Literature DB >> 30077160

The association between body mass index and postpartum depression: A population-based study.

Michael E Silverman1, Lauren Smith2, Paul Lichtenstein3, Abraham Reichenberg4, Sven Sandin5.   

Abstract

BACKGROUND: Postpartum depression (PPD) reportedly affects between 6.5-19% of all new mothers. Identifying those at greatest risk for PPD has implications for prevention, early detection and intervention. While the relationship between extremes of body mass index (BMI) and depression has been frequently studied, the association between BMI and PPD is less understood.
METHODS: Prospective cohort of all women with live singleton births in Sweden 1997-2008. We calculated the relative risk (RR) for PPD in relation to each woman's BMI and depression history. PPD diagnosis was based on a clinical diagnosis of depression within the first postpartum year.
RESULTS: First trimester BMI measurements were available for 611,506 women. Low BMI (< 18.5) RRadj = 1.52, [95% CI: 1.30-1.78] and high BMI (> 35) RRadj = 1.23, [95% CI: 1.04-1.45] were associated with increased PPD risk. Women with a depression history had an increased risk with low BMI (RRadj = 1.51, [95% CI: 1.17-1.95]). LIMITATIONS: Only first births were analyzed, potentially underestimating PPD incidence. Clinical data from health registries offers limited resolution regarding the specificity of diagnoses and incomplete sensitivity if women do not seek care.
CONCLUSIONS: First trimester of pregnancy BMI is associated with PPD risk. This risk is further modified by depression history. While low BMI places all women at risk for PPD, being overweight increases risk of PPD only in women without a history of depression. Future research should explore potentially modifiable mechanisms involved in the relationship between PPD and BMI and should also examine interventional strategies for pregnant women at the extremes of BMI and/or with a depression history.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body mass index; Epidemiology; Postpartum depression; Recurrent depression

Mesh:

Year:  2018        PMID: 30077160     DOI: 10.1016/j.jad.2018.07.063

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

1.  Association of Pain Catastrophizing with Postnatal Depressive States in Nulliparous Parturients: A Prospective Study.

Authors:  Yanzhi Zeng; Chin Wen Tan; Rehena Sultana; Tze-Ern Chua; Helen Yu Chen; Alex Tiong Heng Sia; Ban Leong Sng
Journal:  Neuropsychiatr Dis Treat       Date:  2020-07-30       Impact factor: 2.570

2.  Mothers at risk of postpartum depression in Sri Lanka: A population-based study using a validated screening tool.

Authors:  Therese Røysted-Solås; Sven Gudmund Hinderaker; Lasantha Ubesekara; Vijitha De Silva
Journal:  PLoS One       Date:  2022-05-25       Impact factor: 3.752

3.  Evaluation of antenatal risk factors for postpartum depression: a secondary cohort analysis of the cluster-randomised GeliS trial.

Authors:  Hamimatunnisa Johar; Julia Hoffmann; Julia Günther; Seryan Atasoy; Lynne Stecher; Monika Spies; Hans Hauner; Karl-Heinz Ladwig
Journal:  BMC Med       Date:  2020-07-24       Impact factor: 8.775

4.  Development of Postpartum Depression in Pregnant Women with Preeclampsia: A Retrospective Study.

Authors:  Li Chen; Xiaodan Wang; Qian Ding; Nan Shan; Hongbo Qi
Journal:  Biomed Res Int       Date:  2019-02-27       Impact factor: 3.411

5.  Labor Analgesia reduces the risk of postpartum depression: A cohort study.

Authors:  Li Ren; Qibin Chen; Su Min; Fangliang Peng; Bin Wang; Jian Yu; Yuxi Zhang
Journal:  Transl Neurosci       Date:  2021-10-25       Impact factor: 1.757

6.  Modifiable Maternal Factors and Their Relationship to Postpartum Depression.

Authors:  Kathryn Howard; Jill M Maples; Rachel A Tinius
Journal:  Int J Environ Res Public Health       Date:  2022-09-29       Impact factor: 4.614

7.  Association of prenatal psychological distress and postpartum depression with varying physical activity intensity: Japan Environment and Children's Study (JECS).

Authors:  Ryoko Susukida; Kentaro Usuda; Kei Hamazaki; Akiko Tsuchida; Kenta Matsumura; Daisuke Nishi; Hidekuni Inadera
Journal:  Sci Rep       Date:  2020-04-14       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.