Literature DB >> 10589866

Intraindividual variability and reliability in a 7-day exercise record.

T Baranowski1, M Smith, W O Thompson, J Baranowski, D Hebert, C de Moor.   

Abstract

PURPOSE: High levels of day-to-day or intraindividual variability implies unreliability of a measure of physical activity. Unreliability in a measure leads to attenuation of correlations with other variables. As intraindividual variability increases, the number of days necessary to assess physical activity to achieve the desired level of reliability increases. The use of an intraclass correlation to assess day-to-day reliability in a measure assumes compound symmetry.
METHODS: This study reports on these issues in a sample of 165 elementary school teachers who maintained a 7-d record of physical activity each year for 3 yr. Analyses were conduced with physical activity measured as minutes, MET minutes, and kcal. Analyses were conducted with PROC MIXED in SAS controlling for the clustering effect by school.
RESULTS: Compound symmetry could not be supported across 7 d of the record. The weekdays tended to intercorrelate, Saturday correlated at very low levels, and Sunday correlated with Monday only. Compound symmetry was supported across the three weeks.
CONCLUSIONS: To achieve a reliability of 0.8 using a 7-d activity record requires 2 wk of assessment. The reliability of measures of physical activity require more careful attention, and likely require more points of assessment to achieve desired levels.

Mesh:

Year:  1999        PMID: 10589866     DOI: 10.1097/00005768-199911000-00019

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  8 in total

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2.  Rural Versus Urban Comparison: Physical Activity and Functioning Following Coronary Artery Bypass Surgery.

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Journal:  Online J Rural Nurs Health Care       Date:  2012

3.  Effect of supervised and home exercise training on bone mineral density among breast cancer patients. A 12-month randomised controlled trial.

Authors:  T Saarto; H Sievänen; P Kellokumpu-Lehtinen; R Nikander; L Vehmanen; R Huovinen; H Kautiainen; S Järvenpää; H M Penttinen; M Utriainen; A S Jääskeläinen; A Elme; J Ruohola; T Palva; H Vertio; M Rautalahti; M Fogelholm; R Luoto; C Blomqvist
Journal:  Osteoporos Int       Date:  2011-09-03       Impact factor: 4.507

4.  How many days was that? We're still not sure, but we're asking the question better!

Authors:  Tom Baranowski; Louise C Mâsse; Brian Ragan; Greg Welk
Journal:  Med Sci Sports Exerc       Date:  2008-07       Impact factor: 5.411

5.  Relationships between fatigue and early postoperative recovery outcomes over time in elderly patients undergoing coronary artery bypass graft surgery.

Authors:  Susan Barnason; Lani Zimmerman; Janet Nieveen; Paula Schulz; Connie Miller; Melody Hertzog; Doris Rasmussen
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6.  Relationship between objective measures of physical activity and weather: a longitudinal study.

Authors:  Catherine B Chan; Daniel A J Ryan; Catrine Tudor-Locke
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Review 7.  Accelerometer measurement of upper extremity movement after stroke: a systematic review of clinical studies.

Authors:  Marika Noorkõiv; Helen Rodgers; Christopher I Price
Journal:  J Neuroeng Rehabil       Date:  2014-10-09       Impact factor: 4.262

8.  The influence of monitoring interval on data measurement: an analysis of step counts of university students.

Authors:  Dagmar Sigmundová; Jana Vašíčková; Jiří Stelzer; Emil Repka
Journal:  Int J Environ Res Public Health       Date:  2013-01-28       Impact factor: 3.390

  8 in total

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