Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.

Journal: Anxiety, stress, and coping
PMID:

Abstract

OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear.

Authors

  • Jon D Elhai
    Academy of Psychology and Behavior, Tianjin Normal University, No. 57-1 Wujiayao Street, Hexi District, Tianjin 300074, China; Department of Psychology, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606, USA; Department of Psychiatry, University of Toledo, 3000 Arlington Avenue, Toledo, OH 43614, USA. Electronic address: contact@jon-elhai.com.
  • Haibo Yang
    Academy of Psychology and Behavior, Tianjin Normal University, No. 57-1 Wujiayao Street, Hexi District, Tianjin 300074, China.
  • Dean McKay
    Department of Psychology, Fordham University, Bronx, NY, USA.
  • Gordon J G Asmundson
    Anxiety and illness Behaviors Laboratory, Department of Psychology, University of Regina, Regina, Canada.
  • Christian Montag
    Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany.