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Open Access Trajectories and Predictors of Steps in a Worksite Intervention: ASUKI-Step

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Objectives: We evaluated the trajectory of steps over time, success in walking 10,000 steps/day for 100 days, and socio-demographic predictors of success in a pedometer-based intervention (ASUKI-Step). Methods A single-group, pre-post quasi-experimental design was used. Participants were university employees in Arizona (N = 712) and Sweden (N = 1390). Linear growth models and logistic regression were used to assess the trajectories of change in steps and the predictors of meeting the step standard, respectively. Results: Linear and curvilinear changes in steps occurred over time with individual variation in the trajectories of change (p < .01). Half of the participants (52.9%) accumulated 10,000 steps for 100 days. No changes were observed for accelerometer-derived minutes of activity. Conclusions: Individually tailoring pedometer-based interventions may enhance success.


Document Type: Research Article

Affiliations: School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ, USA

Publication date: January 1, 2015

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