Measurement considerations of peak stepping cadence measures using national health and nutrition examination survey 2005-2006

Minsoo Kang, Youngdeok Kim, David A. Rowe

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: This study examined the optimal measurement conditions to obtain reliable peak cadence measures using the accelerometerdetermined step data from the National Health and Nutrition Examination Survey 2005-2006. Methods: A total of 1282 adults (> 17 years) who provided valid accelerometer data for 7 consecutive days were included. The peak 1-and 30-minute cadences were extracted. The sources of variance in peak stepping cadences were estimated using Generalizability theory analysis. A simulation analysis was conducted to examine the effect of the inclusion of weekend days. The optimal number of monitoring days to achieve 80% reliability for peak stepping cadences were estimated. Results: Intraindividual variability was the largest variance component of peak cadences for young and middle-aged adults aged < 60 years (50.55%-59.24%) compared with older adults aged < 60 years (31.62%-41.72%). In general, the minimum of 7 and 5 days of monitoring were required for peak 1-and 30-minute cadences among young and middle-aged adults, respectively, whereas 3 days of monitoring was sufficient for older adults to achieve the desired reliability (0.80). The inclusion of weekend days in the monitoring frame may not be practically important. Conclusions: The findings could be applied in future research as the reference measurement conditions for peak cadences.

LanguageEnglish
Pages44-52
Number of pages9
JournalJournal of Physical Activity and Health
Volume13
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016

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Nutrition Surveys

Keywords

  • generalizability theory
  • step counts
  • variability
  • measurement

Cite this

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abstract = "Background: This study examined the optimal measurement conditions to obtain reliable peak cadence measures using the accelerometerdetermined step data from the National Health and Nutrition Examination Survey 2005-2006. Methods: A total of 1282 adults (> 17 years) who provided valid accelerometer data for 7 consecutive days were included. The peak 1-and 30-minute cadences were extracted. The sources of variance in peak stepping cadences were estimated using Generalizability theory analysis. A simulation analysis was conducted to examine the effect of the inclusion of weekend days. The optimal number of monitoring days to achieve 80{\%} reliability for peak stepping cadences were estimated. Results: Intraindividual variability was the largest variance component of peak cadences for young and middle-aged adults aged < 60 years (50.55{\%}-59.24{\%}) compared with older adults aged < 60 years (31.62{\%}-41.72{\%}). In general, the minimum of 7 and 5 days of monitoring were required for peak 1-and 30-minute cadences among young and middle-aged adults, respectively, whereas 3 days of monitoring was sufficient for older adults to achieve the desired reliability (0.80). The inclusion of weekend days in the monitoring frame may not be practically important. Conclusions: The findings could be applied in future research as the reference measurement conditions for peak cadences.",
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Measurement considerations of peak stepping cadence measures using national health and nutrition examination survey 2005-2006. / Kang, Minsoo; Kim, Youngdeok; Rowe, David A.

In: Journal of Physical Activity and Health, Vol. 13, No. 1, 01.01.2016, p. 44-52.

Research output: Contribution to journalArticle

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