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Postpartum depression symptoms in survey-based research: a structural equation analysis
BACKGROUND: Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839191/ https://www.ncbi.nlm.nih.gov/pubmed/33499833 http://dx.doi.org/10.1186/s12889-020-09999-2 |
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author | Wan Mohamed Radzi, Che Wan Jasimah Bt Salarzadeh Jenatabadi, Hashem Samsudin, Nadia |
author_facet | Wan Mohamed Radzi, Che Wan Jasimah Bt Salarzadeh Jenatabadi, Hashem Samsudin, Nadia |
author_sort | Wan Mohamed Radzi, Che Wan Jasimah Bt |
collection | PubMed |
description | BACKGROUND: Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. METHODS: We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. RESULTS: Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. CONCLUSION: The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening. |
format | Online Article Text |
id | pubmed-7839191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78391912021-01-27 Postpartum depression symptoms in survey-based research: a structural equation analysis Wan Mohamed Radzi, Che Wan Jasimah Bt Salarzadeh Jenatabadi, Hashem Samsudin, Nadia BMC Public Health Research Article BACKGROUND: Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. METHODS: We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. RESULTS: Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. CONCLUSION: The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening. BioMed Central 2021-01-27 /pmc/articles/PMC7839191/ /pubmed/33499833 http://dx.doi.org/10.1186/s12889-020-09999-2 Text en © The Author(s) 2021 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 Wan Mohamed Radzi, Che Wan Jasimah Bt Salarzadeh Jenatabadi, Hashem Samsudin, Nadia Postpartum depression symptoms in survey-based research: a structural equation analysis |
title | Postpartum depression symptoms in survey-based research: a structural equation analysis |
title_full | Postpartum depression symptoms in survey-based research: a structural equation analysis |
title_fullStr | Postpartum depression symptoms in survey-based research: a structural equation analysis |
title_full_unstemmed | Postpartum depression symptoms in survey-based research: a structural equation analysis |
title_short | Postpartum depression symptoms in survey-based research: a structural equation analysis |
title_sort | postpartum depression symptoms in survey-based research: a structural equation analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839191/ https://www.ncbi.nlm.nih.gov/pubmed/33499833 http://dx.doi.org/10.1186/s12889-020-09999-2 |
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