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Corresponding waist circumference and body mass index values based on 10-year absolute type 2 diabetes risk in an Australian Aboriginal community

Overview of attention for article published in BMJ Open Diabetes Research & Care, September 2015
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Title
Corresponding waist circumference and body mass index values based on 10-year absolute type 2 diabetes risk in an Australian Aboriginal community
Published in
BMJ Open Diabetes Research & Care, September 2015
DOI 10.1136/bmjdrc-2015-000127
Pubmed ID
Authors

Odewumi Adegbija, Wendy E Hoy, Zhiqiang Wang

Abstract

There is a lack of waist circumference (WC) thresholds to identify Aboriginal individuals at high risk of type 2 diabetes. We generated gender-specific WC values with equivalent 10-year absolute risk of type 2 diabetes as body mass index (BMI) points in an Australian Aboriginal community to contribute to guidelines needed for establishing WC cut-off points for Aboriginals. A cohort of 803 adult participants free from type 2 diabetes in an Aboriginal community was followed up for up to 20 years. We derived WC values with absolute risks equivalent for the development of type 2 diabetes as BMI values (20-35 kg/m(2)) using the Weibull accelerated failure-time model. After a mean follow-up of 15.7 years, 110 participants developed type 2 diabetes. Absolute risk of type 2 diabetes increased as WC increased, ranging from 3.52% (WC=77.5 cm) to 14.14% (WC=119.9 cm) in males, and 5.04% (WC=79.5 cm) to 24.25% (WC=113.7 cm) in females. In males, WC values with same absolute risks of type 2 diabetes as BMI values were 77.5 cm for BMI=20 kg/m(2), 91.5 cm for BMI=25 kg/m(2) (overweight threshold), 105.7 cm for BMI=30 kg/m(2) (obesity threshold) and 119.9 cm for BMI=35 kg/m(2). In females, WC values were 79.5 cm for BMI=20 kg/m(2), 90.9 cm for BMI=25 kg/m(2), 102.3 cm for BMI=30 kg/m(2) and 113.7 cm for BMI=35 kg/m(2). Interaction between WC and gender was not statistically significant (p=0.53). The absolute risk of type 2 diabetes increased with higher WC measured at baseline screening. Males were not significantly different from females in the association between WC and type 2 diabetes. Our findings are useful contributions for future establishment of WC cut-off points for identifying high-risk individuals in Aboriginal people.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Student > Master 3 15%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Lecturer 1 5%
Other 4 20%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Biochemistry, Genetics and Molecular Biology 2 10%
Nursing and Health Professions 2 10%
Environmental Science 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 6 30%
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 17 September 2015.
All research outputs
#18,426,826
of 22,828,180 outputs
Outputs from BMJ Open Diabetes Research & Care
#800
of 951 outputs
Outputs of similar age
#176,501
of 245,084 outputs
Outputs of similar age from BMJ Open Diabetes Research & Care
#19
of 23 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 951 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 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.