Submitted by orgborger t3_124sau9 in dataisbeautiful
Comments
Temporary-Alarm-744 t1_je0kpe1 wrote
I mean when I moved to Texas from Colorado I gained 30lbs
karanbhatt100 t1_je0l1sv wrote
No shit. Obesity is first and foremost cause of hear attack.
No matter if you are body positive or not. You can’t change the science
Frisky_Potato42nite t1_je0lokk wrote
You are right. Unfortunately, a lot of people will scoff at that. I’ve heard of one too many people dying early .
KezzardTheWizzard t1_je0lzck wrote
Cool, now overlay a map of Waffle Houses.
errlastic t1_je0mcer wrote
The South will rise again! (Blood pressure to be specific)
PatternPositive901 t1_je0mcy8 wrote
waiting for the "fatphobic" crowd
Stoo_Pedassol t1_je0ntd1 wrote
Why are Montana, Florida, and New Jersey white? Is that bad?
internetcivilian t1_je0o0p2 wrote
Oh the irritating crowd you're referring to can and will change the science (as they see it) like so:
- Undermine BMI as a metric using the lack of association between the "overweight but not obese" category with negative health outcomes.
- Argue that this invalidates the metrics for "obese" as well.
- Argue that no metric has perfect 1.0 correlation of obesity and negative health outcomes.
- Conclude that obesity is a social construct that is completely unrelated to health.
All while claiming they "follow the science"...
pablo_the_bear t1_je0octy wrote
I don't understand why you used the obesity map of Non-Hispanic Black Adults for this comparison. You aren't comparing the same data sets.
This is the map you should be using in the comparison.
Old_Captain_9131 t1_je0ppwz wrote
No scale, no context, no useful conclusion that I can take from the charts. How do this fits this subreddit?
Mods should have standards and weeding out low quality charts.
chouseva t1_je0ptif wrote
Thought the same thing.
betweentourns t1_je0q1xj wrote
What's up with Wisconsin though? Super high obesity, but not heart.disease? Am I reading that wrong?
phdoofus t1_je0rhn2 wrote
If you go to their data link, there are multiple images. Rather than choosing the map showing overall rates for all groups, they chose the 'non-hispanic black adults' map for some reason. Hence, the white bits are labelled 'insufficient data'. Given the number of blacks at least in MT, this is not surprising. Still, kind of stupid to present obesity data for only part of the entire US population and then show heart disease rates for all demographics
pablo_the_bear t1_je0skjg wrote
It's the wrong map.
coffeeismydoc t1_je0uxw8 wrote
Cool data but it really should have a scale
SaintUlvemann t1_je0w8nj wrote
We go outside; higher rates of physical inactivity are also associated with heart disease.
Marksd9 t1_je0xgfl wrote
I wouldn’t consider myself smart enough to make a serious argument on this one way or the other but would you mind explaining why your first point isn’t worth taking very seriously?
Every reputable source I’ve read agrees that BMI is a flawed system of measurement. If that really is the case then don’t points 2,3 & 4 naturally follow?
PYHProtectYourHoles t1_je10xur wrote
Why is wisconsins polka dotted
tilapios t1_je11tbr wrote
what DOES NOT constitute OC: Taking TWO screenshots or copies of someone else's mobile app or website, for use in a side-by-side comparison.
internetcivilian t1_je11yuw wrote
Oh I'd be happy to explain! The thing here is that 1 and 3 are true statements stitched together in a misleading way.
The assumption that I'm making but not proving is that poor diet and sedentary lifestyle contribute to negative health outcomes. Furthermore, excess body fat is strongly associated to said poor diet and sedentary lifestyle (lots of calories, few nutrients in proportion to those calories, no burning off of said calories through exercise). I see this as invalidating 4, but of course I would need to provide papers showing the correlation and I'm going to be lazy and just state that these papers exist. Wikipedia has some OK links to said papers.
Notice that excess weight as an indicator immediately weakens the correlation since not every overweight person will experience negative health consequences as a result and we also need to figure out how to measure "overweight". So, there's some built in "fuzziness" right away (as noted by 3) but this is accepted because there's advantage in people being able to test at home with limited equipment AND excess weight is bad for a few other reasons (hard on joints, difficulty with accessibility, etc.).
With that in mind, reading wikipedia, and checking the linked sources leads me to believe that 1 is true. However, this observation does not undermine all metrics nor the practice, only BMI (this is my rebuttal to 2). It's just an invitation to try a bit harder. Waist to hip and waist to height ratio seem to do a better job than BMI, and body fat percentage (measured on a smart device or whatever) does an even better job.
These are my thoughts. I am not a medical professional and so constructive criticism is welcome!
