Saturday, February 14, 2015

Weight by Occupation


Not sure what to make of this. I thought maybe some occupations are more stressful, but the EMT's and nurses have a lower weight rate. But then don't some of these fields openly discriminate against the obese to keep them out so it would make the number of overweight people lower? Are the cops supposedly stopping for too much fast food and donuts while on shift? The firefighters really cooking too much chili down at the firehouse? It is a strange chart. I wonder where they get their numbers.

6 comments:

  1. The people in the higher obesity occupations spend more time sitting down.

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    1. What about the economists and psychologists?

      They aren't on their feet. I could see that between an EMT and bus driver.

      I think some is economic based, home health aide--I did this work, you are cleaning and sitting down very little--but so poor the food is bad, the doctor will obviously have better money for better food.

      I had active professions--art teacher you are on your feet for the classes actually more then other subjects and hands on, and the residential counseling job had a lot of walking to it, cleaning, driving, errands, etc.

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  2. It's probably a combination of factors - physical activity, financial security, stress levels, education. However, that does not explain the fairly high rate of obesity in architects and engineers.

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  3. architects and engineers are the grown up math brains? not exactly hanging out with the jock crowd in high school?

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  4. I think there are different factors in play, and this chart is misleading. There are many variables mixing up and this article did not explain why health care professionals like nurses, physicians, EMT, and dentists are on lowerr weight category and home health aide are on the obesity categories. They probably performed a survey without looking at different factors such as their current city, on whether they suffer from PTSD, their educational background and training, on whether they were healthy people who happened to be overweight, etc. Sounds like one of these poorly researched or poorly written articles.

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    1. I agree there's too many variables. I don't even trust how they selected their sample.

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