Suppr超能文献

一篇关于新冠病毒与吸烟的论文对推特用户吸烟态度的潜在影响:观察性研究。

Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users' Attitudes Toward Smoking: Observational Study.

作者信息

Tao Chunliang, Diaz Destiny, Xie Zidian, Chen Long, Li Dongmei, O'Connor Richard

机构信息

Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, United States.

Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.

出版信息

JMIR Form Res. 2021 Jun 15;5(6):e25010. doi: 10.2196/25010.

Abstract

BACKGROUND

A cross-sectional study (Miyara et al, 2020) conducted by French researchers showed that the rate of current daily smoking was significantly lower in patients with COVID-19 than in the French general population, implying a potentially protective effect of smoking.

OBJECTIVE

We aimed to examine the dissemination of the Miyara et al study among Twitter users and whether a shift in their attitudes toward smoking occurred after its publication as preprint on April 21, 2020.

METHODS

Twitter posts were crawled between April 14 and May 4, 2020, by the Tweepy stream application programming interface, using a COVID-19-related keyword query. After filtering, the final 1929 tweets were classified into three groups: (1) tweets that were not related to the Miyara et al study before it was published, (2) tweets that were not related to Miyara et al study after it was published, and (3) tweets that were related to Miyara et al study after it was published. The attitudes toward smoking, as expressed in the tweets, were compared among the above three groups using multinomial logistic regression models in the statistical analysis software R (The R Foundation).

RESULTS

Temporal analysis showed a peak in the number of tweets discussing the results from the Miyara et al study right after its publication. Multinomial logistic regression models on sentiment scores showed that the proportion of negative attitudes toward smoking in tweets related to the Miyara et al study after it was published (17.07%) was significantly lower than the proportion in tweets that were not related to the Miyara et al study, either before (44/126, 34.9%; P<.001) or after the Miyara et al study was published (68/198, 34.3%; P<.001).

CONCLUSIONS

The public's attitude toward smoking shifted in a positive direction after the Miyara et al study found a lower incidence of COVID-19 cases among daily smokers.

摘要

背景

法国研究人员进行的一项横断面研究(宫良等人,2020年)表明,新冠病毒病(COVID-19)患者的当前每日吸烟率显著低于法国普通人群,这意味着吸烟可能具有保护作用。

目的

我们旨在研究宫良等人的这项研究在推特用户中的传播情况,以及在该研究于2020年4月21日作为预印本发表后,推特用户对吸烟的态度是否发生了转变。

方法

使用Tweepy流应用程序编程接口,通过与新冠病毒病相关的关键词查询,在2020年4月14日至5月4日期间抓取推特帖子。经过筛选,最终的1929条推文被分为三组:(1)在宫良等人的研究发表之前与该研究无关的推文,(2)在宫良等人的研究发表之后与该研究无关的推文,以及(3)在宫良等人的研究发表之后与该研究相关的推文。在统计分析软件R(R基金会)中,使用多项逻辑回归模型对上述三组推文中表达的对吸烟的态度进行比较。

结果

时间分析显示,在宫良等人的研究发表后,讨论该研究结果的推文数量出现了峰值。对情感得分的多项逻辑回归模型显示,在宫良等人的研究发表后与该研究相关的推文中,对吸烟持负面态度的比例(17.07%)显著低于在宫良等人的研究发表之前(44/126,34.9%;P<0.001)或之后(68/198,34.3%;P<0.001)与宫良等人的研究无关的推文中的比例。

结论

在宫良等人的研究发现每日吸烟者中新冠病毒病病例的发病率较低之后,公众对吸烟的态度朝着积极的方向转变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/258b/8208470/5bbf8c2fd705/formative_v5i6e25010_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验