Using Reinforcement Sensitivity Theory to Predict COVID-19 Vulnerability and Outcome: A Cross-Cultural Study

• Pulido, Marco ^[1] ; Arjona, Daniel ^[1] ; Avilés, Paola ^[1] ; López, Valeria ^[1] ; Martínez, Regina ^[1] ; Santoyo, Sofía ^[1] ; Vergara, Sofía ^[1]
  1. [1] Universidad Anáhuac

     Universidad Anáhuac

     México

     
• Localización: Revista Argentina de Ciencias del Comportamiento ( RACC ), ISSN-e 1852-4206, Vol. 16, Nº. 4, 2024 (Ejemplar dedicado a: Revista Argentina de Ciencias del Comportamiento), págs. 37-45
• Idioma: inglés
• DOI: 10.32348/1852.4206.v16.n4.42563
• Títulos paralelos:
  • La teoría de la sensibilidad al reforzador como predictor de vulnerabilidad y desenlace de una infección por COVID-19: Un estudio transcultural
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    El estudio evaluó la capacidad de la Teoría de la Sensibilidad al Reforzador revisada para predecir la vulnerabilidad y gravedad de una infección por COVID-19. Una muestra no probabilística de 1033 estudiantes de México los EUA contestó el RST-PQ y el cuestionario de síntomas COVID-19. Los resultados mostraron que FFFS y BIS son predictores directos y significativos de síntomas de COVID-19; GDP es un predictor inverso y significativo. Complementariamente tanto RR como RI diferencian entre individuos que enfermarán y aquellos que no. En general los resultados solo coinciden parcialmente con aquellos producidos por la r-RST; sin embargo, se alinean bien con la literatura producida fuera del paradigma en cuestión. Aparentemente, individuos que puntúan alto en escalas del RST-PQ asociadas a ansiedad estado, presentarán peores síntomas. Adicionalmente aquellos que puntúan alto en escalas relacionadas con extraversión tendrán una mayor probabilidad de contagiarse.

  • English

    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.

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