Event Title

Correlation of Food Insecurity with Obesity Rates by State

Poster Number

009

Faculty Mentor

Duha Hamed, Ph.D.

College

College of Arts and Sciences

Department

Mathematics and Nutrition

Location

Rutledge

Start Date

20-4-2018 12:00 PM

End Date

20-4-2018 2:00 PM

Description

The purpose of this study is to examine the average obesity and food insecurity rates in the U.S. between 2014 and 2016. Food insecurity is the state of being without reliable access to a sufficient quantity of affordable, nutritious foods. Obesity is measured by a body mass index (BMI) greater than 30. Our methods include analyzing statistical data provided by State of Obesity and the USDA. The data for both will be taken as the average from 2014-2016. We believe the two populations of adult obesity and household food insecurity are capable of being compared, since adults tend to be the first to become food insecure, placing their children’s needs above their own. Also, children may not be included in every household. We hypothesize that a higher state obesity rate will positively correlate to a higher level of food insecurity. Based on these data, we will then zone in on South Carolina and compare county rates of obesity and food insecurity.

Course Assignment

MATH 546 – Hamed

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Apr 20th, 12:00 PM Apr 20th, 2:00 PM

Correlation of Food Insecurity with Obesity Rates by State

Rutledge

The purpose of this study is to examine the average obesity and food insecurity rates in the U.S. between 2014 and 2016. Food insecurity is the state of being without reliable access to a sufficient quantity of affordable, nutritious foods. Obesity is measured by a body mass index (BMI) greater than 30. Our methods include analyzing statistical data provided by State of Obesity and the USDA. The data for both will be taken as the average from 2014-2016. We believe the two populations of adult obesity and household food insecurity are capable of being compared, since adults tend to be the first to become food insecure, placing their children’s needs above their own. Also, children may not be included in every household. We hypothesize that a higher state obesity rate will positively correlate to a higher level of food insecurity. Based on these data, we will then zone in on South Carolina and compare county rates of obesity and food insecurity.