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Major Depression and Acute Coronary Syndrome-Related Factors
BACKGROUND: Major Depressive Disorder (MDD) is one of the most common mental illnesses in psychiatry, being considered a risk factor for Acute Coronary Syndrome (ACS). OBJECTIVE: To assess the prevalence of MDD in ACS patients, as well as to analyze associated factors through the interdependence of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Cardiologia - SBC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389871/ https://www.ncbi.nlm.nih.gov/pubmed/28443957 http://dx.doi.org/10.5935/abc.20170028 |
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author | Figueiredo, Jose Henrique Cunha Silva, Nelson Albuquerque de Souza e Pereira, Basilio de Bragança de Oliveira, Glaucia Maria Moraes |
author_facet | Figueiredo, Jose Henrique Cunha Silva, Nelson Albuquerque de Souza e Pereira, Basilio de Bragança de Oliveira, Glaucia Maria Moraes |
author_sort | Figueiredo, Jose Henrique Cunha |
collection | PubMed |
description | BACKGROUND: Major Depressive Disorder (MDD) is one of the most common mental illnesses in psychiatry, being considered a risk factor for Acute Coronary Syndrome (ACS). OBJECTIVE: To assess the prevalence of MDD in ACS patients, as well as to analyze associated factors through the interdependence of sociodemographic, lifestyle and clinical variables. METHODS: Observational, descriptive, cross-sectional, case-series study conducted on patients hospitalized consecutively at the coronary units of three public hospitals in the city of Rio de Janeiro over a 24-month period. All participants answered a standardized questionnaire requesting sociodemographic, lifestyle and clinical data, as well as a structured diagnostic interview for the DSM-IV regarding ongoing major depressive episodes. A general log-linear model of multivariate analysis was employed to assess association and interdependence with a significance level of 5%. RESULTS: Analysis of 356 patients (229 men), with an average and median age of 60 years (SD ± 11.42, 27-89). We found an MDD point prevalence of 23%, and a significant association between MDD and gender, marital status, sedentary lifestyle, Killip classification, and MDD history. Controlling for gender, we found a statistically significant association between MDD and gender, age ≤ 60 years, sedentary lifestyle and MDD history. The log-linear model identified the variables MDD history, gender, sedentary lifestyle, and age ≤ 60 years as having the greatest association with MDD. CONCLUSION: Distinct approaches are required to diagnose and treat MDD in young women with ACS, history of MDD, sedentary lifestyle, and who are not in stable relationships. |
format | Online Article Text |
id | pubmed-5389871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Sociedade Brasileira de Cardiologia - SBC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53898712017-04-18 Major Depression and Acute Coronary Syndrome-Related Factors Figueiredo, Jose Henrique Cunha Silva, Nelson Albuquerque de Souza e Pereira, Basilio de Bragança de Oliveira, Glaucia Maria Moraes Arq Bras Cardiol Original Articles BACKGROUND: Major Depressive Disorder (MDD) is one of the most common mental illnesses in psychiatry, being considered a risk factor for Acute Coronary Syndrome (ACS). OBJECTIVE: To assess the prevalence of MDD in ACS patients, as well as to analyze associated factors through the interdependence of sociodemographic, lifestyle and clinical variables. METHODS: Observational, descriptive, cross-sectional, case-series study conducted on patients hospitalized consecutively at the coronary units of three public hospitals in the city of Rio de Janeiro over a 24-month period. All participants answered a standardized questionnaire requesting sociodemographic, lifestyle and clinical data, as well as a structured diagnostic interview for the DSM-IV regarding ongoing major depressive episodes. A general log-linear model of multivariate analysis was employed to assess association and interdependence with a significance level of 5%. RESULTS: Analysis of 356 patients (229 men), with an average and median age of 60 years (SD ± 11.42, 27-89). We found an MDD point prevalence of 23%, and a significant association between MDD and gender, marital status, sedentary lifestyle, Killip classification, and MDD history. Controlling for gender, we found a statistically significant association between MDD and gender, age ≤ 60 years, sedentary lifestyle and MDD history. The log-linear model identified the variables MDD history, gender, sedentary lifestyle, and age ≤ 60 years as having the greatest association with MDD. CONCLUSION: Distinct approaches are required to diagnose and treat MDD in young women with ACS, history of MDD, sedentary lifestyle, and who are not in stable relationships. Sociedade Brasileira de Cardiologia - SBC 2017-03 /pmc/articles/PMC5389871/ /pubmed/28443957 http://dx.doi.org/10.5935/abc.20170028 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Figueiredo, Jose Henrique Cunha Silva, Nelson Albuquerque de Souza e Pereira, Basilio de Bragança de Oliveira, Glaucia Maria Moraes Major Depression and Acute Coronary Syndrome-Related Factors |
title | Major Depression and Acute Coronary Syndrome-Related
Factors |
title_full | Major Depression and Acute Coronary Syndrome-Related
Factors |
title_fullStr | Major Depression and Acute Coronary Syndrome-Related
Factors |
title_full_unstemmed | Major Depression and Acute Coronary Syndrome-Related
Factors |
title_short | Major Depression and Acute Coronary Syndrome-Related
Factors |
title_sort | major depression and acute coronary syndrome-related
factors |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389871/ https://www.ncbi.nlm.nih.gov/pubmed/28443957 http://dx.doi.org/10.5935/abc.20170028 |
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