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Int. J. Environ. Res. Public Health 2013, 10(2), 515-527; doi:10.3390/ijerph10020515

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

Center for Kinanthropology Research, Institute of Active Lifestyle, Faculty of Physical Culture, Palacky University in Olomouc, Tr. Miru 115, Olomouc 77111, Czech Republic
Department of Kinesiology and Physical Education, Valdosta State University, 1500 N Patterson St., Valdosta, GA 31698, USA
Faculty of Education, University of South Bohemia, Ceske Budejovice, Jeronymova 10, Ceske Budejovice 37115, Czech Republic
Author to whom correspondence should be addressed.
Received: 22 August 2012 / Revised: 4 January 2013 / Accepted: 23 January 2013 / Published: 28 January 2013
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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. View Full-Text
Keywords: reliability; intra-class correlation; pedometer; steps; youth reliability; intra-class correlation; pedometer; steps; youth
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Sigmundová, D.; Vašíčková, J.; Stelzer, J.; Řepka, E. The Influence of Monitoring Interval on Data Measurement: An Analysis of Step Counts of University Students. Int. J. Environ. Res. Public Health 2013, 10, 515-527.

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Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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