Using Behavioral Analytics to Increase Exercise: A Randomized N-of-1 Study.

ABSTRACT: INTRODUCTION:This intervention study used mobile technologies to investigate whether those randomized to receive a personalized "activity fingerprint" (i.e., a one-time tailored message about personal predictors of exercise developed from 6 months of observational data) increased their physical activity levels relative to those not receiving the fingerprint. STUDY DESIGN:A 12-month randomized intervention study. SETTING/PARTICIPANTS:From 2014 to 2015, 79 intermittent exercisers had their daily physical activity assessed by accelerometry (Fitbit Flex) and daily stress experience, a potential predictor of exercise behavior, was assessed by smartphone. INTERVENTION:Data collected during the first 6 months of observation were used to develop a person-specific "activity fingerprint" (i.e., N-of

SUBMITTER: Yoon S 

PROVIDER: S-EPMC5860951 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature