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ABSTRACT: Background
As the COVID-19 pandemic transitions to an endemic phase, long COVID symptoms following SARS-CoV-2 infection have emerged as a new global health challenge. However, its impact on university students remains underexplored. This study aimed to assess the prevalence of long COVID symptoms and identify its predictive factors.Methods
A cross-sectional study was conducted from February to August 2023 among Thai university students in Chiang Mai. An online questionnaire collected data on demographics, COVID-19 history, vaccination, and health status. Multivariable binary logistic regression was used to identify factors associated with long COVID.Results
A total of 997 students participated (60.5% female, mean age 20.6 years). Of these, 60.9% had received at leas
SUBMITTER: Assavanopakun P
PROVIDER: S-EPMC12641946 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature