Monzani Dario, Vergani Laura, Marton Giulia, Pizzoli Silvia F M, Pravettoni Gabriella
Department of Oncology and Hemato-Oncology, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
Applied Research Division for Cognitive and Psychological Science, IEO, European Institute of Oncology IRCCS, Milan, Italy.
BMC Public Health. 2021 Oct 20;21(1):1902. doi: 10.1186/s12889-021-11887-2.
Psychological health has been one of the aspects affected by the recent COVID-19 pandemic. We aim to evaluate the patterns of Google search for mental distress symptoms of Italian citizens during the various phases of the COVID-19 pandemic.
We assessed Google searches for psychological-health related words. We gathered and analyzed data on daily search queries on depression, anxiety, and insomnia from Google Trends, in a time ranging from the Pre-COVID phase (beginning 25th January 2020) up to the second wave phase (ending 17th October 2020). We performed three general linear models on search trends of the three words and tested whether and to what extent official data about new cases of COVID-19, information searching on new cases, and the government health measures impacted on these trends.
Average daily search queries were higher for anxiety, followed by depression and insomnia. General linear models performed to assess differences in daily search queries for anxiety, depression and insomnia were significant, respectively [F(13, 253) = 6.80, P < .001]; [F(13, 253) = 10.25, P < .001]; [F(13, 253) = 6.61, P < .001]. Specifically, daily search queries differed among different phases of managing the COVID-19 outbreak: anxiety [F(5, 253) = 10.35, P < .001, [Formula: see text] = .17]; depression [F(5, 253) = 13.59, P < .001, [Formula: see text] = .21]; insomnia [F(5, 253) = 3.52, P = .004, [Formula: see text] = .07].
Our study contributed to the investigation of online information-seeking behaviors of Italians regarding mental health throughout the entire phase of the pandemic and provides insights on the possible future trends of mental distress during upcoming pandemic phases.
心理健康一直是近期新冠疫情影响的方面之一。我们旨在评估意大利公民在新冠疫情各阶段对心理困扰症状的谷歌搜索模式。
我们评估了谷歌对与心理健康相关词汇的搜索。我们收集并分析了从谷歌趋势获取的关于抑郁、焦虑和失眠的每日搜索查询数据,时间范围从新冠疫情前阶段(2020年1月25日开始)到第二波阶段(2020年10月17日结束)。我们对这三个词汇的搜索趋势进行了三个一般线性模型,并测试了关于新冠疫情新病例的官方数据、新病例信息搜索以及政府卫生措施是否以及在多大程度上影响了这些趋势。
焦虑的平均每日搜索查询量更高,其次是抑郁和失眠。用于评估焦虑、抑郁和失眠每日搜索查询差异的一般线性模型分别具有显著性[F(13, 253) = 6.80, P <.001];[F(13, 253) = 10.25, P <.001];[F(13, 253) = 6.61, P <.001]。具体而言,在新冠疫情爆发管理的不同阶段,每日搜索查询量有所不同:焦虑[F(5, 253) = 10.35, P <.001, [公式:见原文] =.17];抑郁[F(5, 253) = 13.59, P <.001, [公式:见原文] =.21];失眠[F(5, 253) = 3.52, P =.004, [公式:见原文] =.07]。
我们的研究有助于调查意大利人在疫情整个阶段关于心理健康的在线信息寻求行为,并为即将到来的疫情阶段心理困扰的可能未来趋势提供见解。