Assessing the accuracy of common methods used in measuring physical activity with pedometers Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/hm50tv57q

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  • Monitoring physical activity has been a dominant topic of research for many years. Being physically active has been shown to decrease health related issues, including obesity, cardiovascular disease, and even premature death. Multiple researchers have studied monitoring physical activity, but the actual method of measuring physical activity in a free-living condition has not gotten much attention. The purpose of this study was to examine the accuracy of pedometers when employing the common instructions of pedometer wearing time. This study focused on three questions: a. What percent of time would participants wear pedometers following the popular method of wearing pedometers during participant's awake time? b. Were missing data affected by certain individual characteristics? c. What were the effects on compliance when using a physical activity log? Method: The study at hand was a blind study; the participants were not privy to the specific research questions, to avoid potential reactivity. 17 individuals (6 males, 11 females) from the Pacific Northwest were recruited and then randomly selected into either the experimental or the control group. Participants were equipped with one Actical® accelerometer on their wrist. They were also given a belt with one Actical® accelerometer and one Omron 720-ITC pedometer. The experimental group received a pedometer log to measure wear time; the control group did not. Participants wore these devices for seven days to monitor physical activity and missed wearing time. Missed wearing time was determined by comparing counts on both accelerometers. Results: Participants missed a mean amount of 111.76 minutes per day. Participants wore their pedometers for a mean of 14.26 hours per day. BMI, gender, group, and levels of physical activity were examined for potential effects on missing data. A multiple regression indicated a significant negative relationship between level of physical activity and missing data, (β = -0.61, p<0.01). Although Pedometer logs have the potential to decrease missed physical activity measurement by a pedometer, a one-way ANOVA showed there were no statistical differences between the control and experimental group, F(1,15)=0.186 p>0.05. People who are more physically active have the potential to be more compliant about wearing his or her pedometer.
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