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Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese
BACKGROUND: This study aimed to assess the association between baseline symptoms and changes in depressive symptoms and stroke incidents. METHODS: We used data from the Chinese Health and Retirement Longitudinal Study conducted in 2013, 2015, and 2018. In total, 10,100 individuals aged ≥45 years and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555147/ https://www.ncbi.nlm.nih.gov/pubmed/34706692 http://dx.doi.org/10.1186/s12888-021-03492-9 |
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author | Cui, Yimin Zhu, Chunsu Lian, Zhiwei Han, Xueyan Xiang, Qian Liu, Zhenming Zhou, Ying |
author_facet | Cui, Yimin Zhu, Chunsu Lian, Zhiwei Han, Xueyan Xiang, Qian Liu, Zhenming Zhou, Ying |
author_sort | Cui, Yimin |
collection | PubMed |
description | BACKGROUND: This study aimed to assess the association between baseline symptoms and changes in depressive symptoms and stroke incidents. METHODS: We used data from the Chinese Health and Retirement Longitudinal Study conducted in 2013, 2015, and 2018. In total, 10,100 individuals aged ≥45 years and without a history of stroke in 2013 were included. Depressive symptoms were measured using the 10-item version of the Center for Epidemiological Studied Depression scale (elevated depressive symptoms cutoff ≥10). Changes of depressive symptoms were assessed by two successive surveys (stable low/no, recent onset, recently remitted, and stable high depressive symptoms). We assessed whether baseline depressive symptoms and changes of them were associated with stroke incidents reported through 2018. Logistic regression analyses adjusted for age, gender, education, marital status and other potential confounders were performed. RESULTS: For the analysis of baseline depressive symptoms and stroke (n = 10,100), 545 (5.4%) reported stroke incidents in the following 5-year period. Individuals with elevated depressive symptoms in 2013 experienced a markedly higher stroke risk (odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.28–1.84) compared with those without elevated depressive symptoms. In the analysis of changes in depressive symptoms (n = 8491, 430 (5.1%) stroke events), participants with stable high (OR = 2.01, 95% CI = 1.58–2.56) and recent-onset (OR = 1.39, 95% CI = 1.04–1.85) depressive symptoms presented higher stroke risk compared to those with stable low/no depressive symptoms, while recently remitted symptoms (OR = 1.12, 95% CI = 0.80–1.57) were not associated with stroke risk. CONCLUSIONS: In conclusion, stable high and newly started depressive symptoms were associated with increased stroke risk, whereas the improvement of depressive symptoms was not related to increase in stroke risk, suggesting that stroke risk may be decreased by effective management of depressive symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03492-9. |
format | Online Article Text |
id | pubmed-8555147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85551472021-10-29 Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese Cui, Yimin Zhu, Chunsu Lian, Zhiwei Han, Xueyan Xiang, Qian Liu, Zhenming Zhou, Ying BMC Psychiatry Research Article BACKGROUND: This study aimed to assess the association between baseline symptoms and changes in depressive symptoms and stroke incidents. METHODS: We used data from the Chinese Health and Retirement Longitudinal Study conducted in 2013, 2015, and 2018. In total, 10,100 individuals aged ≥45 years and without a history of stroke in 2013 were included. Depressive symptoms were measured using the 10-item version of the Center for Epidemiological Studied Depression scale (elevated depressive symptoms cutoff ≥10). Changes of depressive symptoms were assessed by two successive surveys (stable low/no, recent onset, recently remitted, and stable high depressive symptoms). We assessed whether baseline depressive symptoms and changes of them were associated with stroke incidents reported through 2018. Logistic regression analyses adjusted for age, gender, education, marital status and other potential confounders were performed. RESULTS: For the analysis of baseline depressive symptoms and stroke (n = 10,100), 545 (5.4%) reported stroke incidents in the following 5-year period. Individuals with elevated depressive symptoms in 2013 experienced a markedly higher stroke risk (odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.28–1.84) compared with those without elevated depressive symptoms. In the analysis of changes in depressive symptoms (n = 8491, 430 (5.1%) stroke events), participants with stable high (OR = 2.01, 95% CI = 1.58–2.56) and recent-onset (OR = 1.39, 95% CI = 1.04–1.85) depressive symptoms presented higher stroke risk compared to those with stable low/no depressive symptoms, while recently remitted symptoms (OR = 1.12, 95% CI = 0.80–1.57) were not associated with stroke risk. CONCLUSIONS: In conclusion, stable high and newly started depressive symptoms were associated with increased stroke risk, whereas the improvement of depressive symptoms was not related to increase in stroke risk, suggesting that stroke risk may be decreased by effective management of depressive symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03492-9. BioMed Central 2021-10-27 /pmc/articles/PMC8555147/ /pubmed/34706692 http://dx.doi.org/10.1186/s12888-021-03492-9 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 Cui, Yimin Zhu, Chunsu Lian, Zhiwei Han, Xueyan Xiang, Qian Liu, Zhenming Zhou, Ying Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese |
title | Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese |
title_full | Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese |
title_fullStr | Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese |
title_full_unstemmed | Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese |
title_short | Prospective association between depressive symptoms and stroke risk among middle-aged and older Chinese |
title_sort | prospective association between depressive symptoms and stroke risk among middle-aged and older chinese |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555147/ https://www.ncbi.nlm.nih.gov/pubmed/34706692 http://dx.doi.org/10.1186/s12888-021-03492-9 |
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