Assessment and Adjustment of Body Weight Measures in Scanner Data

Sabrina K. Young, Elina T. Page, Abigail Okrent and Megan Sweitzer

No 338949, Technical Bulletins from United States Department of Agriculture, Economic Research Service

Abstract: Household scanner data are a rich resource for understanding food purchasing habits in the United States. The IRI Consumer Network provides a detailed account of the retail food purchases for a large, nationally representative sample. These data further include self-reported height and weight for a subset of households that complete the MedProfiler survey. Together, the Consumer Network and MedProfiler surveys provide a unique opportunity to study the relationship between diet and obesity. This report includes an assessment of the MedProfiler height and weight data in determining body mass index (BMI) for children and adults, using MedProfiler data from 2012 to 2018 and National Health and Nutrition Examination Survey data from 2011–2012 to 2017–2018. In addition, because self-reported height and weight may often be misreported in survey data, the report explores adjustment methods to account for any self-reporting measurement bias. Finally, since food-purchase data are collected at the household level, the report includes a comparison of methods for defining the obesity status of a household.

Keywords: Food Consumption/Nutrition/Food Safety; Health Economics and Policy; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 40
Date: 2023-06
New Economics Papers: this item is included in nep-agr
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Persistent link: https://EconPapers.repec.org/RePEc:ags:uerstb:338949

DOI: 10.22004/ag.econ.338949

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