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Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study

Overview of attention for article published in Diabetologia, May 2016
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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 (#26 of 5,337)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
86 news outlets
blogs
1 blog
twitter
67 X users
facebook
6 Facebook pages

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
88 Mendeley
Title
Twenty year fitness trends in young adults and incidence of prediabetes and diabetes: the CARDIA study
Published in
Diabetologia, May 2016
DOI 10.1007/s00125-016-3969-5
Pubmed ID
Authors

Lisa S. Chow, Andrew O. Odegaard, Tyler A. Bosch, Anne E. Bantle, Qi Wang, John Hughes, Mercedes Carnethon, Katherine H. Ingram, Nefertiti Durant, Cora E. Lewis, Justin Ryder, Christina M. Shay, Aaron S. Kelly, Pamela J. Schreiner

Abstract

The prospective association between cardiorespiratory fitness (CRF) measured in young adulthood and middle age on development of prediabetes, defined as impaired fasting glucose and/or impaired glucose tolerance, or diabetes by middle age remains unknown. We hypothesised that higher fitness levels would be associated with reduced risk for developing incident prediabetes/diabetes by middle age. Participants were from the Coronary Artery Risk Development in Young Adults (CARDIA) study who were free from prediabetes/diabetes at baseline (year 0 [Y0]: 1985-1986). CRF was quantified by treadmill duration (converted to metabolic equivalents [METs]) at Y0, Y7 and Y20 and prediabetes/diabetes status was assessed at Y0, Y7, Y10, Y15, Y20 and Y25. We use an extended Cox model with CRF as the primary time-varying exposure. BMI was included as a time-varying covariate. The outcome was development of either prediabetes or diabetes after Y0. Model 1 included age, race, sex, field centre, CRF and BMI. Model 2 additionally included baseline (Y0) smoking, energy intake, alcohol intake, education, systolic BP, BP medication use and lipid profile. Higher fitness was associated with lower risk for developing incident prediabetes/diabetes (difference of 1 MET: HR 0.99898 [95% CI 0.99861, 0.99940], p < 0.01), which persisted (difference of 1 MET: HR 0.99872 [95% CI 0.99840, 0.99904], p < 0.01] when adjusting for covariates. Examining participants who had fitness measured from young adulthood to middle age, we found that fitness was associated with lower risk for developing prediabetes/diabetes, even when adjusting for BMI over this time period. These findings emphasise the importance of fitness in reducing the health burden of prediabetes and diabetes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 2%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Researcher 12 14%
Student > Bachelor 12 14%
Student > Ph. D. Student 11 13%
Other 5 6%
Other 12 14%
Unknown 23 26%
Readers by discipline Count As %
Medicine and Dentistry 29 33%
Nursing and Health Professions 8 9%
Agricultural and Biological Sciences 4 5%
Sports and Recreations 4 5%
Social Sciences 2 2%
Other 8 9%
Unknown 33 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 700. 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 16 February 2018.
All research outputs
#28,846
of 25,081,505 outputs
Outputs from Diabetologia
#26
of 5,337 outputs
Outputs of similar age
#542
of 330,877 outputs
Outputs of similar age from Diabetologia
#3
of 94 outputs
Altmetric has tracked 25,081,505 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 5,337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has done particularly well, scoring higher than 99% 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 330,877 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 94 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.