Visualizing the Relationship between Poverty & Diabetes
The story that has not been getting out is that there is a clear and extraordinary correlation between obesity and social inequality. Obesity is invariably presented as a diet issue for nutritionists, whereas social inequality is deemed the domain of sociologists and economists. Put another way, even as the inequality gap becomes more and more obvious there's been a medicalisation of a social problem. Yet obesity is not just a matter for nutritionists: rather, it is a product of social inequality and requires a collective social response.
In order to better understand the relationship between poverty and diabetes, we performed an analysis using data provided by the United States Census Bureau and the CDC.
Data Analysis
Results
The correlation coefficient between the percent of the population in poverty and the percent of the population with diabetes is 0.7156, which represents a strong positive relationship. Thus, we can expect in the United States that as the percent of the population with a income below the poverty level increases, we will see the percent of the population with diabetes increase.
Potential Problems
The data point for Puerto Rico could indicate that, rather than a linear relationship, the relationship between the variables may instead be logarithmic. R^2 for the calculated linear regression is 0.51, but for a logarithmic regression line, R^2 is 0.56, indicating that the points fit the logarithmic line slightly better.
Another potential problem lies within the data itself. While the poverty data is sourced from the US Census, the diabetes data is described as "Crude Prevalance." Sample sizes vary a great deal from state to state. In order to help take this into account, the size of the bubbles in the chart below reflect the sample size for the data on diabetes prevalence.
Opportunities for Further Research
To pursue this line of inquiry further, at minimum, we would need far better data on the prevalence of diabetes. However, to truly uncover something useful, it would require diving deeper into the root causes. Obviously, poverty doesn't cause diabetes. However, other factors associated with poverty, such as lack of appropriate health care or living in food deserts, are either separately or in combination are the actual cause. Given that diabetes affects 422 million people worldwide, the knowledge of what factors are the most prominent could be life-saving.
Data Sources
To analyze the relationship between poverty and diabetes in the United States, data was drawn from the following sources:
- B17001 - POVERTY STATUS IN THE PAST 12 MONTHS BY SEX BY AGE Universe: Population for whom poverty status is determined
- Source: American FactFinder
- Type of Data: 2014 American Community Survey 1-Year Estimates
- Data Provided by: U.S. Census Bureau
- Behavioral Risk Factor Surveillance System (BRFSS) Prevalence Data
- Type of Data: 2014 Overall (Not Broken Out)
- Source: Chronic Disease and Health Promotion Data & Indicators
- Data Provided by: Center for Disease Control and Prevention