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Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial
BACKGROUND: Maternal weight variables are important predictors of postpartum depression (PPD). While preliminary evidence points to an association between pre-pregnancy obesity and PPD, the role of excessive gestational weight gain (GWG) on PPD is less studied. In this secondary cohort analysis of t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379365/ https://www.ncbi.nlm.nih.gov/pubmed/32703266 http://dx.doi.org/10.1186/s12916-020-01679-7 |
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author | Johar, Hamimatunnisa Hoffmann, Julia Günther, Julia Atasoy, Seryan Stecher, Lynne Spies, Monika Hauner, Hans Ladwig, Karl-Heinz |
author_facet | Johar, Hamimatunnisa Hoffmann, Julia Günther, Julia Atasoy, Seryan Stecher, Lynne Spies, Monika Hauner, Hans Ladwig, Karl-Heinz |
author_sort | Johar, Hamimatunnisa |
collection | PubMed |
description | BACKGROUND: Maternal weight variables are important predictors of postpartum depression (PPD). While preliminary evidence points to an association between pre-pregnancy obesity and PPD, the role of excessive gestational weight gain (GWG) on PPD is less studied. In this secondary cohort analysis of the German ‘healthy living in pregnancy’ (GeliS) trial, we aimed to investigate associations between weight-related variables and PPD and to assess the influence of GWG on the risk for PPD. METHODS: We included women with normal weight, overweight, and obesity (BMI 18.5–40.0 kg/m(2)). Symptoms of PPD were assessed 6–8 weeks postpartum using the Edinburgh Postnatal Depression Scale. Pre-pregnancy BMI was self-reported. During the course of pregnancy, weight was measured at gynaecological practices within regular check-ups. GWG was defined as the difference between the last measured weight before delivery and the first measured weight at the time of recruitment (≤ 12(th) week of gestation). Excessive GWG was classified according to the Institute of Medicine. Multiple logistic regression analyses were used to estimate the odds of PPD in relation to pre-pregnancy BMI, GWG, and excessive GWG adjusting for important confounders. RESULTS: Of the total 1583 participants, 45.6% (n = 722) showed excessive GWG and 7.9% (n = 138) experienced PPD. Pre-pregnancy BMI (per 5-unit increase; OR = 1.23, 95% CI 1.08–1.41, p = 0.002) and pre-pregnancy overweight or obesity were significantly positively associated with the odds of developing PPD, particularly among women with an antenatal history of anxiety or depressive symptoms (overweight: OR = 1.93, 95% CI = 1.15–3.22, p = 0.01; obesity: OR = 2.11, 95% CI = 1.13–3.96, p = 0.02). Sociodemographic or lifestyle factors did not additively influence the odds of having PPD. In fully adjusted models, there was no significant evidence that GWG or the occurrence of excessive GWG increased the odds of experiencing PPD (excessive vs. non-excessive: OR = 3.48, 95% CI 0.35–34.94; GWG per 1 kg increase: OR = 1.16, 95% CI 0.94–1.44). CONCLUSION: Pre-pregnancy overweight or obesity is associated with PPD independent of concurrent risk factors. History of anxiety or depressive symptoms suggests a stress-induced link between pre-pregnancy weight and PPD. TRIAL REGISTRATION: NCT01958307, ClinicalTrials.gov, retrospectively registered on 9 October 2013. |
format | Online Article Text |
id | pubmed-7379365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73793652020-08-04 Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial Johar, Hamimatunnisa Hoffmann, Julia Günther, Julia Atasoy, Seryan Stecher, Lynne Spies, Monika Hauner, Hans Ladwig, Karl-Heinz BMC Med Research Article BACKGROUND: Maternal weight variables are important predictors of postpartum depression (PPD). While preliminary evidence points to an association between pre-pregnancy obesity and PPD, the role of excessive gestational weight gain (GWG) on PPD is less studied. In this secondary cohort analysis of the German ‘healthy living in pregnancy’ (GeliS) trial, we aimed to investigate associations between weight-related variables and PPD and to assess the influence of GWG on the risk for PPD. METHODS: We included women with normal weight, overweight, and obesity (BMI 18.5–40.0 kg/m(2)). Symptoms of PPD were assessed 6–8 weeks postpartum using the Edinburgh Postnatal Depression Scale. Pre-pregnancy BMI was self-reported. During the course of pregnancy, weight was measured at gynaecological practices within regular check-ups. GWG was defined as the difference between the last measured weight before delivery and the first measured weight at the time of recruitment (≤ 12(th) week of gestation). Excessive GWG was classified according to the Institute of Medicine. Multiple logistic regression analyses were used to estimate the odds of PPD in relation to pre-pregnancy BMI, GWG, and excessive GWG adjusting for important confounders. RESULTS: Of the total 1583 participants, 45.6% (n = 722) showed excessive GWG and 7.9% (n = 138) experienced PPD. Pre-pregnancy BMI (per 5-unit increase; OR = 1.23, 95% CI 1.08–1.41, p = 0.002) and pre-pregnancy overweight or obesity were significantly positively associated with the odds of developing PPD, particularly among women with an antenatal history of anxiety or depressive symptoms (overweight: OR = 1.93, 95% CI = 1.15–3.22, p = 0.01; obesity: OR = 2.11, 95% CI = 1.13–3.96, p = 0.02). Sociodemographic or lifestyle factors did not additively influence the odds of having PPD. In fully adjusted models, there was no significant evidence that GWG or the occurrence of excessive GWG increased the odds of experiencing PPD (excessive vs. non-excessive: OR = 3.48, 95% CI 0.35–34.94; GWG per 1 kg increase: OR = 1.16, 95% CI 0.94–1.44). CONCLUSION: Pre-pregnancy overweight or obesity is associated with PPD independent of concurrent risk factors. History of anxiety or depressive symptoms suggests a stress-induced link between pre-pregnancy weight and PPD. TRIAL REGISTRATION: NCT01958307, ClinicalTrials.gov, retrospectively registered on 9 October 2013. BioMed Central 2020-07-24 /pmc/articles/PMC7379365/ /pubmed/32703266 http://dx.doi.org/10.1186/s12916-020-01679-7 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 | Research Article Johar, Hamimatunnisa Hoffmann, Julia Günther, Julia Atasoy, Seryan Stecher, Lynne Spies, Monika Hauner, Hans Ladwig, Karl-Heinz Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial |
title | Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial |
title_full | Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial |
title_fullStr | Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial |
title_full_unstemmed | Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial |
title_short | Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial |
title_sort | evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised gelis trial |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379365/ https://www.ncbi.nlm.nih.gov/pubmed/32703266 http://dx.doi.org/10.1186/s12916-020-01679-7 |
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