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How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial

OBJECTIVES: We aimed to investigate the predictive potential of early pregnancy factors such as lifestyle, gestational weight gain (GWG) and mental well-being on gestational diabetes mellitus (GDM) beyond established risk factors. METHODS: GDM risk was investigated in the cohort of the German ‘Gesun...

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Autores principales: Günther, Julia, Hoffmann, Julia, Stecher, Lynne, Spies, Monika, Geyer, Kristina, Raab, Roxana, Meyer, Dorothy, Rauh, Kathrin, Hauner, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766288/
https://www.ncbi.nlm.nih.gov/pubmed/33893447
http://dx.doi.org/10.1038/s41430-021-00910-9
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author Günther, Julia
Hoffmann, Julia
Stecher, Lynne
Spies, Monika
Geyer, Kristina
Raab, Roxana
Meyer, Dorothy
Rauh, Kathrin
Hauner, Hans
author_facet Günther, Julia
Hoffmann, Julia
Stecher, Lynne
Spies, Monika
Geyer, Kristina
Raab, Roxana
Meyer, Dorothy
Rauh, Kathrin
Hauner, Hans
author_sort Günther, Julia
collection PubMed
description OBJECTIVES: We aimed to investigate the predictive potential of early pregnancy factors such as lifestyle, gestational weight gain (GWG) and mental well-being on gestational diabetes mellitus (GDM) beyond established risk factors. METHODS: GDM risk was investigated in the cohort of the German ‘Gesund leben in der Schwangerschaft’/healthy living in pregnancy study. Women were recruited up to the 12(th) week of gestation. GDM was diagnosed with a 75 g oral glucose tolerance test between the 24(th) and 28(th) weeks of gestation. Pre-pregnancy age and weight, mental health and lifestyle were assessed via questionnaires. Maternal weight was measured throughout pregnancy. Early excessive GWG was defined based on the guidelines of the Institute of Medicine. The association between several factors and the odds of developing GDM was assessed using multiple logistic regression analyses. RESULTS: Of 1694 included women, 10.8% developed GDM. The odds increased with pre-pregnancy BMI and age (women with obesity: 4.91, CI 3.35–7.19, p < 0.001; women aged 36–43 years: 2.84, CI 1.45–5.56, p = 0.002). Early excessive GWG, mental health and general lifestyle ratings were no significant risk factors. A 31% reduction in the odds of GDM was observed when <30% of energy was consumed from fat (OR 0.69, CI 0.49–0.96, p = 0.026). Vigorous physical activity tended to lower the odds without evidence of statistical significance (OR 0.59 per 10 MET-h/week, p = 0.076). CONCLUSIONS: Maternal age and BMI stand out as the most important drivers of GDM. Early pregnancy factors like dietary fat content seem to be associated with GDM risk. Further evaluation is warranted before providing reliable recommendations.
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spelling pubmed-87662882022-02-04 How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial Günther, Julia Hoffmann, Julia Stecher, Lynne Spies, Monika Geyer, Kristina Raab, Roxana Meyer, Dorothy Rauh, Kathrin Hauner, Hans Eur J Clin Nutr Article OBJECTIVES: We aimed to investigate the predictive potential of early pregnancy factors such as lifestyle, gestational weight gain (GWG) and mental well-being on gestational diabetes mellitus (GDM) beyond established risk factors. METHODS: GDM risk was investigated in the cohort of the German ‘Gesund leben in der Schwangerschaft’/healthy living in pregnancy study. Women were recruited up to the 12(th) week of gestation. GDM was diagnosed with a 75 g oral glucose tolerance test between the 24(th) and 28(th) weeks of gestation. Pre-pregnancy age and weight, mental health and lifestyle were assessed via questionnaires. Maternal weight was measured throughout pregnancy. Early excessive GWG was defined based on the guidelines of the Institute of Medicine. The association between several factors and the odds of developing GDM was assessed using multiple logistic regression analyses. RESULTS: Of 1694 included women, 10.8% developed GDM. The odds increased with pre-pregnancy BMI and age (women with obesity: 4.91, CI 3.35–7.19, p < 0.001; women aged 36–43 years: 2.84, CI 1.45–5.56, p = 0.002). Early excessive GWG, mental health and general lifestyle ratings were no significant risk factors. A 31% reduction in the odds of GDM was observed when <30% of energy was consumed from fat (OR 0.69, CI 0.49–0.96, p = 0.026). Vigorous physical activity tended to lower the odds without evidence of statistical significance (OR 0.59 per 10 MET-h/week, p = 0.076). CONCLUSIONS: Maternal age and BMI stand out as the most important drivers of GDM. Early pregnancy factors like dietary fat content seem to be associated with GDM risk. Further evaluation is warranted before providing reliable recommendations. Nature Publishing Group UK 2021-04-23 2022 /pmc/articles/PMC8766288/ /pubmed/33893447 http://dx.doi.org/10.1038/s41430-021-00910-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Günther, Julia
Hoffmann, Julia
Stecher, Lynne
Spies, Monika
Geyer, Kristina
Raab, Roxana
Meyer, Dorothy
Rauh, Kathrin
Hauner, Hans
How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial
title How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial
title_full How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial
title_fullStr How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial
title_full_unstemmed How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial
title_short How does antenatal lifestyle affect the risk for gestational diabetes mellitus? A secondary cohort analysis from the GeliS trial
title_sort how does antenatal lifestyle affect the risk for gestational diabetes mellitus? a secondary cohort analysis from the gelis trial
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766288/
https://www.ncbi.nlm.nih.gov/pubmed/33893447
http://dx.doi.org/10.1038/s41430-021-00910-9
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