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Prospective associations between sedentary time, physical activity, fitness and cardiometabolic risk factors in people with type 2 diabetes

Overview of attention for article published in Diabetologia, October 2015
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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18 tweeters
facebook
1 Facebook page

Citations

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15 Dimensions

Readers on

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80 Mendeley
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Title
Prospective associations between sedentary time, physical activity, fitness and cardiometabolic risk factors in people with type 2 diabetes
Published in
Diabetologia, October 2015
DOI 10.1007/s00125-015-3756-8
Pubmed ID
Authors

Maxine J. E. Lamb, Kate Westgate, Søren Brage, Ulf Ekelund, Gráinne H. Long, Simon J. Griffin, Rebecca K. Simmons, Andrew J. M. Cooper

Abstract

The aim of this study was to examine the prospective associations between objectively measured physical activity energy expenditure (PAEE), sedentary time, moderate-to-vigorous-intensity physical activity (MVPA), cardiorespiratory fitness (CRF) and cardiometabolic risk factors over 4 years in individuals with recently diagnosed diabetes. Among 308 adults (mean age 61.0 [SD 7.2] years; 34% female) with type 2 diabetes from the Anglo-Danish-Dutch Study of Intensive Treatment in People with Screen Detected Diabetes in Primary Care (ADDITION)-Plus study, we measured physical activity using individually calibrated combined heart rate and movement sensing. Multivariable linear regression models were constructed to examine the associations between baseline PAEE, sedentary time, MVPA, CRF and cardiometabolic risk factors and clustered cardiometabolic risk (CCMR) at follow-up, and change in these exposures and change in CCMR and its components over 4 years of follow-up. Individuals who increased their PAEE between baseline and follow-up had a greater reduction in waist circumference (-2.84 cm, 95% CI -4.84, -0.85) and CCMR (-0.17, 95% CI -0.29, -0.04) compared with those who decreased their PAEE. Compared with individuals who decreased their sedentary time, those who increased their sedentary time had a greater increase in waist circumference (3.20 cm, 95% CI 0.84, 5.56). Increases in MVPA were associated with reductions in systolic blood pressure (-6.30 mmHg, 95% CI -11.58, -1.03), while increases in CRF were associated with reductions in CCMR (-0.23, 95% CI -0.40,-0.05) and waist circumference (-3.79 cm, 95% CI -6.62, -0.96). Baseline measures were generally not predictive of cardiometabolic risk at follow-up. Encouraging people with recently diagnosed diabetes to increase their physical activity and decrease their sedentary time may have beneficial effects on their waist circumference, blood pressure and CCMR.

Twitter Demographics

The data shown below were collected from the profiles of 18 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 3%
Croatia 1 1%
South Africa 1 1%
Brazil 1 1%
Unknown 75 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 15%
Researcher 12 15%
Student > Ph. D. Student 12 15%
Student > Bachelor 8 10%
Student > Doctoral Student 6 8%
Other 15 19%
Unknown 15 19%
Readers by discipline Count As %
Medicine and Dentistry 22 28%
Nursing and Health Professions 13 16%
Sports and Recreations 8 10%
Agricultural and Biological Sciences 7 9%
Social Sciences 4 5%
Other 4 5%
Unknown 22 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 07 January 2016.
All research outputs
#1,308,301
of 12,225,951 outputs
Outputs from Diabetologia
#721
of 3,621 outputs
Outputs of similar age
#37,949
of 254,959 outputs
Outputs of similar age from Diabetologia
#23
of 114 outputs
Altmetric has tracked 12,225,951 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has done well, scoring higher than 80% 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 254,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.