ILA 7

DATA SET 1

10 poorest cities in America (2015)

Detroit, Michigan

Milwaukee, Wisconsin

Philadelphia, Pennsylvania

Memphis, Tennessee

Tucson, Arizona

Baltimore, Maryland

Fresno, California

El Paso, Texas

Indianapolis, Indiana

Boston, Massachusetts

 

10 cities with the highest violent crime rates

Detroit, MI

Memphis, TN

Oakland, CA

St. Louis, MO

Milwaukee, WI

Baltimore, MD

Cleveland, OH

Stockton, CA

Indianapolis, IN

Kansas City, KS

Kennedy, Bruce. “America’s 11 poorest cities”. CBS News. 18 Feb. 2015, http://www.cbsnews.com/media/americas-11-poorest-cities/8/

“Most Dangerous Cities in the United States”. Worldatlas. 19 Sept. 2016, http://www.worldatlas.com/articles/most-dangerous-cities-in-the-united-states.html

This data is useful for my paper because it shows the correlation between poverty and crime.  This supports the argument that not having access to healthy food can exasperate the problem that a lack of nutrients can influence a person’s likelihood to engage in criminal activity.  This data is very recent (it is from last year) so it is appropriate to use.  It is not the most reliable information though.  There are many factors (such as population) that have to be taken into consideration when determining how poor a city is or how much crime it has.  There are also concerns that one does not directly lead to the other, in other words, whether or not poverty actually causes crime.  Even then researching this information, there were varying opinions of what the “top ten” cities were.  That being said, I am not using this information to make an absolute conclusion, but rather to argue that there does seem to be a correlation that deserves consideration.  It is much more appropriate for this use.

 

DATA SET 2

One study found that it would cost $550 more per year to eat healthy than it would to eat unhealthy.  Unhealthy food is about $1.50 cheaper per day. According to a review of 27 different studies in 10 countries (British Medical Journal), meats and proteins cost about $0.29 more per serving, snacks/sweets- $0.12, and grains $0.03

Polis, Carey. “Eating Healthy vs. Unhealthy Will Cost You $550 More Per Year, Study Reveals”. The Huffington Post. 05 Dec. 2013, http://www.huffingtonpost.com/2013/12/05/eating-healthy-vs-unhealthy_n_4383633.html

Like the last data set, I am using this data to argue the position that it is a problem for healthy foods to be more expensive than unhealthy foods.  Based on this information, poorer communities have a much harder time eating healthy and are forced to buy junk food.  Any influence diet has on behavior would affect poorer areas much more than well-off ones.  This data seems fairly trustworthy because it cites a review of 27 different studies in 10 different countries.  That review was done in 2013 so it is fairly recent, but it would be better if it was 2015.

 

DATA SET 3

Omega-3 is being replaced by omega-6 (mostly found in industrial oils). Soya for example accounted for 0.02% of calories in 1909, but 20% in 2000 (in the US). Hibbeln et al mapped the growth in intake of omega-6 in 38 countries and found that as it goes up, so do homicide rates. For example, Japan has low murder rates and the people a great deal of fish.

http://www.theguardian.com/politics/2006/oct/17/prisonsandprobation.ukcrime

This information is useful to argue the effect certain nutrients, in this case omega-3 specifically, has on violent behavior.  It also highlights how the consumption (or lack thereof) of omega-3 has changed over time.  The site seems fairly credible. It is not as credible as a long paper and it does not cite its sources well; The Guardian, however, is a fairly respected publication. It is not as recent as I would like it to be, but it still seems useful for my paper.

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One response to “ILA 7

  1. I really think it’s cool the correlations that you are putting together and arguing for. The unique take on the project is very interesting. You seemed to have found useful information from all of your sources, even though they are not as up to date or as credible as you might have hoped.

    Like

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