The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis

• Published in: BMC psychiatry Vol. 24; no. 1; p. 105
• Main Authors: Seighali, Niloofar, Abdollahi, Abolfazl, Shafiee, Arman, Amini, Mohammad Javad, Teymouri Athar, Mohammad Mobin, Safari, Omid, Faghfouri, Parsa, Eskandari, Alireza, Rostaii, Omid, Salehi, Amir Hossein, Soltani, Hedieh, Hosseini, Mahsa, Abhari, Faeze Soltani, Maghsoudi, Mohammad Reza, Jahanbakhshi, Bahar, Bakhtiyari, Mahmood
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 06.02.2024; BioMed Central; BMC
• Subjects: Analysis; Anxiety; Anxiety - epidemiology; Bias; Care and treatment; Coping; Coping (Psychology); Coping Skills; Coronaviruses; COVID-19; Demographic aspects; Depression; Depression - epidemiology; Depression, Mental; Diagnosis; Humans; Long COVID; Mental depression; Mental disorders; Mental health; Meta-analysis; Pandemics; Post COVID-19 syndrome; Post-Acute COVID-19 Syndrome - psychology; Prevalence; Quality of life; Regression analysis; Severe acute respiratory syndrome coronavirus 2; Sleep disorder; Sleep disorders; Sleep Wake Disorders - epidemiology; Systematic review; Iran; Prevalence; Sleep disorder; Depression; Post COVID-19 syndrome; Systematic review; Anxiety; Long COVID; Meta-analysis
• ISSN: 1471-244X; 1471-244X
• DOI: 10.1186/s12888-023-05481-6

Post COVID-19 syndrome, also known as "Long COVID," is a complex and multifaceted condition that affects individuals who have recovered from SARS-CoV-2 infection. This systematic review and meta-analysis aim to comprehensively assess the global prevalence of depression, anxiety, and sleep disorder in individuals coping with Post COVID-19 syndrome. A rigorous search of electronic databases was conducted to identify original studies until 24 January 2023. The inclusion criteria comprised studies employing previously validated assessment tools for depression, anxiety, and sleep disorders, reporting prevalence rates, and encompassing patients of all age groups and geographical regions for subgroup analysis Random effects model was utilized for the meta-analysis. Meta-regression analysis was done. The pooled prevalence of depression and anxiety among patients coping with Post COVID-19 syndrome was estimated to be 23% (95% CI: 20%-26%; I2 = 99.9%) based on data from 143 studies with 7,782,124 participants and 132 studies with 9,320,687 participants, respectively. The pooled prevalence of sleep disorder among these patients, derived from 27 studies with 15,362 participants, was estimated to be 45% (95% CI: 37%-53%; I2 = 98.7%). Subgroup analyses based on geographical regions and assessment scales revealed significant variations in prevalence rates. Meta-regression analysis showed significant correlations between the prevalence and total sample size of studies, the age of participants, and the percentage of male participants. Publication bias was assessed using Doi plot visualization and the Peters test, revealing a potential source of publication bias for depression (p = 0.0085) and sleep disorder (p = 0.02). However, no evidence of publication bias was found for anxiety (p = 0.11). This systematic review and meta-analysis demonstrate a considerable burden of mental health issues, including depression, anxiety, and sleep disorders, among individuals recovering from COVID-19. The findings emphasize the need for comprehensive mental health support and tailored interventions for patients experiencing persistent symptoms after COVID-19 recovery.