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Quality of life among patients with cardiac disease: the impact of comorbid depression
BACKGROUND: Patients with cardiac disease with or without depression may also have major physical and mental problems. This study assesses and compares the quality of life (QOL) of patients with cardiac disease with and without depression and accompanying comorbidities. METHODS: A cross-sectional st...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302374/ https://www.ncbi.nlm.nih.gov/pubmed/32552773 http://dx.doi.org/10.1186/s12955-020-01433-w |
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author | Bahall, Mandreker Legall, George Khan, Katija |
author_facet | Bahall, Mandreker Legall, George Khan, Katija |
author_sort | Bahall, Mandreker |
collection | PubMed |
description | BACKGROUND: Patients with cardiac disease with or without depression may also have major physical and mental problems. This study assesses and compares the quality of life (QOL) of patients with cardiac disease with and without depression and accompanying comorbidities. METHODS: A cross-sectional study was conducted with a convenience sample of 388 patients with cardiac disease. The 12-item Short-Form (SF-12)-patient was used to measure physical component scale (PCS) and mental component scale (MCS) QOL, and the Patient Health Questionnaire (PHQ-9) was used to measure depression. The Charlson Comorbidity Index was used to estimate 10-year survival probability. Descriptive statistics, analysis of covariance (ANCOVA), chi-square tests, and binary logistic regression were used for analysis. RESULTS: The prevalence of minimal to mild depression was 65.7% [(95% CI (60.8, 70.4)] and that of moderate to severe depression was 34.3% [95% CI (29.6, 39.2)]. There was no significant association between the level of PHQ-categorised depression and age (p = 0.171), sex (p = 0.079), or ethnicity (p = 0.407). The overall mean PCS and MCS QOL was 32.5 [95% CI (24.4, 40.64)] and 45.4 [95% CI (44.4, 46.4)], respectively, with no significant correlation between PCS and MCS [r (Pearson’s) = 0.011; p = 0.830)]. There were QOL differences among the five PHQ categories (PCS: p = 0.028; MCS: p ≤ 0.001) with both MCS and PCS decreasing with increasing depression. ANCOVA (with number of comorbidities as the covariate) showed a significant age × ethnicity interaction for PCS (p = 0.044) and MCS (p = 0.039), respectively. Young Indo-Trinidadians had significantly lower PCS than did Afro-Trinidadians, while the converse was true for MCS. Depression, age, and number of comorbidities were predictors of PCS, while depression, age, and sex were predictors of MCS. CONCLUSIONS: Increasing severity of depression worsened both PCS and MCS QOL. Age and level of clinical depression predicted QOL, with number of comorbidities predicting only PCS and sex predicting only MCS. Efforts must be made to treat depression in all age groups of patients with cardiac disease. |
format | Online Article Text |
id | pubmed-7302374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73023742020-06-19 Quality of life among patients with cardiac disease: the impact of comorbid depression Bahall, Mandreker Legall, George Khan, Katija Health Qual Life Outcomes Research BACKGROUND: Patients with cardiac disease with or without depression may also have major physical and mental problems. This study assesses and compares the quality of life (QOL) of patients with cardiac disease with and without depression and accompanying comorbidities. METHODS: A cross-sectional study was conducted with a convenience sample of 388 patients with cardiac disease. The 12-item Short-Form (SF-12)-patient was used to measure physical component scale (PCS) and mental component scale (MCS) QOL, and the Patient Health Questionnaire (PHQ-9) was used to measure depression. The Charlson Comorbidity Index was used to estimate 10-year survival probability. Descriptive statistics, analysis of covariance (ANCOVA), chi-square tests, and binary logistic regression were used for analysis. RESULTS: The prevalence of minimal to mild depression was 65.7% [(95% CI (60.8, 70.4)] and that of moderate to severe depression was 34.3% [95% CI (29.6, 39.2)]. There was no significant association between the level of PHQ-categorised depression and age (p = 0.171), sex (p = 0.079), or ethnicity (p = 0.407). The overall mean PCS and MCS QOL was 32.5 [95% CI (24.4, 40.64)] and 45.4 [95% CI (44.4, 46.4)], respectively, with no significant correlation between PCS and MCS [r (Pearson’s) = 0.011; p = 0.830)]. There were QOL differences among the five PHQ categories (PCS: p = 0.028; MCS: p ≤ 0.001) with both MCS and PCS decreasing with increasing depression. ANCOVA (with number of comorbidities as the covariate) showed a significant age × ethnicity interaction for PCS (p = 0.044) and MCS (p = 0.039), respectively. Young Indo-Trinidadians had significantly lower PCS than did Afro-Trinidadians, while the converse was true for MCS. Depression, age, and number of comorbidities were predictors of PCS, while depression, age, and sex were predictors of MCS. CONCLUSIONS: Increasing severity of depression worsened both PCS and MCS QOL. Age and level of clinical depression predicted QOL, with number of comorbidities predicting only PCS and sex predicting only MCS. Efforts must be made to treat depression in all age groups of patients with cardiac disease. BioMed Central 2020-06-17 /pmc/articles/PMC7302374/ /pubmed/32552773 http://dx.doi.org/10.1186/s12955-020-01433-w Text en © The Author(s) 2020 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/. 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. |
spellingShingle | Research Bahall, Mandreker Legall, George Khan, Katija Quality of life among patients with cardiac disease: the impact of comorbid depression |
title | Quality of life among patients with cardiac disease: the impact of comorbid depression |
title_full | Quality of life among patients with cardiac disease: the impact of comorbid depression |
title_fullStr | Quality of life among patients with cardiac disease: the impact of comorbid depression |
title_full_unstemmed | Quality of life among patients with cardiac disease: the impact of comorbid depression |
title_short | Quality of life among patients with cardiac disease: the impact of comorbid depression |
title_sort | quality of life among patients with cardiac disease: the impact of comorbid depression |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302374/ https://www.ncbi.nlm.nih.gov/pubmed/32552773 http://dx.doi.org/10.1186/s12955-020-01433-w |
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