2018
DOI: 10.1111/dom.13311
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Use of the waist‐to‐height ratio to predict cardiovascular risk in patients with diabetes: Results from the ADVANCE‐ON study

Abstract: In patients with diabetes, WHtR is a useful indicator of future adverse risk, with similar effects in different population subgroups.

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Cited by 31 publications
(36 citation statements)
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References 32 publications
(65 reference statements)
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“…WHR is the ratio of WC to hipline. A multinational study suggest that these indexes may have different values in predicting the risk of stroke, with a large proportion of them being Chinese (6). However, Jilin province is located in the northeast of China, and has a higher incidence of stroke (365/100,000 person-years) than other areas of China (326/100,000 person-years in Central China; 316/100,000 person-years in Northwest China; 275/100,000 person-years in North China; 232/100,000 person-years in East China; 154/100,000 person-years in South China; 153/100,000 person-years in Southwest China) (7).…”
Section: Introductionmentioning
confidence: 99%
“…WHR is the ratio of WC to hipline. A multinational study suggest that these indexes may have different values in predicting the risk of stroke, with a large proportion of them being Chinese (6). However, Jilin province is located in the northeast of China, and has a higher incidence of stroke (365/100,000 person-years) than other areas of China (326/100,000 person-years in Central China; 316/100,000 person-years in Northwest China; 275/100,000 person-years in North China; 232/100,000 person-years in East China; 154/100,000 person-years in South China; 153/100,000 person-years in Southwest China) (7).…”
Section: Introductionmentioning
confidence: 99%
“…The Akaike information criterion (AIC) measures goodness‐of‐fit, with smaller numbers suggesting better fit. Figure is as appears in Rådholm et al (2018)…”
Section: Epidemiological Investigationsmentioning
confidence: 66%
“…20,21 Waist-to-height was found to have a slight superiority compared to other anthropometric variables, with suggested thresholds for overweight and obesity of 0.55 and 0.6 ( Figure 5). 21 A practical advantage of this metric, compared with waist circumference as a measure of central obesity, is that these optimal thresholds appear to be consistent across sex and other key subgroups, at least amongst people with diabetes. Body mass index (BMI) was also found to be associated with the risk of a major renal event, that is, development of new macroalbuminuria, doubling of creatinine, end-stage renal disease or renal death; above a BMI of 25 kg/m 2 , there was an increasing risk with increasing BMI.…”
Section: Epidemiological Investigationsmentioning
confidence: 97%
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