Literature DB >> 33029578

Variable Magnitude and Frequency Financial Reinforcement is Effective at Increasing Adults' Free-Living Physical Activity.

Vincent Berardi1, Melbourne Hovell2, Jane C Hurley3, Christine B Phillips3, John Bellettiere4, Michael Todd5, Marc A Adams3.   

Abstract

Financial rewards can increase health behaviors, but little research has quantified the effects of different reinforcement schedules on this process. This analysis compares the average moderate-to-vigorous physical activity (MVPA) associated with six distinct positive reinforcement schedules implemented within a physical activity promotion clinical trial. In this trial, participants (N = 512) wore an accelerometer for 1 year and were prescribed one of two types of MVPA goals: a static 30-min goal or an adaptive goal based on the MVPA produced over the previous 9 days. As participants met goals, they transitioned through a sequence of reinforcement stages, beginning with a continuous-fixed magnitude (CRF-FM), then CRF-variable magnitude (CRF-VM), followed by a series of variable ratio-VM (VR-VM) schedules. The average accumulation of MVPA bouts over the last 24 days of each stage was compared to each other. Average MVPA during stage transitions was also examined. The results indicated that immediate reinforcement resulted in more MVPA relative to a comparison group and that the relative effectiveness of adaptive versus static goals was dependent on the magnitude of daily MVPA goals. Schedule effects were qualitatively different for individuals who frequently met their daily goals (Large Intervention Effect subgroup) versus those who did not (Small Intervention Effect subgroup). For the Large Intervention Effect group, the CRF-VM schedule produced the most MVPA, in particular within the adaptive goal condition, with increases observed immediately upon encountering this schedule. In contrast, the CRF-FM schedule produced small amounts of MVPA. This pattern was reversed for the Small Intervention Effect subgroup, where the most MVPA was associated with the CRF-FM stage. Future interventions should focus on discriminating small versus large intervention effects as quickly as possible so that the optimal reinforcement schedule can be used. © Association for Behavior Analysis International 2020, corrected publication 2020.

Entities:  

Keywords:  Adaptive goals accelerometer; Health technology; Physical activity promotion; Reinforcement schedules

Year:  2020        PMID: 33029578      PMCID: PMC7490290          DOI: 10.1007/s40614-019-00241-y

Source DB:  PubMed          Journal:  Perspect Behav Sci        ISSN: 2520-8969


  34 in total

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3.  The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions.

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Journal:  Am J Prev Med       Date:  2007-05       Impact factor: 5.043

4.  Resistance to extinction of a running response following partial reinforcement under widely spaced trials.

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Authors:  Alex V Rowlands; Sjaan R Gomersall; Catrine Tudor-Locke; David R Bassett; Minsoo Kang; François Fraysse; Barbara Ainsworth; Tim S Olds
Journal:  J Sports Sci       Date:  2014-10-21       Impact factor: 3.337

6.  Rationale, design, and baseline characteristics of WalkIT Arizona: A factorial randomized trial testing adaptive goals and financial reinforcement to increase walking across higher and lower walkable neighborhoods.

Authors:  Marc A Adams; Jane C Hurley; Christine B Phillips; Michael Todd; Siddhartha S Angadi; Vincent Berardi; Melbourne F Hovell; Steven Hooker
Journal:  Contemp Clin Trials       Date:  2019-05-04       Impact factor: 2.226

7.  Effects of a variable-ratio reinforcement schedule with changing criteria on exercise in obese and nonobese boys.

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Journal:  J Appl Behav Anal       Date:  1992

8.  The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

Authors:  Susan Michie; Michelle Richardson; Marie Johnston; Charles Abraham; Jill Francis; Wendy Hardeman; Martin P Eccles; James Cane; Caroline E Wood
Journal:  Ann Behav Med       Date:  2013-08

9.  Acceptability of Financial Incentives for Health Behaviours: A Discrete Choice Experiment.

Authors:  Emma L Giles; Frauke Becker; Laura Ternent; Falko F Sniehotta; Elaine McColl; Jean Adams
Journal:  PLoS One       Date:  2016-06-17       Impact factor: 3.240

Review 10.  A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies.

Authors:  Sterling M McPherson; Ekaterina Burduli; Crystal Lederhos Smith; Jalene Herron; Oladunni Oluwoye; Katherine Hirchak; Michael F Orr; Michael G McDonell; John M Roll
Journal:  Subst Abuse Rehabil       Date:  2018-08-13
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  1 in total

1.  A behavioral economic demand analysis of mothers' decision to exclusively breastfeed in the workplace.

Authors:  Yusuke Hayashi; Nicole M Fisher; Donald A Hantula; Lydia Furman; Yukiko Washio
Journal:  J Exp Anal Behav       Date:  2022-05-24       Impact factor: 2.215

  1 in total

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