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基于推特的成人戒烟支持网络中的参与度映射

Mapping Engagement in Twitter-Based Support Networks for Adult Smoking Cessation.

作者信息

Lakon Cynthia M, Pechmann Cornelia, Wang Cheng, Pan Li, Delucchi Kevin, Prochaska Judith J

机构信息

Cynthia M. Lakon is with the Department of Population Health and Disease Prevention, Program in Public Health, University of California, Irvine. Cornelia Pechmann is with The Paul Merage School of Business, University of California, Irvine. Cheng Wang is with the Department of Sociology, University of Notre Dame, Notre Dame, IN. Li Pan is with the Shanghai Jiao Tong University, Antai College of Economics and Management, Shanghai, China. Kevin Delucchi is with the Department of Psychiatry, University of California, San Francisco. Judith J. Prochaska is with the Stanford Prevention Research Center, Stanford University, Palo Alto, CA.

出版信息

Am J Public Health. 2016 Aug;106(8):1374-80. doi: 10.2105/AJPH.2016.303256. Epub 2016 Jun 16.

Abstract

We examined engagement in novel quit-smoking private social support networks on Twitter, January 2012 to April 2014. We mapped communication patterns within 8 networks of adult smokers (n = 160) with network ties defined by participants' tweets over 3 time intervals, and examined tie reciprocity, tie strength, in-degree centrality (popularity), 3-person triangles, 4-person cliques, network density, and abstinence status. On average, more than 50% of ties were reciprocated in most networks and most ties were between abstainers and nonabstainers. Tweets formed into more aggregated patterns especially early in the study. Across networks, 35.00% (7 days after the quit date), 49.38% (30 days), and 46.88% (60 days) abstained from smoking. We demonstrated that abstainers and nonabstainers engaged with one another in dyads and small groups. This study preliminarily suggests potential for Twitter as a platform for adult smoking-cessation interventions.

摘要

我们于2012年1月至2014年4月期间,研究了推特上新型戒烟私人社交支持网络中的参与情况。我们绘制了8个成年吸烟者网络(n = 160)内的交流模式,网络联系由参与者在3个时间间隔内发布的推文定义,并研究了联系的互惠性、联系强度、入度中心性(受欢迎程度)、三人三角关系、四人小团体、网络密度和戒烟状态。平均而言,大多数网络中超过50%的联系是互惠的,且大多数联系存在于戒烟者和非戒烟者之间。推文形成了更多聚合模式,尤其是在研究早期。在各个网络中,35.00%(戒烟日期后7天)、49.38%(30天)和46.88%(60天)的人成功戒烟。我们证明了戒烟者和非戒烟者在二元组和小团体中相互交流。这项研究初步表明推特作为成人戒烟干预平台的潜力。

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本文引用的文献

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Text messaging-based smoking cessation intervention: a narrative review.基于短信的戒烟干预:一项叙述性综述。
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