Waist-height ratio: How well does it predict glucose intolerance and systemic hypertension?

Lawal, Yakubu; Bello, Fatima; Anumah, Felicia; Bakari, AG

doi:10.1016/j.diabres.2019.107925

Cited by 5 publications

(5 citation statements)

References 20 publications

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“…Moreover, it is noteworthy that Jayedi et al's recent meta-analysis of 216 cohort studies, which was published in the BMJ, demonstrated that WHtR was more closely linked to T2DM in routine assessments than WC, waist-to-hip ratio, and BMI (73). With some reports demonstrate that WHtR had higher predictive power than WC and BMI (74,75). The cut-off values for BMI and WC are greatly impacted by gender differences, and both BMI and WC have various limits (76).…”

Section: Discussionmentioning

confidence: 99%

Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study

Wang,

Zhang,

et al. 2024

Front. Endocrinol.

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ObjectiveType 2 diabetes mellitus (T2DM) remains a major and widespread public health concern throughout the world. The prevalence of T2DM in the elderly has risen to the top of the list of public health concerns. In this study, obesity- and lipid-related indices were used to predict T2DM in middle-aged and elderly Chinese adults.MethodsThe data came from the China Health and Retirement Longitudinal Study (CHARLS), including 7902 middle-aged and elderly participants aged 45 years or above. The study assessed the association of obesity- and lipid-related indices and T2DM by measuring 13 indicators, including body mass index (BMI), waist circumference(WC), waist-height ratio (WHtR), conicity index(CI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The association of 13 obesity- and lipid-related indices with T2DM was investigated by binary logistic regression. Additionally, the predictive anthropometric index was evaluated, and the ideal cut-off value was established using the receiver operating characteristic (ROC) curve analysis and area under the curve (AUC).ResultsThe study included 7902 participants, of whom 3638(46.04) and 4264(53.96) were male and female. The prevalence of T2DM in mid-aged and old adults in China was 9.02% in males and 9.15% in females. All the above 13 indicators show a modest predictive power (AUC>0.5), which was significant for predicting T2DM in adults (middle-aged and elderly people) in China (P<0.05). The results revealed that TyG-WHtR [AUC =0.600, 95%CI: 0.566–0.634] in males and in females [AUC =0.664, 95%CI: 0.636–0.691] was the best predictor of T2DM (P<0.05).ConclusionMost obesity- and lipid-related indices have important value in predicting T2DM. Our results can provide measures for the early identification of T2DM in mid-aged and elderly Chinese to reduce the prevalence of T2DM and improve health.

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Section: Discussionmentioning

confidence: 99%

Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study

Wang,

Zhang,

et al. 2024

Front. Endocrinol.

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“…Further analysis using logistic regression showed that WHtR had the highest odds ratio in the prediction of peripheral neuropathy compared to WC and BMI. Though, some studies have reported the significant abilities of obesity indices to predict cardiovascular diseases ( 1 , 2 , 5 ), with some reports demonstrating that WHtR had higher predictive power than WC and BMI ( 3 , 4 ), very few studies have ventured into the predictive abilities of these obesity indices for peripheral neuropathy ( 8 , 9 ). However, Bulum et al ( 11 ) reported that WHtR was more accurate than WC in predicting diabetic nephropathy, which is also a microvascular complication of DM.…”

Section: Discussionmentioning

confidence: 99%

“…It is the ratio of waist circumference (WC) as the numerator and height as the denominator, all in the same units. Generally, it has been reported that WHtR is a more accurate measure of metabolically significant obesity than body mass index (BMI), WC, and waisthip ratio (WHR) (1)(2)(3)(4).…”

Section: Introductionmentioning

confidence: 99%

Comparison of waist-height ratio and other obesity indices in the prediction of diabetic peripheral neuropathy

Lawal

Mshelia-Reng²,

Omonua³

et al. 2022

Front. Nutr.

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BackgroundWaist-height ratio (WHtR) is increasingly being studied as a simple and effective measure of central obesity. Reports have shown that WHtR is a better predictor of hypertension, diabetes, and cardiovascular diseases when compared to traditional obesity indices like body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR). This study is therefore aimed at comparing WHtR with other obesity indices in the prediction of peripheral neuropathy in persons with diabetes mellitus (DM).MethodologyOne thousand and forty persons with DM were enrolled following consent. Relevant details of history were obtained, followed by physical examinations. Data were analyzed using IBM-SPSS version 23. Logistic regression was used to compare the odds ratio of obesity indices in the prediction of peripheral neuropathy. The level of significance used was p = 0.05.ResultsLogistic regression showed that WHtR had the highest odds ratio (OR) for the prediction of “probable” diabetic peripheral neuropathy (OR 9.11, 95% CI 3.07–47.97, p = 0.002), followed by WC (OR 2.01, 95% CI 1.09–4.05, p = 0.004), and BMI (OR 1.26, 95% CI 1.00–3.99, p = 0.019) after correction for age; systemic hypertension; duration of DM; control of SBP, DBP, HbA1c, FPG, and 2HrPP.ConclusionWHtR has the highest odds ratio in the prediction of “probable” diabetic peripheral neuropathy in both genders, followed by WC in the males and BMI in the females.

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“…Our research not only agreed with theirs, but also complement the features of young women (34). Populations from Northern Nigerian were used to demonstrate that WHtR had the highest predictive power for glucose intolerance compared to BMI, WC, and WHR (35). Some Mexican scholars provided evidence that WHtR could predict the risk assessment of type 2 diabetes mellitus in Mexican population (36).…”

Section: Discussionmentioning

confidence: 99%

The adiposity indicators in relation to diabetes among adults in China: a cross-sectional study from China Health and Nutrition Survey

Qian¹,

Sun²,

Zhang³

et al. 2022

Ann Palliat Med

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Background: Diabetes is a metabolic disease which has been confirmed to be involved with abnormal or excessive body fat accumulation. There is still a lack of nationwide research in China to discuss the relationship between adiposity indicators included body mass index (BMI), waist circumference (WC), visceral adiposity index, waist-height ratio, waist-to-hip ratio (WHR) and diabetes. The question of which one is the best indicator of obesity to predict diabetes in China remains to be unclear.Methods: Data were collected from the China Health and Nutrition Survey (CHNS) in 2009, including 7,930 participants aged over 18 years old for cross-sectional analysis. Information about height, weight, WC, hip circumference, smoking status, alcohol consumption, physical activity, energy intake and blood samples were analyzed. Binary logistic regression models were used to explore the association of WC, BMI, WHR, waist-to-height ration (WHtR) and visceral adipose index (VAI) with the prevalence of diabetes in the 2009 CHNS respectively. Predictive potential of five adiposity indicators was validated by the area under the receiver operator characteristic curve (AUROC). The optimal cut-off points were determined by Youden's index, which was used to estimate the performance of adiposity indicators. Results:The study shows patients in the highest quartile were more likely to have diabetes than those

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Waist-height ratio: How well does it predict glucose intolerance and systemic hypertension?

Cited by 5 publications

References 20 publications

Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study

Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study

Comparison of waist-height ratio and other obesity indices in the prediction of diabetic peripheral neuropathy

The adiposity indicators in relation to diabetes among adults in China: a cross-sectional study from China Health and Nutrition Survey

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