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16-09-2017

Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention

Auteurs: Elizabeth V. Korinek, Sayali S. Phatak, Cesar A. Martin, Mohammad T. Freigoun, Daniel E. Rivera, Marc A. Adams, Pedja Klasnja, Matthew P. Buman, Eric B. Hekler

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 1/2018

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Abstract

Adaptive interventions are an emerging class of behavioral interventions that allow for individualized tailoring of intervention components over time to a person’s evolving needs. The purpose of this study was to evaluate an adaptive step goal + reward intervention, grounded in Social Cognitive Theory delivered via a smartphone application (Just Walk), using a mixed modeling approach. Participants (N = 20) were overweight (mean BMI = 33.8 ± 6.82 kg/m2), sedentary adults (90% female) interested in participating in a 14-week walking intervention. All participants received a Fitbit Zip that automatically synced with Just Walk to track daily steps. Step goals and expected points were delivered through the app every morning and were designed using a pseudo-random multisine algorithm that was a function of each participant’s median baseline steps. Self-report measures were also collected each morning and evening via daily surveys administered through the app. The linear mixed effects model showed that, on average, participants significantly increased their daily steps by 2650 (t = 8.25, p < 0.01) from baseline to intervention completion. A non-linear model with a quadratic time variable indicated an inflection point for increasing steps near the midpoint of the intervention and this effect was significant (t2 = −247, t = −5.01, p < 0.001). An adaptive step goal + rewards intervention using a smartphone app appears to be a feasible approach for increasing walking behavior in overweight adults. App satisfaction was high and participants enjoyed receiving variable goals each day. Future mHealth studies should consider the use of adaptive step goals + rewards in conjunction with other intervention components for increasing physical activity.
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Metagegevens
Titel
Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention
Auteurs
Elizabeth V. Korinek
Sayali S. Phatak
Cesar A. Martin
Mohammad T. Freigoun
Daniel E. Rivera
Marc A. Adams
Pedja Klasnja
Matthew P. Buman
Eric B. Hekler
Publicatiedatum
16-09-2017
Uitgeverij
Springer US
Gepubliceerd in
Journal of Behavioral Medicine / Uitgave 1/2018
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI
https://doi.org/10.1007/s10865-017-9878-3