Prediction of Coronavirus Anxiety based on Attachment Styles, Resilience, and Life Expectancy in Drug Users

Background: The Coronavirus disease 2019 (COVID-19) has had unsolvable psychosocial effects on human beings. marginalized community, especially drug users, probably suffer from greater burden. Objectives: current study aimed to predict COVID-19-induced anxiety based attachment styles, resilience, and life expectancy in users. Methods: present is correlational descriptive-analytical research. statistical population of this included all users 2021 who were the process abstaining substance use attended narcotics anonymous (NA) sessions Bojnurd. In total, 134 addicts selected available sampling method. For data collection, Corona Disease Anxiety Scale (CDAS) by Alipour et al., Attachment Styles Questionnaire (AAQ) Hazen Shaver, Resilience Davidson, Miller Hope (MHS) used. Data analyzed descriptive statistics, Pearson correlation coefficient, stepwise regression using SPSS 18. Results: As hypothesized, was predicted expectancy. Multiple coefficient (0.87) found between independent variables (attachment expectancy) variable, could 76% (R2) changes. Conclusions: COVID-19 addiction are two epidemic overlapping diseases cause a serious threat public health. According findings study, order prevent it necessary consider their