Friday, May 20, 2016

Socioeconomic Impact on Obesity and Diabetes Among Mexican-Americans

Socioeconomic standing was used in this study to compare the probability that Mexican-Americans in Brownsville, Texas would have poor health, and how likely they were to go undiagnosed for diabetes.  Those in the lowest of the socioeconomic quartiles were the most likely to go undiagnosed for diabetes, mainly because they did not have health insurance and were too young to be eligible for medicaid.  The only significant difference found between those in the first and third socioeconomic strata was the proportion of those who had graduated high school.  GIS was used in this study to study the distribution of those in each socioeconomic quartile within the city of Brownsville, along with data about the population in each area.  The houses were placed on the map using GPS cross checked with the actual street addresses to ensure accuracy.  Demographics about each area were also included in the map-making to show the distribution in each neighborhood.


  1. While some of these conclusions can deal with a lot of assumption they seem to be logical. It is very sad that the paths we chose early on in life can have such a large outcome on the rest of our lives.

  2. If GIS was used to find out what kind of stores were near the tested area there would probably be an abundance of fast foods and unhealthy grocery stores.