Literature DB >> 34314855

The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol.

Inbal Nahum-Shani1, Lindsey N Potter2, Cho Y Lam2, Jamie Yap3, Alexander Moreno4, Rebecca Stoffel2, Zhenke Wu5, Neng Wan6, Walter Dempsey5, Santosh Kumar7, Emre Ertin8, Susan A Murphy9, James M Rehg4, David W Wetter2.   

Abstract

Smoking is the leading preventable cause of death and disability in the U.S. Empirical evidence suggests that engaging in evidence-based self-regulatory strategies (e.g., behavioral substitution, mindful attention) can improve smokers' ability to resist craving and build self-regulatory skills. However, poor engagement represents a major barrier to maximizing the impact of self-regulatory strategies. This paper describes the protocol for Mobile Assistance for Regulating Smoking (MARS) - a research study designed to inform the development of a mobile health (mHealth) intervention for promoting real-time, real-world engagement in evidence-based self-regulatory strategies. The study will employ a 10-day Micro-Randomized Trial (MRT) enrolling 112 smokers attempting to quit. Utilizing a mobile smoking cessation app, the MRT will randomize each individual multiple times per day to either: (a) no intervention prompt; (b) a prompt recommending brief (low effort) cognitive and/or behavioral self-regulatory strategies; or (c) a prompt recommending more effortful cognitive or mindfulness-based strategies. Prompts will be delivered via push notifications from the MARS mobile app. The goal is to investigate whether, what type of, and under what conditions prompting the individual to engage in self-regulatory strategies increases engagement. The results will build the empirical foundation necessary to develop a mHealth intervention that effectively utilizes intensive longitudinal self-report and sensor-based assessments of emotions, context and other factors to engage an individual in the type of self-regulatory activity that would be most beneficial given their real-time, real-world circumstances. This type of mHealth intervention holds enormous potential to expand the reach and impact of smoking cessation treatments.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Engagement; Micro-randomized trial (MRT); Mobile health (mHealth); Self-regulatory strategies; Smoking cessation

Mesh:

Year:  2021        PMID: 34314855      PMCID: PMC8824313          DOI: 10.1016/j.cct.2021.106513

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  100 in total

1.  Being present and enjoying it: Dispositional mindfulness and savoring the moment are distinct, interactive predictors of positive emotions and psychological health.

Authors:  Laura G Kiken; Kristjen B Lundberg; Barbara L Fredrickson
Journal:  Mindfulness (N Y)       Date:  2017-03-29

2.  The efficient assessment of need for cognition.

Authors:  J T Cacioppo; R E Petty; C F Kao
Journal:  J Pers Assess       Date:  1984-06

Review 3.  Can mindfulness and acceptance be learnt by self-help?: a systematic review and meta-analysis of mindfulness and acceptance-based self-help interventions.

Authors:  Kate Cavanagh; Clara Strauss; Lewis Forder; Fergal Jones
Journal:  Clin Psychol Rev       Date:  2014-01-10

4.  Adolescent first lapse following smoking cessation: situation characteristics, precipitants and proximal influences.

Authors:  Mark G Myers; Chad J Gwaltney; David R Strong; Susan E Ramsey; Richard A Brown; Peter M Monti; Suzanne M Colby
Journal:  Addict Behav       Date:  2011-08-05       Impact factor: 3.913

5.  Affect as a Psychological Primitive.

Authors:  Lisa Feldman Barrett; Eliza Bliss-Moreau
Journal:  Adv Exp Soc Psychol       Date:  2009

6.  A brief measure for assessing generalized anxiety disorder: the GAD-7.

Authors:  Robert L Spitzer; Kurt Kroenke; Janet B W Williams; Bernd Löwe
Journal:  Arch Intern Med       Date:  2006-05-22

7.  Temptations to smoke after quitting: a comparison of lapsers and maintainers.

Authors:  S Shiffman; M Gnys; T J Richards; J A Paty; M Hickcox; J D Kassel
Journal:  Health Psychol       Date:  1996-11       Impact factor: 4.267

8.  What proportion of cancer deaths in the contemporary United States is attributable to cigarette smoking?

Authors:  Eric J Jacobs; Christina C Newton; Brian D Carter; Diane Feskanich; Neal D Freedman; Ross L Prentice; W Dana Flanders
Journal:  Ann Epidemiol       Date:  2014-11-13       Impact factor: 3.797

9.  The secret ingredient in mindfulness interventions? A case for practice quality over quantity.

Authors:  Simon B Goldberg; A C Del Re; William T Hoyt; James M Davis
Journal:  J Couns Psychol       Date:  2014-07

10.  Smoking-attributable mortality, years of potential life lost, and productivity losses--United States, 2000-2004.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2008-11-14       Impact factor: 17.586

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  2 in total

1.  Engagement in digital interventions.

Authors:  Inbal Nahum-Shani; Steven D Shaw; Stephanie M Carpenter; Susan A Murphy; Carolyn Yoon
Journal:  Am Psychol       Date:  2022-03-17

2.  MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions.

Authors:  Inbal Nahum-Shani; John J Dziak; David W Wetter
Journal:  Front Digit Health       Date:  2022-03-09
  2 in total

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