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Grant Details

Grant Number: 7R01CA190329-03 Interpret this number
Primary Investigator: Wetter, David
Organization: University Of Utah
Project Title: Socioeconomic Status, Stress, and Smoking Cessation
Fiscal Year: 2017


Abstract

PROJECT SUMMARY/ABSTRACT The prevalence of electronic nicotine delivery systems (ENDS) is rising dramatically among both adults and youth and ENDS use is fast becoming a major public health issue. However, because of their recent emergence, researchers know little about ENDS, their use, their effects on human physiology and health, their risks and benefits, or their impact on tobacco control efforts. A common barrier to studying ENDS is the lack of data on objective, real world use of ENDS. Thus, the proposed project aims to adapt existing innovative mobile assessment tools that can be used to target critical ENDS research gaps by providing mobile sensing technology that can objectively collect precise data regarding ENDS use in real time in real world. Specifically, the proposed revision project will expand the scope of Project On Track (1R01CA190329-01A1, PI: Wetter) by extending the application of puffMarker, an existing tool that automatically detects smoking, for the assessment of ENDS use. The current project has three aims: 1) adapt and validate puffMarker to identify discrete episodes of ENDS use, 2) adapt and validate puffMarker to distinguish between cigarette smoking and ENDS use among dual users of ENDS and cigarettes, and 3) utilize the Project On Track protocol to collect real time, real world data investigating potential determinants of ENDS use among both exclusive ENDS users as well as dual users of cigarettes and ENDS. Altogether, 120 participants (30 for Aim 1, 30 for Aim 2, and 60 for Aim 3) will be enrolled. Participants recruited for Aims 1 and 2 will attend laboratory (three 2-hour sessions) and field (3 days) studies. In the laboratory sessions, participants will wear the AutoSense wireless sensors and be asked to use ENDS (Aim 1) or use ENDS and smoke a cigarette (Aim 2). Participants' ENDS and cigarette puffs will be recorded by an independent observer. In the field studies, participants will wear the AutoSense wireless sensors and be asked to use ENDS (Aim 1) or use ENDS and smoke cigarettes (Aim 2). Participants will be asked to record each instance of ENDS use or cigarette smoking on a SP. The goals of the laboratory studies are to collect data to train puffMarker to identify ENDS use and to distinguish between cigarette smoking and ENDS use. The goal of the field studies is to validate puffMarker in real-life, natural environments. Aim 3 will utilize the Project On Track protocol to collect the first real time, real world data on ENDS and dual use. Participants will be assessed for 6 days using AutoSense, EMA, and GPS to examine potential determinants of ENDS use. A validated puffMarker that detects ENDS use and distinguishes between ENDS use and smoking can enhance many areas of research inquiry on ENDS. Knowledge learned from Aim 3 will be essential for the development of comprehensive conceptual models with respect to ENDS use and smoking cessation.



Publications

mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels.
Authors: Ullah M.A. , Chatterjee S. , Fagundes C.P. , Lam C. , Nahum-Shani I. , Rehg J.M. , Wetter D.W. , Kumar S. .
Source: Proceedings Of The Acm On Interactive, Mobile, Wearable And Ubiquitous Technologies, 2022 Sep; 6(3), .
EPub date: 2022-09-07 00:00:00.0.
PMID: 36873428
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mTeeth: Identifying Brushing Teeth Surfaces Using Wrist-Worn Inertial Sensors.
Authors: Akther S. , Saleheen N. , Saha M. , Shetty V. , Kumar S. .
Source: Proceedings Of The Acm On Interactive, Mobile, Wearable And Ubiquitous Technologies, 2021 Jun; 5(2), .
EPub date: 2021-06-24 00:00:00.0.
PMID: 35309968
Related Citations

Automated Detection of Stressful Conversations Using Wearable Physiological and Inertial Sensors.
Authors: Bari R. , Rahman M.M. , Saleheen N. , Parsons M.B. , Buder E.H. , Kumar S. .
Source: Proceedings Of The Acm On Interactive, Mobile, Wearable And Ubiquitous Technologies, 2020 Dec; 4(4), .
PMID: 34099995
Related Citations

A Robust Functional EM Algorithm for Incomplete Panel Count Data.
Authors: Moreno A. , Wu Z. , Yap J. , Lam C. , Wetter D.W. , Nahum-Shani I. , Dempsey W. , Rehg J.M. .
Source: Advances In Neural Information Processing Systems, 2020 Dec; 33, p. 19828-19838.
PMID: 34103881
Related Citations

SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors.
Authors: Chatterjee S. , Moreno A. , Lizotte S.L. , Akther S. , Ertin E. , Fagundes C.P. , Lam C. , Rehg J.M. , Wan N. , Wetter D.W. , et al. .
Source: Proceedings Of The Acm On Interactive, Mobile, Wearable And Ubiquitous Technologies, 2020 Mar; 4(1), .
EPub date: 2020-03-18 00:00:00.0.
PMID: 34651096
Related Citations

The use of ambulatory assessment in smoking cessation.
Authors: Vinci C. , Haslam A. , Lam C.Y. , Kumar S. , Wetter D.W. .
Source: Addictive Behaviors, 2018 Aug; 83, p. 18-24.
EPub date: 2018-02-03 00:00:00.0.
PMID: 29398067
Related Citations

rConverse: Moment by Moment Conversation Detection Using a Mobile Respiration Sensor.
Authors: Bari R. , Adams R.J. , Rahman M. , Parsons M.B. , Buder E.H. , Kumar S. .
Source: Proceedings Of The Acm On Interactive, Mobile, Wearable And Ubiquitous Technologies, 2018 Mar; 2(1), .
PMID: 30417165
Related Citations

mCerebrum: A Mobile Sensing Software Platform for Development and Validation of Digital Biomarkers and Interventions.
Authors: Hossain S.M. , Hnat T. , Saleheen N. , Nasrin N.J. , Noor J. , Ho B.J. , Condie T. , Srivastava M. , Kumar S. .
Source: Proceedings Of The ... International Conference On Embedded Networked Sensor Systems. International Conference On Embedded Networked Sensor Systems, 2017 Nov; 2017, .
PMID: 30288504
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Mcrave: Continuous Estimation Of Craving During Smoking Cessation
Authors: Chatterjee S. , Hovsepian K. , Sarker H. , Saleheen N. , al'Absi M. , Atluri G. , Ertin E. , Lam C. , Lemieux A. , Nakajima M. , et al. .
Source: Proceedings Of The ... Acm International Conference On Ubiquitous Computing . Ubicomp (conference), 2016 Sep; 2016, p. 863-874.
PMID: 27990501
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mSieve: Differential Behavioral Privacy in Time Series of Mobile Sensor Data.
Authors: Saleheen N. , Chakraborty S. , Ali N. , Mahbubur Rahman M. , Hossain S.M. , Bari R. , Buder E. , Srivastava M. , Kumar S. .
Source: Proceedings Of The ... Acm International Conference On Ubiquitous Computing . Ubicomp (conference), 2016 Sep; 2016, p. 706-717.
PMID: 28058408
Related Citations

Hierarchical Span-based Conditional Random Fields For Labeling And Segmenting Events In Wearable Sensor Data Streams
Authors: Adams R.J. , Saleheen N. , Thomaz E. , Parate A. , Kumar S. , Marlin B.M. .
Source: Proceedings Of The ... International Conference On Machine Learning. International Conference On Machine Learning, 2016 Jun; 48, p. 334-343.
PMID: 28090606
Related Citations



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