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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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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 blog
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18 X users

Citations

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45 Dimensions

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68 Mendeley
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 June 2023.
All research outputs
#1,826,922
of 24,368,983 outputs
Outputs from PLOS ONE
#22,876
of 210,211 outputs
Outputs of similar age
#15,406
of 200,874 outputs
Outputs of similar age from PLOS ONE
#549
of 4,610 outputs
Altmetric has tracked 24,368,983 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 210,211 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 200,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 4,610 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.