An examination of the association between marital status and prenatal mental disorders using linked health administrative data.

Bedaso, A; Adams, J; Peng, W; Xu, F; Sibbritt, D

An examination of the association between marital status and prenatal mental disorders using linked health administrative data.

Bedaso, A Adams, J Peng, W Xu, F Sibbritt, D

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Publisher:: BMC
Publication Type:: Journal Article
Citation:: BMC Pregnancy Childbirth, 2022, 22, (1), pp. 735
Issue Date:: 2022-10-01

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Field	Value	Language
dc.contributor.author	Bedaso, A
dc.contributor.author	Adams, J
dc.contributor.author	Peng, W
dc.contributor.author	Xu, F
dc.contributor.author	Sibbritt, D
dc.date.accessioned	2022-10-26T03:29:10Z
dc.date.available	2022-09-08
dc.date.available	2022-10-26T03:29:10Z
dc.date.issued	2022-10-01
dc.identifier.citation	BMC Pregnancy Childbirth, 2022, 22, (1), pp. 735
dc.identifier.issn	1471-2393
dc.identifier.issn	1471-2393
dc.identifier.uri	http://hdl.handle.net/10453/162707
dc.description.abstract	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 10th 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.
dc.format	Electronic
dc.language	eng
dc.publisher	BMC
dc.relation.ispartof	BMC Pregnancy Childbirth
dc.relation.isbasedon	10.1186/s12884-022-05045-8
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	© The Author(s) 2022. 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/. 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
dc.subject	1110 Nursing, 1114 Paediatrics and Reproductive Medicine, 1117 Public Health and Health Services
dc.subject.classification	Obstetrics & Reproductive Medicine
dc.subject.mesh	Anxiety
dc.subject.mesh	Anxiety Disorders
dc.subject.mesh	Australia
dc.subject.mesh	Depression
dc.subject.mesh	Female
dc.subject.mesh	Fetal Diseases
dc.subject.mesh	Humans
dc.subject.mesh	Marital Status
dc.subject.mesh	Pregnancy
dc.subject.mesh	Prevalence
dc.subject.mesh	Retrospective Studies
dc.subject.mesh	Semantic Web
dc.subject.mesh	Humans
dc.subject.mesh	Fetal Diseases
dc.subject.mesh	Prevalence
dc.subject.mesh	Retrospective Studies
dc.subject.mesh	Depression
dc.subject.mesh	Anxiety
dc.subject.mesh	Marital Status
dc.subject.mesh	Anxiety Disorders
dc.subject.mesh	Pregnancy
dc.subject.mesh	Australia
dc.subject.mesh	Female
dc.subject.mesh	Semantic Web
dc.title	An examination of the association between marital status and prenatal mental disorders using linked health administrative data.
dc.type	Journal Article
utslib.citation.volume	22
utslib.location.activity	England
utslib.for	1110 Nursing
utslib.for	1114 Paediatrics and Reproductive Medicine
utslib.for	1117 Public Health and Health Services
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access	*
dc.date.updated	2022-10-26T03:29:07Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	22
utslib.citation.issue	1

Abstract:

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 10th 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.

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http://hdl.handle.net/10453/162707