Feasibility of Using Wearable Technology for Just-in-Time Prediction of Smoking Lapses

使用可穿戴技术及时预测吸烟情况的可行性

基本信息

批准号：
10226020
负责人：
MICHAEL KOTLYAR
金额：
$ 23.25万
依托单位：
UNIVERSITY OF MINNESOTA
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10226020
关键词：
Abstinence Address Apple watch Attenuated Behavior Therapy Behavioral Breathing Cellular Phone Cessation of life Chest Custom Data Detection Development Devices Environment Event Exposure to Foundations Galvanic Skin Response Goals Heart Rate Intervention Lead Measures Methods Motion Nicotine Observational Study Pattern Physiological Relapse Reporting Research Risk Series Severities Smoke Smoker Smoking Stress Stressful Event Surveys Symptoms Technology Temperature Testing Therapeutic Intervention Time Tobacco Dependence Training United States Withdrawal Symptom Work base behavioral pharmacology craving fitbit fitness heart rate variability high risk improved innovation novel strategies physiologic model predictive modeling prevent response sensor smart watch smoking cessation smoking cue stressor success wearable device wearable sensor technology

项目摘要

The long-term goal of the proposed line of research is to develop technology-based interventions that increase smoking cessation rates by delivering just-in-time support to minimize the likelihood that smoking triggers lead to smoking lapses. Towards this objective we propose to use continuous physiological and environmental time- series data obtained from sensors embedded in widely used consumer wearable technology to construct a predictive model for detecting antecedents of smoking events (e.g., stressors, smoking cues, etc). In this project, we will conduct an observational study of smokers during an ad libitum smoking period and during a period in which they attempt to quit smoking. During the observation period, smokers will wear three devices capable of collecting physiological and motion data. We hypothesize that consumer wearable technology can reliably capture physiological response to events that precede smoking during the ad libitum smoking period and precede lapse during the cessation period. Demonstrating that imminent smoking can be predicted would lead to the development and testing of just-in-time interventions that can be delivered via customized messaging on devices such as smartphones or smartwatches.

拟议研究方向的长期目标是开发基于技术的干预措施，以增加通过提供及时支持来最大程度地减少吸烟引发铅的可能性，从而提高戒烟率吸烟失误。为了实现这一目标，我们建议使用连续的生理和环境时间- 从广泛使用的消费者可穿戴技术中嵌入的传感器获得的一系列数据，用于构建用于检测吸烟事件前因（例如压力源、吸烟线索等）的预测模型。在这个项目中，我们将对吸烟者在随意吸烟期间和吸烟期间进行观察研究他们尝试戒烟的时期。观察期间，吸烟者将佩戴三种设备能够收集生理和运动数据。我们假设消费者可穿戴技术可以在随意吸烟期间可靠地捕捉对吸烟前事件的生理反应期间和停止期间之前的失效。证明即将吸烟可以预计将导致及时干预措施的开发和测试，这些干预措施可以通过在智能手机或智能手表等设备上定制消息传递。