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Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level
BACKGROUND: Parental burnout has become increasingly common, which can lead to a range of adverse outcomes. Postnatal mothers are vulnerable and mothers with high postpartum depression scores may be more prone to parental burnout. This study aims to investigate the association between postnatal depr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246355/ https://www.ncbi.nlm.nih.gov/pubmed/37286938 http://dx.doi.org/10.1186/s12888-023-04853-2 |
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author | Huang, Yongqi Mao, Fangxiang Zhang, Xuan wang, Juan Xu, Zhaojuan Cao, Fenglin |
author_facet | Huang, Yongqi Mao, Fangxiang Zhang, Xuan wang, Juan Xu, Zhaojuan Cao, Fenglin |
author_sort | Huang, Yongqi |
collection | PubMed |
description | BACKGROUND: Parental burnout has become increasingly common, which can lead to a range of adverse outcomes. Postnatal mothers are vulnerable and mothers with high postpartum depression scores may be more prone to parental burnout. This study aims to investigate the association between postnatal depressive symptoms and parental burnout at both the population and individual levels. METHODS: This study comprised a cross-sectional study design and participants were recruited using convenience sampling. A total of 560 postnatal mothers answered a questionnaire on their general information, postnatal depressive symptoms and parental burnout. Multiple linear regression and binary logistic regression analysis were used to examine the association between postnatal depressive symptoms and parental burnout. Furthermore, latent class analysis was used to identify subtypes of parental burnout. Finally, binary logistic regression was used to examine the differences in postnatal depressive symptoms between latent classes comprising parental burnout. RESULTS: The prevalence of burnout was approximately 10%. At the population level, postnatal depressive symptoms were positively associated with parental burnout (all P < 0.05). At the individual level, two latent classes were identified (i.e., “low parental burnout class” and “high parental burnout class”). Moreover, mothers with postnatal depressive symptoms were more likely to be associated with high parental burnout (PB) class than the low parental burnout class (OR = 1.12, 95% CI:1.03 to 1.23). CONCLUSION: This study found a positive relationship between postnatal depressive symptoms and parental burnout. It provided evidence for developing depression-targeted programs for parental burnout, which could bring great benefits for both mothers and infants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-04853-2. |
format | Online Article Text |
id | pubmed-10246355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102463552023-06-08 Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level Huang, Yongqi Mao, Fangxiang Zhang, Xuan wang, Juan Xu, Zhaojuan Cao, Fenglin BMC Psychiatry Research BACKGROUND: Parental burnout has become increasingly common, which can lead to a range of adverse outcomes. Postnatal mothers are vulnerable and mothers with high postpartum depression scores may be more prone to parental burnout. This study aims to investigate the association between postnatal depressive symptoms and parental burnout at both the population and individual levels. METHODS: This study comprised a cross-sectional study design and participants were recruited using convenience sampling. A total of 560 postnatal mothers answered a questionnaire on their general information, postnatal depressive symptoms and parental burnout. Multiple linear regression and binary logistic regression analysis were used to examine the association between postnatal depressive symptoms and parental burnout. Furthermore, latent class analysis was used to identify subtypes of parental burnout. Finally, binary logistic regression was used to examine the differences in postnatal depressive symptoms between latent classes comprising parental burnout. RESULTS: The prevalence of burnout was approximately 10%. At the population level, postnatal depressive symptoms were positively associated with parental burnout (all P < 0.05). At the individual level, two latent classes were identified (i.e., “low parental burnout class” and “high parental burnout class”). Moreover, mothers with postnatal depressive symptoms were more likely to be associated with high parental burnout (PB) class than the low parental burnout class (OR = 1.12, 95% CI:1.03 to 1.23). CONCLUSION: This study found a positive relationship between postnatal depressive symptoms and parental burnout. It provided evidence for developing depression-targeted programs for parental burnout, which could bring great benefits for both mothers and infants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-04853-2. BioMed Central 2023-06-07 /pmc/articles/PMC10246355/ /pubmed/37286938 http://dx.doi.org/10.1186/s12888-023-04853-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Huang, Yongqi Mao, Fangxiang Zhang, Xuan wang, Juan Xu, Zhaojuan Cao, Fenglin Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
title | Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
title_full | Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
title_fullStr | Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
title_full_unstemmed | Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
title_short | Exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
title_sort | exploring the relationship between postnatal depressive symptoms and parental burnout from the perspective of the population and individual level |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246355/ https://www.ncbi.nlm.nih.gov/pubmed/37286938 http://dx.doi.org/10.1186/s12888-023-04853-2 |
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