A simple cut-off for waist-to-height ratio (0·5) can act as an indicator for cardiometabolic risk: recent data from adults in the Health Survey for England

Gibson, Sigrid; Ashwell, Margaret

doi:10.1017/s0007114519003301

Cited by 39 publications

(26 citation statements)

References 66 publications

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“…BMI showed the strongest association in adults [18] or only in one sex [10,17,18], while associations for 3 parameters were nonsigni cant for men after adjustments [5]. However, others have reported results similar to ours [21,[23][24][25][26][27], including a cohort study in which subjects in the highest quartile of WHtR were 4.51 times more likely to have hypertension [28]. A systematic review also found that WHtR was the best parameter for predicting cardiometabolic risk factors, including hypertension [29].…”

Section: Discussionsupporting

confidence: 72%

“…There were no signi cant differences in the predictive capacities of WC, BMI, and WHtR between men and women [31]; and the predictive values of BMI, WC, and WHtR were found to differ signi cantly between men and women [5], with a better performance in the latter [34]. WHtR has also been proposed as the best predictor of PWV or hypertension [25,[35][36][37].…”

Section: Discussionmentioning

confidence: 99%

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Comparison of Obesity-Related Parameters as Predictors of High Pulse Wave Velocity in Middle-Aged and Elderly People in China: A Multicenter Cross-Sectional Community-Based Study

Sun

Xie

Ma³

2020

Preprint

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Background: The association between fat-related parameters and occurrence of high pulse wave velocity (PWV) in Chinese middle-aged and elderly people is unknown, especially when booy composition indicators are compared.Methods: A total of 3219 middle-aged and elderly subjects who were recruited from 6 community health service centers located in Hefei, Bengbu, and Chuzhou met the inclusion criteria and had valid data. E-health promotion system was used to collect health basic data, and brachial-ankle pulse wave (baPWV) and body composition of each subject were measured. Partial correlation and binary logistic regression analyses were performed to identify associations between fat-related parameters and high PWV, and receiver operating characteristic curves were analyzed for optimal cutoff values and predictive capacity for high PWV.Results: The highest partial correlation coefficients (adjusted for age) for waist-to-height ratio (WHtR) were in middle-aged women and elderly men (range, 0.1-0.31); and that for waist circumference (WC) were in elderly women and middle-aged men (range, 0.12-0.29). WHtR explained the largest proportion of variation for dependent variables, with an R2 value ranging from 0.088 to 0.216 in Model 1; the beta of WC was slightly higher than that of WHtR in elderly women in Models 2 and 3. The predictive capacities of these parameters were lower in men. The area under the receiver operating characteristic curve was higher for WHtR (0.573–0.693) than for the other parameters in both men and women, with optimal cutoff values of 0.51-0.54.Conclusions: WHtR and WC may be useful for community-based screening of women ≥40 years as a secondary preventative measure for high PWV. These 2 parameters can be used in conjunction with others (eg., body composition index) to predict the risk of high PWV based on region, age, and sex.

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Section: Discussionsupporting

confidence: 72%

Section: Discussionmentioning

confidence: 99%

Comparison of Obesity-Related Parameters as Predictors of High Pulse Wave Velocity in Middle-Aged and Elderly People in China: A Multicenter Cross-Sectional Community-Based Study

Sun

Xie

Ma³

2020

Preprint

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“…Indeed, it was reported that WHtR identified people with early health risks better than a matrix that combined BMI and WC. 26,27 In a study that compared the predictive ability of multiple anthropometric indices and other parameters, TyG-WC was reported to be the best. 28 But TyG-WHtR was not included for comparison in their study.…”

Section: Fig 1 Roc Curves Formentioning

confidence: 99%

Triglyceride-Glucose Index and Related Parameters Predicted Metabolic Syndrome in Nigerians

