The Influence of Monitoring Interval on Data Measurement: An Analysis of Step Counts of University Students

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ID: 111435
2013
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Abstract
The pedometer is a widely used research tool for measuring the level and extent of physical activity (PA) within population subgroups. The sample used in this study was drawn from a population of university students to examine the influence of the monitoring interval and alternate starting days on step-count activity patterns. The study was part of a national project during 2008–2010. Eligible subjects (641) were selected from a sample of 906 university students. The students wore pedometers continuously for 7 days excluding time for sleep and personal hygiene. Steps per day were logged on record sheets by each student. Data gathering spanned an entire week, and the results were sorted by alternate starting days, by activity for an entire week, by activity for only the weekdays of the one-week monitoring interval and for the two-day weekend. The statistical analysis included ANOVA, intra-class correlation (ICC) analysis, and regression analysis. The ICC analysis suggested that monitoring starting on Monday (ICC = 0.71; 95%CI (0.61–0.79)), Tuesday (ICC = 0.67; 95%CI (0.59–0.75)) or Thursday (ICC = 0.68; 95%CI (0.55–0.79)) improved reliability. The results of regression analysis also indicated that any starting day except Sunday is satisfactory as long as a minimum of four days of monitoring are used.
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sigmundová2013internationalthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dagmar Sigmundová;Jana Vašíčková;Jiří Stelzer;Emil Řepka;Sigmundová, Dagmar;Vašíčková, Jana;Stelzer, Jiří;Řepka, Emil;
Journal International journal of environmental research and public health
Year 2013
DOI
10.3390/ijerph10020515
URL
https://www.mdpi.com/1660-4601/10/2/515/htm
Keywords
youth reliability pedometer intra-class correlation steps

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