Support Healthy Gestational Weight Gain among an Australian Pregnancy Cohort
title_sort modeling the predictive value of evidence-based referral criteria to support healthy gestational weight gain among an australian pregnancy cohort
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779448/
https://www.ncbi.nlm.nih.gov/pubmed/35057562
http://dx.doi.org/10.3390/nu14020381
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