Prediction of Corona virus Anxiety based on Health Concern, Psychological Hardiness, and Positive Meta-emotion in Diabetic Patients

Diabetes is the most common chronic metabolic disease, and diabetic patients are one of the main groups at risk for Corona disease. Health concern, psychological hardiness, and positive meta-worry are among anxiety-related factors. Therefore, the present study aimed to predict Coronavirus anxiety in diabetic patients based on health concern, psychological hardiness, and positive meta-worry.

The current study had a cross-sectional correlational design. The research population included diabetic patients in Ahvaz in 2020 among whom 500 cases were selected by voluntary sampling. Data collection tools were Coronavirus anxiety scale, Health Concern Questionnaire, psychological hardiness scale, and positive meta-worry scale. The obtained data were analyzed in SPSS software (version 24) using Pearson correlation coefficients and multiple regression.

As evidenced by the obtained results health concern (r=0/398) had a positive and significant relationship with Coronavirus anxiety in diabetic patients. On the other hand, psychological hardiness (r=-0/276) and positive meta-worry (r=-0/311) had a negative and significant relationship with their Coronavirus anxiety. Moreover, the variables of health concern, psychological hardiness, and positive meta-worry significantly could predict 26.5% of Coronavirus anxiety variance in diabetic patients, and health concern had a higher odds ratio (P<0.01).

Due to the ability of health concern, psychological hardiness, and positive meta-worry in predicting Coronavirus anxiety of diabetic patients, it is recommended to design some programs to reduce health concern and increase psychological hardiness and positive meta-worry and implement them using virtual and electronic workshops.