Higher levels of income inequality in the U.S. lead to more deaths

Published on May 9, 2012 at 2:51 AM · No Comments

A new study provides the best evidence to date that higher levels of income inequality in the United States actually lead to more deaths in the country over a period of years.

The findings suggest that income inequality at any one point doesn't work instantaneously - it begins increasing mortality rates 5 years later, and its influence peaks after 7 years, before fading after 12 years.

"This finding is striking and it supports the argument that income inequality is a public health concern," said Hui Zheng, author of the study and assistant professor of sociology at Ohio State University.

The study appears online in the journal Social Science and Medicine and will be published in a future print edition.

Many other studies have examined the impact of income inequality on mortality and have come up with mixed results, according to Zheng. But he thinks that this study overcomes problems in previous research by using a different data structure and statistical model (called a discrete-time hazard model).

Zheng used data from the U.S. National Health Interview Survey from 1986 to 2004 with mortality follow-up data from 1986-2006. His final sample included more than 700,000 people aged 30 and up.

The study measured income inequality using three different methods, including the most commonly used metric - the Gini coefficient, calculated by the U.S. Census Bureau. All three methods resulted in similar findings.

The Gini coefficient ranges in value from 0 (indicating complete equality, with everyone earning the same income) to 1 (complete inequality, with one person earning all income).

The Gini coefficient has been steadily rising in the United States in recent decades, from .403 in 1980 to .469 in 2010.

In this study, Zheng found that a 0.01 rise in the Gini coefficient increases the cumulative odds of death by 122 percent in the following 12 years. This is after taking into account a wide variety of factors that may also influence mortality, including a person's age, gender, race, marital status, education, work status and family income.

"Income inequality has a substantial effect on mortality," he said.

But if income inequality does indeed affect mortality rates, why have other studies found mixed results? Zheng reviewed 79 previous studies to look for the reasons. The 11 best studies looked at income inequality at a particular point in time to see how it affected mortality rates at a specified time later.

"But current mortality isn't just affected by income inequality at one time, say 10 years ago. It is also affected by income inequality 9 years ago, and 11 years ago, and the current level of inequality, and so on," he said.

In this study, Zheng was able to look at deaths in a particular year and control for income inequality for each of up to 21 years preceding the death.

"For the first time, we can clearly capture the long-term effect of income inequality on health," he said. "Previous studies are likely to miss the effect if the mortality follow-up period is too short for income inequality to exert its impact or too long for income inequality to maintain its influence."

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