在Twitter上实时分享和表达偏头痛的痛苦;卡塔尔世界杯8强波胆分析一个横断面研究Infodemiology % Nascimento,蒂亚戈·D % DosSantos,马科斯F % Danciu,狄奥多拉% DeBoer,雾%一辆面包车Holsbeeck,卢卡斯•%,莎拉·R % Aiello,克里斯汀%哈提卜,利恩%本德,MaryCatherine %, %,也是一个- kar Zubieta jon %达席尔瓦,亚历山大·F % +头痛和Orofacial痛苦的努力(希望),生物和材料科学系、牙科学院、密歇根大学分子和行为神经科学研究所(MBNI), 205吉娜投手Pl, 1021室Ann Arbor, MI, 48106 -5720, United States, 1 734 615 9390, adasilva@umich.edu %K偏头痛%K头痛%K流行病学%K社交媒体%K Twitter %D 2014年3月4日原始论文[J] J医学互联网研究[G英语]背景:尽管人口研究极大地提高了我们对偏头痛的理解，但它们依赖于回顾性自我报告，容易出现记忆错误和实验者诱发的偏见。此外，这些研究也缺乏攻击发生的实际时间的细节，以及患者如何表达和分享他们持续的痛苦。随着技术和语言的不断发展，我们分享痛苦的方式也在不断发展。我们试图评估Twitter上自我报告的偏头痛的信息流行病学。方法:在学术环境中训练有素的观察者对连续7天内发布的每一条“偏头痛”推文的含义进行分类。主要结果测量是患病率、生活方式影响、语言和在Twitter上实际自我报告偏头痛的时间。结果:在收集到的21,741条偏头痛推文中，只有64.52%(14028 /21,741条收集的推文)来自实时报告偏头痛发作的用户。其余的帖子是商业的、转发的、一般性的讨论或第三人的偏头痛，以及隐喻。 The gender distribution available for the actual migraine posts was 73.47% female (10,306/14,028), 17.40% males (2441/14,028), and 0.01% transgendered (2/14,028). The personal impact of migraine headache was immediate on mood (43.91%, 6159/14,028), productivity at work (3.46%, 486/14,028), social life (3.45%, 484/14,028), and school (2.78%, 390/14,028). The most common migraine descriptor was “Worst” (14.59%, 201/1378) and profanity, the “F-word” (5.3%, 73/1378). The majority of postings occurred in the United States (58.28%, 3413/5856), peaking on weekdays at 10:00h and then gradually again at 22:00h; the weekend had a later morning peak. Conclusions: Twitter proved to be a powerful source of knowledge for migraine research. The data in this study overlap large-scale epidemiological studies, avoiding memory bias and experimenter-induced error. Furthermore, linguistics of ongoing migraine reports on social media proved to be highly heterogeneous and colloquial in our study, suggesting that current pain questionnaires should undergo constant reformulations to keep up with modernization in the expression of pain suffering in our society. In summary, this study reveals the modern characteristics and broad impact of migraine headache suffering on patients’ lives as it is spontaneously shared via social media. %M 24698747 %R 10.2196/jmir.3265 %U //www.mybigtv.com/2014/4/e96/ %U https://doi.org/10.2196/jmir.3265 %U http://www.ncbi.nlm.nih.gov/pubmed/24698747