Predicting COVID-19 Anxiety based on Mindfulness and resiliency

Document Type : Research Article

Authors

1 M.A. Student in General Psychology , Rahman Institute of Higher Education

2 Assistant Professor, Psychology Department, Rahman Institute of Higher Education

10.22034/jmp.2021.302745.1018

Abstract

The Covid 19  epidemic has caused a great deal of anxiety in the last two years. The aim of this study was to predict Coronavirus anxiety based on mindfulness and resilience. The research is applied in terms of purpose and descriptive and correlational in terms of methodology. Data were collected using Coronavirus Anxiety Scale Questionnaires (Alipour, Ghadami, Alipour & Abdollahzadeh, 2020), 5-factor Mindfulness Questionnaire (Baer, Smith, Hopkins, Krietemeyer, Toney, 2020) and Resilience Questionnaire (Conner & Davidson, 2003). The statistical population of the study included all students of Rahman Ramsar Institute of Higher Education in the academic year 2020-2021. From this community, 260 students (147 males and 113 females) were selected by convenience sampling method and completed the questionnaires online. Multiple regression analysis and SPSS 20 software were used to analyze the data. Findings showed that mindfulness with an impact factor of 0.16 and resilience with an impact factor of -0.42 can significantly predict Covid-19 anxiety (p <0.05). According to the results, it can be said that holding workshops to promote resilience in students and people in the community can be less associated with coronavirus anxiety in them.

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Articles in Press, Accepted Manuscript
Available Online from 24 September 2021
  • Receive Date: 02 September 2021
  • Revise Date: 18 September 2021
  • Accept Date: 24 September 2021