Fri, Apr 03, 2015 page9

• How income inequality can be bad for your health

  Distribution of wealth affects average life expectancy in US communities, according to a new report

  • By Margot Sanger-Katz / NY Times News Service
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  We know that living in a poor community makes you less likely to live a long life. New evidence suggests that living in a community with high income inequality also seems to be bad for your health.

  A study from researchers at the University of Wisconsin Population Health Institute and the Robert Wood Johnson Foundation examined a series of risk factors that help explain the health (or sickness) of counties in the US.

  In addition to the suspects you might expect — a high smoking rate, a lot of violent crime — the researchers found that people in unequal communities were more likely to die before the age of 75 than people in more equal communities, even if the average incomes were the same.

  

  Illustration: Mountain Meople

  “It’s not just the level of income in a community that matters — it’s also how income is distributed,” said Bridget Catlin, the co-director of the project, called the County Health Rankings and Roadmaps.

  Many factors besides inequality affect health, of course. How much people smoke, whether they are obese and the safety of air and water, among many other factors, make a difference. However, the effect of inequality was statistically significant, equivalent to a difference of about 11 days of life between high and low-inequality places. The differences were small, but for every increment that a community became more unequal, the proportion of residents dying before the age of 75 went up.

  The research on inequality at the county level is new, but existing literature suggests there are relationships between income inequality and life expectancy among countries in the world.

  “Inequality effects, over and above average income, are pretty well established,” said S.V. Subramanian, a professor of population health and geography at Harvard, who has studied the phenomenon.

  We know that inequality tends to concentrate income in fewer hands, creating more low-income households — and people in low-income households do not live as long. However, what causes the drop in life expectancy is debatable.

  One theory is that while money does tend to buy better health, it makes a bigger difference for people low on the income scale than those at the top. That means that having fewer very poor people in a community will improve average health more than having fewer very rich people will diminish it.

  However, another more sociological theory has to do with the communities themselves. The researchers think that places where wealthy residents can essentially buy their way out of social services may have less cohesion and investment in things like education and public health that we know affect life span.

  There is also literature suggesting that it is stressful to live among people who are wealthier than you. That stress may translate into mental health problems or cardiac disease for lower-income residents of unequal places.

  The researchers measured inequality by comparing the number of people in a given place who earned above the 80th percentile in the county with the number of people earning less than the 20th percentile. Then they measured life expectancy using a custom measurement they developed — it counts the “potential life years lost” in each community by measuring all those who died before the age of 75, and the age at which they died.

  So someone who died at age 70 would have five years of potential life lost. Then they adjusted the numbers according to how old people were in the county, so counties with more old people would not look sicker than counties that were younger. The study looked at only the average life span and not that of higher-income versus lower-income residents.

  For every 1-point increase in the ratio between high and low earners in a county, there were about five years lost for every 1,000 people. That is about the same difference they observed when a community’s smoking rate increased by 4 percent or its obesity rate rose by 3 percent. Researchers said that the inequality effect persisted even when they compared communities of similar average income and racial composition.

  Here is what that means in some real counties. The researchers compared the adjoining Park and Fremont Counties in Wyoming. Both have relatively small populations and are predominantly white. Both include parts of large national parks.

  However, the Fremont inequality ratio is 4.6, compared with Park’s 3.6, and in Fremont County, there are 13 years of potential life lost for every 1,000 residents, compared with only 7.5 in Park.

  We happen to be in the midst of a big experiment in redistribution of spending on healthcare, through the Affordable Care Act. The law, particularly in states that have opted to expand Medicaid, is now providing substantial income, in the form of health insurance, to Americans at the lower end of the income spectrum.

  Whether those new resources will ameliorate some of the effects of inequality will be something the researchers will be tracking in the coming years.
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