@article{Young:338949,
      recid = {338949},
      author = {Young, Sabrina K. and Page, Elina T. and Okrent, Abigail  and Sweitzer, Megan},
      title = {Assessment and Adjustment of Body Weight Measures in  Scanner Data},
      address = {2023-06},
      number = {1488-2023-1269},
      series = {Technical Bulletin No. 1960},
      pages = {40},
      year = {2023},
      note = {This study examined patterns in body weight status across  individuals and households using the IRI Consumer Network  household panel survey and the IRI MedProfiler survey from  2012 to 2018.  The ERS researchers used height and weight  data from the National Health and Nutrition Examination  Survey (NHANES) of the National Center for Health  Statistics to compare with self-reported height and weight  data from the MedProfiler.  To correct for possible  measurement bias in BMI calculations based on MedProfiler  data, the researchers considered three adjustment methods:  (1) removing outliers based on the minimum and maximum  measured height and weight values reported in NHANES; (2)  removing outliers based on the MedProfiler interquartile  range; and (3) predicting BMI in the IRI MedProfiler using  measured BMI and percentile rankings of self-reported BMI  in NHANES.  Using the percentile-ranking adjustment method  for adults, with no adjustments for children and youths,  the researchers classified households by body weight status  as normal weight, overweight, and obese.  They compared  household obesity levels for four possible ways of defining  obesity at the household level, based on obesity of: (1)  the primary shopper, (2) any member of the household, (3)  at least half the household members, or (4) all household  members.  In a subsample of households with children, four  additional definitions of household obesity were considered  based on obesity of: (1) the primary shopper, (2) any  child, (3) at least one adult and one child, or (4) all  household members.  Finally, the researchers compared  results for household obesity status for all households, by  race and ethnicity of the primary shopper, and—for all  households only—by the number of household members.},
      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.},
      url = {http://ageconsearch.umn.edu/record/338949},
      doi = {https://doi.org/10.22004/ag.econ.338949},
}