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Physical activity and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis

Overview of attention for article published in European Journal of Epidemiology, June 2015
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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 (#42 of 1,311)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Citations

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274 Dimensions

Readers on

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524 Mendeley
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2 CiteULike
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Title
Physical activity and the risk of type 2 diabetes: a systematic review and dose–response meta-analysis
Published in
European Journal of Epidemiology, June 2015
DOI 10.1007/s10654-015-0056-z
Pubmed ID
Authors

Dagfinn Aune, Teresa Norat, Michael Leitzmann, Serena Tonstad, Lars Johan Vatten

Abstract

We investigated the association between specific types of physical activity and the risk of type 2 diabetes in a systematic review and meta-analysis of published studies. PubMed, Embase and Ovid databases were searched for prospective studies and randomized trials up to 2nd of March 2015. Summary relative risks (RRs) were calculated using a random effects model. Eighty-one studies were included. The summary RRs for high versus low activity were 0.65 (95 % CI 0.59-0.71, I(2) = 18 %, n = 14) for total physical activity, 0.74 (95 % CI 0.70-0.79, I(2) = 84 %, n = 55) for leisure-time activity, 0.61 (95 % CI 0.51-0.74, I(2) = 73 %, n = 8) for vigorous activity, 0.68 (95 % CI 0.52-0.90, I(2) = 93 %, n = 5) for moderate activity, 0.66 (95 % CI 0.47-0.94, I(2) = 47 %, n = 4) for low intensity activity, and 0.85 (95 % CI 0.79-0.91, I(2) = 0 %, n = 7) for walking. Inverse associations were also observed for increasing activity over time, resistance exercise, occupational activity and for cardiorespiratory fitness. Nonlinear relations were observed for leisure-time activity, vigorous activity, walking and resistance exercise (p nonlinearity < 0.0001 for all), with steeper reductions in type 2 diabetes risk at low activity levels than high activity levels. This meta-analysis provides strong evidence for an inverse association between physical activity and risk of type 2 diabetes, which may partly be mediated by reduced adiposity. All subtypes of physical activity appear to be beneficial. Reductions in risk are observed up to 5-7 h of leisure-time, vigorous or low intensity physical activity per week, but further reductions cannot be excluded beyond this range.

Twitter Demographics

The data shown below were collected from the profiles of 32 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 524 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
Greece 1 <1%
Croatia 1 <1%
Unknown 518 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 111 21%
Student > Ph. D. Student 86 16%
Student > Bachelor 85 16%
Researcher 51 10%
Student > Postgraduate 30 6%
Other 100 19%
Unknown 61 12%
Readers by discipline Count As %
Medicine and Dentistry 145 28%
Nursing and Health Professions 78 15%
Sports and Recreations 64 12%
Agricultural and Biological Sciences 31 6%
Social Sciences 30 6%
Other 81 15%
Unknown 95 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 10 February 2020.
All research outputs
#290,367
of 15,625,699 outputs
Outputs from European Journal of Epidemiology
#42
of 1,311 outputs
Outputs of similar age
#4,874
of 233,946 outputs
Outputs of similar age from European Journal of Epidemiology
#2
of 14 outputs
Altmetric has tracked 15,625,699 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,311 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 96% 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 233,946 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 97% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.