Depression, Anxiety, and Stress Among Healthcare Workers During the COVID-19 Outbreak and Relationships With Expressive Flexibility and Context Sensitivity.

Depression, Anxiety, and Stress Among Healthcare Workers During the COVID-19 Outbreak and Relationships With Expressive Flexibility and Context Sensitivity.
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DOI:
10.3389/fpsyg.2021.623033
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发表时间:
2021
影响因子:
3.8
通讯作者:
Bonanno GA
Bonanno GA
中科院分区:
心理学3区
文献类型:
--
作者:
Lenzo V;Quattropani MC;Sardella A;Martino G;Bonanno GA

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这项研究旨在调查医护人员的抑郁、焦虑和压力症状,并检验表达灵活性和背景敏感性作为弹性的关键组成部分在理解所报告的症状方面的作用。我们假设弹性成分在解释抑郁、焦虑和压力方面有显著和不同的贡献。在封锁期间,通过在线调查,总共有218名意大利医护人员参与了这项研究,调查对象是新冠肺炎。抑郁焦虑应激量表(DASS-21)用于测量抑郁、焦虑和压力;情绪表达的灵活调节(FREE)量表用于测量增强和抑制情绪表达的能力;背景敏感指数(CSI)用于测量准确感知上下文线索和确定线索缺失的能力。还收集了与人口统计和工作相关的数据。采用DASS-21分界值对调查对象的心理状况进行验证。相关分析考察了DASS-21、FREE和CSI之间的关系,随后进行了三个回归分析,以抑郁、焦虑和压力为因变量,控制了年龄、性别和工作经验。增强和抑制能力、线索存在和线索缺失被作为自变量。结果显示,中度到极重度症状的患病率分别为8%的抑郁症、9.8%的焦虑和8.9%的压力。相关分析的结果表明,能力的增强与抑郁和压力呈负相关。抑制能力与抑郁、焦虑和压力呈负相关。感知背景线索的能力与抑郁和焦虑呈负相关。回归分析表明,增强情绪表达的能力对解释医护人员的抑郁具有统计学意义。在预测焦虑时,年龄以及准确感知背景线索和确定线索缺失的能力作为预测者做出了实质性贡献。在最后一个回归模型中,年龄、工作经验和抑制情绪表达的能力是压力的显著预测因素。这项研究的发现有助于理解增强和抑制能力以及对应激源背景线索的敏感性在预测医护人员的抑郁、焦虑和压力方面的具体贡献。预防职业倦怠的心理干预应该考虑这些关系。
This study aimed at investigating depression, anxiety, and stress symptoms among healthcare workers and examine the role of expressive flexibility and context sensitivity as key components of resilience in understanding reported symptoms. We hypothesized a significant and different contribution of resilience components in explaining depression, anxiety, and stress. A total sample of 218 Italian healthcare workers participated in this study through an online survey during the lockdown, consequently to the COVID-19. The Depression Anxiety Stress Scales-21 (DASS-21) was used to measure depression, anxiety, and stress; the Flexible Regulation of Emotional Expression (FREE) scale was used to measure the ability to enhance and suppress emotional expression; the Context Sensitivity Index (CSI) was used to measure the ability to accurately perceive contextual cues and determine cue absence. Demographic and work-related data were also collected. DASS-21 cut-off scores were used to verify the mental status among the respondents. Correlational analyses examined relationships between DASS-21, FREE, and CSI, followed by three regression analyses with depression, anxiety, and stress as dependent variables, controlling for age, gender, and work experience. Enhancement and suppression abilities, cue presence, and cue absence served as independent variables. The results showed a prevalence of moderate to extremely severe symptoms of 8% for depression, 9.8% for anxiety, and 8.9% for stress. Results of correlational analysis highlighted that enhance ability was inversely associated with depression and stress. Suppression ability was inversely associated with depression, anxiety, and stress. The ability to perceive contextual cues was inversely associated with depression and anxiety. The regression analysis showed that the ability to enhance emotional expression was statistically significant to explain depression among healthcare workers. In predicting anxiety, age, and the ability to accurately perceive contextual cues and determine cue absence made substantial contributions as predictors. In the last regression model, age, work experience, and the ability to suppress emotional expression were significant predictors of stress. This study’s findings can help understand the specific contributions of enhancement and suppression abilities and sensitivity to stressor context cues in predicting depression, anxiety, and stress among healthcare workers. Psychological interventions to prevent burnout should consider these relationships.
DOI: 10.1371/journal.pone.0233173
发表时间: 2020-05-18
期刊: PLOS ONE
影响因子: 3.7
作者:
Lenzo, Vittorio;Bordino, Valentina;Quattropani, Maria C.
通讯作者: Quattropani, Maria C.
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期刊: PloS one
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