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Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden
BACKGROUND: Premenstrual disorders, including premenstrual syndrome and premenstrual dysphoric disorder, are suggested to be correlated with suicidal behavior and accidents in cross-sectional and retrospective studies. However, prospective data are still lacking. METHODS: We performed a population-b...
Autores principales: | , , , , , , , , |
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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/PMC8152351/ https://www.ncbi.nlm.nih.gov/pubmed/34034729 http://dx.doi.org/10.1186/s12916-021-01989-4 |
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author | Yang, Qian Sjölander, Arvid Li, Yuchen Viktorin, Alexander Bertone-Johnson, Elizabeth R. Ye, Weimin Fang, Fang Valdimarsdóttir, Unnur A. Lu, Donghao |
author_facet | Yang, Qian Sjölander, Arvid Li, Yuchen Viktorin, Alexander Bertone-Johnson, Elizabeth R. Ye, Weimin Fang, Fang Valdimarsdóttir, Unnur A. Lu, Donghao |
author_sort | Yang, Qian |
collection | PubMed |
description | BACKGROUND: Premenstrual disorders, including premenstrual syndrome and premenstrual dysphoric disorder, are suggested to be correlated with suicidal behavior and accidents in cross-sectional and retrospective studies. However, prospective data are still lacking. METHODS: We performed a population-based cohort study including 1,472,379 Swedish women of reproductive age who were followed from 2001 to 2012. Within the cohort, we also performed a sibling analysis where we compared the rates of injury between full sisters. By linking to the Patient and the Prescribed Drug Registers, we identified 18,628 women with any clinical indications for premenstrual disorders in the cohort (population analysis) and 7674 women in the sibling analysis. Any injury, primarily suicidal behavior (completed suicide and suicide attempt) or accidents (e.g., fall and transportation accidents), was identified through the Patient and Causes of Death Registers as the primary outcome. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of these outcomes among women with premenstrual disorders in both population and sibling analyses using multivariable Cox proportional hazards regression. RESULTS: During a maximal follow-up of 12 years (mean 9.55 years), we identified 2390 women with premenstrual disorders with any injury; 216 through suicidal behavior and 2191 through accidents. Compared to women without premenstrual disorders, women with premenstrual disorders were at increased risk of any injury (HR 1.37, 95% CI 1.31–1.42), particularly suicidal behavior (HR 2.26, 95% CI 1.97–2.59) and accidents (HR 1.32, 95% CI 1.27–1.38). Such associations somewhat attenuated yet remained significant in the sibling analysis (HRs: 1.31 for any injury, 1.86 for suicidal behavior, and 1.29 for accidents). Additional adjustment for psychiatric comorbidities minimally altered the associations with any injury and accidents in both population and sibling analyses, whereas the association with suicidal behavior was considerably attenuated to non-significance in the sibling analysis. Such risks were particularly strong within 2 years after receiving the diagnosis of premenstrual disorders and were evident among women with premenstrual disorders with and without psychiatric comorbidities. CONCLUSIONS: Our findings suggest that women with a clinical indication of premenstrual disorders are at increased subsequent risk of injury, particularly accidents within the first 2 years after diagnosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-01989-4. |
format | Online Article Text |
id | pubmed-8152351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81523512021-05-26 Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden Yang, Qian Sjölander, Arvid Li, Yuchen Viktorin, Alexander Bertone-Johnson, Elizabeth R. Ye, Weimin Fang, Fang Valdimarsdóttir, Unnur A. Lu, Donghao BMC Med Research Article BACKGROUND: Premenstrual disorders, including premenstrual syndrome and premenstrual dysphoric disorder, are suggested to be correlated with suicidal behavior and accidents in cross-sectional and retrospective studies. However, prospective data are still lacking. METHODS: We performed a population-based cohort study including 1,472,379 Swedish women of reproductive age who were followed from 2001 to 2012. Within the cohort, we also performed a sibling analysis where we compared the rates of injury between full sisters. By linking to the Patient and the Prescribed Drug Registers, we identified 18,628 women with any clinical indications for premenstrual disorders in the cohort (population analysis) and 7674 women in the sibling analysis. Any injury, primarily suicidal behavior (completed suicide and suicide attempt) or accidents (e.g., fall and transportation accidents), was identified through the Patient and Causes of Death Registers as the primary outcome. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of these outcomes among women with premenstrual disorders in both population and sibling analyses using multivariable Cox proportional hazards regression. RESULTS: During a maximal follow-up of 12 years (mean 9.55 years), we identified 2390 women with premenstrual disorders with any injury; 216 through suicidal behavior and 2191 through accidents. Compared to women without premenstrual disorders, women with premenstrual disorders were at increased risk of any injury (HR 1.37, 95% CI 1.31–1.42), particularly suicidal behavior (HR 2.26, 95% CI 1.97–2.59) and accidents (HR 1.32, 95% CI 1.27–1.38). Such associations somewhat attenuated yet remained significant in the sibling analysis (HRs: 1.31 for any injury, 1.86 for suicidal behavior, and 1.29 for accidents). Additional adjustment for psychiatric comorbidities minimally altered the associations with any injury and accidents in both population and sibling analyses, whereas the association with suicidal behavior was considerably attenuated to non-significance in the sibling analysis. Such risks were particularly strong within 2 years after receiving the diagnosis of premenstrual disorders and were evident among women with premenstrual disorders with and without psychiatric comorbidities. CONCLUSIONS: Our findings suggest that women with a clinical indication of premenstrual disorders are at increased subsequent risk of injury, particularly accidents within the first 2 years after diagnosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-01989-4. BioMed Central 2021-05-26 /pmc/articles/PMC8152351/ /pubmed/34034729 http://dx.doi.org/10.1186/s12916-021-01989-4 Text en © The Author(s) 2021 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 Article Yang, Qian Sjölander, Arvid Li, Yuchen Viktorin, Alexander Bertone-Johnson, Elizabeth R. Ye, Weimin Fang, Fang Valdimarsdóttir, Unnur A. Lu, Donghao Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden |
title | Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden |
title_full | Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden |
title_fullStr | Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden |
title_full_unstemmed | Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden |
title_short | Clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in Sweden |
title_sort | clinical indications of premenstrual disorders and subsequent risk of injury: a population-based cohort study in sweden |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152351/ https://www.ncbi.nlm.nih.gov/pubmed/34034729 http://dx.doi.org/10.1186/s12916-021-01989-4 |
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