• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用搜索引擎数据追踪人群层面的焦虑:生态学研究

Tracking Population-Level Anxiety Using Search Engine Data: Ecological Study.

作者信息

Gilbert Barnabas James, Lu Chunling, Yom-Tov Elad

机构信息

Department of Brain Sciences, Imperial College London, London, United Kingdom.

Department of Global Health & Social Medicine, Harvard Medical School, Boston, MA, United States.

出版信息

JMIR Form Res. 2023 Mar 22;7:e44055. doi: 10.2196/44055.

DOI:10.2196/44055
PMID:36947130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10131769/
Abstract

BACKGROUND

Anxiety disorders are the most prevalent mental disorders globally, with a substantial impact on quality of life. The prevalence of anxiety disorders has increased substantially following the COVID-19 pandemic, and it is likely to be further affected by a global economic recession. Understanding anxiety themes and how they change over time and across countries is crucial for preventive and treatment strategies.

OBJECTIVE

The aim of this study was to track the trends in anxiety themes between 2004 and 2020 in the 50 most populous countries with high volumes of internet search data. This study extends previous research by using a novel search-based methodology and including a longer time span and more countries at different income levels.

METHODS

We used a crowdsourced questionnaire, alongside Bing search query data and Google Trends search volume data, to identify themes associated with anxiety disorders across 50 countries from 2004 to 2020. We analyzed themes and their mutual interactions and investigated the associations between countries' socioeconomic attributes and anxiety themes using time-series linear models. This study was approved by the Microsoft Research Institutional Review Board.

RESULTS

Query volume for anxiety themes was highly stable in countries from 2004 to 2019 (Spearman r=0.89) and moderately correlated with geography (r=0.49 in 2019). Anxiety themes were predominantly long-term and personal, with "having kids," "pregnancy," and "job" the most voluminous themes in most countries and years. In 2020, "COVID-19" became a dominant theme in 27 countries. Countries with a constant volume of anxiety themes over time had lower fragile state indexes (P=.007) and higher individualism (P=.003). An increase in the volume of the most searched anxiety themes was associated with a reduction in the volume of the remaining themes in 13 countries and an increase in 17 countries, and these 30 countries had a lower prevalence of mental disorders (P<.001) than the countries where no correlations were found.

CONCLUSIONS

Internet search data could be a potential source for predicting the country-level prevalence of anxiety disorders, especially in understudied populations or when an in-person survey is not viable.

摘要

背景

焦虑症是全球最普遍的精神障碍,对生活质量有重大影响。新冠疫情之后,焦虑症的患病率大幅上升,而且可能会受到全球经济衰退的进一步影响。了解焦虑主题以及它们如何随时间和国家而变化对于预防和治疗策略至关重要。

目的

本研究的目的是追踪2004年至2020年期间50个人口最多且有大量互联网搜索数据的国家中焦虑主题的趋势。本研究通过使用一种基于搜索的新颖方法,并纳入更长的时间跨度和更多不同收入水平的国家,扩展了先前的研究。

方法

我们使用了众包问卷,以及必应搜索查询数据和谷歌趋势搜索量数据,来确定2004年至2020年期间50个国家中与焦虑症相关的主题。我们分析了主题及其相互作用,并使用时间序列线性模型研究了国家社会经济属性与焦虑主题之间的关联。本研究得到了微软研究院机构审查委员会的批准。

结果

2004年至2019年期间,各国焦虑主题的查询量高度稳定(斯皮尔曼相关系数r = 0.89),并且与地理有中度相关性(2019年r = 0.49)。焦虑主题主要是长期的和个人的,在大多数国家和年份中,“生育孩子”“怀孕”和“工作”是搜索量最大的主题。2020年,“新冠疫情”在27个国家成为主导主题。随着时间推移焦虑主题搜索量保持不变的国家,其脆弱国家指数较低(P = 0.007),个人主义程度较高(P = 0.003)。在13个国家中,搜索量最大的焦虑主题的增加与其余主题的搜索量减少相关,在17个国家中则与搜索量增加相关,并且这30个国家的精神障碍患病率低于未发现相关性的国家(P < 0.001)。

结论

互联网搜索数据可能是预测国家层面焦虑症患病率的潜在来源,特别是在研究不足的人群中或当面调查不可行时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/af4c9f710c25/formative_v7i1e44055_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/fe0ce87618db/formative_v7i1e44055_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/8ce89f453632/formative_v7i1e44055_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/af4c9f710c25/formative_v7i1e44055_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/fe0ce87618db/formative_v7i1e44055_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/8ce89f453632/formative_v7i1e44055_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8487/10131769/af4c9f710c25/formative_v7i1e44055_fig3.jpg

