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An examination of the association between marital status and prenatal mental disorders using linked health administrative data
BACKGROUND: International research shows marital status impacts the mental health of pregnant women, with prenatal depression and anxiety being higher among non-partnered women. However, there have been few studies examining the relationship between marital status and prenatal mental disorders among...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526285/ https://www.ncbi.nlm.nih.gov/pubmed/36182904 http://dx.doi.org/10.1186/s12884-022-05045-8 |
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author | Bedaso, Asres Adams, Jon Peng, Wenbo Xu, Fenglian Sibbritt, David |
author_facet | Bedaso, Asres Adams, Jon Peng, Wenbo Xu, Fenglian Sibbritt, David |
author_sort | Bedaso, Asres |
collection | PubMed |
description | BACKGROUND: International research shows marital status impacts the mental health of pregnant women, with prenatal depression and anxiety being higher among non-partnered women. However, there have been few studies examining the relationship between marital status and prenatal mental disorders among Australian women. METHODS: This is a population-based retrospective cohort study using linked data from the New South Wales (NSW) Perinatal Data Collection (PDC) and Admitted Patients Data Collection (APDC). The cohort consists of a total of 598,599 pregnant women with 865,349 admissions. Identification of pregnant women for mental disorders was conducted using the 10(th) version International Classification of Diseases and Related Health Problems, Australian Modification (ICD-10-AM). A binary logistic regression model was used to estimate the relationship between marital status and prenatal mental disorder after adjusting for confounders. RESULTS: Of the included pregnant women, 241 (0.04%), 107 (0.02%) and 4359 (0.5%) were diagnosed with depressive disorder, anxiety disorder, and self-harm, respectively. Non-partnered pregnant women had a higher likelihood of depressive disorder (Adjusted Odds Ratio (AOR) = 2.75; 95% CI: 2.04, 3.70) and anxiety disorder (AOR = 3.16, 95% CI: 2.03, 4.91), compared with partnered women. Furthermore, the likelihood of experiencing self-harm was two times higher among non-partnered pregnant women (AOR = 2.00; 95% CI: 1.82, 2.20) than partnered pregnant women. CONCLUSIONS: Non-partnered marital status has a significant positive association with prenatal depressive disorder, anxiety disorder and self-harm. This suggests it would be highly beneficial for maternal health care professionals to screen non-partnered pregnant women for prenatal mental health problems such as depression, anxiety and self-harm. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05045-8. |
format | Online Article Text |
id | pubmed-9526285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95262852022-10-02 An examination of the association between marital status and prenatal mental disorders using linked health administrative data Bedaso, Asres Adams, Jon Peng, Wenbo Xu, Fenglian Sibbritt, David BMC Pregnancy Childbirth Research BACKGROUND: International research shows marital status impacts the mental health of pregnant women, with prenatal depression and anxiety being higher among non-partnered women. However, there have been few studies examining the relationship between marital status and prenatal mental disorders among Australian women. METHODS: This is a population-based retrospective cohort study using linked data from the New South Wales (NSW) Perinatal Data Collection (PDC) and Admitted Patients Data Collection (APDC). The cohort consists of a total of 598,599 pregnant women with 865,349 admissions. Identification of pregnant women for mental disorders was conducted using the 10(th) version International Classification of Diseases and Related Health Problems, Australian Modification (ICD-10-AM). A binary logistic regression model was used to estimate the relationship between marital status and prenatal mental disorder after adjusting for confounders. RESULTS: Of the included pregnant women, 241 (0.04%), 107 (0.02%) and 4359 (0.5%) were diagnosed with depressive disorder, anxiety disorder, and self-harm, respectively. Non-partnered pregnant women had a higher likelihood of depressive disorder (Adjusted Odds Ratio (AOR) = 2.75; 95% CI: 2.04, 3.70) and anxiety disorder (AOR = 3.16, 95% CI: 2.03, 4.91), compared with partnered women. Furthermore, the likelihood of experiencing self-harm was two times higher among non-partnered pregnant women (AOR = 2.00; 95% CI: 1.82, 2.20) than partnered pregnant women. CONCLUSIONS: Non-partnered marital status has a significant positive association with prenatal depressive disorder, anxiety disorder and self-harm. This suggests it would be highly beneficial for maternal health care professionals to screen non-partnered pregnant women for prenatal mental health problems such as depression, anxiety and self-harm. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05045-8. BioMed Central 2022-10-01 /pmc/articles/PMC9526285/ /pubmed/36182904 http://dx.doi.org/10.1186/s12884-022-05045-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (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 Bedaso, Asres Adams, Jon Peng, Wenbo Xu, Fenglian Sibbritt, David An examination of the association between marital status and prenatal mental disorders using linked health administrative data |
title | An examination of the association between marital status and prenatal mental disorders using linked health administrative data |
title_full | An examination of the association between marital status and prenatal mental disorders using linked health administrative data |
title_fullStr | An examination of the association between marital status and prenatal mental disorders using linked health administrative data |
title_full_unstemmed | An examination of the association between marital status and prenatal mental disorders using linked health administrative data |
title_short | An examination of the association between marital status and prenatal mental disorders using linked health administrative data |
title_sort | examination of the association between marital status and prenatal mental disorders using linked health administrative data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526285/ https://www.ncbi.nlm.nih.gov/pubmed/36182904 http://dx.doi.org/10.1186/s12884-022-05045-8 |
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