Raimi

Dele-Ojo

Dada

et al. 2021

Metabolic Syndrome and Related Disorders

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Background: Triglyceride-glucose (TyG) index, a product of triglyceride and fasting plasma glucose, is a novel tool that can identify people with metabolic syndrome (MS). It is unknown if TyG index can identify MS among Nigerians. Methods: Cross-sectional health screening conducted between August and December 2018, among staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Nigeria, Ado-Ekiti. The analysis included 473 participants, aged ≥18 years. Anthropometric indices and blood pressure were measured by standard protocol. Fasting lipid profile and blood glucose were determined. TyG index and product of TyG and anthropometric indices were calculated, and MS defined according to the harmonized criteria. The diagnostic ability of TyG index and related parameters to identify people with MS was determined with the area under curve (AUC) of receiver operating characteristic curves. Stepwise logistic regression analyses were used to generate odd ratios (ORs) for prediction of MS. Results: The mean age of the participants was 39.2 (11.4) years and there were 173 (36.6%) men. In all participants, TyG-waist to height ratio (TyG-WHtR) shows the largest AUC for MS detection (0.863, 95% confidence interval, CI: 0.828–0.892) followed by TyG-waist circumference (TyG-WC) (0.858, 95% CI: 0.823–0.888), TyG-body mass index (TyG-BMI) (0.838, 95% CI: 0.802–0.870), TyG index (0.796, 95% CI: 0.757–0.831), WHtR (0.791, 95% CI: 0.752–0.827), and TyG-waist-to-hip ratio (TyG-WHpR) (0.771, 95% CI: 0.730–0.808) in that order. Gender analysis revealed that TyG-WC and TyG-WHtR have largest AUC in both genders. Before and after adjustment, TyG-WHtR (OR: 6.86, 95% CI: 3.94–11.93) and TyG index (OR: 5.91, 95% CI: 3.01–11.59) presented the highest OR in all participants, respectively. Conclusions: TyG index is effective in identifying MS in this cross-sectional study, and the product of TyG index and anthropometric indices improved identification and prediction of MS.

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“…Of BMI and waist‐to‐height ratio (WHtR), the latter is a better indicator of cardiometabolic risk (Ashwell et al . 2012; Gibson & Ashwell 2019) as it measures central obesity. Data from other populations on associations with egg consumption are conflicting.…”

Section: Discussionmentioning

confidence: 99%

“…Although egg consumers reported higher energy intakes than non-consumers, indices of body weight or obesity were either similar for consumers and nonconsumers, or significantly lower in the case of women. Of BMI and waist-to-height ratio (WHtR), the latter is a better indicator of cardiometabolic risk (Ashwell et al 2012;Gibson & Ashwell 2019) as it measures central obesity. Data from other populations on associations with egg consumption are conflicting.…”

Section: Cardiometabolic Risk Factorsmentioning

confidence: 99%

Evaluating current egg consumption patterns: Associations with diet quality, nutrition and health status in the UK National Diet and Nutrition Survey

Gibson¹,

Gray²

2020

Nutrition Bulletin

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Dietary habits are constantly evolving with changes in culture, economics and the food supply. In the UK, red meat intakes have been declining for more than a decade, while egg consumption has increased in tandem with interest in healthy, sustainable diets. To explore current dietary habits of egg consumers and non‐consumers and potential implications for nutrition and health, we analysed dietary records from 647 adults participating in Year 9 (2017) of the UK National Diet and Nutrition Survey (NDNS). Mean consumption of eggs and egg dishes was 29 g/day (3.5 eggs/week). Female egg consumers (n = 224; mean 46 g/day, 5 eggs/week) ate more fruit, vegetables and fish and had significantly higher dietary intakes of protein, monounsaturated fatty acids, n‐3 polyunsaturated fatty acids and most micronutrients, notably vitamin D, most B vitamins, vitamin C, iron, zinc and selenium, compared with non‐consumers (n = 150). They also had higher plasma levels of 25‐hydroxyvitamin D, total carotenoids, selenium and ferritin and were less likely to be anaemic. Female egg consumers had a lower mean body mass index and waist circumference, despite reporting a higher mean energy intake than non‐consumers. Male egg consumers (n = 159; mean 54 g/day, 6 eggs/week) had higher dietary intakes of vitamin D, biotin, iodine and selenium but similar micronutrient status and bodyweight to non‐consumers (n = 114). There were no significant differences in cardiometabolic risk factors for either sex. Egg consumption appears to be associated with signs of higher dietary quality, better nutritional status, and slightly lower body mass index among women participating in the latest NDNS.

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A simple cut-off for waist-to-height ratio (0·5) can act as an indicator for cardiometabolic risk: recent data from adults in the Health Survey for England

Cited by 39 publications

References 66 publications

Comparison of Obesity-Related Parameters as Predictors of High Pulse Wave Velocity in Middle-Aged and Elderly People in China: A Multicenter Cross-Sectional Community-Based Study

Comparison of Obesity-Related Parameters as Predictors of High Pulse Wave Velocity in Middle-Aged and Elderly People in China: A Multicenter Cross-Sectional Community-Based Study

Triglyceride-Glucose Index and Related Parameters Predicted Metabolic Syndrome in Nigerians

Evaluating current egg consumption patterns: Associations with diet quality, nutrition and health status in the UK National Diet and Nutrition Survey

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