Online social networks and smoking cessation: a scientific research agenda.
Online social networks and smoking cessation: a scientific research agenda.
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DOI：
10.2196/jmir.1911
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发表时间：
2011-12-19
影响因子：
7.4
通讯作者：
Workshop Participants
中科院分区：
文献类型：
--
作者：
Cobb NK;Graham AL;Byron MJ;Niaura RS;Abrams DB;Workshop Participants
吸烟仍然是美国和国际上最紧迫的公共卫生问题之一。互联网、社会网络科学和在线社区的同步发展为能够改变人口吸烟率和大幅改善公共健康的高收益干预措施提供了潜在目标。我们的目标是召集相关学科的主要从业者，制定关于在线社交网络及其用于戒烟的战略研究议程的核心，并对其他健康行为产生影响。我们在美国华盛顿举办了一个100人、为期2天的多学科研讨会。参与者以小组形式工作，制定可以推动该领域向前发展的研究问题。研讨会规划委员会综合了讨论情况和由此产生的问题。我们认为四个类别（推进理论，理解基本机制，干预方法和评估）中的34个问题是最紧迫的。在线社交网络可能在几个方面促进戒烟。确定新的理论，将其转化为功能性干预措施，并评估结果将需要协调一致的跨学科努力。本报告提出了一系列研究问题，以帮助研究人员，开发人员和资助者有效地推动这一领域的发展。
Smoking remains one of the most pressing public health problems in the United States and internationally. The concurrent evolution of the Internet, social network science, and online communities offers a potential target for high-yield interventions capable of shifting population-level smoking rates and substantially improving public health. Our objective was to convene leading practitioners in relevant disciplines to develop the core of a strategic research agenda on online social networks and their use for smoking cessation, with implications for other health behaviors. We conducted a 100-person, 2-day, multidisciplinary workshop in Washington, DC, USA. Participants worked in small groups to formulate research questions that could move the field forward. Discussions and resulting questions were synthesized by the workshop planning committee. We considered 34 questions in four categories (advancing theory, understanding fundamental mechanisms, intervention approaches, and evaluation) to be the most pressing. Online social networks might facilitate smoking cessation in several ways. Identifying new theories, translating these into functional interventions, and evaluating the results will require a concerted transdisciplinary effort. This report presents a series of research questions to assist researchers, developers, and funders in the process of efficiently moving this field forward.
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影响因子：
12.7
作者：
Cobb NK;Graham AL;Abrams DB
通讯作者：
Abrams DB
通过基于证据的停止治疗和政策来促进人口退出。
影响因子：
5.5
作者：
Abrams DB;Graham AL;Levy DT;Mabry PL;Orleans CT
通讯作者：
Orleans CT
影响因子：
4.2
作者：
Cohen, Sheldon;Lemay, Edward P.
通讯作者：
Lemay, Edward P.
影响因子：
7.4
作者：
An LC;Schillo BA;Saul JE;Wendling AH;Klatt CM;Berg CJ;Ahulwalia JS;Kavanaugh AM;Christenson M;Luxenberg MG
通讯作者：
Luxenberg MG
影响因子：
7.4
作者：
Bock BC;Graham AL;Whiteley JA;Stoddard JL
通讯作者：
Stoddard JL