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Comparing Individual Perceptions of ...

Samani, Hector Nobiya Lankpit.

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Comparing Individual Perceptions of Food Desert with USDA Quantitative Measures in Omaha, Nebraska.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Comparing Individual Perceptions of Food Desert with USDA Quantitative Measures in Omaha, Nebraska./
Author:	Samani, Hector Nobiya Lankpit.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	57 p.
Notes:	Source: Masters Abstracts International, Volume: 82-01.
Contained By:	Masters Abstracts International82-01.
Subject:	Public health education. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27742585
ISBN:	9798662408388

Comparing Individual Perceptions of Food Desert with USDA Quantitative Measures in Omaha, Nebraska.
Samani, Hector Nobiya Lankpit.

Comparing Individual Perceptions of Food Desert with USDA Quantitative Measures in Omaha, Nebraska. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 57 p.

Source: Masters Abstracts International, Volume: 82-01.

Thesis (M.A.)--University of Nebraska at Omaha, 2020.

This item must not be sold to any third party vendors.

Food deserts have been linked to an increase in chronic diseases such as obesity and diabetes, due to lower access to affordable and healthy foods. The United States Department of Agriculture (USDA) outlines various methods and variables for defining food deserts, in attempts to standardize what constitutes a food desert or their characteristics. The USDA identifies the state of Nebraska as having both rural and urban food deserts, with an increase of food insecurity from 1.1% - 3.0% between 2007 and 2012 and warns of further increase of food deserts and its impact if measures are not taken. However, there is little literature that assesses people's perception of access to healthy food. In this study, structured questionnaires were used to collect data to appraise individual knowledge, situation, and perception about food deserts. Overlay methods in a Geographic Information System (GIS) and statistical methods were used to analyze and establish associations between individual perception and the USDA's quantitative measure of food deserts. Kappa test showed little agreement (χ = -0.043) between the perception outcomes and their USDA identified food deserts. Chi-square test found an association between perception outcome and race, household income, education, quality of food available in the grocers, and respondents who cited best prices and closer distance to grocers. A logistic regression model showed individuals with bachelor level education are likely to live in a non-food desert neighborhood.

ISBN: 9798662408388Subjects--Topical Terms:

2144801
Public health education.
Subjects--Index Terms:

Food desert and perception

Comparing Individual Perceptions of Food Desert with USDA Quantitative Measures in Omaha, Nebraska.
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500 $a Source: Masters Abstracts International, Volume: 82-01.
500 $a Advisor: Bereitschaft, Bradley.
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506 $a This item must not be sold to any third party vendors.
520 $a Food deserts have been linked to an increase in chronic diseases such as obesity and diabetes, due to lower access to affordable and healthy foods. The United States Department of Agriculture (USDA) outlines various methods and variables for defining food deserts, in attempts to standardize what constitutes a food desert or their characteristics. The USDA identifies the state of Nebraska as having both rural and urban food deserts, with an increase of food insecurity from 1.1% - 3.0% between 2007 and 2012 and warns of further increase of food deserts and its impact if measures are not taken. However, there is little literature that assesses people's perception of access to healthy food. In this study, structured questionnaires were used to collect data to appraise individual knowledge, situation, and perception about food deserts. Overlay methods in a Geographic Information System (GIS) and statistical methods were used to analyze and establish associations between individual perception and the USDA's quantitative measure of food deserts. Kappa test showed little agreement (χ = -0.043) between the perception outcomes and their USDA identified food deserts. Chi-square test found an association between perception outcome and race, household income, education, quality of food available in the grocers, and respondents who cited best prices and closer distance to grocers. A logistic regression model showed individuals with bachelor level education are likely to live in a non-food desert neighborhood.
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653 $a Food deserts
653 $a Food security
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