Predicting Objective Physical Activity from Self-Report Surveys: A Model Validation Study Using Estimated Generalized Least-Squares Regression

Physical activity measurements derived from self-report surveys are prone to measurement errors. Monitoring devices like accelerometers offer more objective measurements of physical activity, but are impractical for use in large-scale surveys. A model capable of predicting objective measurements of physical activity from self-reports would offer a practical alternative to obtaining measurements directly from monitoring devices.

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Year of publication:	2014-11-19
Authors:	Beyler, Nicholas ; Fuller, Wayne ; Nusser, Sarah ; Welk, Gregory
Institutions:	Mathematica Policy Research
Subject:	estimated generalized least squares \| NHANES \| physical activity \| accelerometry \| validation study

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Extent:	text/html
Series:	Mathematica Policy Research Reports.
Type of publication:	Book / Working Paper
Classification:	C - Mathematical and Quantitative Methods
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011102407