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The influence of monitoring interval on data measurement: an analysis of step counts of university students
D. Sigmundová, J. Vašíčková, J. Stelzer, E. Repka,
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2004
PubMed Central
od 2005
Europe PubMed Central
od 2005
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2005-01-01
Medline Complete (EBSCOhost)
od 2008-12-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2004
PubMed
23358235
DOI
10.3390/ijerph10020515
Knihovny.cz E-zdroje
- MeSH
- ambulantní monitorování přístrojové vybavení MeSH
- chůze statistika a číselné údaje MeSH
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- regresní analýza MeSH
- sběr dat přístrojové vybavení metody MeSH
- studenti MeSH
- univerzity MeSH
- výzkumný projekt * MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Citace poskytuje Crossref.org
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