Background: Given the epidemic of Corona disease and its associated anxiety, it is necessary to develop a tool to measure anxiety. This study was conducted to instruct Corona Disease Anxiety Scale (CDAS) to measure the level of anxiety, during the prevalence of the COVID-19 in Iran. Methods: The present study was considered as applied research in terms of purpose and descriptivecorrelational research in terms of methodological. 318 individuals (aged from 18 to 60 years old) completed the Corona Disease Anxiety Scale (CDAS) and the General Health Questionnaire (GHQ) online. Results: Corona Disease Anxiety Scale had a good internal consistency (α=0.91) and good convergent validity, correlating with the GHQ-28 (r=0.49, P>0.01). Exploratory analysis revealed psychological and physical factors. These 2 factor account for 51% of the total variance and 9 items were loaded on every factor. Conclusion: This scale is reliable and valid scale for measuring Corona anxiety in non-clinical Iranian population.    

Objective: This study aims to determine the number of patients, as well as their nuclear and extended family members with or without established cardiovascular disease, at the baseline age of ≤20 along with the family members under 20 years old, who could benefit from a potential sociocultural, environmental and household related cardiovascular health promotion interventions in a social tie network, which enriches the explanation of human behavior by explicitly taking its social structure into account. Methods: This study is a part of a clinical trial-educational family-centered health intervention on patients undergoing percutaneous coronary intervention and their household members.  Ethical clearance was obtained from Iran National Committee for Ethics in Biomedical Research, and approved by the Iranian Registry of Clinical Trials. The study was conducted from October 2021 to March 2022. It involved a total of 33 patients. The demographic information was gathered from a self-administered questionnaire and the information was analysed via medical genogram and social network analysis model at individual and group level. Results: Overall, via only 33 patients and their significant other (n=66), we got access to the medical history of 429 nuclear and extended family members.