%0期刊文章@ 1438- 8871% I JMIR出版物%V 22%卡塔尔世界杯8强波胆分析 N 12% P e20920% T用西班牙语的推文评估抑郁症药物治疗期间的行为和语言变化:配对比较研究%A Leis,Angela %A Ronzano,Francesco %A Mayer,Miguel Angel %A Furlong,Laura I %A Sanz,Ferran +生物医学信息学研究项目，庞培法布拉大学实验与健康科学系，巴塞罗那生物医学研究园区，Carrer Aiguader博士88，巴塞罗那，08003，西班牙，34 933160540，ferran.sanz@upf.edu %K抑郁症%K抗抑郁药物%K血清素吸收抑制剂%K心理健康%K社交媒体%K信息流行病学%K数据挖掘%D 2020 %7 18.12.2020 %9原始论文%J J医学互联网Res %G英语%X背景:抑郁症是最常见的精神疾病，也是全球致残的主要原因。选择性血清素再摄取抑制剂(SSRIs)是治疗抑郁症最常用的处方药。有些人在推特等社交媒体平台上分享他们服用抗抑郁药的经历。对接受SSRI治疗的Twitter用户发布的消息进行分析，可以得出这些抗抑郁药物如何影响用户行为的有用信息。目的:本研究旨在比较用户可能正在接受SSRI治疗时发布的推文的行为和语言特征，与同一用户在不太可能服用这种药物时发布的推文进行比较。方法:在第一步中，推特用户在推特中提到SSRI抗抑郁药的时间轴是使用128种SSRIs的通用名称和品牌名称来选择的。在第二步中，创建了两个推文数据集，治疗中数据集(由提到SSRI后30天内发布的推文组成)和未知治疗数据集(由任何提到SSRI的推文之前90天或之后90天发布的推文组成)。对于每个用户，分析了这两个数据集中分类的推文之间的行为和语言特征的变化。 186 users and their timelines with 668,842 tweets were finally included in the study. Results: The number of tweets generated per day by the users when they were in treatment was higher than it was when they were in the unknown-treatment period (P=.001). When the users were in treatment, the mean percentage of tweets posted during the daytime (from 8 AM to midnight) increased in comparison to the unknown-treatment period (P=.002). The number of characters and words per tweet was higher when the users were in treatment (P=.03 and P=.02, respectively). Regarding linguistic features, the percentage of pronouns that were first-person singular was higher when users were in treatment (P=.008). Conclusions: Behavioral and linguistic changes have been detected when users with depression are taking antidepressant medication. These features can provide interesting insights for monitoring the evolution of this disease, as well as offering additional information related to treatment adherence. This information may be especially useful in patients who are receiving long-term treatments such as people suffering from depression. %M 33337338 %R 10.2196/20920 %U //www.mybigtv.com/2020/12/e20920/ %U https://doi.org/10.2196/20920 %U http://www.ncbi.nlm.nih.gov/pubmed/33337338