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Activity Number:
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365
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304213 |
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Title:
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Measurement Error Models for Physical Activity Measures
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Author(s):
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Nicholas K. Beyler*+ and Sarah Nusser and Alicia L. Carriquiry and Gregory Welk and Wayne Fuller
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Companies:
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Iowa State University and Iowa State University and Iowa State University and Iowa State University and Iowa State University
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Address:
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, Ames, IA, 50011,
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Keywords:
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Measurement error models ; Physical activity ; Energy expenditure
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Abstract:
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Large-scale surveys have relied on self-reported physical activity (PA) recall data to obtain information on energy expenditure (EE) and time spent in moderate to vigorous PA (MVPA). Because recall data are prone to measurement error, it may be possible to obtain better estimates of PA distributions if data from an objective reference measure are available on a portion of the sample. We will investigate the utility of this approach with a survey to collect PA data from a random sample of adults. Data will be obtained from two 24-hour PA recalls and from sophisticated armband monitors worn during the recall periods. We will investigate measurement error models for EE and MVPA using pilot data. PA models will be adapted from approaches developed for dietary components that are consumed daily and episodically.
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