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Grant Details

Grant Number: 1R01CA190329-01A1 Interpret this number
Primary Investigator: Wetter, David
Organization: Rice University
Project Title: Socioeconomic Status, Stress, and Smoking Cessation
Fiscal Year: 2015


Abstract

¿ DESCRIPTION (provided by applicant): Smoking is a major cause of health disparities, and socioeconomic status (SES) is strongly associated with lower rates of smoking cessation. Several major conceptual models have been proposed that share a key, common mechanism linking SES to health behaviors such as cessation, noting that the life circumstances associated with low SES lead to greater exposure to stress, which then influences behavior. Unfortunately, the search for effective policies and interventions to reduce smoking among low SES individuals is severely hampered by the paucity of research on the mechanisms underlying cessation in this population. This longitudinal cohort study will examine the influence of SES and social history, contextual and environmental influences, biobehavioral/psychosocial predispositions, and acute momentary precipitants on stress, smoking lapse, and abstinence among 300 smokers attempting to quit. This study is guided by an overarching conceptual framework derived from models of the social determinants of health, social cognitive theories, and prior empirical findings. Participants will be assessed using real-time, field-based, state of the science methodologies consisting of Autosense, ecological momentary assessment (EMA), and geographic positioning system (GPS). Autosense tracks behavioral and physiologic data in real-time and can objectively detect when an individual smokes or encounters a stressor. GPS permits real-time spatial mapping of location patterns, which can be paired with EMA and Autosense data, and with relevant environmental exposures/characteristics (e.g., tobacco outlet exposure; area-level poverty) using geographic information system data. Principal outcomes of interest are lapse and stress ascertained in real time through Autosense, and early and long-term abstinence from smoking. This research would be the first to ever combine objective and dynamic indices of smoking lapse, stress, and key environmental influences in the study of smoking cessation. The comprehensive, multi-method approach is a major advance for the field as it eliminates problems related to an exclusive reliance on self-report for key outcomes and predictors. In addition, this is the first study to include empirically based machine learning approaches to fully mine the voluminous body of data yielded by real time assessment approaches, and to include the framework of dynamic prediction models, a novel statistical approach. The results will inform the tailoring of policies and interventions targeted at reducing the profound smoking-related disparities experienced by low SES individuals.



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
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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
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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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