Tl;dr 1-4 is basically a "bad apple spoils the bunch" style argument.
MeteorMann t1_je14dfa wrote
Looks like a fried foods density map
zombienudist t1_je1a7t1 wrote
It isn't flawed for most people. What most people see as a flaw is that BMI doesn't work for aberrations. So you are a body builder that BMI says is obese when you are 10% body fat. But very few people are bodybuilders.
That is why there is a range of weight for each section. And there are many other ways to measure your health. You can take measurements for example. Or use hip to waist ratio But take it from a guy that said that BMI was BS for much of their adult life that I was wrong. For most people it is a good guideline. I said that because I didn't want to face the fact that I was overweight from the time I was 25 on.
SaltedPepperoni t1_je1h6pl wrote
Wild guess, probably lack of readily accessibility to healthy food -- and hence they're just "stuck" with unhealthy chain food. Best to check the correlation with the existence of healthy chain food (Chipotle, CoreLife, etc) then overlay it and see that it doesn't land most in the red area.
Marksd9 t1_je1mxpd wrote
Thanks for the detailed response. I find the area really interesting since I grew up in an environment where BMI and the dangers of being “overweight” were totally unchallenged.
However the “fuzziness” around this topic always bothered me. Playing rugby, almost every player on my team would be classed as either “Obese” or “morbidly obese” (especially if they were POC’s) despite being high-level athletes. Meanwhile my skinny stoner friends who sat around playing guitar hero all day were classed as being “healthy”, based on a metric that even it’s proponents agree makes no sense. I would say everyone has similar stories of larger people being healthier than many skinny people.
The fussiness extends to the outcomes too, since obesity is only a co-morbidity and also doesn’t apply in all cases it’s easy to say a “fat”person’s weight contributed to a heart attack when that either may not have been the case at all, or may have been a contributing factor but not the actual cause. It may be just as accurate in these situations to suggest that the added stress of being left handed contributed to a heart attack.
This very much sounds like I’m making a very specific argument but what you’re really hearing is my brain melting as it tries to decide between two conclusions:
- Obesity IS the major health risk I’ve been led to believe despite the “fuzziness” in the data and observable conclusions.
- Activists are correct when they say that all the data starts from the point that “fat is bad” and works backwards to justify that conclusion.
TL:DR I’m too dumb and my brain hurts.
Marksd9 t1_je1pqmd wrote
That makes some sense to me, some outlying body types can throw the data (although I’m given pause given that some of those outliers include entire ethnicities).
But even given more accurate testing we can all observe that some larger people are more active and eat more healthily than many skinnier people.
Given that conclusion, just how useful is body size as a measure of health?
zombienudist t1_je1ua9m wrote
Again there are always outliers. That is why you don't just use one method. But it is clear to me looking back that I was lying to myself about my health and weight. Many, many people are. I know the things I said about BMI and I did that because I didn't want to face my own issues. It was easier to think that BMI was BS then to actually look at it seriously and use it as just one way to assess your health. If you are the outlier then you just use something else.
MrCoolbeanss t1_je24de8 wrote
People struggle with objectivity/ reality. They would rather reframe reality to soothe their emotions than to confront life for what it actually is. As far as I'm concerned, this sort of of willful denial is natural selection in practice.
howdidthishappen999 t1_je2k0wh wrote
This map is why I deny myself sweet tea even though it’s the most delicious beverage.
Retumbo77 t1_je2p949 wrote
Health-ier chain food. In no objective reality is Chipotle healthy lol.
notwarhol t1_je2tgse wrote
Pure coincidence. Health at every size.
-trentacles- t1_je3sbkf wrote
Also I might add, 26% of Florida is Hispanic making it the 2nd largest racial group followed by black/African American at 17% and the largest ethnicity/race is white at 52%… so you can see how excluding 83% of population might create inconclusive results…
Volcic-tentacles t1_je441xr wrote
Doesn't this also "match" population density?
jc236 t1_je44gu2 wrote
Uh huh. Why don't you look at a population density map too. Lol this map means nothing.
Gulbahar-00 t1_je8kit1 wrote
It’s just rice, vegetables and grilled meat
Retumbo77 t1_je8mibz wrote
Gseventeen t1_jeaejb0 wrote
King Size, Super Size...
NeverrSummer t1_jeaojtj wrote
Not really. Denver, Seattle, and New York on that chart are all areas of very high population density with very low heart disease and obesity rates relative to much smaller cities in the Southeast.
There are clear cultural/regional trends here beyond just the fact that denser urban populations tend to be fatter on average, although that is true as well.
orgborger OP t1_je0jl2a wrote
Sources:
https://www.cdc.gov/obesity/data/prevalence-maps.html
https://www.cdc.gov/heartdisease/facts.htm