Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference

Liu, Peng Ju; Ma, Fang; Liu, Hui; Zhu, Yichao

doi:10.1017/s1368980016003281

Cited by 28 publications

(38 citation statements)

References 46 publications

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“…The World Health Organization Working Group on Obesity recommends WC cutoff values of 85 cm for men and 80 cm for women, which are lower than those determined here (95.5 and 88.5 cm for middle-aged and elderly men, respectively; and 83.5 and 83.5 cm for middle-aged and elderly women, respectively). Our BMI ranges (23.86-24.01 for men and 24.08-23.57 for women) were similar to those in previous studies (22.65-24.12 for men and 23.53-27.7 for women) [17,31,32,35], and the same was true for WHtR (0.54-0.55 for men and 0.51-0.52 for women in the present study vs 0.47-0.54 and 0.47-0.54, respectively, in previous reports) [17,24,31,32,35,36,[38][39][40]. Notably, values obtained in a study conducted in Spain (WC, 90.5 cm; BMI, 26.6; WHtR, 0.54 for both sexes) [34]were much higher than those in Asian cohorts.…”

Section: Discussionsupporting

confidence: 92%

“…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%

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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: 92%

Section: Discussionsupporting

confidence: 72%

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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“…However, BRI is limited in predicting percentage of fat mass in elite athletes when compared with other commonly and readily available field methods such as bio‐impedance analysis or skinfold prediction models 63 . Several recent studies have shown that BRI could be used as an adipose indicator for determining the presence of eccentric left ventricular hypertrophy, 64 hyperuricaemia, 41,65 arterial stiffness, 66–69 CVD, 70,71 diabetes, 41,72–75 dyslipidaemia, 41,76–78 hypertension 41,79,80 and MetS 41–55 …”

Section: Discussionmentioning

confidence: 99%

“…BRI is a predictor of body fat percentage and visceral adiposity tissue, and its values range from 1 to 16 35 . Although studies have compared the prediction of MetS by BRI with traditional and novel anthropometric indices, 41–55 there is currently no meta‐analysis indicating whether BRI is a better predictor of MetS than BMI, WC, WHR, WHtR, ABSI or BAI. Therefore, this meta‐analysis aims to investigate whether BRI is superior to BMI WC, WHR, WHtR, ABSI or BAI in predicting MetS.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis

et al. 2020

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Body roundness index (BRI) is a new anthropometric index developed to predict both body fat and the percentage of visceral adipose tissue. Our aim was to investigate whether BRI is superior to traditional anthropometric indices in predicting metabolic syndrome (MetS). This systematic review and meta-analysis was conducted using Pubmed, Scopus and Web of Sciences databases. The estimated pooled areas under curve (AUCs) for BRI predicting MetS was higher than body mass index (BMI), waistto-hip ratio (WHR), body shape index (ABSI) and body adiposity index (BAI), similar to waist circumference (WC) and lower than waist-to-height ratio (WHtR). However, the difference between BRI and BMI, WC and WHtR predicting MetS was statistically non-significant. Similar results were found with the summary receiver operating characteristic curve (AUC-SROC). In addition, the non-Chinese population had pooled AUCs greater than the Chinese population for all indices. Pooled ORs showed that BRI is associated with an increased MetS risk. In conclusion, BRI had good discriminatory power for MetS in adults of both sexes from diverse populations (AUC > 0.7; AUC-SROC>0.7). However, WC and WHtR offer the best performance when screening for MetS, and non-significant differences were found with BRI. In contrast, BRI was superior to BMI, WHR, ABSI and BAI in predicting MetS. K E Y W O R D Santhropometric indices, body roundness index, metabolic syndrome, review

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“…A pesar de los esfuerzos realizados a nivel de salud pública, la obesidad ha aumentado en las últimas décadas, convirtiéndose en uno de los principales factores de riesgo de morbilidad y mortalidad [1][2][3] . En el año 2014, más de 600 millones de adultos a nivel mundial presentaban esta enfermedad 4 .…”

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Factores asociados al desarrollo de obesidad en Chile: resultados de la Encuesta Nacional de Salud 2009-2010

et al. 2017

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Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference

Abstract: When evaluating cardiometabolic risk factors among non-obese adults, WHtR was a simple and effective index in the assessment of cardiometabolic risk factors, BRI could be used as an alternative body index to WHtR, while ABSI could not.

Cited by 28 publications

References 46 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

Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta‐analysis

Factores asociados al desarrollo de obesidad en Chile: resultados de la Encuesta Nacional de Salud 2009-2010

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