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稳健大流行应对量表(R-PCS)的编制与验证

Development and Validation of the Robust - Pandemic Coping Scale (R-PCS).

作者信息

Burro Roberto, Vicentini Giada, Rocca Emmanuela, Barnaba Veronica, Hall Rob, Raccanello Daniela

机构信息

Department of Human Sciences, University of Verona, Verona, Italy.

Environmetrics Pty Ltd., Killara, NSW, Australia.

出版信息

Front Psychol. 2021 Sep 9;12:725344. doi: 10.3389/fpsyg.2021.725344. eCollection 2021.

Abstract

The psychological consequences of epidemics/pandemics, such as the COVID-19 pandemic, include an increase in psychopathological symptoms, such as depression, anxiety, and stress, and negative emotions, such as fear. However, relatively little attention has been paid to how people cope with the pandemic. Coping is a multi-component process, helping to diminish the traumatic impact of stressful events in a variety of ways. We studied how university students coped with the first wave of the COVID-19 pandemic, by developing the Robust - Pandemic Coping Scale (R-PCS), a new scale for measuring coping strategies related to epidemics/pandemics. The scale is based on a classification of coping strategies referred to the needs of competence, relatedness, and autonomy. To create a robust scale, such that the item values would be independent of the sample used for developing it, we employed Rasch modeling. We used a sample of 2,987 Italian university students who participated in an online survey including the R-PCS and the Power to Live with Disasters Questionnaire (PLDQ), during March 2020. First, we applied a dual approach combining exploratory and confirmatory factor analyses, which supported the goodness of a 4-factor model (i.e., Despair, Adjustment, Proactivity, and Aversion) for the R-PCS, invariant across gender and age of respondents (younger or as old as 23 years, older than 23 years). We then transformed the raw scores of the R-PCS into interval logit scale scores applying the Rasch model. Second, our findings supported the discriminant validity and the criterion validity of the R-PCS, examining the correlations with the PLDQ. They also confirmed its predictive validity: the R-PCS scores were related to 2-month-later enjoyment and anger, indicating that Adjustment and Proactivity were adaptive while Despair and Aversion were maladaptive. Third, our study revealed gender and age differences: the scores were higher for Despair, Adjustment, and Proactivity for females; for Aversion for males; and for Proactivity for students older than 23 years. The study suffers from limitations related to social desirability, gender imbalance, and self-selection effects in the recruitment.

摘要

诸如新冠疫情等流行病/大流行的心理影响包括心理病理症状(如抑郁、焦虑和压力)以及负面情绪(如恐惧)的增加。然而,人们如何应对大流行相对而言较少受到关注。应对是一个多成分的过程,有助于通过多种方式减轻压力事件的创伤性影响。我们通过开发“稳健 - 大流行应对量表”(R - PCS)来研究大学生如何应对新冠疫情的第一波冲击,这是一种用于测量与流行病/大流行相关应对策略的新量表。该量表基于根据能力、关联性和自主性需求对应对策略进行的分类。为了创建一个稳健的量表,使项目值独立于用于开发它的样本,我们采用了拉施模型。我们使用了2987名意大利大学生的样本,他们在2020年3月参加了一项在线调查,该调查包括R - PCS和“与灾难共存的力量问卷”(PLDQ)。首先,我们应用了探索性因素分析和验证性因素分析相结合的双重方法,这支持了R - PCS的四因素模型(即绝望、调整、积极主动和厌恶)的良好性,该模型在受访者的性别和年龄(23岁及以下、23岁以上)上具有不变性。然后,我们应用拉施模型将R - PCS的原始分数转换为区间逻辑量表分数。其次,我们的研究结果支持了R - PCS的区分效度和效标效度,通过检查与PLDQ的相关性来验证。研究结果还证实了其预测效度:R - PCS分数与两个月后的愉悦感和愤怒感相关,表明调整和积极主动是适应性的,而绝望和厌恶是适应不良的。第三,我们的研究揭示了性别和年龄差异:女性在绝望、调整和积极主动方面的得分更高;男性在厌恶方面的得分更高;23岁以上的学生在积极主动方面的得分更高。该研究存在与社会期望性、性别不平衡以及招募中的自我选择效应相关的局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/479c/8458653/f48f65014be1/fpsyg-12-725344-g001.jpg

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