Scheduled for Research Consortium Poster Social: Representative Research in HPERD, Wednesday, March 14, 2007, 4:30 PM - 6:00 PM, Convention Center: Exhibit Hall Poster Area I


Effect of Conditional Feedback by a Pedometer-Based Algorithm on the Amount of Physical Activity

Jin-Oh Lee1, Sang-Jo Kang1, Brian G. Ragan2 and Minsoo Kang3, (1)Korea National Sport University, Seoul, South Korea, (2)University Of Northern Iowa, Cedar Falls, IA, (3)Middle Tennessee State University, Murfreesboro, TN

Minimal contact pedometer-based intervention (MCP) is gaining in popularity because they are non-invasive and inexpensive. Traditionally, MCP is based on self-monitoring by the participants; however, this self-monitoring may be problematic because of inconsistencies among participants. A new type of MCP is based on conditional feedback, which provides the participant information about their performance (current steps/goal) at set times. This is done to increase awareness and allow participants to adjust activities to attain their step goals. Thus, the purpose of this project was to examine the effects a conditional feedback program has compared to traditional methods in sedentary women. A total of 159 sedentary women (Power = .80) were selected and divided into three groups through randomized block design after measuring their average number of steps over 7 days, including the weekend. Group I was provided with conditional feedback after checking the number of steps made every hour from 8 am to 9 pm. Group II received the same hourly checks but no feedback. Group III were asked to achieve the target using nothing but self-monitoring. Participants, for seven consecutive days, had their physical activity measured and were given a step goal of 12,500 steps per day. Contact with the participants was done through their cell phone and text messaging. A 3x2 repeated-measures ANOVA with between-subject factor, treatment (Groups I-III), and within-subject factor, time (pre- and post-test), was used to analyze the data. Follow-up simple effects and contrasts were used for significant findings with the Bonferroni correction. Alpha level was set at .05 a priori. The ANOVA results showed that there was a significant interaction effect (F2,156 = 18.442; p < .001) with a significant simple effect of treatment groups at the post-test (F2,156 = 12.108; p < .001). A follow-up post-hoc testing showed a significant difference between the conditional feedback group and the other groups (mean difference with Group II = 1453.6 and Group III = 1742.6). Post-test mean steps/day for the three groups were Group I = 9018.8 ± 2211.7, Group II = 7565.2 ± 1854.2, and Group III = 7276.2 ± 1767.3. The results clearly show the conditional feedback increased the steps sedentary women walk compared to traditional groups. These results potentially can be used to design more comprehensive pedometer-based physical activity interventions to increase the overall health status of these women. Future research should focus on examining to see if other groups have similar results.
Keyword(s): adult physical activity/fitness, measurement/evaluation, research

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