精神病理学
苦恼
心理学
临床心理学
脆弱性(计算)
潜在类模型
人际交往
虐待儿童
人口
毒物控制
自杀预防
精神科
医学
医疗急救
社会心理学
统计
计算机安全
数学
环境卫生
计算机科学
作者
Ateret Gewirtz‐Meydan,Dana Lassri
标识
DOI:10.1016/j.chiabu.2021.105442
摘要
There is little argument that COVID-19 is potentially highly stressful for many people, however, little research has broken down COVID-19-related distress into different aspects clustering together, and how these clusters differ in terms of the vulnerability of the individuals.The primary aim of the present study was to identify distinct profiles of individuals' reactions to COVID-19-related stress, and analyze potential differences and risk and protective factors associated with these profiles in relation to childhood abuse, psychopathology, and interpersonal relationships.Data was collected online among a convenience sample of 914 men and women in Israel.A Latent Profile Analysis (LPA) for estimating distinct profiles in people's COVID-19-related distress was applied. Next, profiles were compared in childhood abuse, psychopathology, perceived social support and relationship satisfaction.Five distinct profiles were identified: The distressed (23.75%), the worried (38.96%), the financially and socially distressed (15.20%), the caregivers (13.65%), and the untroubled (8.44Profiles in which individuals had more COVID-19 related distress are characterized by more childhood abuse, psychopathology, and less social support and relationship satisfaction.An assessment of the psychological implications of COVID-19 (when screening the population and creating prevention/intervention programs) should take into account the different responses individuals have when facing COVID-19, and their vulnerability, including their history of abuse, psychopathology, social support and relationship satisfaction, so that these programs will be better tailored to each type of distress experienced.
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