Dynamic models of stress-smoking responses based on high-frequency sensor data

Abstract 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 impr...

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Bibliographic Details
Main Authors: Sahar Hojjatinia, Elyse R. Daly, Timothy Hnat, Syed Monowar Hossain, Santosh Kumar, Constantino M. Lagoa, Inbal Nahum-Shani, Shahin Alan Samiei, Bonnie Spring, David E. Conroy
Format: article
Language:EN
Published: Nature Portfolio 2021
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Online Access:https://doaj.org/article/0ff1c740687e4d37a5624e752e6542da
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