基于COMET-G研究数据预测模型的俄罗斯Sars-Cov-2起源阴谋论信念的人群类型:不连贯态度指标是精神失常的诱发因素。

4区 医学 Q2 Medicine
Psychiatria Danubina Pub Date : 2024-09-01
Timur Syunyakov, Alexey Pavlichenko, Andrei Vlasov, Mikaella Patsali, Paul Cumming, Xenia Gonda, Florence Thibaut, Giuseppe Tavormina, Avinash DeSousa, Konstantinos N Fountoulakis, Daria Smirnova
{"title":"基于COMET-G研究数据预测模型的俄罗斯Sars-Cov-2起源阴谋论信念的人群类型:不连贯态度指标是精神失常的诱发因素。","authors":"Timur Syunyakov, Alexey Pavlichenko, Andrei Vlasov, Mikaella Patsali, Paul Cumming, Xenia Gonda, Florence Thibaut, Giuseppe Tavormina, Avinash DeSousa, Konstantinos N Fountoulakis, Daria Smirnova","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We examined the prevalence and spread of conspiracy beliefs about the origins of the COVID-19 pandemic among representatives of the Russian population. Our study aimed to identify belief clusters and develop predictive models to understand the factors that influence conspiracy beliefs, particularly in the context of how they might evolve in response to socio-political events and cause mental disturbances, thus in relation to specific pathways of the infodemic and psychodemic waves that spread among vulnerable population groups.</p><p><strong>Methods: </strong>Data respondents to the international COMET-G study living in Russia during pandemic period (n=7,777) were analyzed using descriptive statistics, K-means clustering, and various machine learning models, including gradient boosting. We identified distinct populations depending on predominant beliefs about COVID-19 pandemic origins, and applied game theory (Shapely additive explanations) to determine the most influential variables in predicting cluster membership.</p><p><strong>Results: </strong>Four distinct belief clusters emerged, which we designate as Naturalists, Conspiracists, COVID-Sceptics, and the Incoherent Attitude groups. The Incoherent Attitude cluster constituted 20.8% of the sample, and was particularly associated with mental health signs such as sleep disturbances and the use of psychotropic medications. Internet use and mental health-related factors, as well as the respondents' education level, were key predictors of mental disturbances with mediating effects of the conspiracy views across all clusters. Conspiracy beliefs about COVID-19 origin were highly fluid/variable, often being shaped by external sociopolitical factors rather than objective health data.</p><p><strong>Conclusions: </strong>The cluster with Incoherent Attitude regarding COVID-pandemic origins, which had an association with psychoticism, showed a greater predisposition for mental health problems, than did the Conspiracist, Naturalist and Sceptic clusters. We suppose that underlying psychoticism bears a relation to their sleep problems and resorting to use of psychotropic medications. These results emphasizes the global health need for implementing target-focused and selective strategies that address public misinformation and promote the adoption of critical thinking skills to mitigate the impact of conspiracy theories, considering the factors of education level and pre-existing mental disorders.</p>","PeriodicalId":20760,"journal":{"name":"Psychiatria Danubina","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Population Typology of Conspiracy Beliefs About Sars-Cov-2 Origin in Russia Based on Predictive Modelling of COMET-G Study Data: Incoherent Attitude Indicator as a Predisposing Factor for Developing Mental Disturbances.\",\"authors\":\"Timur Syunyakov, Alexey Pavlichenko, Andrei Vlasov, Mikaella Patsali, Paul Cumming, Xenia Gonda, Florence Thibaut, Giuseppe Tavormina, Avinash DeSousa, Konstantinos N Fountoulakis, Daria Smirnova\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>We examined the prevalence and spread of conspiracy beliefs about the origins of the COVID-19 pandemic among representatives of the Russian population. Our study aimed to identify belief clusters and develop predictive models to understand the factors that influence conspiracy beliefs, particularly in the context of how they might evolve in response to socio-political events and cause mental disturbances, thus in relation to specific pathways of the infodemic and psychodemic waves that spread among vulnerable population groups.</p><p><strong>Methods: </strong>Data respondents to the international COMET-G study living in Russia during pandemic period (n=7,777) were analyzed using descriptive statistics, K-means clustering, and various machine learning models, including gradient boosting. We identified distinct populations depending on predominant beliefs about COVID-19 pandemic origins, and applied game theory (Shapely additive explanations) to determine the most influential variables in predicting cluster membership.</p><p><strong>Results: </strong>Four distinct belief clusters emerged, which we designate as Naturalists, Conspiracists, COVID-Sceptics, and the Incoherent Attitude groups. The Incoherent Attitude cluster constituted 20.8% of the sample, and was particularly associated with mental health signs such as sleep disturbances and the use of psychotropic medications. Internet use and mental health-related factors, as well as the respondents' education level, were key predictors of mental disturbances with mediating effects of the conspiracy views across all clusters. Conspiracy beliefs about COVID-19 origin were highly fluid/variable, often being shaped by external sociopolitical factors rather than objective health data.</p><p><strong>Conclusions: </strong>The cluster with Incoherent Attitude regarding COVID-pandemic origins, which had an association with psychoticism, showed a greater predisposition for mental health problems, than did the Conspiracist, Naturalist and Sceptic clusters. We suppose that underlying psychoticism bears a relation to their sleep problems and resorting to use of psychotropic medications. These results emphasizes the global health need for implementing target-focused and selective strategies that address public misinformation and promote the adoption of critical thinking skills to mitigate the impact of conspiracy theories, considering the factors of education level and pre-existing mental disorders.</p>\",\"PeriodicalId\":20760,\"journal\":{\"name\":\"Psychiatria Danubina\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychiatria Danubina\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychiatria Danubina","FirstCategoryId":"3","ListUrlMain":"","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

