Balsamo Michela, Carlucci Leonardo
Department of Psychological, Health and Territorial Sciences, University of Chieti, Chieti, Italy.
Front Psychol. 2020 Oct 16;11:569276. doi: 10.3389/fpsyg.2020.569276. eCollection 2020.
The pandemic of coronavirus disease 2019 (COVID-19) has affected the Italian community. The widespread use of quarantine had the desired impact of controlling the epidemic, although it caused many psychological consequences. To date, compliance of the Italian public with voluntary home quarantine has been very high, but little is known about the impact of psychological health on sociodemographic categories during the quarantine. The purpose of this study was to assess the prevalence of depressive symptoms in specific sociodemographic categories during the COVID-19 quarantine lockdown and the potential factors that contribute to, or mitigate, these effects. In the very early stage of the nationwide lockdown, 3,672 quarantined Italian adult residents (65% females, ranging from 18 to 85 years) participated in a web-based cross-sectional survey, including measures of depressive symptoms, which were measured by the Teate depression inventory, and state anxiety levels. The overall prevalence was 27.8% for moderate and 9.3% for severe levels of depressive symptoms. A generalized logistic model was used to identify the factors associated with mental health problems. Among these factors, sociodemographic variables (e.g., sex, age, employment status) and adherence to quarantine guidelines were analyzed. Females, younger people, students, singles, residents in northern Italy, people who were reluctant to adhere to quarantine guidelines, and people less worried about being infected with COVID-19 were at high risk of developing depressive symptoms during the COVID-19 epidemic, also after controlling for state anxiety. These findings showed that public levels of depressive symptoms did not increase the greater likelihood of being infected. Our study suggested that the monitoring of psychological outcomes for outbreaks could identify groups at higher risk of psychological morbidities due to the current pandemic in order to target future psychological interventions for implementation.
2019年冠状病毒病(COVID-19)大流行已影响到意大利社会。尽管隔离措施造成了许多心理影响,但广泛实施隔离对控制疫情产生了预期效果。迄今为止,意大利民众对自愿居家隔离的遵守程度很高,但对于隔离期间心理健康对社会人口统计学类别的影响却知之甚少。本研究的目的是评估COVID-19隔离封锁期间特定社会人口统计学类别中抑郁症状的患病率,以及促成或减轻这些影响的潜在因素。在全国封锁的早期阶段,3672名被隔离的意大利成年居民(65%为女性,年龄在18至85岁之间)参与了一项基于网络的横断面调查,其中包括通过泰特抑郁量表测量的抑郁症状以及状态焦虑水平的测量。中度抑郁症状的总体患病率为27.8%,重度抑郁症状的患病率为9.3%。采用广义逻辑模型来确定与心理健康问题相关的因素。在这些因素中,分析了社会人口统计学变量(如性别、年龄、就业状况)以及对隔离指南的遵守情况。女性、年轻人、学生、单身人士、意大利北部居民、不愿遵守隔离指南的人以及对感染COVID-19不太担心的人在COVID-19疫情期间出现抑郁症状的风险较高,在控制了状态焦虑之后也是如此。这些发现表明,公众的抑郁症状水平并不会增加感染的更大可能性。我们的研究表明,对疫情爆发的心理结果进行监测可以识别出因当前大流行而面临更高心理疾病风险的群体,以便为未来实施针对性的心理干预措施。