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Fenelon A, Chen L, Baker SP. Major Causes of Injury Death and the Life Expectancy Gap Between the United States and Other High-Income Countries. JAMA. 2016;315(6):609–611. doi:10.1001/jama.2015.15564
Copyright 2016 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
The United States experiences lower life expectancy at birth than many other high-income countries. Although research has focused on mortality of the population older than 50 years, much of this life expectancy gap reflects mortality at younger ages,1 when mortality is dominated by injury deaths, and many decades of expected life are lost. This study estimated the contribution of 3 causes of injury death to the gap in life expectancy at birth between the United States and 12 comparable countries in 2012. We focused on motor vehicle traffic (MVT) crashes, firearm-related injuries, and drug poisonings, the 3 largest causes of US injury death responsible for more than 100 000 deaths per year.2
Using data from the US National Vital Statistics System2 and the World Health Organization Mortality Database,3 we calculated death rates by age, sex, and cause for the United States and 12 high-income countries that had similar levels of development and quality of vital registration: Austria, Denmark, Finland, Germany, Italy, Japan, the Netherlands, Norway, Portugal, Spain, Sweden, and the United Kingdom. We used death rates to calculate life expectancy at birth for the United States and the comparison countries. We calculated the difference in life expectancy using death rates observed and after removing deaths from the 3 causes of injury.1The International Classification of Diseases, Tenth Revision, codes were used to capture the 3 injury causes, which included intentional and unintentional deaths and drug poisonings from illicit and nonillicit drugs. We used Stata (StataCorp), version 13.1, for all analyses.
In 2012, the all-cause, age-adjusted death rate per 100 000 population was 865.1 among US men vs 772.0 among men in the comparison countries (Table 1), and 624.7 among US women and 494.3 among women in the comparison countries. Men in the comparison countries had a life expectancy advantage of 2.2 years over US men (78.6 years vs 76.4 years), as did women (83.4 years vs 81.2 years). The injury causes of death accounted for 48% (1.02 years) of the life expectancy gap among men. Firearm-related injuries accounted for 21% of the gap, drug poisonings 14%, and MVT crashes 13%. Among women, these causes accounted for 19% (0.42 years) of the gap, with 4% from firearm-related injuries, 9% from drug poisonings, and 6% from MVT crashes. The 3 injury causes accounted for 6% of deaths among US men and 3% among US women.
The US death rates from injuries exceeded those in each comparison country (Table 2). Among men, these injuries accounted for more than 50% of the life expectancy gap with Austria, Denmark, Finland, Germany, and Portugal. Among women, they accounted for more than 30% of the gap with Denmark, the Netherlands, and the United Kingdom. The country-specific comparisons depend partly on the actual size of the gap in life expectancy between the United States and each country. For example, men in Portugal have lower injury mortality than US men, but a small life expectancy advantage, which results in the 3 injury causes accounting for more than 100% of the gap.
We found systematic variation in injury deaths across countries, with relatively high rates in the United States. Although injury prevention represents an important means to improve life expectancy, the existence of predictable international patterns of injury mortality may suggest that these causes of death reflect broad factors that go beyond individual policies.1 Drug poisonings are the largest cause of US injury death,4 which may reflect higher use of prescription opioids,5 but the fundamental reasons for high US injury mortality remain unclear.
Our data are unable to completely address potential differences in cause of death coding across national death registration systems. Also, our estimated contributions assume that mortality from other causes will remain stable after the removal of injury deaths, which may not be the case. Finally, the country-specific comparisons do not reflect mortality from causes of death other than the 3 injuries. Although the reasons for the gap in life expectancy at birth between the United States and comparable countries are complex, a substantial portion of this gap reflects just 3 causes of injury.
Corresponding Author: Andrew Fenelon, PhD, National Center for Health Statistics, 3311 Toledo Rd, Hyattsville, MD 20782 (firstname.lastname@example.org).
Author Contributions: Dr Fenelon had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Fenelon, Chen.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Fenelon.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Fenelon, Chen.
Administrative, technical, or material support: Fenelon.
Study supervision: Fenelon.
Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported.
Funding/Support: This study was supported by the US Centers for Disease Control and Prevention.
Role of the Funder/Sponsor: The US Centers for Disease Control and Prevention supported the staff responsible for the design and conduct of the study; in the collection, analysis, and interpretation of the data; in the preparation, review, and approval of the manuscript; and in the decision to submit the manuscript for publication.
Disclaimer: The views expressed in this article are those of the authors and do not necessarily reflect the official position of the US Centers for Disease Control and Prevention.
Additional Contributions: We thank the National Center for Health Statistics for institutional support and to Robert Anderson, PhD (National Center for Health Statistics), Holly Hedegaard, MD, MSPH (National Center for Health Statistics), and John Wilmoth, PhD (University of California, Berkeley), for helpful comments on an earlier version of the manuscript, none of whom received compensation.
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