背景:我们研究了有关 COVID-19 大流行病起源的阴谋论信念在俄罗斯人口代表中的流行和传播情况。我们的研究旨在确定信念集群并开发预测模型,以了解影响阴谋论信念的因素,特别是这些信念如何在社会政治事件中演变并导致精神障碍,从而与在弱势群体中传播的信息流行病和精神流行病浪潮的特定路径有关:我们使用描述性统计、K-均值聚类和各种机器学习模型(包括梯度提升)分析了大流行期间居住在俄罗斯的 COMET-G 国际研究的受访者数据(n=7,777)。我们根据人们对 COVID-19 大流行起源的主要看法确定了不同的人群,并应用博弈论(形加解释)确定了对预测群组成员资格最有影响的变量:结果:出现了四个不同的信念群,我们将其分别命名为自然派、阴谋派、COVID 怀疑论者和态度不一致群。不一致态度组占样本的 20.8%,尤其与睡眠障碍和使用精神药物等精神健康症状有关。互联网使用和精神健康相关因素以及受访者的教育水平是预测精神障碍的关键因素,而阴谋论观点在所有群组中都具有中介作用。关于 COVID-19 起源的阴谋论观点具有高度不稳定性/可变性,通常受外部社会政治因素而非客观健康数据的影响:结论:对 COVID-19-流行病起源持不一致态度的群组与精神错乱有关联,与阴谋论者、自然论者和怀疑论者群组相比,更容易出现精神健康问题。我们认为,潜在的精神病与他们的睡眠问题和使用精神药物有关。这些结果表明,考虑到教育水平和原有精神障碍的因素,全球健康领域需要实施有针对性和选择性的策略,以解决公众误导问题,并促进批判性思维技能的采用,从而减轻阴谋论的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Population Typology of Conspiracy Beliefs About Sars-Cov-2 Origin in Russia Based on Predictive Modelling of COMET-G Study Data: Incoherent Attitude Indicator as a Predisposing Factor for Developing Mental Disturbances.

Background: We examined the prevalence and spread of conspiracy beliefs about the origins of the COVID-19 pandemic among representatives of the Russian population. Our study aimed to identify belief clusters and develop predictive models to understand the factors that influence conspiracy beliefs, particularly in the context of how they might evolve in response to socio-political events and cause mental disturbances, thus in relation to specific pathways of the infodemic and psychodemic waves that spread among vulnerable population groups.

Methods: Data respondents to the international COMET-G study living in Russia during pandemic period (n=7,777) were analyzed using descriptive statistics, K-means clustering, and various machine learning models, including gradient boosting. We identified distinct populations depending on predominant beliefs about COVID-19 pandemic origins, and applied game theory (Shapely additive explanations) to determine the most influential variables in predicting cluster membership.

Results: Four distinct belief clusters emerged, which we designate as Naturalists, Conspiracists, COVID-Sceptics, and the Incoherent Attitude groups. The Incoherent Attitude cluster constituted 20.8% of the sample, and was particularly associated with mental health signs such as sleep disturbances and the use of psychotropic medications. Internet use and mental health-related factors, as well as the respondents' education level, were key predictors of mental disturbances with mediating effects of the conspiracy views across all clusters. Conspiracy beliefs about COVID-19 origin were highly fluid/variable, often being shaped by external sociopolitical factors rather than objective health data.

Conclusions: The cluster with Incoherent Attitude regarding COVID-pandemic origins, which had an association with psychoticism, showed a greater predisposition for mental health problems, than did the Conspiracist, Naturalist and Sceptic clusters. We suppose that underlying psychoticism bears a relation to their sleep problems and resorting to use of psychotropic medications. These results emphasizes the global health need for implementing target-focused and selective strategies that address public misinformation and promote the adoption of critical thinking skills to mitigate the impact of conspiracy theories, considering the factors of education level and pre-existing mental disorders.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Psychiatria Danubina
Psychiatria Danubina 医学-精神病学
CiteScore
3.00
自引率
0.00%
发文量
288
审稿时长
4-8 weeks
期刊介绍: Psychiatria Danubina is a peer-reviewed open access journal of the Psychiatric Danubian Association, aimed to publish original scientific contributions in psychiatry, psychological medicine and related science (neurosciences, biological, psychological, and social sciences as well as philosophy of science and medical ethics, history, organization and economics of mental health services).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信