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Projecting the Effect of Changes in Smoking and Obesity on Future Life Expectancy in the United States

Overview of attention for article published in Demography, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 1,582)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
17 news outlets
blogs
1 blog
policy
2 policy sources
twitter
3 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
90 Mendeley
Title
Projecting the Effect of Changes in Smoking and Obesity on Future Life Expectancy in the United States
Published in
Demography, November 2013
DOI 10.1007/s13524-013-0246-9
Pubmed ID
Authors

Samuel H. Preston, Andrew Stokes, Neil K. Mehta, Bochen Cao

Abstract

We estimate the effects of declining smoking and increasing obesity on mortality in the United States over the period 2010-2040. Data on cohort behavioral histories are integrated into these estimates. Future distributions of body mass indices are projected using transition matrices applied to the initial distribution in 2010. In addition to projections of current obesity, we project distributions of obesity when cohorts are age 25. To these distributions, we apply death rates by current and age-25 obesity status observed in the National Health and Nutrition Examination Survey, 1988-2006. Estimates of the effects of smoking changes are based on observed relations between cohort smoking patterns and cohort death rates from lung cancer. We find that changes in both smoking and obesity are expected to have large effects on U.S. mortality. For males, the reductions in smoking have larger effects than the rise in obesity throughout the projection period. By 2040, male life expectancy at age 40 is expected to have gained 0.83 years from the combined effects. Among women, however, the two sets of effects largely offset one another throughout the projection period, with a small gain of 0.09 years expected by 2040.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 9%
United Kingdom 1 1%
Unknown 81 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 26%
Student > Ph. D. Student 22 24%
Student > Master 10 11%
Student > Bachelor 8 9%
Other 6 7%
Other 13 14%
Unknown 8 9%
Readers by discipline Count As %
Social Sciences 26 29%
Medicine and Dentistry 13 14%
Economics, Econometrics and Finance 10 11%
Agricultural and Biological Sciences 6 7%
Psychology 4 4%
Other 18 20%
Unknown 13 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 149. 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 21 October 2020.
All research outputs
#136,936
of 16,090,346 outputs
Outputs from Demography
#30
of 1,582 outputs
Outputs of similar age
#1,839
of 265,195 outputs
Outputs of similar age from Demography
#1
of 10 outputs
Altmetric has tracked 16,090,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 98% 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 265,195 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 99% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them