↓ Skip to main content

Cardiorespiratory Fitness, Sedentary Time, and Cardiovascular Risk Factor Clustering

Overview of attention for article published in Medicine and Science in Sports & Exercise, April 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
18 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
58 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cardiorespiratory Fitness, Sedentary Time, and Cardiovascular Risk Factor Clustering
Published in
Medicine and Science in Sports & Exercise, April 2016
DOI 10.1249/mss.0000000000000819
Pubmed ID
Authors

JAVAID NAUMAN, DORTHE STENSVOLD, JEFF S. COOMBES, ULRIK WISLØFF

Abstract

Prolonged sedentary time (ST) is associated with cardiovascular risk factors (CV-RF) independent of physical activity (PA). Whether a high level of cardiorespiratory fitness (CRF) can modify the deleterious health consequences related to high ST is not known. Cross-sectional study of 12274 men and 14209 women (≥20 years) without known cardiovascular disease. Self-reported ST measurements during a regular day were divided into three sex specific equally sized groups (≤4, 5-<7, and ≥7h/day). CRF was estimated (eCRF) using a previously validated non-exercise model. Using logistic regression analyses, adjusted odds ratios and 95% confidence intervals (OR (95% CI)) were estimated for the association of ST with CV-RF clustering, and for the potential modifying effect of eCRF. Each hour increase in ST was associated with 5% and 4% greater likelihood of having a CV-RF clustering independent of PA in men and women, respectively. Among participants with higher levels of eCRF, the adjusted ORs associated with ≥7h/day of ST were 0.92 (0.56-1.51) for men, and 1.16 (0.49-2.74) for women, compared with the men and women with low ST (≤4h/day) and high eCRF levels. In combined analyses of eCRF, PA and ST, compared with the reference group of participants meeting the recommendations, ≤4h/day of ST and high eCRF, the ORs were 0.63 (0.27-1.44) and 0.65 (0.14-3.07) in fit men and women with ≥7h/day of ST, and not meeting the recommendations. Men and women meeting the PA recommendations, but being unfit had significantly increased odds of having CV-RF clustering across levels of ST. High levels of eCRF abolished the increased odds of having a clustering of CV-RF associated with high ST, even among those individuals who did not meet current PA recommendations.

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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Researcher 8 14%
Student > Ph. D. Student 6 10%
Student > Doctoral Student 6 10%
Student > Bachelor 3 5%
Other 11 19%
Unknown 12 21%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Nursing and Health Professions 10 17%
Sports and Recreations 10 17%
Agricultural and Biological Sciences 3 5%
Psychology 3 5%
Other 5 9%
Unknown 16 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 25 February 2022.
All research outputs
#1,182,550
of 25,373,627 outputs
Outputs from Medicine and Science in Sports & Exercise
#1,074
of 7,053 outputs
Outputs of similar age
#20,349
of 314,719 outputs
Outputs of similar age from Medicine and Science in Sports & Exercise
#27
of 244 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one has done well, scoring higher than 84% 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 314,719 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 93% of its contemporaries.
We're also able to compare this research output to 244 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.