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
Related Citations
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
Related Citations
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
Related Citations
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
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