Resilience Contributes to Low Emotional Impact of the COVID-19 Outbreak Among the General Population in Italy.
Resilience Contributes to Low Emotional Impact of the COVID-19 Outbreak Among the General Population in Italy.
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DOI：
10.3389/fpsyg.2020.576485
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发表时间：
2020
影响因子：
3.8
通讯作者：
Franceschini C
中科院分区：
文献类型：
--
作者：
Lenzo V;Quattropani MC;Musetti A;Zenesini C;Freda MF;Lemmo D;Vegni E;Borghi L;Plazzi G;Castelnuovo G;Cattivelli R;Saita E;Franceschini C
COVID-19疫情严重影响整体心理健康，心理后果未知。虽然可能会产生强烈的心理影响，但迄今为止缺乏证据。过去的研究表明，弹性可以减少压力的负面影响。本研究的目的是检查抑郁，焦虑和压力在意大利一般人群中的特点是锁定的阶段，并探讨弹性作为一个潜在的预测因素的作用。共有6,314名意大利人参加了这项研究。参与者于2020年3月29日至5月4日通过在线调查招募。采用抑郁焦虑应激量表（DASS-21）和心理弹性量表（RS）进行评定。还收集了人口统计数据和封锁相关信息。进行了相关分析，以探讨心理病理领域和复原力之间的关系。以抑郁、焦虑、压力为因变量，以复原力为自变量，控制年龄、性别、教育程度，进行三个层次回归分析。COVID-19特定变量也纳入了三项回归分析。进行了进一步的探索性分析，以检查哪些方面的弹性预测抑郁，焦虑和压力。参与者中中度至极重度症状的患病率为抑郁症32%，焦虑症24.4%，压力31.7%。样本在抑郁、焦虑和压力方面的平均得分高于文献报道的正常得分。相关分析结果显示，弹性因素，如意义，自力更生，存在孤独，平静，与抑郁，焦虑和压力呈负相关。回归分析结果显示，复原力对忧郁、焦虑、压力有显著的预测作用。居住的地理区域和被感染的熟人也是重要的预测因素。关于弹性因素，结果显示，意义，毅力和平静在预测所有DASS-21量表的统计学意义。大约三分之一的受访者报告了中度到极度严重的抑郁、焦虑和压力。本研究表明，心理弹性可能独立有助于低情绪困扰和心理疾病。这些发现有助于解释COVID-19爆发期间个体反应的差异性。
The COVID-19 outbreak is severely affecting the overall mental health with unknown psychological consequences. Although a strong psychological impact is possible, scant evidence is available to date. Past studies have shown that resilience decreases the negative effects of stress. This study aimed to examine depression, anxiety, and stress among the Italian general population during the phase characterized by lockdown, and to investigate the role of resilience as a potential predictor. A total sample of 6,314 Italian people participated in this study. Participants were recruited between March 29 and May 04 2020 through an online survey. The Depression Anxiety Stress Scales-21 (DASS-21) and the Resilience Scale (RS) were administered. Demographic data and lockdown related information were also collected. A correlational analysis was carried out to examine relationships between psychopathological domains and resilience. Three hierarchical regression analyses were conducted using the depression, anxiety, and stress as dependent variables and the resilience as independent variable controlling for age, gender, and education. COVID-19 specific variables were also included in the three regression analyses. A further exploratory analysis was carried out to examine which aspects of resilience predict depression, anxiety, and stress. The prevalence of moderate to extremely severe symptoms among participants was 32% for depression, 24.4% for anxiety, and 31.7% for stress. The sample mean scores on depression, anxiety, and stress were higher than the normal scores reported in the literature. Results of correlational analysis showed that resilience factors, such as meaningfulness, self-reliance, existential aloneness, and equanimity, are inversely associated with depression, anxiety, and stress. Results of regression analyses indicated that resilience was statically significant in predicting depression, anxiety, and stress. Geographic area of residence and infected acquaintances were also significant predictors. Regarding the resilience factors, results revealed that meaningfulness, perseverance, and equanimity were statistically significant in predicting all the DASS-21 scales. About a third of respondents reported moderate to extremely severe depression, anxiety, and stress. The present study suggests that psychological resilience may independently contribute to low emotional distress and psychological ill-being. These findings can help explain the variability of individual responses during the COVID-19 outbreak.
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影响因子：
3.7
作者：
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通讯作者：
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通讯作者：
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