Literature DB >> 35000693

Adaptive Goals and Reinforcement Timing to Increase Physical Activity in Adults: A Factorial Randomized Trial.

Marc A Adams1, Michael Todd2, Siddhartha S Angadi3, Jane C Hurley4, Chad Stecher4, Vincent Berardi5, Christine B Phillips4, Mindy L McEntee4, Melbourne F Hovell6, Steven P Hooker7.   

Abstract

INTRODUCTION: Potent lifestyle interventions to increase moderate-to-vigorous physical activity are urgently needed for population-level chronic disease prevention. This trial tested the independent and joint effects of a mobile health system automating adaptive goal setting and immediate financial reinforcement for increasing daily walking among insufficiently active adults. STUDY
DESIGN: Participants were randomized into a 2 (adaptive versus static goal setting) X 2 (immediate versus delayed financial incentive timing) condition factorial trial to increase walking. SETTINGS/PARTICIPANTS: Participants (N=512 adults) were recruited between 2016 and 2018 and were 64.5% female, aged 18-60 years, 18.8% Hispanic, 6.1% African American, and 83% White. INTERVENTION: Principles of reinforcement and behavioral economics directed intervention design. MAIN OUTCOME MEASURES: Participants wore accelerometers daily (133,876 day-level observations) that remotely measured moderate-to-vigorous physical activity bout minutes of ≥3 minutes/day for 1 year. Primary outcomes were between-condition differences in (1) engaging ≥1 bout of moderate-to-vigorous physical activity on each day and (2) on days with ≥1 bout, daily total moderate-to-vigorous physical activity minutes.
RESULTS: Mixed-effects hurdle models tested treatment group X phase (time) interactions using an intent-to-treat approach in 2021. Engaging in any ambulatory moderate-to-vigorous physical activity was greater for Adaptive than for Static Goal groups (OR=2.34, 95% CI=2.10, 2.60 vs OR=1.66, 95% CI=1.50, 1.84; p<0.001) and for Immediate than for Static Reinforcement groups (OR=2.16 95% CI=1.94, 2.40 vs OR=1.77, 95% CI=1.59, 1.97; p<0.01). The Immediate Reinforcement group increased by 16.54 moderate-to-vigorous physical activity minutes/day, whereas the Delayed Reinforcement group increased by 9.91 minutes/day (p<0.001). The combined Adaptive Goals + Immediate Reinforcement group increased by 16.52 moderate-to-vigorous physical activity minutes/day, significantly more than that of either Delayed Reinforcement group.
CONCLUSIONS: This study offers automated and scalable-behavior change strategies for increasing walking among adults most at-risk for chronic diseases attributed to sedentary lifestyles. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov (ClinicalTrials.gov Identifier: NCT02717663).
Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2021        PMID: 35000693      PMCID: PMC8820277          DOI: 10.1016/j.amepre.2021.09.014

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  44 in total

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Authors:  Carmen Fiuza-Luces; Nuria Garatachea; Nathan A Berger; Alejandro Lucia
Journal:  Physiology (Bethesda)       Date:  2013-09

2.  Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention.

Authors:  Sayali S Phatak; Mohammad T Freigoun; César A Martín; Daniel E Rivera; Elizabeth V Korinek; Marc A Adams; Matthew P Buman; Predrag Klasnja; Eric B Hekler
Journal:  J Biomed Inform       Date:  2018-02-01       Impact factor: 6.317

3.  Methodologies for optimizing behavioral interventions: introduction to special section.

Authors:  William T Riley; Daniel E Rivera
Journal:  Transl Behav Med       Date:  2014-09       Impact factor: 3.046

4.  The Scientific Foundation for the Physical Activity Guidelines for Americans, 2nd Edition.

Authors:  Kenneth E Powell; Abby C King; David M Buchner; Wayne W Campbell; Loretta DiPietro; Kirk I Erickson; Charles H Hillman; John M Jakicic; Kathleen F Janz; Peter T Katzmarzyk; William E Kraus; Richard F Macko; David X Marquez; Anne McTiernan; Russell R Pate; Linda S Pescatello; Melicia C Whitt-Glover
Journal:  J Phys Act Health       Date:  2018-12-17

Review 5.  Health behavior models in the age of mobile interventions: are our theories up to the task?

Authors:  William T Riley; Daniel E Rivera; Audie A Atienza; Wendy Nilsen; Susannah M Allison; Robin Mermelstein
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

6.  Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans.

Authors:  Jared M Tucker; Gregory J Welk; Nicholas K Beyler
Journal:  Am J Prev Med       Date:  2011-04       Impact factor: 5.043

7.  Reliability of accelerometry-based activity monitors: a generalizability study.

Authors:  Gregory J Welk; Jodee A Schaben; James R Morrow
Journal:  Med Sci Sports Exerc       Date:  2004-09       Impact factor: 5.411

8.  A preliminary study on the impact of a pedometer-based intervention on daily steps.

Authors:  Karen A Croteau
Journal:  Am J Health Promot       Date:  2004 Jan-Feb

9.  A quality-improvement optimization pilot of BariFit, a mobile health intervention to promote physical activity after bariatric surgery.

Authors:  Predrag Klasnja; Dori E Rosenberg; Jing Zhou; Jane Anau; Anirban Gupta; David E Arterburn
Journal:  Transl Behav Med       Date:  2021-03-16       Impact factor: 3.046

10.  Single-case experimental designs to evaluate novel technology-based health interventions.

Authors:  Jesse Dallery; Rachel N Cassidy; Bethany R Raiff
Journal:  J Med Internet Res       Date:  2013-02-08       Impact factor: 5.428

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