Development of a Smartphone-Based Virtual Sensor for Detecting Smoking Behavior

在美国，吸烟是导致死亡和残疾的主要可预防原因;全世界每年有超过500万人过早死亡。大多数吸烟者表示希望戒烟，每年有一半以上的人会戒烟。然而，只有不到7%的戒烟者能够长期戒烟。关于戒烟尝试（即失效）后第一支香烟的直接和预测性前因，我们已经知道很多，其中包括情况（例如其他吸烟者的存在）和活动（例如饮酒）。虽然理想情况下，这些信息可以用来开发一个系统，实时检测这些预测的前因，并提供及时的干预;迄今为止，还没有这样的系统已经开发出来。我们研究计划的总体目标是开发和测试这样一个使用智能手机技术的系统。这里开发的系统可以被整合到不同的应用平台中，这些应用平台的目标是改变吸烟和多种其他健康相关行为，包括药物和酒精使用、食物消费和身体活动。

Cigarette smoking is the leading preventable cause of death and disability in the U.S.; worldwide it results in >5,000,000 premature deaths each year. The majority of smokers express a desire to quit, and each year more than half will. However, less than 7% of those who quit will achieve long-term abstinence. Much is known about the immediate and predictive antecedents of the first cigarette following a quit attempt (i.e. lapse), which include situations (e.g. presence of other smokers) and activities (e.g. alcohol consumption). While ideally this information could be used to develop a system that detects these predictive antecedents in real-time and provides just-in-time intervention; to date no such systems have been developed. The overarching goal of our research program is to develop and test such a system that uses smartphone technology. The system developed here can be incorporated into diverse application platforms that target the modification of smoking and multiple other health related behaviors including drug and alcohol use, food consumption and physical activity.