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

Abstract 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...

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Main Authors: Abel Fekadu Dadi, Emma R. Miller, Richard Woodman, Telake Azale Bisetegn, Lillian Mwanri
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Pregnancy and Childbirth
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12884-020-02859-2
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spelling doaj-63254a56f6a44329934ec1d5504f9c9c2020-11-25T02:50:25ZengBMCBMC Pregnancy and Childbirth1471-23932020-03-0120111510.1186/s12884-020-02859-2Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation modelAbel Fekadu Dadi0Emma R. Miller1Richard Woodman2Telake Azale Bisetegn3Lillian Mwanri4Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of GondarCollege of Medicine and Public health, Discipline of Public health, Flinders UniversityCollege of Medicine and Public health, Center for Epidemiology and BiostatisticsDepartment of Health promotion and Behavioral sciences, Institute of Public Health, College of Medicine and Health Sciences, University of GondarCollege of Medicine and Public health, Discipline of Public health, Flinders UniversityAbstract 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.http://link.springer.com/article/10.1186/s12884-020-02859-2Antenatal depressionPregnant mothersStructural equation modelingStressor
collection DOAJ
language English
format Article
sources DOAJ
author Abel Fekadu Dadi
Emma R. Miller
Richard Woodman
Telake Azale Bisetegn
Lillian Mwanri
spellingShingle Abel Fekadu Dadi
Emma R. Miller
Richard Woodman
Telake Azale Bisetegn
Lillian Mwanri
Antenatal depression and its potential causal mechanisms among pregnant mothers in Gondar town: application of structural equation model
BMC Pregnancy and Childbirth
Antenatal depression
Pregnant mothers
Structural equation modeling
Stressor
author_facet Abel Fekadu Dadi
Emma R. Miller
Richard Woodman
Telake Azale Bisetegn
Lillian Mwanri
author_sort Abel Fekadu Dadi
title 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_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_sort antenatal depression and its potential causal mechanisms among pregnant mothers in gondar town: application of structural equation model
publisher BMC
series BMC Pregnancy and Childbirth
issn 1471-2393
publishDate 2020-03-01
description Abstract 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.
topic Antenatal depression
Pregnant mothers
Structural equation modeling
Stressor
url http://link.springer.com/article/10.1186/s12884-020-02859-2
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