Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US

The study assessed the capacity of revised Reinforcement Sensitivity Theory to predict COVID-19 vulnerability and outcome. A convenience sample of 1033 undergraduate students from Mexico and the US answered the RST-PQ and a COVID-19 symptom checklist. Data showed that FFFS and BIS are direct and sig...

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Autores principales: Pulido, Marco, Arjona, Daniel, Avilés, Paola, López, Valeria, Martínez, Regina, Santoyo, Sofía, Vergara, Sofía
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Instituto de Investigaciones Psicológicas 2024
Materias:
Reinforcemenft sensitivity theory
COVID-19
Contagion
Development
College students
reinforcement sensitivity theory
contagion
prognosis
college students
Acceso en línea:https://revistas.unc.edu.ar/index.php/racc/article/view/42563
Aporte de:
Revista Argentina de Ciencias del Comportamiento de Universidad Nacional de Córdoba
id I10-R363-article-42563
record_format ojs
spelling I10-R363-article-425632025-04-10T15:56:20Z Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability and Outcome: A Cross-Cultural Study Pulido, Marco Arjona, Daniel Avilés, Paola López, Valeria Martínez, Regina Santoyo, Sofía Vergara, Sofía Pulido, Marco Arjona, Daniel Avilés, Paola López, Valeria Martínez, Regina Santoyo, Sofía Vergara, Sofía Pulido, Marco Arjona, Daniel Avilés, Paola López, Valeria Martínez, Regina Santoyo, Sofía Vergara, Sofía Reinforcemenft sensitivity theory COVID-19 Contagion Development College students reinforcement sensitivity theory COVID-19 contagion prognosis college students The study assessed the capacity of revised Reinforcement Sensitivity Theory to predict COVID-19 vulnerability and outcome. A convenience sample of 1033 undergraduate students from Mexico and the US answered the RST-PQ and a COVID-19 symptom checklist. Data showed that FFFS and BIS are direct and significant predictors of the severity of COVID-19 symptoms; GDP is a significant and inverse predictor. Additionally, both RR and RI significantly differentiate between individuals that present COVID-19 infections, and those that do not. In general, the results only partially coincide with those produced on the issue by r-RST; however, they align well with scientific literature produced outside the framework. Apparently, individuals who score high in trait anxiety related scales of the RST-PQ will present worse COVID-19 infection symptoms. Additionally, individuals who score high in extroversion related scales of the RST-PQ, will have a higher probability of presenting a COVID-19 infection. The study assessed the capacity of revised Reinforcement Sensitivity Theory to predict COVID-19 vulnerability and outcome. A convenience sample of 1033 undergraduate students from Mexico and the US answered the RST-PQ and a COVID-19 symptom checklist. Data showed that FFFS and BIS are direct and significant predictors of the severity of COVID-19 symptoms; GDP is a significant and inverse predictor. Additionally, both RR and RI significantly differentiate between individuals that present COVID-19 infections, and those that do not. In general, the results only partially coincide with those produced on the issue by r-RST; however, they align well with scientific literature produced outside the framework. Apparently, individuals who score high in trait anxiety related scales of the RST-PQ, will present worse COVID-19 infection symptoms. Additionally, individuals who score high in extroversion related scales of the RST-PQ will have a higher probability of presenting a COVID-19 infection. Instituto de Investigaciones Psicológicas 2024-12-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/racc/article/view/42563 10.32348/1852.4206.v16.n4.42563 Argentinean Journal of Behavioral Sciences; Vol. 16 No. 4 (2024): Revista Argentina de Ciencias del Comportamiento; 37-45 Revista Argentina de Ciencias del Comportamiento; Vol. 16 Núm. 4 (2024): Revista Argentina de Ciencias del Comportamiento; 37-45 1852-4206 10.32348/1852.4206.v16.n4 eng https://revistas.unc.edu.ar/index.php/racc/article/view/42563/47779 Derechos de autor 2024 Marco Pulido, Daniel Arjona, Paola Avilés, Valeria López, Regina Martínez, Sofía Santoyo, Sofía Vergara http://creativecommons.org/licenses/by/4.0
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-363
container_title_str Revista Argentina de Ciencias del Comportamiento
language Inglés
format Artículo revista
topic Reinforcemenft sensitivity theory
COVID-19
Contagion
Development
College students
reinforcement sensitivity theory
COVID-19
contagion
prognosis
college students
spellingShingle Reinforcemenft sensitivity theory
COVID-19
Contagion
Development
College students
reinforcement sensitivity theory
COVID-19
contagion
prognosis
college students
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US
topic_facet Reinforcemenft sensitivity theory
COVID-19
Contagion
Development
College students
reinforcement sensitivity theory
COVID-19
contagion
prognosis
college students
author Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
author_facet Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
Pulido, Marco
Arjona, Daniel
Avilés, Paola
López, Valeria
Martínez, Regina
Santoyo, Sofía
Vergara, Sofía
author_sort Pulido, Marco
title Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US
title_short Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US
title_full Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US
title_fullStr Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US
title_full_unstemmed Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability: Data from Students in México and the US
title_sort using reinforcement sensitivity theory to predict covid-19 vulnerability: data from students in méxico and the us
description The study assessed the capacity of revised Reinforcement Sensitivity Theory to predict COVID-19 vulnerability and outcome. A convenience sample of 1033 undergraduate students from Mexico and the US answered the RST-PQ and a COVID-19 symptom checklist. Data showed that FFFS and BIS are direct and significant predictors of the severity of COVID-19 symptoms; GDP is a significant and inverse predictor. Additionally, both RR and RI significantly differentiate between individuals that present COVID-19 infections, and those that do not. In general, the results only partially coincide with those produced on the issue by r-RST; however, they align well with scientific literature produced outside the framework. Apparently, individuals who score high in trait anxiety related scales of the RST-PQ will present worse COVID-19 infection symptoms. Additionally, individuals who score high in extroversion related scales of the RST-PQ, will have a higher probability of presenting a COVID-19 infection.
publisher Instituto de Investigaciones Psicológicas
publishDate 2024
url https://revistas.unc.edu.ar/index.php/racc/article/view/42563
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first_indexed 2025-02-05T22:15:01Z
last_indexed 2025-05-10T05:23:31Z
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