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Prevalence and Determinants of Long-Term Post-COVID Conditions in the United States: 2022 Behavioral Risk Factor Surveillance System - 27/03/24

Doi : 10.1016/j.amjmed.2024.02.010 
Seyyed Sina Hejazian, MD a, Alireza Vafaei Sadr, PhD b, Shima Shahjouei, MD, MPH c, Ajith Vemuri, PhD a, Vida Abedi, PhD b, Ramin Zand, MD, MPH a,
a Department of Neurology, College of Medicine, The Pennsylvania State University, Hershey, Pa 
b Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, Pa 
c Department of Neurology, Penn State Health Milton S. Hershey Medical Center, Hershey, Pa 

Requests for reprints should be addressed to Ramin Zand, MD, MPH, Department of Neurology, Pennsylvania State University, 30 Hope Drive / PO Box 859 / Mail Code: EC037, Hershey, PA 17033-0859.Department of Neurology, Pennsylvania State University30 Hope Drive / PO Box 859 / Mail Code: EC037HersheyPA17033-0859

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Sous presse. Épreuves corrigées par l'auteur. Disponible en ligne depuis le Wednesday 27 March 2024

Abstract

Background

A significant proportion of COVID survivors experience lingering and debilitating symptoms following acute COVID-19 infection. According to the national research plan on long COVID, it is a national priority to identify the prevalence of post-COVID conditions and their associated factors.

Method

We performed a cross-sectional analysis of the Prevention Behavioral Risk Factor Surveillance System (BRFSS) 2022, the largest continuously gathered health survey dataset worldwide by the Centers for Disease Control. After identifying individuals with a positive history of COVID-19, we grouped COVID-19 survivors based on whether they experienced long-term post-COVID conditions. Using survey-specific R packages, we compared the two groups' socio-demographics, comorbidities, and lifestyle-related factors. A logistic regression model was used to identify factors associated with post-COVID conditions.

Results

The overall estimated prevalence of long-term post-COVID conditions among COVID survivors was 21.7%. Fatigue (5.7%), dyspnea (4.2%), and anosmia/ageusia (3.8%) were the most frequent symptoms. Based on multivariate logistic regression analysis, female sex, body mass index (BMI)≥25, lack of insurance, history of pulmonary disease, depression, and arthritis, being a former smoker, and sleep duration <7 h/d were associated with higher odds of post-COVID conditions. On the other hand, age >64 y/o, Black race, and annual household income ≥$100k were associated with lower odds of post-COVID conditions.

Conclusion

Our findings indicate a notable prevalence of post-COVID conditions, particularly among middle-aged women and individuals with comorbidities or adverse lifestyles. This high-risk demographic may require long-term follow-up and support. Further investigations are essential to facilitate the development of specified healthcare and therapeutic strategies for those suffering from post-COVID conditions.

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Keywords : COVID-19, Long COVID, Post-acute Sequelae of SARS-CoV-2 infection, Post-COVID conditions


Plan


 Funding: None.
 Conflict of interest: None.
 Authorship: All authors verify that they had a role in writing the manuscript. Seyyed Sina Hejazian: Writing – review & editing, Visualization, Conceptualization, Formal analysis, Methodology. Alireza Vafaei Sadr: Data curation, Writing – review & editing, Formal analysis. Shima Shahjouei: Formal analysis, Writing – review & editing, Investigation, Validation. Ajith Vemuri: Data curation, Writing – review & editing. Vida Abedi: Data curation, Writing – review & editing, Validation. Ramin Zand: Writing – review & editing, Conceptualization, Supervision, Project administration.


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