OBJECTIVE: Most Americans do not meet physical activity recommendations. Statewide campaigns can effectively increase activity levels. Reported herein are physical activity outcomes from Shape Up Rhode Island (SURI) 2007, a statewide campaign to increase steps through team-based competition. Given the importance of social networks in behavior change, this paper focused on the effects of team and team characteristics on activity outcomes. METHOD: For 16weeks, 5333 adults comprising 652 teams wore pedometers and reported their steps online. RESULTS: Participants' daily steps increased from 7029(3915) at baseline to 9393(5976) at SURI end (p<0.001). There was a significant intraclass correlation for step change among team members (ICC=0.09); thus, an individual's change in steps was influenced by what team they were on. Moreover, baseline team characteristics predicted individual step change; being on a more active team was associated with greater increases in activity for individual members (p<0.001), whereas being on a team with a broad range of steps was associated with smaller changes in activity for individual members (p=0.02). CONCLUSION: These findings are the first to suggest that team members influence individual activity outcomes in team-based statewide campaigns. Future research should explore ways to use social network factors to enhance team-based physical activity programs. Copyright 2010 The Institute For Cancer Prevention. Published by Elsevier Inc. All rights reserved.
OBJECTIVE: Most Americans do not meet physical activity recommendations. Statewide campaigns can effectively increase activity levels. Reported herein are physical activity outcomes from Shape Up Rhode Island (SURI) 2007, a statewide campaign to increase steps through team-based competition. Given the importance of social networks in behavior change, this paper focused on the effects of team and team characteristics on activity outcomes. METHOD: For 16weeks, 5333 adults comprising 652 teams wore pedometers and reported their steps online. RESULTS:Participants' daily steps increased from 7029(3915) at baseline to 9393(5976) at SURI end (p<0.001). There was a significant intraclass correlation for step change among team members (ICC=0.09); thus, an individual's change in steps was influenced by what team they were on. Moreover, baseline team characteristics predicted individual step change; being on a more active team was associated with greater increases in activity for individual members (p<0.001), whereas being on a team with a broad range of steps was associated with smaller changes in activity for individual members (p=0.02). CONCLUSION: These findings are the first to suggest that team members influence individual activity outcomes in team-based statewide campaigns. Future research should explore ways to use social network factors to enhance team-based physical activity programs. Copyright 2010 The Institute For Cancer Prevention. Published by Elsevier Inc. All rights reserved.
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