Risk and Protective Factors for Long COVID Incidence in the Borriana COVID-19 Cohort from 2020 to 2023: A Prospective Population-Based Cohort Study
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background and Objective: After a SARS-CoV-2 infection, a Long COVID (LC) syndrome occurred in a high proportion of patients with affecting their health. Estimating the incidence, risk and protective factors of LC was the aim of our study. Material and Methods: We performed a prospective population-based cohort study on the Borriana COVID-19 cohort (Castellon province, Valencia Community, Spain) from May 2020 to August 2023 with a follow-up of 40 months, and considering the LC definition from the World Health Organization. We used inverse probability weighted regression. Results: With a response rate of 63.8% of a total of 722 participants, the average age was 37.7±17.4 years with 460 (62.3%) females, 644 had suffered a SARS-CoV-2 infection, and 184 suffered LC with a cumulative incidence of 28.6%. A total of 135 patients with LC remained affected, and a death associated with the syndrome occurred in 0.54% of them. Significant risk factors for LC were older age, female, chronic disease, SARS-CoV-2 exposure, reinfections and severity. Asymptomatic cases and SARS-CoV-2 vaccinations were significantly protective factors. Conclusions: A high incidence of LC was found with low recovery rate, and several risk and protective factors. Continued follow-up for non-recovered LC patients, surveillance of infections, and a SARS-CoV-2 vaccination for an at-risk population can be recommended.
Source: COVID
DOI: 10.3390/covid6040068
Authors: Salvador Domènech-Montoliu, Óscar Pérez-Olaso, Diego Sala-Trull, Paloma Satorres-Martinez, Laura López-Diago, Isabel Aleixandre-Gorriz, Maria Rosario Pac-Sa, Manuel Sánchez-Urbano, Cristina Notari-Rodriguez, Juan Casanova-Suárez, Raquel Ruiz-Puig, Gema Badenes-Marques, Laura Aparisi-Esteve, Carmen Domènech-León, Maria Angeles Romeu-Garcia, Alberto Arnedo-Pena
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,207
OpenAlex ID: W7154608940
