Fichier de travail (INPUT) : ./DUMP-TEXT/1-44.txt
Encodage utilisé (INPUT) : utf-8
Forme recherchée : ( vie )|( life )|( vita )
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- Ligne n°31 : In the most comprehensive look at life expectancy and income—based on
Ligne n°32 : tax returns filed by every American from 1999 to 2014—Raj Chetty, ...
Ligne n°36 : ... off so that making more wouldn’t provide any added years, but Chetty’s- Ligne n°37 : study showed otherwise. While the amount of added life started to
Ligne n°38 : shrink as incomes grew, more money essentially lead to more years of ...
Ligne n°42 : ... At the other end of spectrum, lower income was associated with shorter- Ligne n°43 : life spans, with no plateau. That suggests that life spans can’t
- Ligne n°43 : life spans, with no plateau. That suggests that life spans can’t
Ligne n°44 : necessarily be traced to something that people are buying to stay alive ...- Ligne n°51 : The data also showed interesting differences in life expectancies among
Ligne n°52 : those with lower incomes depending on where in the U.S. they lived. ...
Ligne n°53 : ... While previous studies found that people in urban areas tended to have- Ligne n°54 : shorter life spans compared to those living in certain suburban and
Ligne n°55 : rural areas, presumably because of the higher cost of living in cities ...
Ligne n°57 : ... the opposite to be true. In fact, lower income people living in cities- Ligne n°58 : like New York and San Francisco enjoyed longer life expectancies than
Ligne n°59 : those living in Detroit or Tulsa. ...
Ligne n°67 : ... cities that didn’t advocate for such health-promoting behaviors.- Ligne n°68 : “Inequalities in life expectancy across areas are more likely explained
Ligne n°69 : by different behaviors rather than access to life-saving medical care,” ...
Ligne n°74 : ... By analyzing data at the local level, he was able to discern- Ligne n°75 : differences in life expectancy that national level data don’t pull out.
Ligne n°76 : And that’s important for understanding how public health officials can ...