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Adverse associations of car time with markers of cardio-metabolic risk

Overview of attention for article published in Preventive Medicine, December 2015
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
21 news outlets
blogs
2 blogs
twitter
35 X users
facebook
2 Facebook pages

Citations

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66 Dimensions

Readers on

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106 Mendeley
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Title
Adverse associations of car time with markers of cardio-metabolic risk
Published in
Preventive Medicine, December 2015
DOI 10.1016/j.ypmed.2015.11.029
Pubmed ID
Authors

Takemi Sugiyama, Katrien Wijndaele, Mohammad Javad Koohsari, Stephanie K. Tanamas, David W. Dunstan, Neville Owen

Abstract

To examine associations of time spent sitting in cars with markers of cardio-metabolic risk in Australian adults. Data were from 2800 participants (age range: 34-65) in the 2011-12 Australian Diabetes, Obesity and Lifestyle Study. Self-reported time spent in cars was categorized into four groups: ≤15 min/day; >15 to ≤30 min/day; >30 to ≤60 min/day; and >60 min/day. Markers of cardio-metabolic risk were BMI, waist circumference, systolic and diastolic blood pressure, triglycerides, HDL-cholesterol, fasting plasma glucose, 2-hr plasma glucose, a clustered cardio-metabolic risk score, and having the metabolic syndrome or not. Multilevel linear and logistic regression analyses examined associations of car time with each cardio-metabolic risk outcome, adjusting for socio-demographic and behavioral variables and medication use for blood pressure and cholesterol/triglycerides. Compared to spending 15 min/day or less in cars, spending more than 1 hr/day in cars was significantly associated with higher BMI, waist circumference, fasting plasma glucose, and clustered cardio-metabolic risk, after adjusting for socio-demographic attributes and potentially relevant behaviors including leisure-time physical activity and dietary intake. Gender interactions showed car time to be associated with higher BMI in men only. Prolonged time spent sitting in cars, in particular over 1 hr/day, was associated with higher total and central adiposity and a more-adverse cardio-metabolic risk profile. Further studies, ideally using objective measures of sitting time in cars and prospective designs, are needed to confirm the impact of car use on cardio-metabolic disease risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 14%
Student > Master 14 13%
Researcher 8 8%
Student > Postgraduate 8 8%
Student > Ph. D. Student 7 7%
Other 22 21%
Unknown 32 30%
Readers by discipline Count As %
Nursing and Health Professions 18 17%
Medicine and Dentistry 17 16%
Social Sciences 6 6%
Sports and Recreations 6 6%
Computer Science 5 5%
Other 19 18%
Unknown 35 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 200. 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 July 2020.
All research outputs
#196,894
of 25,374,647 outputs
Outputs from Preventive Medicine
#95
of 5,009 outputs
Outputs of similar age
#2,960
of 394,674 outputs
Outputs of similar age from Preventive Medicine
#3
of 52 outputs
Altmetric has tracked 25,374,647 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 5,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. 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 394,674 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 52 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 94% of its contemporaries.