Post-Covid-19 syndrome risk factors and further use of health services in East England
Bibliographic Data
| ID | 19594074 |
|---|---|
| Authors | Maciej Dębski (0000-0002-0679-0109, University of East Anglia), Vasiliki Tsampasian (0000-0003-1534-7587, University of East Anglia), Shawn Haney, Katy Blakely (Norfolk and Norwich University Hospitals NHS Foundation Trust), Samantha Weston (0000-0001-8179-3273), Eleana Ntatsaki (0000-0003-1571-8923, East Suffolk and North Essex NHS Foundation Trust), Mark Lim (0000-0002-1555-137X), Susan Madden (0000-0002-2345-1854, University of East Anglia), Aris Perperoglou (0000-0003-1355-2800, Newcastle University), Vassilios S Vassiliou (0000-0002-4005-7752, University of East Anglia, corresponding author) |
| Editors | Janelisa Musaya (0000-0003-2928-0133) |
| Year | 2022 |
| Volume | 2 |
| Issue | 11 |
| Pages | e0001188 |
| Publication date | 2022-11-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0001188 |
| PMID | 36962824 |
| OpenAlex | W4310438815 |
| Language | EN |
| Citations received | 2 |
| References cited | 6 |
Post-COVID syndrome, defined as symptoms persisting for more than twelve weeks after the diagnosis of COVID-19, has been recognised as a new clinical entity in the context of SARS-CoV-2 infection. This study was conducted to characterise the burden and predictors for post-COVID-19 syndrome in the local population. It was a community-based web-survey study conducted in Norfolk, East England, UK. We sent the survey to patients with confirmed COVID-19 infection by real-time polymerase chain reaction by December 6th, 2020. Questions related to the pre-COVID and post-COVID level of symptoms and further healthcare use. Baseline characteristics were collected from the primary care records. Logistic regression analysis was conducted to establish predictors for post-COVID-19 syndrome and further healthcare utilisation. Of 6,318 patients, survey responses were obtained from 1,487 participants (23.5%). Post-COVID-19 syndrome symptoms were experienced by 774 (52.1%) respondents. Male sex compared to female sex was a factor protective of post-COVID symptoms; relative risk (RR) 0.748, 95% confidence interval (CI), 0.605–0.924. Body mass index was associated with a greater risk of developing post-COVID-19 symptoms (RR 1.031, 95% CI, 1.016–1.047, for 1 kg/m2). A total of 378 (25.4%) people used further health services after their index COVID-19 infection, of whom 277 (73.2%) had post-COVID symptoms. Male sex was negatively associated with the use of further health services (RR 0.618, 95% CI, 0.464–0.818) whereas BMI was positively associated (RR 1.027, 95% CI, 1.009–1.046). Overall, post-COVID-19 symptoms increased the probability of using health services with RR 3.280, 95% CI, 2.540–4.262. This survey of a large number of people previously diagnosed with COVID-19 across East England shows a high prevalence of self-reported post-COVID-19 syndrome. Female sex and BMI were associated with an increased risk of post-COVID-19 syndrome and further utilisation of healthcare
Body mass index · Confidence interval · Disease · Environmental health · Family medicine · Geography · Health care · Logistic regression · Population · Relative risk · Risk factor · COVID-19 and Mental Health · COVID-19 Clinical Research Studies · Demography · Long-Term Effects of COVID-19 · Medicine · Internal Medicine
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |