Long COVID among infected students and staff in Chiang Mai university, Chiang Mai, Thailand

IF 2.3 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology and Global Health Pub Date : 2024-11-01 DOI:10.1016/j.cegh.2024.101828
Ekachai Jaiprom , Parichat Ong-artborirak , Atchara Sriplakich , Sineenart Chautrakarn
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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.
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泰国清迈大学学生和教职员工中长期感染 COVID 的情况
背景虽然COVID-19已于2022年9月成为地方病,但对COVID-19感染者的研究和监测显示,部分感染者会出现长COVID。本研究旨在描述泰国感染COVID-19的大学生和教职员工中长COVID的患病率及相关因素。结果结果显示,长COVID的患病率为51.9%。其中 92.7% 的人有多种症状。最常见的症状是疲劳(65.8%)、易疲劳(59.2%)和体力活动后易疲劳(44.7%)。多元逻辑回归显示,与长 COVID 相关的因素有:女性多于男性(aOR = 2.228,95 % CI = 1.743-2.849);20-29 岁多于 20 岁以下(aOR = 1.288,95 % CI = 1.005-1.650)。有合并症者与无合并症者相比(aOR = 1.503,95%CI = 1.099-2.056)。与轻度感染者相比,严重程度最高者(aOR = 2.041,95%CI = 1.380-3.018),感染Covid-19两次或两次以上者与感染一次者相比(aOR = 2.014,95%CI = 1.346-3.012)。
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来源期刊
Clinical Epidemiology and Global Health
Clinical Epidemiology and Global Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.60
自引率
7.70%
发文量
218
审稿时长
66 days
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.
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