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Old 04-12-2016, 10:24 AM
 
Location: near bears but at least no snakes
26,654 posts, read 28,682,916 times
Reputation: 50530

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Quote:
Originally Posted by TuborgP View Post
Is this what happens when threads get moved?
I didn't move the thread and I'm not sure it should have been moved. Seniors were having an intelligent discussion in the Retirement Forum. Let's get it back to an intelligent discussion or else posts will be deleted.
AND, whether anyone agrees with what some moderator did--it is against the terms of service to discuss it in the forum as someone did a few pages back. PLEASE TAKE A MINUTE TO READ THE RULES, everyone. They are in TOS, below this post.
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Old 04-12-2016, 08:31 PM
 
Location: Baltimore, MD
5,328 posts, read 6,019,984 times
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I did not read the Washington Post article, but I did read a similar article in the NYT.
Here's a link to the original study: JAMA Network | JAMA | The Association Between Income and Life Expectancy in the United States, 2001-2014

I have all sorts of thoughts (ha ha) but I found it interesting that the women in Honolulu had a shorter life expectancy than the women in Detroit. (Excluding race/ethnicity). Of course, both were in the bottom five, but still...

Caveat: The life expectancy after age 76 was estimated, not directly measured.

The statistics and estimations are "race and ethnicity adjusted".(IOW, the team needed to adjust for race and ethnicity because blacks are more likely to have a shorter life expectancy and Hispanics tend to have a greater life expectancy, aka the "Hispanic Paradox").

OTOH, "[L]ife expectancy for low-income individuals was positively correlated with the local area fraction of immigrants (r = 0.72, P < .001), fraction of college graduates (r = 0.42, P < .001), and government expenditures (r = 0.57, P < .001)." (I don't know how they disentangled the race/ethnicity variable from the fraction of immigrants.)

Other important conclusions:

"[G]eographic differences in life expectancy for individuals in the lowest income quartile were significantly correlated with health behaviors such as smoking (r = −0.69, P < .001), but were not significantly correlated with access to medical care, physical environmental factors, income inequality, or labor market conditions."
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