COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2022-01-05 DOI:10.2196/36215
J. Westmaas, M. Masters, Priti Bandi, Anuja Majmundar, S. Asare, W. Diver
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引用次数: 1

Abstract

Background The risk of infection and severity of illness by SARS-CoV-2 infection is elevated for people who smoke cigarettes and may motivate quitting. Organic public conversations on Twitter about quitting smoking could provide insight into quitting motivations or behaviors associated with the pandemic. Objective This study explored key topics of conversation about quitting cigarette smoking and examined their trajectory during 2018-2020. Methods Topic model analysis with latent Dirichlet allocation (LDA) identified themes in US tweets with the term “quit smoking.” The model was trained on posts from 2018 and was then applied to tweets posted in 2019 and 2020. Analysis of variance and follow-up pairwise tests were used to compare the daily frequency of tweets within and across years by quarter. Results The mean numbers of daily tweets on quitting smoking in 2018, 2019, and 2020 were 133 (SD 36.2), 145 (SD 69.4), and 127 (SD 32.6), respectively. Six topics were extracted: (1) need to quit, (2) personal experiences, (3) electronic cigarettes (e-cigarettes), (4) advice/success, (5) quitting as a component of general health behavior change, and (6) clinics/services. Overall, the pandemic was not associated with changes in posts about quitting; instead, New Year’s resolutions and the 2019 e-cigarette or vaping use–associated lung injury (EVALI) epidemic were more plausible explanations for observed changes within and across years. Fewer second-quarter posts in 2020 for the topic e-cigarettes may reflect lower pandemic-related quitting interest, whereas fourth-quarter increases in 2020 for other topics pointed to a late-year upswing. Conclusions Twitter posts suggest that the pandemic did not generate greater interest in quitting smoking, but possibly a decrease in motivation when the rate of infections was increasing in the second quarter of 2020. Public health authorities may wish to craft messages for specific Twitter audiences (eg, using hashtags) to motivate quitting during pandemics.
新冠肺炎与戒烟推文:2018-2020年推文话题模型分析
背景吸烟的人感染严重急性呼吸系统综合征冠状病毒2型的风险和疾病严重程度会升高,并可能促使戒烟。推特上关于戒烟的有机公开对话可以深入了解与疫情相关的戒烟动机或行为。目的本研究探讨了2018-2020年关于戒烟的关键话题,并考察了其发展轨迹。方法采用潜在狄利克雷分配(LDA)的主题模型分析确定了美国推文中“戒烟”一词的主题。该模型在2018年的帖子上进行了训练,然后应用于2019年和2020年发布的推文。方差分析和后续成对测试用于逐季度比较年内和跨年推特的每日频率。结果2018年、2019年和2020年关于戒烟的平均每日推文数量分别为133条(SD 36.2)、145条(SD 69.4)和127条(SD 32.6)。提取了六个主题:(1)戒烟需求,(2)个人经历,(3)电子烟,(4)建议/成功,(5)戒烟是一般健康行为改变的一个组成部分,以及(6)诊所/服务。总的来说,新冠疫情与辞职帖子的变化无关;相反,新年决心和2019年电子烟或电子烟使用相关肺损伤(EVALI)流行是对多年内和多年间观察到的变化的更合理的解释。2020年第二季度电子烟主题的帖子减少可能反映出与疫情相关的戒烟兴趣降低,而2020年第四季度其他主题的帖子增加则表明年末有所上升。结论推特上的帖子表明,疫情并没有引起人们对戒烟的更大兴趣,但当2020年第二季度感染率上升时,戒烟动机可能会下降。公共卫生当局可能希望为特定的推特受众制作信息(例如,使用标签),以激励他们在疫情期间戒烟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
0.00%
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