Literature DB >> 15284375

Differential response patterns affect food-security prevalence estimates for households with and without children.

Parke E Wilde1.   

Abstract

To produce national prevalence estimates for "food insecurity" and "food insecurity with hunger," the USDA uses a battery of 18 survey items about symptoms of food-related hardship. Ten items refer to adults in the household, while 8 items refer to children in the household and hence are not asked of households without children. To equate food-security status in households with and without children, the USDA uses a statistical model from item response theory, known as the Rasch model. This model requires an assumption that adult-referenced items have the same severity calibrations for all households, including households with and without children. However, empirical estimates from the 2000 Current Population Survey showed significantly different severity calibrations for households with and without children. These differences have implications for observable response patterns. Holding constant the number of affirmative responses to adult-referenced items, households with children were more likely to respond that they "worried food would run out," and households without children were more likely to be unable to afford "balanced meals." In light of such differences, the Rasch model cannot be used to equate the food-security status of households with and without children. One potential solution would be to estimate household food security by using the same battery of adult-referenced survey items for all households.

Entities:  

Mesh:

Year:  2004        PMID: 15284375     DOI: 10.1093/jn/134.8.1910

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  4 in total

1.  Food Insecurity and Chronic Diseases Among American Indians in Rural Oklahoma: The THRIVE Study.

Authors:  Valarie Blue Bird Jernigan; Marianna S Wetherill; Jordan Hearod; Tvli Jacob; Alicia L Salvatore; Tamela Cannady; Mandy Grammar; Joy Standridge; Jill Fox; Jennifer Spiegel; AnDina Wiley; Carolyn Noonan; Dedra Buchwald
Journal:  Am J Public Health       Date:  2017-01-19       Impact factor: 9.308

2.  Psychometric Properties of an Adapted Version of the U.S. Household Food Security Survey Module for Assessing Food Insecurity Among Low-Income Pregnant Latinas.

Authors:  Amber Hromi-Fiedler; Angela Bermúdez-Millán; Hugo Melgar-Quiñonez; Rafael Pérez-Escamilla
Journal:  J Hunger Environ Nutr       Date:  2009-01-01

3.  Monthly food insecurity assessment in rural mkushi district, Zambia: a longitudinal analysis.

Authors:  Muzi Na; Bess L Caswell; Sameera A Talegawkar; Amanda Palmer
Journal:  BMC Public Health       Date:  2017-03-16       Impact factor: 3.295

4.  Internal validity of a household food security scale is consistent among diverse populations participating in a food supplement program in Colombia.

Authors:  Michelle Hackett; Hugo Melgar-Quinonez; Martha C Alvarez Uribe
Journal:  BMC Public Health       Date:  2008-05-23       Impact factor: 3.295

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.