Academic journal article Research Quarterly for Exercise and Sport

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

Academic journal article Research Quarterly for Exercise and Sport

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

Article excerpt

Minimal contact pedometer-based intervention (MCP) is gaining in popularity because they are noninvasive 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 a.m. to 9 p.m. 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 3 x 2 repeated-measures analysis of variance (ANOVA) with between-subject factor, treatment (Groups I-III), and within-subject factor, time (pre- and posttest), was used to analyze the data. …

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