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Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model

BACKGROUND: Various forms of life stressors have been implicated as causes of antenatal depression. However, there is a lack of understanding of which forms of stress lead to antenatal depression and through what mechanisms. Modeling stress processes within a theoretical model framework can enhance...

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Autores principales: Dadi, Abel Fekadu, Miller, Emma R., Woodman, Richard, Bisetegn, Telake Azale, Mwanri, Lillian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079401/
https://www.ncbi.nlm.nih.gov/pubmed/32183726
http://dx.doi.org/10.1186/s12884-020-02859-2
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author Dadi, Abel Fekadu
Miller, Emma R.
Woodman, Richard
Bisetegn, Telake Azale
Mwanri, Lillian
author_facet Dadi, Abel Fekadu
Miller, Emma R.
Woodman, Richard
Bisetegn, Telake Azale
Mwanri, Lillian
author_sort Dadi, Abel Fekadu
collection PubMed
description BACKGROUND: Various forms of life stressors have been implicated as causes of antenatal depression. However, there is a lack of understanding of which forms of stress lead to antenatal depression and through what mechanisms. Modeling stress processes within a theoretical model framework can enhance an understanding of the mechanisms underlying relationships between stressors and stress outcomes. This study used the stress process model framework to explore the causal mechanisms underlying antenatal depression in Gondar, Ethiopia. METHODS: Questionnaires, using an Online Data collection Kit (ODK) tool were administered face-to-face in 916 pregnant women in their second and third trimesters. Pregnant women were included from six randomly selected urban districts in Gondar, Ethiopia during June and August 2018. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for antenatal depression. A Structural Equation Model (SEM) was employed to explore the direct, indirect, and total effect of stressors and mediators of antenatal depression. RESULT: Sixty-three participants (6.9%) reported symptoms of depression. Of these, 16 (4.7%) and 47 (8.1%) were in their second and third trimesters, respectively. The SEM demonstrated several direct effects on antenatal depression scores including unplanned pregnancy (standardized β = 0.15), having a history of common mental health disorder (standardized β = 0.18) and fear of giving birth to the current pregnancy (standardized β = 0.29), all of which were associated with a higher depression score. Adequate food access for the last 3 months (standardized β = − 0.11) was associated with decreased depression score. Social support (β = − 0.21), marital agreement (β = − 0.28), and partner support (β = −.18) appeared to partially mediate the link between the identified stressors and the risk of antenatal depression. CONCLUSION: Both direct and indirect effects contributed to higher antenatal depression score in Ethiopian women. The three psychosocial resources namely marital agreement, social and partner support, mediated reduced antenatal depression scores. Early screening of antenatal depression and enhancing the three psychosocial resources would help to improve maternal resilience.
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spelling pubmed-70794012020-03-23 Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model Dadi, Abel Fekadu Miller, Emma R. Woodman, Richard Bisetegn, Telake Azale Mwanri, Lillian BMC Pregnancy Childbirth Research Article BACKGROUND: Various forms of life stressors have been implicated as causes of antenatal depression. However, there is a lack of understanding of which forms of stress lead to antenatal depression and through what mechanisms. Modeling stress processes within a theoretical model framework can enhance an understanding of the mechanisms underlying relationships between stressors and stress outcomes. This study used the stress process model framework to explore the causal mechanisms underlying antenatal depression in Gondar, Ethiopia. METHODS: Questionnaires, using an Online Data collection Kit (ODK) tool were administered face-to-face in 916 pregnant women in their second and third trimesters. Pregnant women were included from six randomly selected urban districts in Gondar, Ethiopia during June and August 2018. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for antenatal depression. A Structural Equation Model (SEM) was employed to explore the direct, indirect, and total effect of stressors and mediators of antenatal depression. RESULT: Sixty-three participants (6.9%) reported symptoms of depression. Of these, 16 (4.7%) and 47 (8.1%) were in their second and third trimesters, respectively. The SEM demonstrated several direct effects on antenatal depression scores including unplanned pregnancy (standardized β = 0.15), having a history of common mental health disorder (standardized β = 0.18) and fear of giving birth to the current pregnancy (standardized β = 0.29), all of which were associated with a higher depression score. Adequate food access for the last 3 months (standardized β = − 0.11) was associated with decreased depression score. Social support (β = − 0.21), marital agreement (β = − 0.28), and partner support (β = −.18) appeared to partially mediate the link between the identified stressors and the risk of antenatal depression. CONCLUSION: Both direct and indirect effects contributed to higher antenatal depression score in Ethiopian women. The three psychosocial resources namely marital agreement, social and partner support, mediated reduced antenatal depression scores. Early screening of antenatal depression and enhancing the three psychosocial resources would help to improve maternal resilience. BioMed Central 2020-03-17 /pmc/articles/PMC7079401/ /pubmed/32183726 http://dx.doi.org/10.1186/s12884-020-02859-2 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
Dadi, Abel Fekadu
Miller, Emma R.
Woodman, Richard
Bisetegn, Telake Azale
Mwanri, Lillian
Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
title Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
title_full Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
title_fullStr Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
title_full_unstemmed Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
title_short Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
title_sort antenatal depression and its potential causal mechanisms among pregnant mothers in gondar town: application of structural equation model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079401/
https://www.ncbi.nlm.nih.gov/pubmed/32183726
http://dx.doi.org/10.1186/s12884-020-02859-2
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