相似文献

1
Tracking Population-Level Anxiety Using Search Engine Data: Ecological Study.利用搜索引擎数据追踪人群层面的焦虑:生态学研究
JMIR Form Res. 2023 Mar 22;7:e44055. doi: 10.2196/44055.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
Understanding Health Communication Through Google Trends and News Coverage for COVID-19: Multinational Study in Eight Countries.通过谷歌趋势和新冠疫情新闻报道理解健康传播:八国跨国研究。
JMIR Public Health Surveill. 2021 Dec 21;7(12):e26644. doi: 10.2196/26644.
4
How Does the World Google the Internet, Anxiety, and Happiness?世界如何在互联网上搜索焦虑和幸福?
Cyberpsychol Behav Soc Netw. 2018 Sep;21(9):569-574. doi: 10.1089/cyber.2018.0206.
5
Impact assessment of immunization and the COVID-19 pandemic on varicella across Europe using digital epidemiology methods: A descriptive study.利用数字流行病学方法评估免疫接种和 COVID-19 大流行对欧洲水痘的影响:一项描述性研究。
PLoS One. 2023 Apr 12;18(4):e0283465. doi: 10.1371/journal.pone.0283465. eCollection 2023.
6
Using Search Engine Query Data to Explore the Epidemiology of Common Gastrointestinal Symptoms.利用搜索引擎查询数据探索常见胃肠道症状的流行病学。
Dig Dis Sci. 2017 Mar;62(3):588-592. doi: 10.1007/s10620-016-4384-y. Epub 2016 Nov 23.
7
Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study.利用 2020 年至 2021 年韩国搜索引擎查询数据预测每日新增 COVID-19 病例和死亡人数:信息流行病学研究。
J Med Internet Res. 2021 Dec 22;23(12):e34178. doi: 10.2196/34178.
8
Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes.评估与埃博拉相关的网络搜索行为:基于谷歌趋势查询量的分析研究的见解与启示
Infect Dis Poverty. 2015 Dec 10;4:54. doi: 10.1186/s40249-015-0090-9.
9
Infodemiological study on the impact of the COVID-19 pandemic on increased headache incidences at the world level.关于 COVID-19 大流行对全球头痛发生率增加的影响的信息流行病学研究。
Sci Rep. 2022 Jun 17;12(1):10253. doi: 10.1038/s41598-022-13663-7.
10
Are cannabis prevalence estimates comparable across countries and regions? A cross-cultural validation using search engine query data.大麻流行率估计在国家和地区之间具有可比性吗?使用搜索引擎查询数据进行的跨文化验证。
Int J Drug Policy. 2013 Jan;24(1):23-9. doi: 10.1016/j.drugpo.2012.05.002. Epub 2012 Jul 17.

引用本文的文献

1
Promises and Pitfalls of Internet Search Data in Mental Health: Critical Review.心理健康领域互联网搜索数据的前景与隐患:批判性综述
JMIR Ment Health. 2025 Feb 18;12:e60754. doi: 10.2196/60754.

本文引用的文献

1
Digitally filling the access gap in mental health care: An investigation of the association between rurality and online engagement with validated self-report screens across the United States.数字化填补精神卫生保健服务中的获取缺口:对美国农村地区与经过验证的自我报告筛查在线参与度之间关联的调查。
J Psychiatr Res. 2023 Jan;157:112-118. doi: 10.1016/j.jpsychires.2022.11.024. Epub 2022 Nov 25.
2
The Prevalence of Psychiatric Disorders in General Hospital Inpatients: A Systematic Umbrella Review.综合医院住院患者精神障碍的患病率:一项系统性伞状综述。
J Acad Consult Liaison Psychiatry. 2022 Nov-Dec;63(6):567-578. doi: 10.1016/j.jaclp.2022.04.004. Epub 2022 Apr 28.
3
Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study.
利用谷歌趋势的大数据绘制美国人群抑郁症地图:探索性信息流行病学研究。
JMIR Ment Health. 2022 Mar 31;9(3):e35253. doi: 10.2196/35253.
4
Covid-19 vaccination, fear and anxiety: Evidence from Google search trends.Covid-19 疫苗接种、恐惧和焦虑:来自谷歌搜索趋势的证据。
Soc Sci Med. 2022 Mar;297:114820. doi: 10.1016/j.socscimed.2022.114820. Epub 2022 Feb 16.
5
Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic.2020 年 COVID-19 大流行期间 204 个国家和地区的抑郁和焦虑障碍的全球患病率和负担。
Lancet. 2021 Nov 6;398(10312):1700-1712. doi: 10.1016/S0140-6736(21)02143-7. Epub 2021 Oct 8.
6
The Evolution in Anxiety and Depression with the Progression of the Pandemic in Adult Populations from Eight Countries and Four Continents.在八大洲四个国家的成年人群中,随着大流行的进展,焦虑和抑郁的演变。
Int J Environ Res Public Health. 2021 May 1;18(9):4845. doi: 10.3390/ijerph18094845.
7
Global, regional and national burden of anxiety disorders from 1990 to 2019: results from the Global Burden of Disease Study 2019.2019 年全球、区域和国家焦虑障碍负担:2019 年全球疾病负担研究结果。
Epidemiol Psychiatr Sci. 2021 May 6;30:e36. doi: 10.1017/S2045796021000275.
8
Increased Internet Searches for Insomnia as an Indicator of Global Mental Health During the COVID-19 Pandemic: Multinational Longitudinal Study.新冠疫情期间,互联网上对失眠的搜索增加作为全球心理健康指标的跨国纵向研究
J Med Internet Res. 2020 Sep 21;22(9):e22181. doi: 10.2196/22181.
9
Mapping of Health Literacy and Social Panic Via Web Search Data During the COVID-19 Public Health Emergency: Infodemiological Study.新冠疫情公共卫生紧急事件期间通过网络搜索数据对健康素养与社会恐慌的映射:信息流行病学研究
J Med Internet Res. 2020 Jul 2;22(7):e18831. doi: 10.2196/18831.
10
Wealth, justice and freedom: Objective and subjective measures predicting poor mental health in a study across eight countries.财富、正义与自由:一项涵盖八个国家的研究中预测心理健康不佳的客观与主观指标
SSM Popul Health. 2017 Jul 27;3:639-648. doi: 10.1016/j.ssmph.2017.07.010. eCollection 2017 Dec.