{"title":"Long COVID among infected students and staff in Chiang Mai university, Chiang Mai, Thailand","authors":"Ekachai Jaiprom , Parichat Ong-artborirak , Atchara Sriplakich , Sineenart Chautrakarn","doi":"10.1016/j.cegh.2024.101828","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Although COVID-19 became endemic status in September 2022, studies and monitoring of individuals infected with COVID-19 have revealed that some develop Long COVID. This study aims to describe the prevalence of Long COVID and related factors among COVID-19-infected university students and staff in Thailand.</div></div><div><h3>Methods</h3><div>This study used a retrospective cohort design to investigate Long COVID and its associated factors among university students and staff members who had previously tested positive for COVID-19 and reported their results to the University COVID-19 Reporting system between February 21 and June 30, 2022.</div></div><div><h3>Results</h3><div>The results indicated that the prevalence of Long COVID was 51.9 %. Among them 92.7 % had multiple symptoms. The most common symptoms were fatigue (65.8 %), easy tiredness (59.2 %), and easy tiredness after physical activity (44.7 %). Multiple logistic regression showed that factors associated with Long COVID were female compared to male (aOR = 2.228, 95 % CI = 1.743–2.849), and aged 20–29 years compared to being under 20 years old (aOR = 1.288, 95 % CI = 1.005–1.650). People with comorbidities compared to those without (aOR = 1.503, 95%CI = 1.099–2.056). People with the highest severity compared to those with mild severity (aOR = 2.041, 95%CI = 1.380–3.018), as well as those infected with Covid-19 twice or more compared to those infected once (aOR = 2.014, 95%CI = 1.346–3.012).</div></div><div><h3>Conclusion</h3><div>Long COVID symptoms should be closely monitored, particularly in individuals with underlying health conditions and those who experienced severe symptoms during their COVID-19 infection.</div></div>","PeriodicalId":46404,"journal":{"name":"Clinical Epidemiology and Global Health","volume":"30 ","pages":"Article 101828"},"PeriodicalIF":2.3000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology and Global Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213398424003257","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Although COVID-19 became endemic status in September 2022, studies and monitoring of individuals infected with COVID-19 have revealed that some develop Long COVID. This study aims to describe the prevalence of Long COVID and related factors among COVID-19-infected university students and staff in Thailand.
Methods
This study used a retrospective cohort design to investigate Long COVID and its associated factors among university students and staff members who had previously tested positive for COVID-19 and reported their results to the University COVID-19 Reporting system between February 21 and June 30, 2022.
Results
The results indicated that the prevalence of Long COVID was 51.9 %. Among them 92.7 % had multiple symptoms. The most common symptoms were fatigue (65.8 %), easy tiredness (59.2 %), and easy tiredness after physical activity (44.7 %). Multiple logistic regression showed that factors associated with Long COVID were female compared to male (aOR = 2.228, 95 % CI = 1.743–2.849), and aged 20–29 years compared to being under 20 years old (aOR = 1.288, 95 % CI = 1.005–1.650). People with comorbidities compared to those without (aOR = 1.503, 95%CI = 1.099–2.056). People with the highest severity compared to those with mild severity (aOR = 2.041, 95%CI = 1.380–3.018), as well as those infected with Covid-19 twice or more compared to those infected once (aOR = 2.014, 95%CI = 1.346–3.012).
Conclusion
Long COVID symptoms should be closely monitored, particularly in individuals with underlying health conditions and those who experienced severe symptoms during their COVID-19 infection.
期刊介绍:
Clinical Epidemiology and Global Health (CEGH) is a multidisciplinary journal and it is published four times (March, June, September, December) a year. The mandate of CEGH is to promote articles on clinical epidemiology with focus on developing countries in the context of global health. We also accept articles from other countries. It publishes original research work across all disciplines of medicine and allied sciences, related to clinical epidemiology and global health. The journal publishes Original articles, Review articles, Evidence Summaries, Letters to the Editor. All articles published in CEGH are peer-reviewed and published online for immediate access and citation.