Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices

Ho, Sai Yin; Lam, Tai-Hing; Janus, Edward

doi:10.1016/s1047-2797(03)00067-x

Cited by 218 publications

(242 citation statements)

References 23 publications

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“…A Chinese study reported that waist‐to‐stature ratio (or saying WHtR) is the best simple anthropometric indicator in predicting a wide range of cardiovascular risk factors and related health conditions. The optimal waist‐to‐stature ratio cut‐off value was 0.48 for both men and women27. In the present analyses, WHtR cut‐off values were 0.50 and 0.52 in men and women, respectively.…”

Section: Discussionmentioning

confidence: 44%

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Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Pan

Wang

et al. 2016

J of Diabetes Invest

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Aims/IntroductionThe aim of the present study was to compare the cut‐off values and prediction effect of different obesity indices by different definitions of metabolic syndrome (MetS) in Zhejiang Province of China.Materials and MethodsWe carried out a cross‐sectional survey of 10,100 individuals (age 40 years and older) in Jiashan, Zhejiang Province. Receiver operating characteristic analysis was used to examine discrimination and find optimal cut off values of waist circumference (WC), body mass index (BMI), waist‐to‐hip ratio (WHR) and waist‐to‐height ratio (WHtR) to predict two or more non‐adipose components of MetS by The National Cholesterol Education Program Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) definition modified by the Asia–Pacific region criteria, International Diabetes Federation definition for the Chinese population and Chinese Diabetes Society definitions of MetS.ResultsThe age‐standardized prevalence of MetS was 23.78% vs 28.76% vs 19.37% by The National Cholesterol Education Program Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III), International Diabetes Federation and Chinese Diabetes Society definitions, respectively. Cut‐off values of BMI were approximately 24 kg/m2 both in men and women by three definitions; the average cut‐off values of WC, WHR and WHtR were 83 cm in men vs 81 cm in women, 0.89 in men vs 0.86 in women and 0.50 in men vs 0.51 in women, respectively. The area under receiver operating characteristic curve of BMI was larger than WC both in men and women (P < 0.05); in women, the area under receiver operating characteristic curve of WHtR was larger than WC, and WHR was smaller.ConclusionsMetS is prevalent in Zhejiang Province of China, especially in the female population. BMI and WHtR might be more useful than WC and WHR for predicting two or more non‐adipose components of MetS.

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Section: Discussionmentioning

confidence: 44%

“…WHtR has received considerable interest, and the results suggest keeping one's waist to less than half one's height25, 26, 27. A Chinese study reported that waist‐to‐stature ratio (or saying WHtR) is the best simple anthropometric indicator in predicting a wide range of cardiovascular risk factors and related health conditions.…”

Section: Discussionmentioning

confidence: 99%

Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Pan

Wang

et al. 2016

J of Diabetes Invest

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“…Previous literature has found that the WHtR, rather than BMI and WC, was more strongly correlated with cardiovascular comorbidities and was better at predicting the metabolic syndrome in adults and cardiovascular health risks, such as high BP and high blood lipids, in adults and children (18,(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37) .…”

Section: Discussionmentioning

confidence: 99%

Developing waist-to-height ratio cut-offs to define overweight and obesity in children and adolescents

Nambiar

Hughes

Davies

2010

Public Health Nutr.

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Objective: The waist-to-height ratio (WHtR) assesses abdominal adiposity and has been proposed to be of greater value in predicting obesity-related cardiovascular health risks in children than BMI. The present study aims to develop WHtR cutoffs for overweight and obesity based on the 85th and 95th percentiles for the percentage body fat (%BF) in a cohort of children and adolescents. Design: Waist circumference (WC), height, triceps and subscapular skinfolds were used to calculate WHtR and %BF. Correlations between WHtR and %BF and WHtR/mid-abdominal skinfold were made. Receiver-operating characteristic (ROC) curve analysis was used to select WHtR cut-offs to define overweight and obesity. Subjects were grouped by WHtR cut-offs, and mean values for anthropometry, blood lipids and blood pressure (BP) variables were compared. Setting: Australian primary and secondary schools. When comparing the highest WHtR group to the lowest, both sexes had significantly higher means for weight, WC, %BF, TG (male subjects only), systolic BP (female subjects only) and lower means for HDL cholesterol (P , 0?05). Conclusions: WHtR is useful in clinical and population health as it identifies children with higher %BF at greater risk of developing weight-related CVD at an earlier age.

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“…, waist:hip ratio; , waist:stature ratio) for hypertension among female subjects (n 15 521) from fourteen Chinese general populations, mainland China. indicates area under the curve of 0?5 (line indicating no discriminative capability) tests, and were first used by Ho et al in 2003 to select the best index in relation to cardiovascular risks, including hypertension, SBP and DBP (15) . Ho et al reported in their study that WSR was more strongly associated with hypertension, SBP and DBP than other simple anthropometric indices.…”

Section: Tablementioning

confidence: 99%

“…Another index to measure abdominal adiposity is the CI (14) , introduced in 1991 by Valdez, who claimed that CI has several advantages over WHR. Ho et al reported that WSR was more strongly associated with cardiovascular risk factors than other simple anthropometric indices among Hong Kong Chinese adults (15) . Savva et al indicated that WSR and WC were both better associated with CVD risk factors than BMI in children (16) .…”

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confidence: 99%

Association between obesity indices and blood pressure or hypertension: which index is the best?

Zhou

Chen

2009

Public Health Nutr.

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Background: The association between obesity and blood pressure is well documented and a series of obesity indices are used as risk factors or indicators of blood pressure and/or the presence of hypertension. Objective: The aim of the present study was to explore and determine which obesity index is the best indicator of blood pressure and the presence of hypertension among five frequently used simple anthropometric indices. Methods: Subjects (n 29 079) were selected by cluster sampling from fourteen Chinese general populations. Weight, height, waist circumference (WC), hip circumference and blood pressure were measured for each participant. BMI, waist:hip ratio (WHR), waist:stature ratio (WSR) and conicity index (CI) were calculated. Pearson correlation, multiple logistic regression, multivariate linear regression and receiver-operating characteristic (ROC) curve analyses were used. Results: A total of 13 558 men and 15 521 women were investigated. All five obesity indices were positively correlated with blood pressures and hypertension. After adjusting for age, WSR in men and BMI in women had the greatest association with the presence of hypertension, irrespective of the statistical method used. BMI had the strongest correlation with continuous blood pressures in both genders. Conclusion:The present results indicate that hypertension is associated with different obesity indices in men and in women. The best indicator for hypertension is WSR in men while it is BMI in women.

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Waist to stature ratio is more strongly associated with cardiovascular risk factors than other simple anthropometric indices

Cited by 218 publications

References 23 publications

Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Optimal cut‐off levels of obesity indices by different definitions of metabolic syndrome in a southeast rural Chinese population

Developing waist-to-height ratio cut-offs to define overweight and obesity in children and adolescents

Association between obesity indices and blood pressure or hypertension: which index is the best?

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