Literature DB >> 29398067

The use of ambulatory assessment in smoking cessation.

Christine Vinci1, Aaron Haslam2, Cho Y Lam3, Santosh Kumar4, David W Wetter3.   

Abstract

Ambulatory assessment of smoking behavior has greatly advanced our knowledge of the smoking cessation process. The current article first provides a brief overview of ecological momentary assessment for smoking cessation and highlights some of the primary advantages and scientific advancements made from this data collection method. Next, a discussion of how certain data collection tools (i.e., smoking topography and carbon monoxide detection) that have been traditionally used in lab-based settings are now being used to collect data in the real world. The second half of the paper focuses on the use of wearable wireless sensors to collect data during the smoking cessation process. Details regarding how these sensor-based technologies work, their application to newer tobacco products, and their potential to be used as intervention tools are discussed. Specific focus is placed on the opportunity to utilize novel intervention approaches, such as Just-In-Time Adaptive Interventions, to intervene upon smoking behavior. Finally, a discussion of some of the current challenges and limitations related to using sensor-based tools for smoking cessation are presented, along with suggestions for future research in this area.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ambulatory assessment; Smoking cessation; Wearable technology

Mesh:

Year:  2018        PMID: 29398067      PMCID: PMC5964000          DOI: 10.1016/j.addbeh.2018.01.018

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  50 in total

1.  Biochemical verification of tobacco use and cessation.

Authors: 
Journal:  Nicotine Tob Res       Date:  2002-05       Impact factor: 4.244

2.  Working class matters: socioeconomic disadvantage, race/ethnicity, gender, and smoking in NHIS 2000.

Authors:  Elizabeth M Barbeau; Nancy Krieger; Mah-Jabeen Soobader
Journal:  Am J Public Health       Date:  2004-02       Impact factor: 9.308

Review 3.  Conceptualizing analyses of ecological momentary assessment data.

Authors:  Saul Shiffman
Journal:  Nicotine Tob Res       Date:  2013-12-09       Impact factor: 4.244

4.  Validation of the Fitbit One activity monitor device during treadmill walking.

Authors:  Judit Takacs; Courtney L Pollock; Jerrad R Guenther; Mohammadreza Bahar; Christopher Napier; Michael A Hunt
Journal:  J Sci Med Sport       Date:  2013-10-31       Impact factor: 4.319

5.  Changes in puffing behavior among smokers who switched from tobacco to electronic cigarettes.

Authors:  Yong Hee Lee; Michal Gawron; Maciej Lukasz Goniewicz
Journal:  Addict Behav       Date:  2015-04-16       Impact factor: 3.913

6.  Smoking topography in a nonlaboratory environment.

Authors:  D Hatsukami; S F Morgan; R W Pickens; J R Hughes
Journal:  Int J Addict       Date:  1987-08

7.  Comparison of a Commercial Accelerometer with Polysomnography and Actigraphy in Children and Adolescents.

Authors:  Lisa J Meltzer; Laura S Hiruma; Kristin Avis; Hawley Montgomery-Downs; Judith Valentin
Journal:  Sleep       Date:  2015-08-01       Impact factor: 5.849

8.  Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data.

Authors:  Hans C van Houwelingen; Hein Putter
Journal:  Lifetime Data Anal       Date:  2008-10-03       Impact factor: 1.588

9.  A mobile-phone-based breath carbon monoxide meter to detect cigarette smoking.

Authors:  Steven E Meredith; Andrew Robinson; Philip Erb; Claire A Spieler; Noah Klugman; Prabal Dutta; Jesse Dallery
Journal:  Nicotine Tob Res       Date:  2014-01-27       Impact factor: 4.244

10.  Smoking topography in tobacco chippers and dependent smokers.

Authors:  L H Brauer; D Hatsukami; K Hanson; S Shiffman
Journal:  Addict Behav       Date:  1996 Mar-Apr       Impact factor: 3.913

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  9 in total

Review 1.  Cognitive Behavioral and Mindfulness-Based Interventions for Smoking Cessation: a Review of the Recent Literature.

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2.  Tobacco cigarette smokers who endorse greater intolerance for nicotine withdrawal also report more severe insomnia symptoms.

Authors:  Emma C Lape; Lisa R LaRowe; Emily L Zale; Les A Gellis; Aesoon Park; Joseph W Ditre
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3.  Involving stakeholders in the design of ecological momentary assessment research: An example from smoking cessation.

Authors:  Peter D Soyster; Aaron J Fisher
Journal:  PLoS One       Date:  2019-05-22       Impact factor: 3.240

4.  Quantification of Smoking Characteristics Using Smartwatch Technology: Pilot Feasibility Study of New Technology.

Authors:  Casey Anne Cole; Shannon Powers; Rachel L Tomko; Brett Froeliger; Homayoun Valafar
Journal:  JMIR Form Res       Date:  2021-02-05

5.  Augmented Reality for Smoking Cessation: Development and Usability Study.

Authors:  Christine Vinci; Karen O Brandon; Marloes Kleinjan; Laura M Hernandez; Leslie E Sawyer; Jody Haneke; Steven K Sutton; Thomas H Brandon
Journal:  JMIR Mhealth Uhealth       Date:  2020-12-31       Impact factor: 4.773

6.  Characterizing and Modeling Smoking Behavior Using Automatic Smoking Event Detection and Mobile Surveys in Naturalistic Environments: Observational Study.

Authors:  DongHui Zhai; Ruud van Stiphout; Giuseppina Schiavone; Walter De Raedt; Chris Van Hoof
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-18       Impact factor: 4.947

7.  Daily associations among craving, affect, and social interactions in the lives of patients during residential opioid use disorder treatment.

Authors:  Kyler S Knapp; Scott C Bunce; Timothy R Brick; Erin Deneke; H Harrington Cleveland
Journal:  Psychol Addict Behav       Date:  2020-10-22

8.  Contingency management for smoking cessation among individuals with type 2 diabetes: protocol for a multi-center randomized controlled feasibility trial.

Authors:  Sydney A Martinez; Samantha L Quaife; Afsheen Hasan; Kathryn A McMillan; Laura A Beebe; Fiona Muirhead
Journal:  Pilot Feasibility Stud       Date:  2020-06-11

9.  Cigarette Smoking Detection with An Inertial Sensor and A Smart Lighter.

Authors:  Volkan Senyurek; Masudul Imtiaz; Prajakta Belsare; Stephen Tiffany; Edward Sazonov
Journal:  Sensors (Basel)       Date:  2019-01-29       Impact factor: 3.576

  9 in total

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