基于吸毒者依恋类型、恢复力和预期寿命的冠状病毒焦虑预测

M. Khorrami, N. Pordelan, Samira Vakili, F. Taghian
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引用次数: 2

摘要

背景:2019冠状病毒病(COVID-19)对人类产生了无法解决的社会心理影响。边缘化群体,特别是吸毒者,可能承受更大的心理社会负担。目的:本研究旨在基于吸毒者的依恋方式、恢复力和预期寿命来预测covid -19引起的焦虑。方法:本研究为相关描述分析研究。本研究的统计人口包括2021年在Bojnurd戒毒过程中参加麻醉品匿名(NA)会议的所有吸毒者。根据现有的抽样方法,共筛选出134名吸毒人员。数据收集采用Alipour等人的冠状疾病焦虑量表(CDAS)、Hazen和Shaver的依恋风格问卷(AAQ)、Davidson的弹性量表和Miller Hope量表(MHS)。数据采用描述性统计、Pearson相关系数分析,采用SPSS 18逐步回归分析。结果:正如假设的那样,基于依恋类型、弹性和预期寿命来预测covid -19引起的焦虑。自变量(依恋类型、弹性和预期寿命)与新冠肺炎诱导变量之间存在多重相关系数(0.87),依恋类型、弹性和预期寿命可以预测新冠肺炎诱导焦虑变化的76% (R2)。结论:新型冠状病毒病与成瘾是两种流行且重叠的疾病,对公众健康构成严重威胁。根据本研究结果,为了预防吸毒者因新冠肺炎引起的焦虑,有必要考虑他们的依恋方式、恢复力和预期寿命。
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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. The marginalized community, especially drug users, probably suffer from greater psychosocial burden. Objectives: The current study aimed to predict COVID-19-induced anxiety based on attachment styles, resilience, and life expectancy in drug users. Methods: The present study is correlational descriptive-analytical research. The statistical population of this study included all drug users in 2021 who were in the process of abstaining from substance use and attended narcotics anonymous (NA) sessions in Bojnurd. In total, 134 addicts were selected based on the available sampling method. For data collection, the Corona Disease Anxiety Scale (CDAS) by Alipour et al., Attachment Styles Questionnaire (AAQ) by Hazen and Shaver, Resilience Scale by Davidson, and Miller Hope Scale (MHS) were used. Data were analyzed by descriptive statistics, Pearson correlation coefficient, and stepwise regression using SPSS 18. Results: As hypothesized, COVID-19-induced anxiety was predicted based on attachment styles, resilience, and life expectancy. Multiple correlation coefficient (0.87) was found between independent variables (attachment styles, resilience, and life expectancy) and COVID-19-induced variable, and attachment styles, resilience, and life expectancy could predict 76% (R2) of COVID-19-induced anxiety changes. Conclusions: COVID-19 and addiction are two epidemic and overlapping diseases and cause a serious threat to public health. According to the findings of this study, in order to prevent COVID-19-induced anxiety in drug users, it is necessary to consider their attachment styles, resilience, and life expectancy.
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