Haha. What’s interesting is there’s other high country in the US but it’s not green in this map. Wyoming, Montana, Utah, Idaho…
And with the exception of vermont and a small part of NY, most of the yellow in the northeast is low lying areas not very high above sea level. California has mountains too.
That’s why the county level data makes the trend that much more obvious, because the states tend to clump big groups together. Here’s an example.
There, you can see that Colorado is special in that its rural counties tend to be low obesity, compared to even its neighbors in the Rockies. You also see a sliver of green following the Appalachian Mountains.
And obviously it isn’t the only factor. Poverty is really important, as are lifestyles (and the intentional and unintentional features of any given community in incentivizing or disincentivizing things like walking, regular exercise, eating healthy, etc.).
Oh yeah, it near perfectly captures where the mountains are. The green areas are mountains and cities. NH is interesting, the darkest part is where the ski areas are, the lighter part is the more populated area.
High elevation makes the body work harder because there’s less oxygen. Elite athletes train in the high country for the effects.
Altitude is an appetite suppressant.
The trend of altitude being inversely correlated with obesity rates is really obvious from county-level data. That trend persists across multiple countries, but the specific correlation varies from country to country, in a way that suggests that rich countries have a stronger inverse correlation between altitude and obesity.
Today I learned….
Haha. What’s interesting is there’s other high country in the US but it’s not green in this map. Wyoming, Montana, Utah, Idaho…
And with the exception of vermont and a small part of NY, most of the yellow in the northeast is low lying areas not very high above sea level. California has mountains too.
That’s why the county level data makes the trend that much more obvious, because the states tend to clump big groups together. Here’s an example.
There, you can see that Colorado is special in that its rural counties tend to be low obesity, compared to even its neighbors in the Rockies. You also see a sliver of green following the Appalachian Mountains.
And obviously it isn’t the only factor. Poverty is really important, as are lifestyles (and the intentional and unintentional features of any given community in incentivizing or disincentivizing things like walking, regular exercise, eating healthy, etc.).
Oh yeah, it near perfectly captures where the mountains are. The green areas are mountains and cities. NH is interesting, the darkest part is where the ski areas are, the lighter part is the more populated area.
Only for a short period of time. You adapt and the effects go away since your body creates more red blood cells.
But then those athletes go down to sea level for a competition and have an advantage
For a few days as your body recycles the extra red blood cells