ArticleBMJ open2025
Tracking Persistent Symptoms in Scotland (TraPSS): a longitudinal prospective cohort study of COVID-19 recovery after mild acute infection.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- A digital platform with activity tracking for energy management support in long COVID: a randomised controlled trial.Nature communications · 2026Trial
- Pacing and energy management with digital tools for conditions with chronic fatigue: What we know so far in ME/CFS and Long COVID.PLOS digital health · 2026Article
- Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study.JMIR aging · 2026Article
- Association and Agreement of Contact-Based Smartphone Photoplethysmography Compared With Electrocardiography: Protocol for a Systematic Review and Meta-Analysis.JMIR research protocols · 2026Article
- Clinical Manifestations of Subjects with Long COVID and Their Associations with Drug Use: The BioICOPER Study.Biomedicines · 2026Article
- Sex-based differences in mortality among a large cohort of hospitalized patients with RT-PCR-confirmed SARS-CoV-2 infection at five different pandemic waves in Northern Iran.Scientific reports · 2025Article
- Persistence of symptoms in long-COVID: follow-up trajectories of 30 symptoms in 755 patients from a national multicenter study from Italy.Internal and emergency medicine · 2025Article
- A method for determination of hematocrit using the mobile app "HaemoCalc": Validity, reliability, and effect of user expertise.Physiological reports · 2025Article
- Pre-COVID health-related quality of life predicts symptoms and outcomes for patients with long COVID.Frontiers in public health · 2025Article
- Deep learning analysis of long COVID and vaccine impact in low- and middle-income countries (LMICs): development of a risk calculator in a multicentric study.Frontiers in public health · 2025Observational
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Authors and funding
11 authors.
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Abstract
backgroundCOVID-19 disease results in disparate responses between individuals and has led to the emergence of long coronavirus disease (Long-COVID), characterised by persistent and cyclical symptomology. To understand the complexity of Long-COVID, the importance of symptom surveillance and prospective longitudinal studies is evident.
methodsA 9-month longitudinal prospective cohort study was conducted within Scotland (n=287), using a mobile app to determine the proportion of recovered individuals and those with persistent symptoms and common symptoms, and associations with gender and age.
results3.1% of participants experienced symptoms at month 9, meeting the criteria for Long-COVID, as defined by the National Institute for Health and Care Excellence terminology. The random effects model revealed a significant time (month) effect for infection recovery (p<0.001, estimate=0.07). Fatigue, cough and muscle pain were the most common symptoms at baseline, with fatigue persisting the longest, while symptoms like cough improved rapidly. Older age increased the likelihood of reporting pain (p=0.028, estimate=0.07) and cognitive impairment (p<0.001, estimate=0.93). Female gender increased the likelihood of headaches (p=0.024, estimate=0.53) and post-exertional malaise (PEM) frequency (p=0.05, estimate=137.68), and increased time x gender effect for PEM frequency (p=0.033, estimate=18.96).
conclusionsThe majority of people fully recover from acute COVID-19, although often slowly. Age and gender play a role in symptom burden and recovery rates, emphasising the need for tailored approaches to Long-COVID management. Further analysis is required to determine the characteristics of the individuals still reporting ongoing symptoms months after initial infection to identify risk factors and potential predictors for the development of Long-COVID.
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