Dynamic models of stress-smoking responses based on high-frequency sensor data.
Dynamic models of stress-smoking responses based on high-frequency sensor data.
复制标题
DOI：
10.1038/s41746-021-00532-2
复制
发表时间：
2021-11-23
影响因子：
15.2
通讯作者：
Conroy DE
中科院分区：
文献类型：
--
作者：
Hojjatinia S;Daly ER;Hnat T;Hossain SM;Kumar S;Lagoa CM;Nahum-Shani I;Samiei SA;Spring B;Conroy DE
自我报告表明，压力会增加吸烟的风险;然而，来自传感器的密集数据可以提供对吸烟事件前后压力的更细致入微的理解。识别个性化的压力吸烟反应的动态模型可以改善吸烟反应的表征压力后，但用于识别这些模型的技术需要密集的纵向数据。这项研究利用了可穿戴传感技术和压力和吸烟的数字标记的进步，通过考虑吸烟事件之前、期间和之后的压力来识别特定于个人的压力和吸烟系统动力学模型。成年吸烟者（n = 45）在尝试戒烟前三天佩戴AutoSense胸带（呼吸感应体积描记器、心电图、加速度计），每个手腕上佩戴MotionSense（加速度计、陀螺仪）。分钟级吸烟事件的几率对分钟级压力概率进行回归，以确定吸烟对压力反应的个人特定动态模型。对连续压力事件的模拟脉搏反应显示，所有参与者在模拟压力事件开始后不久或延迟后吸烟的几率增加。在这种模式之后，大约一半的参与者（49%）的吸烟概率急剧下降。传感器检测到的压力概率表明吸烟的脆弱性，可用作及时干预的定制变量，以支持戒烟尝试。
Self-reports indicate that stress increases the risk for smoking; however, intensive data from sensors can provide a more nuanced understanding of stress in the moments leading up to and following smoking events. Identifying personalized dynamical models of stress-smoking responses can improve characterizations of smoking responses following stress, but techniques used to identify these models require intensive longitudinal data. This study leveraged advances in wearable sensing technology and digital markers of stress and smoking to identify person-specific models of stress and smoking system dynamics by considering stress immediately before, during, and after smoking events. Adult smokers (n = 45) wore the AutoSense chestband (respiration-inductive plethysmograph, electrocardiogram, accelerometer) with MotionSense (accelerometers, gyroscopes) on each wrist for three days prior to a quit attempt. The odds of minute-level smoking events were regressed on minute-level stress probabilities to identify person-specific dynamic models of smoking responses to stress. Simulated pulse responses to a continuous stress episode revealed a consistent pattern of increased odds of smoking either shortly after the beginning of the simulated stress episode or with a delay, for all participants. This pattern is followed by a dramatic reduction in the probability of smoking thereafter, for about half of the participants (49%). Sensor-detected stress probabilities indicate a vulnerability for smoking that may be used as a tailoring variable for just-in-time interventions to support quit attempts.
登录
查看更多内容
影响因子：
7.4
作者：
Dallery J;Cassidy RN;Raiff BR
通讯作者：
Raiff BR
影响因子：
4.8
作者：
Guo，Penghong;Rivera，Daniel E.;Downs，Danielle Symons
通讯作者：
Downs，Danielle Symons
影响因子：
3.4
作者：
Conroy, David E.;Hojjatinia, Sarah;Smyth, Joshua M.
通讯作者：
Smyth, Joshua M.
影响因子：
1.5
作者：
Holtyn, August F.;Bosworth, Eugene;Ghitza, Udi E.
通讯作者：
Ghitza, Udi E.
影响因子：
6.1
作者：
Dumortier, Antoine;Beckjord, Ellen;Sejdic, Ervin
通讯作者：
Sejdic, Ervin