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中国新冠疫情第一波爆发前、期间及之后关于自杀的在线搜索趋势。

Trends in online searching toward suicide pre-, during, and post the first wave of COVID-19 outbreak in China.

作者信息

Chen Hongguang, Zhang Konglai, Li Hui, Li Mengqian, Li Shunfei

机构信息

Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.

Department of Epidemiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Front Psychiatry. 2022 Jul 25;13:947765. doi: 10.3389/fpsyt.2022.947765. eCollection 2022.

Abstract

COVID-19 may increase the risk of suicide, but the conclusion is still unclear. This study was designed to assess the impact of COVID-19 on suicide pre-, during, and post the first wave of COVID-19 in China. It was reported that online public searching was associated with their offline thoughts and behaviors. Therefore, this study was designed to explore the online search for suicide pre-, during, and post-COVID-19 in China. The keywords on suicide, COVID-19, unemployment, and depression were collected in 2019 and 2020 using the Baidu Search Index (BSI). A time-series analysis examined the dynamic correlations between BSI-COVID-19 and BSI-suicide. A generalized estimating equation model was used to calculate the coefficients of variables associated with the BSI-suicide. The BSI-suicide showed a significant increase (15.6%, = 0.006) from the 5th to 9th week, which was also the point of the first wave of the COVID-19 outbreak. A time-series analysis between BSI-suicide and BSI-COVID-19 showed that the strongest correlation occurred at lag 1+ and lag 2+ week. In the pre-COVID-19 model, only BSI-depression was highly associated with BSI-suicide (β = 1.38, = 0.008). During the COVID-19 model, BSI-depression (β = 1.77, = 0.040) and BSI-COVID-19 (β = 0.03, < 0.001) were significantly associated with BSI-suicide. In the post-COVID-19 model, BSI depression (β = 1.55, = 0.010) was still highly associated with BSI-suicide. Meanwhile, BSI-unemployment (β = 1.67, = 0.007) appeared to be linked to BSI-suicide for the first time. There was a surge in suicide-related online searching during the early stage of the first wave of the COVID-19 outbreak. Online suicide search volume peaked 1-2 weeks after the COVID-19 peak. The BSI of factors associated with suicide varied at different stages of the COVID-19 pandemic. The findings in this study are preliminary and further research is needed to arrive at evidence of causality.

摘要

新冠病毒肺炎(COVID-19)可能会增加自杀风险,但结论仍不明确。本研究旨在评估COVID-19在中国第一波疫情前、疫情期间及疫情后对自杀的影响。据报道,网络公众搜索与他们的线下想法和行为有关。因此,本研究旨在探究中国在COVID-19疫情前、疫情期间及疫情后对自杀相关内容的网络搜索情况。利用百度搜索指数(BSI)收集了2019年和2020年关于自杀、COVID-19、失业及抑郁的关键词。采用时间序列分析研究BSI-COVID-19与BSI-自杀之间的动态相关性。使用广义估计方程模型计算与BSI-自杀相关变量的系数。BSI-自杀从第5周到第9周出现显著增加(15.6%,P = 0.006),这也是COVID-19疫情第一波爆发的时间点。BSI-自杀与BSI-COVID-19之间的时间序列分析表明,最强相关性出现在滞后1周和滞后2周。在COVID-19疫情前模型中,只有BSI-抑郁与BSI-自杀高度相关(β = 1.38,P = 0.008)。在COVID-19疫情期间模型中,BSI-抑郁(β = 1.77,P = 0.040)和BSI-COVID-19(β = 0.03,P < 0.001)与BSI-自杀显著相关。在COVID-19疫情后模型中,BSI-抑郁(β = 1.55,P = 0.010)仍与BSI-自杀高度相关。同时,BSI-失业(β = 1.67,P = 0.007)首次似乎与BSI-自杀有关。在COVID-19疫情第一波爆发的早期,与自杀相关的网络搜索量激增。COVID-19高峰期过后1 - 2周,网络自杀搜索量达到峰值。与自杀相关因素的百度搜索指数在COVID-19大流行的不同阶段有所变化。本研究结果为初步结果,需要进一步研究以得出因果关系的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10a6/9357924/05729afa77f4/fpsyt-13-947765-g001.jpg

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