↓ Skip to main content

Use of the waist‐to‐height ratio to predict cardiovascular risk in patients with diabetes: Results from the ADVANCE‐ON study

Overview of attention for article published in Diabetes, Obesity & Metabolism, May 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
84 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
Use of the waist‐to‐height ratio to predict cardiovascular risk in patients with diabetes: Results from the ADVANCE‐ON study
Published in
Diabetes, Obesity & Metabolism, May 2018
DOI 10.1111/dom.13311
Pubmed ID
Authors

Karin Rådholm, John Chalmers, Toshiaki Ohkuma, Sanne Peters, Neil Poulter, Pavel Hamet, Stephen Harrap, Mark Woodward

Abstract

Patients with type 2 diabetes have a high risk of cardiovascular disease (CVD). Central obesity has been particularly associated with this risk relationship. We aimed to evaluate waist to height ratio (WHtR) as a predictor of risk in such patients. WHtR was evaluated as a predictor for the risk of CVD and mortality amongst 11 125 participants with type 2 diabetes in the ADVANCE and ADVANCE-ON studies, and compared with body mass index (BMI), waist circumference and waist hip ratio (WHR). The primary outcome was a composite of death from CVD, nonfatal myocardial infarction or nonfatal stroke. Secondary outcomes were myocardial infarction, stroke, cardiovascular death and death from any cause. Cox models were used, with bootstrapping to compare associations between anthropometric measures for the primary outcome. Median follow-up time was 9.0 years. There was a positive association between WHtR and adverse outcomes. The hazard ratio (HR) (confidence interval), per SD higher WHtR, was 1.16 (1.11 - 1.22) for the primary endpoint, with no heterogeneity by sex or region, but a stronger effect in people aged 66 years or older. The other three anthropometric measurements showed similar associations, although there was evidence that WHtR marginally outperformed BMI and WHR. Based on commonly used BMI cut points the equivalent WHtR cut points were estimated to be 0.55 and 0.6, with no evidence of a difference across subgroups. In patients with diabetes, WHtR is a useful indicator of future adverse risk, with similar effects in different population subgroups.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Researcher 9 11%
Student > Bachelor 9 11%
Student > Ph. D. Student 8 10%
Student > Doctoral Student 4 5%
Other 13 15%
Unknown 29 35%
Readers by discipline Count As %
Medicine and Dentistry 21 25%
Nursing and Health Professions 14 17%
Sports and Recreations 4 5%
Biochemistry, Genetics and Molecular Biology 2 2%
Materials Science 2 2%
Other 10 12%
Unknown 31 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 April 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Diabetes, Obesity & Metabolism
#3,485
of 3,582 outputs
Outputs of similar age
#300,825
of 341,536 outputs
Outputs of similar age from Diabetes, Obesity & Metabolism
#84
of 89 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 341,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.