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Discovering Links Between Health and Hunger
WithinReach is an organization based in
Seattle that is committed to connecting
Washington families with essential health
and nutritional resources.
Outcome:
To find or produce data that backs up links
between health and hunger.
Goal:
The Task:
Obesity Diabetes
Food Insecurity
Breastfeeding Cost of Medical Care
WIC & SNAP Enrollment Poverty
Food Banks Insurance Coverage Food Deserts
ACE's
Free School Meals Medicaid Enrollment
Action Plan
● Read articles and find ideas on data to best fit the
task
● Write reviews of articles relating to the objectives
to find more data
● Mine the web for data
● Develop hypotheses for correlations
● Use statistical analysis (SPSS/ArcGIS) to create
statistical support for the correlation
● Create maps symbolizing the single variables
● Create maps symbolizing the interesting correlated
variables and show scatter plots
Most Critical & Interesting Steps
Formatting Data
Creation of Hypotheses
Correlations and Scripting
Correlations and Scripting
Limitations
Data & Concepts:
● Abstract or Broad
● ACE's
● Food Insecurity
● Problems with scale; county level
Statistics:
● No time to do individual analysis
Research & Correlation:
● Correlation not causation
● Need time to find supporting studies
Results:
SNAP Rate & Fully Breastfed Rate in Washington Counties
This map compares the rate of the population on
SNAP (Supplemental Nutrition Assistance
Program) to the rate of children who have been
fully breastfed.
There is an inverse relationship between these
two variables.
Results:
Obesity Rate & Fully Breastfed Rate in Washington Counties
This map compares the rate of obesity in
Washington State to the rate of children who
have been fully breastfed.
There is an inverse relationship between these
two variables.
Results:
Obesity Rate & Fully Breastfed Rate in Washington CountiesMedicaid Children Enrollment & Partially Breastfed Rate in Washington Counties
Poverty Rate and Food Insecurity Rate in Washington
Counties
This map compares the rate of poverty to the
rate of food insecurity.
There is a direct relationship between these two
variables.
Results:
Obesity Rate & Fully Breastfed Rate in Washington CountiesMedicaid Children Enrollment & Partially Breastfed Rate in Washington CountiesDiabetes Mortality Rate & Fully Breastfed Rate in Washington Counties
Poverty Rate and Health Insurance Enrollment in Washington
Counties
This map compares the rate of poverty in
Washington State to the rate of health insurance
enrollment.
There is an inverse relationship between these
two variables.
Recommendations:
● Continue search for supporting studies
● Collect data that is more up to date
● Find related variables or define what variables exist under
broader terms
● Utilize online mapping platform to illustrate and deliver data
● Figure out the strength and reason for each correlation
Overall, we feel comfortable passing our data and map package
along to WithinReach as ready to use products.
Questions & Comments Please

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Health and Hunger Links Backed by Washington Data

  • 1. Discovering Links Between Health and Hunger
  • 2. WithinReach is an organization based in Seattle that is committed to connecting Washington families with essential health and nutritional resources. Outcome: To find or produce data that backs up links between health and hunger. Goal:
  • 3. The Task: Obesity Diabetes Food Insecurity Breastfeeding Cost of Medical Care WIC & SNAP Enrollment Poverty Food Banks Insurance Coverage Food Deserts ACE's Free School Meals Medicaid Enrollment
  • 4. Action Plan ● Read articles and find ideas on data to best fit the task ● Write reviews of articles relating to the objectives to find more data ● Mine the web for data ● Develop hypotheses for correlations ● Use statistical analysis (SPSS/ArcGIS) to create statistical support for the correlation ● Create maps symbolizing the single variables ● Create maps symbolizing the interesting correlated variables and show scatter plots
  • 5. Most Critical & Interesting Steps Formatting Data Creation of Hypotheses
  • 8. Limitations Data & Concepts: ● Abstract or Broad ● ACE's ● Food Insecurity ● Problems with scale; county level Statistics: ● No time to do individual analysis Research & Correlation: ● Correlation not causation ● Need time to find supporting studies
  • 9. Results: SNAP Rate & Fully Breastfed Rate in Washington Counties This map compares the rate of the population on SNAP (Supplemental Nutrition Assistance Program) to the rate of children who have been fully breastfed. There is an inverse relationship between these two variables.
  • 10. Results: Obesity Rate & Fully Breastfed Rate in Washington Counties This map compares the rate of obesity in Washington State to the rate of children who have been fully breastfed. There is an inverse relationship between these two variables.
  • 11. Results: Obesity Rate & Fully Breastfed Rate in Washington CountiesMedicaid Children Enrollment & Partially Breastfed Rate in Washington Counties Poverty Rate and Food Insecurity Rate in Washington Counties This map compares the rate of poverty to the rate of food insecurity. There is a direct relationship between these two variables.
  • 12. Results: Obesity Rate & Fully Breastfed Rate in Washington CountiesMedicaid Children Enrollment & Partially Breastfed Rate in Washington CountiesDiabetes Mortality Rate & Fully Breastfed Rate in Washington Counties Poverty Rate and Health Insurance Enrollment in Washington Counties This map compares the rate of poverty in Washington State to the rate of health insurance enrollment. There is an inverse relationship between these two variables.
  • 13. Recommendations: ● Continue search for supporting studies ● Collect data that is more up to date ● Find related variables or define what variables exist under broader terms ● Utilize online mapping platform to illustrate and deliver data ● Figure out the strength and reason for each correlation Overall, we feel comfortable passing our data and map package along to WithinReach as ready to use products.