兴趣领域和对减肥药的态度：使用 Twitter 进行的主题和定量分析。
Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter.
机构信息
Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain.
Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcala, Alcalá de Henares, Spain.
出版信息
J Med Internet Res. 2021 Oct 26;23(10):e24336. doi: 10.2196/24336.
BACKGROUND
Antiobesity drugs are prescribed for the treatment of obesity in conjunction with healthy eating, physical activity, and behavior modification. However, poor adherence rates have been reported. Attitudes or beliefs toward medications are important to ascertain because they may be associated with patient behavior. The analysis of tweets has become a tool for health research.
OBJECTIVE
The aim of this study is to investigate the content and key metrics of tweets referring to antiobesity drugs.
METHODS
In this observational quantitative and qualitative study, we focused on tweets containing hashtags related to antiobesity drugs between September 20, 2019, and October 31, 2019. Tweets were first classified according to whether they described medical issues or not. Tweets with medical content were classified according to the topic they referred to: side effects, efficacy, or adherence. We additionally rated it as positive or negative. Furthermore, we classified any links included within a tweet as either scientific or nonscientific. Finally, the number of retweets generated as well as the dissemination and sentiment score obtained by the antiobesity drugs analyzed were also measured.
RESULTS
We analyzed a total of 2045 tweets, 945 of which were excluded according to the criteria of the study. Finally, 320 out of the 1,100 remaining tweets were also excluded because their content, although related to drugs for obesity treatment, did not address the efficacy, side effects, or adherence to medication. Liraglutide and semaglutide accumulated the majority of tweets (682/780, 87.4%). Notably, the content that generated the highest frequency of tweets was related to treatment efficacy, with liraglutide-, semaglutide-, and lorcaserin-related tweets accumulating the highest proportion of positive consideration. We found the highest percentages of tweets with scientific links in those posts related to liraglutide and semaglutide. Semaglutide-related tweets obtained the highest probability of likes and were the most disseminated within the Twitter community.
CONCLUSIONS
This analysis of posted tweets related to antiobesity drugs shows that the interest, beliefs, and experiences regarding these pharmacological treatments are heterogeneous. The efficacy of the treatment accounts for the majority of interest among Twitter users.
背景
抗肥胖药物与健康饮食、身体活动和行为改变一起用于治疗肥胖症。然而，据报道，这些药物的依从率很差。了解患者对药物的态度或信念很重要，因为它们可能与患者的行为有关。分析推文已成为健康研究的一种工具。
目的
本研究旨在调查与抗肥胖药物相关的推文的内容和关键指标。
方法
在这项观察性定量和定性研究中，我们主要关注 2019 年 9 月 20 日至 10 月 31 日期间包含与抗肥胖药物相关标签的推文。根据推文是否描述了医疗问题对其进行分类。具有医疗内容的推文根据它们所涉及的主题进行分类：副作用、疗效或依从性。我们还对其进行了积极或消极的评价。此外，我们将推文内包含的链接分为科学或非科学链接。最后，还测量了分析的抗肥胖药物生成的转发次数、传播和情绪评分。
结果
我们分析了总共 2045 条推文，其中 945 条根据研究标准被排除。最后，在剩下的 1100 条推文中，又有 320 条被排除，因为它们的内容虽然与肥胖治疗药物有关，但并未涉及药物的疗效、副作用或用药依从性。利拉鲁肽和司美格鲁肽积累了最多的推文（682/780，87.4%）。值得注意的是，生成推文频率最高的内容与治疗效果有关，利拉鲁肽、司美格鲁肽和洛卡西林相关推文积累了最高比例的积极考虑。我们发现与利拉鲁肽和司美格鲁肽相关的推文中，带有科学链接的比例最高。与司美格鲁肽相关的推文获得点赞的概率最高，在 Twitter 社区中的传播也最广。
结论
对与抗肥胖药物相关的推文的分析表明，Twitter 用户对这些药物治疗的兴趣、信念和经验是多种多样的。治疗效果在 Twitter 用户中引起了最大的兴趣。
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