Assessment and Adjustment of Body Weight Measures in Scanner Data

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英文名称：

Assessment and Adjustment of Body Weight Measures in Scanner Data

作者：

Sabrina Young; Elina T. Page; Abigail Okrent; Megan Sweitzer;

来源地址：

https://www.ers.usda.gov/api/publications/v1.0?page=4&items_per_page=20&sort_by=releaseDate&sort_order=DESC&series=AP%2CCCR%2CEB%2CEIB%2CERR%2CTB

关键词：

IRI;  Consumer Network;  MedProfiler;  body mass;  BMI;  obesity;  scanner data;  food expenditures;  self-reporting bias;  measurement bias; 

年份：

2023

出版地：

Washington, DC, USA

总页数：

40

语种：

English

摘要：

ERS compares use of self-reported height and weight data available in scanner data with measured height and weight data to calculate body mass index (BMI) of household members and identifies methods for adjusting self-reported data to improve accuracy. The report also includes a comparison of methods for defining the obesity status of a household.strongHow to Cite:\/strongYoung, S., Page, E. T., Okrent, A., Sweitzer, M. (2023). iAssessment and adjustment of body weight measures in scanner data\/i (Report No. TB-1960). U.S. Department of Agriculture, Economic Research Service. a href=https:\/\/search.nal.usda.gov\/discovery\/fulldisplay?context=Lvid=01NAL_INST:MAINdocid=alma9916379721207426https:\/\/doi.org\/10.32747\/2023.8054018.ersa\/