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Prevalence, correlates, and network analysis of depression and its association with quality of life in survivors with myocardial infarction during the COVID-19 pandemic.
Lin, Yun; Bai, Wei; Liu, Hong-Hong; Li, Zhi-Zhong; Gao, Zheng-Zhuo; Han, Tuo; Ren, Hui-Hao; Ng, Chee H; Xiang, Yu-Tao.
  • Lin Y; Department of Cardiology, Beijing An Zhen Hospital, Capital Medical University, Beijing, China.
  • Bai W; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
  • Liu HH; Department of Cardiology, Beijing An Zhen Hospital, Capital Medical University, Beijing, China.
  • Li ZZ; Department of Cardiology, Beijing An Zhen Hospital, Capital Medical University, Beijing, China.
  • Gao ZZ; Department of Medicine, Capital Medical University, Beijing, China.
  • Han T; Department of Medicine, Capital Medical University, Beijing, China.
  • Ren HH; Department of Medicine, Capital Medical University, Beijing, China.
  • Ng CH; Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia. Electronic address: cng@unimelb.edu.au.
  • Xiang YT; Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China. Electronic address: xyutly@gmail
J Affect Disord ; 336: 106-111, 2023 09 01.
Article in English | MEDLINE | ID: covidwho-2327996
ABSTRACT

BACKGROUND:

Depression is common among myocardial infarction (MI) survivors and is strongly associated with poor quality of life (QOL). The aim of this study was to examine the prevalence, correlates and the network structure of depression, and its association with QOL in MI survivors during the COVID-19 pandemic.

METHODS:

This cross-sectional study evaluated depression and QOL in MI survivors with the Chinese version of the nine-item Patient Health Questionnaire (PHQ-9) and the World Health Organization Quality of Life-BREF (WHOQOL-BREF), respectively. Univariable analyses, multivariable analyses, and network analyses were performed.

RESULTS:

The prevalence of depression (PHQ-9 total score ≥ 5) among 565 MI survivors during the COVID-19 pandemic was 38.1 % (95 % CI 34.1-42.1 %), which was significantly associated with poor QOL. Patients with depression were less likely to consult a doctor regularly after discharge, and more likely to experience more severe anxiety symptoms and fatigue. Item PHQ4 "Fatigue" was the most central symptom in the network, followed by PHQ6 "Guilt" and PHQ2 "Sad mood". The flow network showed that PHQ4 "Fatigue" had the highest negative association with QOL.

CONCLUSION:

Depression was prevalent among MI survivors during the COVID-19 pandemic and was significantly associated with poor QOL. Those who failed to consult a doctor regularly after discharge or reported severe anxiety symptoms and fatigue should be screened for depression. Effective interventions for MI survivors targeting central symptoms, especially fatigue, are needed to reduce the negative impact of depression and improve QOL.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Myocardial Infarction Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: J Affect Disord Year: 2023 Document Type: Article Affiliation country: J.jad.2023.05.086

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Myocardial Infarction Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: J Affect Disord Year: 2023 Document Type: Article Affiliation country: J.jad.2023.05.086