Cargando…
Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study
BACKGROUND: The coronavirus disease 2019 (COVID-19) has rapidly turned into a public health emergency worldwide; however, the risk factors for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been well-described. We aimed to identify the clinical risk factors for...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940880/ https://www.ncbi.nlm.nih.gov/pubmed/33708838 http://dx.doi.org/10.21037/atm-20-5958 |
_version_ | 1783662037197389824 |
---|---|
author | Park, Seon Cheol Won, Sun Young Kim, Na Hye Choi, Heun Youk, Tae Mi Lee, Hyun Jung Jeon, Han Ho |
author_facet | Park, Seon Cheol Won, Sun Young Kim, Na Hye Choi, Heun Youk, Tae Mi Lee, Hyun Jung Jeon, Han Ho |
author_sort | Park, Seon Cheol |
collection | PubMed |
description | BACKGROUND: The coronavirus disease 2019 (COVID-19) has rapidly turned into a public health emergency worldwide; however, the risk factors for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been well-described. We aimed to identify the clinical risk factors for SARS-CoV-2 infections in Korea, where social distancing and face masks have been strongly recommended. METHODS: The data of individuals who underwent the reverse transcription polymerase chain reaction test for SARS-CoV-2 between January 3 and May 31, 2020 were retrieved from the Health Insurance Review and Assessment Service dataset. We used multivariable logistic regression models to identify the risk factors for SARS-CoV-2 infections in the population. RESULTS: We retrieved the results of 219,729 SARS-CoV-2 tests, of which 7,333 were positive results. In the multivariable analysis, female sex was associated with a higher risk of testing positive for SARS-CoV-2 [odds ratio (OR) =1.30, 95% confidence interval (CI): 1.24–1.37, P<0.0001]. Additionally, populations living in areas that had large outbreaks of COVID-19 were at an increased risk of testing positive for SARS-CoV-2 (OR =6.87, 95% CI: 6.55–7.21, P<0.0001). The odds of a positive test were greater for the Medical Aid beneficiaries (OR =1.99, 95% CI: 1.82–2.18, P<0.0001) than for the National Health Insurance beneficiaries. Individuals with diabetes mellitus (DM) were more likely to test positive (OR =1.15, 95% CI: 1.07–1.24, P=0.0002). CONCLUSIONS: Women, individuals living in areas with large outbreaks of COVID-19, Medical Aid beneficiaries, and individuals with DM might have greater risks of contracting SARS-CoV-2 infections despite practicing social distancing and using face masks. |
format | Online Article Text |
id | pubmed-7940880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-79408802021-03-10 Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study Park, Seon Cheol Won, Sun Young Kim, Na Hye Choi, Heun Youk, Tae Mi Lee, Hyun Jung Jeon, Han Ho Ann Transl Med Original Article BACKGROUND: The coronavirus disease 2019 (COVID-19) has rapidly turned into a public health emergency worldwide; however, the risk factors for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been well-described. We aimed to identify the clinical risk factors for SARS-CoV-2 infections in Korea, where social distancing and face masks have been strongly recommended. METHODS: The data of individuals who underwent the reverse transcription polymerase chain reaction test for SARS-CoV-2 between January 3 and May 31, 2020 were retrieved from the Health Insurance Review and Assessment Service dataset. We used multivariable logistic regression models to identify the risk factors for SARS-CoV-2 infections in the population. RESULTS: We retrieved the results of 219,729 SARS-CoV-2 tests, of which 7,333 were positive results. In the multivariable analysis, female sex was associated with a higher risk of testing positive for SARS-CoV-2 [odds ratio (OR) =1.30, 95% confidence interval (CI): 1.24–1.37, P<0.0001]. Additionally, populations living in areas that had large outbreaks of COVID-19 were at an increased risk of testing positive for SARS-CoV-2 (OR =6.87, 95% CI: 6.55–7.21, P<0.0001). The odds of a positive test were greater for the Medical Aid beneficiaries (OR =1.99, 95% CI: 1.82–2.18, P<0.0001) than for the National Health Insurance beneficiaries. Individuals with diabetes mellitus (DM) were more likely to test positive (OR =1.15, 95% CI: 1.07–1.24, P=0.0002). CONCLUSIONS: Women, individuals living in areas with large outbreaks of COVID-19, Medical Aid beneficiaries, and individuals with DM might have greater risks of contracting SARS-CoV-2 infections despite practicing social distancing and using face masks. AME Publishing Company 2021-02 /pmc/articles/PMC7940880/ /pubmed/33708838 http://dx.doi.org/10.21037/atm-20-5958 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Park, Seon Cheol Won, Sun Young Kim, Na Hye Choi, Heun Youk, Tae Mi Lee, Hyun Jung Jeon, Han Ho Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study |
title | Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study |
title_full | Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study |
title_fullStr | Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study |
title_full_unstemmed | Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study |
title_short | Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study |
title_sort | risk factors for severe acute respiratory syndrome coronavirus 2 (sars-cov-2) infections: a nationwide population-based study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940880/ https://www.ncbi.nlm.nih.gov/pubmed/33708838 http://dx.doi.org/10.21037/atm-20-5958 |
work_keys_str_mv | AT parkseoncheol riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy AT wonsunyoung riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy AT kimnahye riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy AT choiheun riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy AT youktaemi riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy AT leehyunjung riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy AT jeonhanho riskfactorsforsevereacuterespiratorysyndromecoronavirus2sarscov2infectionsanationwidepopulationbasedstudy |