scholarly journals Effect of Lifestyle Coaching Including Telemonitoring and Telecoaching on Gestational Weight Gain and Postnatal Weight Loss: A Systematic Review

2019 ◽  
Vol 25 (10) ◽  
pp. 889-901 ◽  
Author(s):  
Lotte Mertens ◽  
Marijke A.K.A. Braeken ◽  
Annick Bogaerts
2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 803-803
Author(s):  
Ramkripa Raghavan ◽  
Sharon M Donovan ◽  
Kathryn Dewey ◽  
Rachel Novotny ◽  
Jamie Stang ◽  
...  

Abstract Objectives To inform the 2020–2025 Dietary Guidelines for Americans, USDA and HHS identified important public health questions to be examined by the 2020 Dietary Guidelines Advisory Committee. The Committee conducted 2 systematic reviews with support from USDA's Nutrition Evidence Systematic Review (NESR) team to answer the following questions: What is the relationship between dietary patterns (DP) consumed during 1) pregnancy and gestational weight gain (GWG)?, and 2) lactation and postpartum weight loss (PPWL)? Methods The Committee developed protocols that described how they would use NESR's systematic review methodology to examine the systematic review questions. NESR conducted a literature search and dual-screened the results using pre-defined inclusion and exclusion criteria to identify articles published between Jan 2000 and Nov 2019. NESR extracted data and assessed risk of bias of included studies. The Committee synthesized the evidence, developed conclusion statements, and graded the strength of the evidence underlying the conclusion statements. Results Twenty-six articles were included in the GWG review and 1 article in the PPWL review. The GWG review included 5 RCTs and 21 prospective cohort studies. Two RCTs showed that a “beneficial” DP was associated with lower GWG. Thirteen of the 20 observational studies showed an association between DP and GWG. Although the DPs examined were characterized by different combinations of foods and beverages, the patterns consistently associated with lower GWG were higher in vegetables, fruits, nuts, legumes, and fish and lower in added sugars and red and processed meats. The PPWL review included only one RCT, which was limited by high attrition, issues with implementing the intervention, and lack of blinding. Conclusions Limited evidence suggests that certain DPs during pregnancy are associated with a lower risk of excessive GWG. These patterns are higher in vegetables, fruits, nuts, legumes, and fish, and lower in added sugar, and red and processed meat (Grade: Limited). Insufficient evidence is available to determine the relationship between DPs during lactation and PPWL (Grade: Grade Not Assignable). Funding Sources USDA, Food and Nutrition Service, Center for Nutrition Policy and Promotion.


2014 ◽  
Vol 36 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Mufiza Zia Kapadia ◽  
Anca Gaston ◽  
Sherry Van Blyderveen ◽  
Louis Schmidt ◽  
Joseph Beyene ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e033130
Author(s):  
Yamei Yu ◽  
Isabelle Hardy ◽  
Wenguang Sun ◽  
Dean A Fergusson ◽  
William Fraser ◽  
...  

IntroductionInappropriate 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 analysisWe 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. I2 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 disseminationFormal 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 numberCRD42019128732


Birth ◽  
2020 ◽  
Vol 47 (4) ◽  
pp. 322-331 ◽  
Author(s):  
Shauna Callaghan ◽  
Eileen O’Brien ◽  
Barbara Coughlan ◽  
Fionnuala M. McAuliffe

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Michelle A. Kominiarek ◽  
Adam K. Lewkowitz ◽  
Ebony Carter ◽  
Susan A. Fowler ◽  
Melissa Simon

2015 ◽  
Vol 123 (2) ◽  
pp. 199-206 ◽  
Author(s):  
MA Faucher ◽  
M Hastings-Tolsma ◽  
JJ Song ◽  
DS Willoughby ◽  
S Gerding Bader

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