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Randomized Controlled Trial
. 2017 Mar 29;17(1):286.
doi: 10.1186/s12889-017-4197-8.

Adaptive goal setting and financial incentives: a 2 × 2 factorial randomized controlled trial to increase adults' physical activity

Affiliations
Randomized Controlled Trial

Adaptive goal setting and financial incentives: a 2 × 2 factorial randomized controlled trial to increase adults' physical activity

Marc A Adams et al. BMC Public Health. .

Erratum in

Abstract

Background: Emerging interventions that rely on and harness variability in behavior to adapt to individual performance over time may outperform interventions that prescribe static goals (e.g., 10,000 steps/day). The purpose of this factorial trial was to compare adaptive vs. static goal setting and immediate vs. delayed, non-contingent financial rewards for increasing free-living physical activity (PA).

Methods: A 4-month 2 × 2 factorial randomized controlled trial tested main effects for goal setting (adaptive vs. static goals) and rewards (immediate vs. delayed) and interactions between factors to increase steps/day as measured by a Fitbit Zip. Moderate-to-vigorous PA (MVPA) minutes/day was examined as a secondary outcome.

Results: Participants (N = 96) were mainly female (77%), aged 41 ± 9.5 years, and all were insufficiently active and overweight/obese (mean BMI = 34.1 ± 6.2). Participants across all groups increased by 2389 steps/day on average from baseline to intervention phase (p < .001). Participants receiving static goals showed a stronger increase in steps per day from baseline phase to intervention phase (2630 steps/day) than those receiving adaptive goals (2149 steps/day; difference = 482 steps/day, p = .095). Participants receiving immediate rewards showed stronger improvement (2762 step/day increase) from baseline to intervention phase than those receiving delayed rewards (2016 steps/day increase; difference = 746 steps/day, p = .009). However, the adaptive goals group showed a slower decrease in steps/day from the beginning of the intervention phase to the end of the intervention phase (i.e. less than half the rate) compared to the static goals group (-7.7 steps vs. -18.3 steps each day; difference = 10.7 steps/day, p < .001) resulting in better improvements for the adaptive goals group by study end. Rate of change over the intervention phase did not differ between reward groups. Significant goal phase x goal setting x reward interactions were observed.

Conclusions: Adaptive goals outperformed static goals (i.e., 10,000 steps) over a 4-month period. Small immediate rewards outperformed larger, delayed rewards. Adaptive goals with either immediate or delayed rewards should be preferred for promoting PA.

Trial registration: ClinicalTrials.gov ID: NCT02053259 registered prospectively on January 31, 2014.

Keywords: Adaptive interventions; Fitbit; Goals; Pedometer; Reward; Text messaging; mHealth.

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Figures

Fig. 1
Fig. 1
Illustration of the 2 × 2 factorial design for WalkIT with goal setting and reward type factors
Fig. 2
Fig. 2
CONSORT Diagram for WalkIT
Fig. 3
Fig. 3
Main effects (N = 96) for steps/day by goal type (upper panel) and reward type (lower panel)
Fig. 4
Fig. 4
Average change in steps/day by group type and reward type interactions (N = 96)
Fig. 5
Fig. 5
Main effects (N = 96) for MVPA minutes/day by goal type (upper panel) and reward type (lower panel)
Fig. 6
Fig. 6
Average change in MVPA minutes/day by group type and reward type interactions (N = 96)

References

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