ArticleJournal of epidemiology and global health2024
Long COVID-19 and Coexistence of Fatigue and Depression: A Cross-sectional Study from Saudi Arabia.
Article in Journal of epidemiology and global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Determinants and Consequences of Long Impact of COVID-19: A National Cross-Sectional Study in Saudi Arabia.Journal of clinical medicine · 2026Article
- Cultivating a Culture of Research in Saudi Board Family Medicine Program.Family medicine · 2026Article
- How do fatigue, cognitive dysfunction, activity and role functioning, and mental health inter-relate in adults with post-COVID-19 syndrome? A structural equation model analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesCoronavirus disease 2019 (COVID-19) is associated with various manifestations even after infection resolution. This study aimed to assess the prevalence of post-COVID-19 fatigue and its predictors.
methodsWe conducted a nationwide cross-sectional study among Polymerase Chain Reaction test confirmed COVID-19 cases in Saudi Arabia from July 2021 to February 2022. We collected data through telephonic interviews covering socio-demographics, comorbidities, body mass index, smoking, illness severity, and COVID-19 vaccination status. We assessed fatigue using Fatigue Severity Scale while depression was assessed using Patient Health Questionnaire-2. Logistic regression was employed to analyze the relationship between post-COVID-19 fatigue and depression.
resultsThe analysis included 361 participants with a mean age of 37 ± 10.5 years, among whom 43% were female. Approximately 10% had comorbidities, and 21% were current smokers. Nearly two-thirds (68%) of the participants reported mild illness. The prevalence of perceived fatigue was 22.7%, while fatigue measured by the Fatigue Severity Scale was 14.4%. The multivariable logistic regression model revealed that COVID-19 severity and depression were significant predictors of post-COVID-19 fatigue; adjusted odds ratio 1.87 (95% CI: 1.10 to 3.18) and 14.3 (95% CI: 4.55 to 45.0), respectively.
conclusionOur findings suggest a higher prevalence of perceived fatigue compared to that measured by the Fatigue Severity Scale, underscoring the importance of using a valid assessment tool for fatigue among COVID-19 patients to ensure proper management. The significant association between post-COVID-19 fatigue and depression highlights the need for psychological assessment of COVID-19 patients to enhance their post-infection quality of life.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.