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抗抑郁药在英文推文中的关注领域及社会考量:一项自然语言处理分类研究

Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.

作者信息

de Anta Laura, Alvarez-Mon Miguel Angel, Ortega Miguel A, Salazar Cristina, Donat-Vargas Carolina, Santoma-Vilaclara Javier, Martin-Martinez Maria, Lahera Guillermo, Gutierrez-Rojas Luis, Rodriguez-Jimenez Roberto, Quintero Javier, Alvarez-Mon Melchor

机构信息

Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain.

Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain.

出版信息

J Pers Med. 2022 Jan 25;12(2):155. doi: 10.3390/jpm12020155.

Abstract

BACKGROUND

Antidepressants are the foundation of the treatment of major depressive disorders. Despite the scientific evidence, there is still a sustained debate and concern about the efficacy of antidepressants, with widely differing opinions among the population about their positive and negative effects, which may condition people's attitudes towards such treatments. Our aim is to investigate Twitter posts about antidepressants in order to have a better understanding of the social consideration of antidepressants.

METHODS

We gathered public tweets mentioning antidepressants written in English, published throughout a 22-month period, between 1 January 2019 and 31 October 2020. We analysed the content of each tweet, determining in the first place whether they included medical aspects or not. Those with medical content were classified into four categories: general aspects, such as quality of life or mood, sleep-related conditions, appetite/weight issues and aspects around somatic alterations. In non-medical tweets, we distinguished three categories: commercial nature (including all economic activity, drug promotion, education or outreach), help request/offer, and drug trivialization. In addition, users were arranged into three categories according to their nature: patients and relatives, caregivers, and interactions between Twitter users. Finally, we identified the most mentioned antidepressants, including the number of retweets and likes, which allowed us to measure the impact among Twitter users.

RESULTS

The activity in Twitter concerning antidepressants is mainly focused on the effects these drugs may have on certain health-related areas, specifically sleep (20.87%) and appetite/weight (8.95%). Patients and relatives are the type of user that most frequently posts tweets with medical content (65.2%, specifically 80% when referencing sleep and 78.6% in the case of appetite/weight), whereas they are responsible for only 2.9% of tweets with non-medical content. Among tweets classified as non-medical in this study, the most common subject was drug trivialization (66.86%). Caregivers barely have any presence in conversations in Twitter about antidepressants (3.5%). However, their tweets rose more interest among other users, with a ratio 11.93 times higher than those posted by patients and their friends and family. Mirtazapine is the most mentioned antidepressant in Twitter (45.43%), with a significant difference with the rest, agomelatine (11.11%).

CONCLUSIONS

This study shows that Twitter users that take antidepressants, or their friends and family, use social media to share medical information about antidepressants. However, other users that do not talk about antidepressants from a personal or close experience, frequently do so in a stigmatizing manner, by trivializing them. Our study also brings to light the scarce presence of caregivers in Twitter.

摘要

背景

抗抑郁药是治疗重度抑郁症的基础。尽管有科学证据,但关于抗抑郁药的疗效仍存在持续的争论和担忧,公众对其正负效应的看法差异很大,这可能会影响人们对这类治疗方法的态度。我们的目的是调查推特上关于抗抑郁药的帖子,以便更好地了解社会对抗抑郁药的看法。

方法

我们收集了2019年1月1日至2020年10月31日这22个月期间发布的、用英语撰写的提及抗抑郁药的公开推文。我们分析了每条推文的内容,首先确定它们是否包含医学方面的内容。那些包含医学内容的推文被分为四类:一般方面,如生活质量或情绪、与睡眠相关的状况、食欲/体重问题以及躯体改变方面。在非医学推文中,我们区分出三类:商业性质(包括所有经济活动、药物推广、教育或宣传)、求助/提供帮助以及药物轻视。此外,根据用户性质将其分为三类:患者及其亲属、护理人员以及推特用户之间的互动。最后,我们确定了提及最多的抗抑郁药,包括转发和点赞的数量,这使我们能够衡量在推特用户中的影响力。

结果

推特上关于抗抑郁药的活动主要集中在这些药物可能对某些与健康相关领域产生的影响上,特别是睡眠(20.87%)和食欲/体重(8.95%)。患者及其亲属是发布含医学内容推文最频繁的用户类型(65.2%,在提及睡眠时尤其为80%,在食欲/体重方面为78.6%),而他们仅占非医学内容推文的2.9%。在本研究中归类为非医学的推文中,最常见的主题是药物轻视(66.86%)。护理人员在推特上关于抗抑郁药的讨论中几乎没有出现(3.5%)。然而,他们的推文在其他用户中引起了更多关注,其比例比患者及其朋友和家人发布的推文高出11.93倍。米氮平是推特上提及最多的抗抑郁药(45.43%),与其他药物有显著差异,阿戈美拉汀为(11.11%)。

结论

这项研究表明,服用抗抑郁药的推特用户或其朋友和家人会利用社交媒体分享关于抗抑郁药的医学信息。然而,其他没有从个人或亲密经历谈论抗抑郁药的用户,经常以轻视的方式进行污名化谈论。我们的研究还揭示了护理人员在推特上的存在感很低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ce4/8879287/399060174f6b/jpm-12-00155-g001.jpg

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