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Life Years Lost Associated with Obesity-Related Diseases for U.S. Non-Smoking Adults

Overview of attention for article published in PLOS ONE, June 2013
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Title
Life Years Lost Associated with Obesity-Related Diseases for U.S. Non-Smoking Adults
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0066550
Pubmed ID
Authors

Su-Hsin Chang, Lisa M. Pollack, Graham A. Colditz

Abstract

The objectives of this paper are to predict life years lost associated with obesity-related diseases (ORDs) for U.S. non-smoking adults, and to examine the relationship between those ORDs and mortality. Data from the National Health Interview Survey, 1997-2000, were used. We employed mixed proportional hazard models to estimate the association between those ORDs and mortality and used simulations to project life years lost associated with the ORDs. We found that obesity-attributable comorbidities are associated with large decreases in life years and increases in mortality rates. The life years lost associated with ORDs is more marked for younger adults than older adults, for blacks than whites, for males than females, and for the more obese than the less obese. Using U.S. non-smoking adults aged 40 to 49 years as an example to illustrate percentage of the life years lost associated with ORDs, we found that the mean life years lost associated with ORDs for U.S. non-smoking black males aged 40 to 49 years with a body mass index above 40 kg/m(2) was 5.43 years, which translates to a 7.5% reduction in total life years. White males of the same age range and same degree of obesity lost 5.23 life years on average - a 6.8% reduction in total life years, followed by black females (5.04 years, a 6.5% reduction in life years), and white females (4.7 years, a 5.8% reduction in life years). Overall, ORDs increased chances of dying and lessened life years by 0.2 to 11.7 years depending on gender, race, BMI classification, and age.

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Geographical breakdown

Country Count As %
Cameroon 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 13%
Student > Ph. D. Student 7 10%
Student > Bachelor 7 10%
Student > Master 6 9%
Student > Doctoral Student 4 6%
Other 14 21%
Unknown 21 31%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Agricultural and Biological Sciences 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Social Sciences 3 4%
Engineering 3 4%
Other 13 19%
Unknown 23 34%