Shorter
life expectancy linked to 2016 presidential election outcome
Columbia University
Irving Medical Center
A new study has found
that changes in life expectancy may have influenced voting choices in the 2016
presidential election, with Republicans making gains in counties that had 2.5
times more deaths from suicide, alcohol, and overdose.
Concerns about health
and rising death rates may have helped tilt the 2016 presidential election in
favor of Donald J. Trump, according to an analysis of voting patterns and
mortality rates in counties across the U.S.
Findings from the
study, at Columbia University Irving Medical Center (CUIMC), were published
online in the Journal of General Internal Medicine.
"Although life expectancy is increasing in many parts of the country, especially in urban areas, we're not seeing nearly the same gains in rural and middle America. We shouldn't underestimate the degree to which some portions of the country have been left behind in terms of their health. And it's not surprising that health disparities correspond with voting behavior," said study leader Lee Goldman, MD, MPH, the Harold and Margaret Hatch Professor, Dean of the Faculties of Health Sciences and Medicine, and Chief Executive, Columbia University Irving Medical Center.
Dr. Goldman and
colleagues hypothesized that changes in health outlook may have affected the
outcome of the 2016 presidential election.
To test this hypothesis, they used publicly available data from each of the country's 3,112 counties to compare changes in presidential voting from 2008 to 2016 with changes in death rates.
The analysis controlled for race/ethnicity, income, education, unemployment rates, health insurance rates, and other factors.
To test this hypothesis, they used publicly available data from each of the country's 3,112 counties to compare changes in presidential voting from 2008 to 2016 with changes in death rates.
The analysis controlled for race/ethnicity, income, education, unemployment rates, health insurance rates, and other factors.
Both 2016 presidential
candidates received fewer votes than the 2008 Republican and Democratic
presidential candidates in 398 counties.
And while President Trump fared better than Senator John McCain in 2,607 counties, Secretary Hillary Clinton surpassed President Obama's percentage of the vote in only 108 counties.
And while President Trump fared better than Senator John McCain in 2,607 counties, Secretary Hillary Clinton surpassed President Obama's percentage of the vote in only 108 counties.
Counties with a net
gain in the percentage of individuals who voted for the Republican candidate
had a 15 percent higher 2015 age-adjusted death rate than counties with a net
gain in Democratic voters.
The increase in death rates due to alcohol, drugs,
and suicide was also 2.5 times higher in counties where Republicans made gains
compared with counties where Democrats made gains.
"It's commonly
argued that President Trump won by receiving more votes from people who have
been left behind economically -- especially older, less-educated, and
less-urban, white voters," said Dr. Goldman.
"Based on our data, we
can also say that changes in life expectancy were an independent factor in
voting choices. Reduced health prospects are an important marker of
dissatisfaction, discouragement, hopelessness, and fear -- sentiments that may
have resonated with voters who sided with President Trump. Although correlation
does not imply causality, our findings also suggest that plausible improvements
in life expectancy in Michigan, Pennsylvania, and Wisconsin might have shifted
their electoral votes to Secretary Clinton.
"Regardless of
your political persuasion, our paper suggests that if health disparities were
important enough to influence presidential voting, they may have an even
broader impact on our country's future than we had imagined," said Dr.
Goldman. "It also highlights how much work remains to reduce health
disparities."
The paper is titled,
"Independent Relationship of Changes in Death Rates with Changes in U.S.
Presidential Voting." The other contributors are: Maribel P. Lim, Qixuan
Chen, Peng Jin, Peter Muennig, and Andrew Vagelos (all at CUIMC).