@article{2833e4870fdc4d5d9c8bba7db446e794,
title = "Using Demographic Variables to Understand Body Size Perception and Implications for Retailers",
abstract = "The purpose of the study was to identify demographic variables associated with women{\textquoteright}s body mass index (BMI) and body size perceptions and to determine if BMI affects body size perception. SizeUSA data (n = 6,811) were used for the data analysis. A multinomial regression between demographic variables, BMI, and body size perception showed that each demographic variable was a significant predictor of a women{\textquoteright}s BMI and body size perception. Results can be used to understand the BMI and body size perceptions of female consumers. Retailers can use the results to customize merchandise assortments for each store based on their target market{\textquoteright}s demographics.",
keywords = "body mass index, body size perception, demographics, retail",
author = "Marina Alexander and Gina Pisut and Ivanescu, {Andrada E.}",
note = "Funding Information: In 2002–2003, the SizeUSA national sizing survey gathered demographic information and sizing data of men and women through 3D body scanning technology using the Body Measurement System (Ross, 2003). Funding for the SizeUSA study was partially provided by the U.S. Department of Commerce and a number of U.S. apparel retailers and manufacturers. In the past, U.S. sizing surveys were conducted for military apparel. Until the SizeUSA study, a comprehensive study of the size and shape distribution of the U.S. population had not been carried out due to its high cost ([TC]2, 2004). Funding Information: The authors would like to thank East Carolina University for providing funding for purchasing SizeUSA data. Publisher Copyright: {\textcopyright} 2017 American Association of Family and Consumer Sciences.",
year = "2017",
month = dec,
doi = "10.1111/FCSR.12245",
language = "English",
volume = "46",
pages = "129--143",
journal = "Family and Consumer Sciences Research Journal",
issn = "1077-727X",
publisher = "Wiley-Blackwell",
number = "2",
}