Evaluating Active U: an internet-mediated physical activity program

被引:28
作者
Buis, Lorraine R. [2 ]
Poulton, Timothy A.
Holleman, Robert G. [1 ]
Sen, Ananda [3 ]
Resnick, Paul J. [4 ,5 ]
Goodrich, David E. [1 ]
Palma-Davis, LaVaughn [6 ]
Richardson, Caroline R. [1 ,7 ]
机构
[1] Univ Michigan, Sch Med, Dept Family Med, Ann Arbor, MI 48104 USA
[2] Wayne State Univ, Coll Nursing, Detroit, MI 48202 USA
[3] HSR&D SMITRECH 11H, Ctr Clin Management Res, Vet Affairs Med Ctr, Ann Arbor, MI 48113 USA
[4] Ctr Stat Consultat & Res CSCAR, Ann Arbor, MI 48104 USA
[5] Dept Stat, Ann Arbor, MI 48104 USA
[6] Univ Michigan, Sch Informat, Ann Arbor, MI 48104 USA
[7] Univ Michigan, Hlth & Well Being Serv, MWorks & MFit, Ann Arbor, MI 48104 USA
关键词
BEHAVIOR-CHANGE INTERVENTIONS; CARDIOVASCULAR-DISEASE; LIFE-STYLE; MANAGEMENT PROGRAM; RANDOMIZED-TRIAL; WEIGHT-LOSS; PREVENTION; WALKING; MORTALITY; EXERCISE;
D O I
10.1186/1471-2458-9-331
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Engaging in regular physical activity can be challenging, particularly during the winter months. To promote physical activity at the University of Michigan during the winter months, an eight-week Internet-mediated program (Active U) was developed providing participants with an online physical activity log, goal setting, motivational emails, and optional team participation and competition. Methods: This study is a program evaluation of Active U. Approximately 47,000 faculty, staff, and graduate students were invited to participate in the online Active U intervention in the winter of 2007. Participants were assigned a physical activity goal and were asked to record each physical activity episode into the activity log for eight weeks. Statistics for program reach, effectiveness, adoption, and implementation were calculated using the Re-Aim framework. Multilevel regression analyses were used to assess the decline in rates of data entry and goal attainment during the program, to assess the likelihood of joining a team by demographic characteristics, to test the association between various predictors and the number of weeks an individual met his or her goal, and to analyze server load. Results: Overall, 7,483 individuals registered with the Active U website (approximate to 16% of eligible), and 79% participated in the program by logging valid data at least once. Staff members, older participants, and those with a BMI < 25 were more likely to meet their weekly physical activity goals, and average rate of meeting goals was higher among participants who joined a competitive team compared to those who participated individually (IRR = 1.28, P < .001). Conclusion: Internet-mediated physical activity interventions that focus on physical activity logging and goal setting while incorporating team competition may help a significant percentage of the target population maintain their physical activity during the winter months.
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页数:13
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