Waist:height ratio: a superior index in estimating cardiovascular risks in Turkish adults

Meseri, Reci; Uçku, Reyhan; Unal, Belgin

doi:10.1017/s136898001300267x

Cited by 37 publications

(34 citation statements)

References 39 publications

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“…Some studies reported that BMI or WC was the best predictor of incident hypertension [11,13,14,24]. While others declared that WHTR was superior to predict the incidence of hypertension [6,25,26]. In the present study, BMI and WC, as the classical general and abdominal obesity indicators, were superior to predict the development of hypertension in Chinese men and women, which was consistent with previous studies [5,27,28].…”

Section: Discussionsupporting

confidence: 91%

Is Waist-to-Height Ratio Superior to Body Mass Index and Waist Circumference in Predicting the Incidence of Hypertension?

Tian

et al. 2019

Ann Nutr Metab

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Background: It is still controversial which anthropometric indicator could be the best predictor of the incident hypertension. Objectives: To examine the relative power of body mass index (BMI), waist circumference (WC), skinfold thickness, waist-to-hip ratio (WHR), and waist-to-height ratio (WHTR) in predicting the incidence of hypertension in Chinese adults. Method: Data were obtained from the China Health and Nutrition Survey. Overweight was defined as BMI ≥23 kg/m² and general obesity as BMI ≥27.5 kg/m². Abdominal obesity was defined by WC values ≥90 cm for males and ≥80 cm for females. Skinfold thickness, WHR, and WHTR were divided into low and high groups according to receiver operating characteristics. Cox regressions and nomograms were employed to compare the relative power of 5 indicators in predicting incident hypertension. Results: When all indicators were analyzed simultaneously, the best predictor of incident hypertension was general obesity (p < 0.001, adjusted hazard ratio [HR] 1.9, 95% CI 1.6–2.2). The results stratified by sex showed that BMI and WC were the more powerful predictors of hypertension in males (adjusted HR 1.8 and 1.3, 95% CI 1.4–2.3 and 1.1–1.5, respectively) as well as in females (adjusted HR 2.0 and 1.4, 95% CI 1.6–2.4 and 1.2–1.6, respectively). Conclusions: BMI and WC may predict incident hypertension better than skinfold thickness, WHR, and WHTR in the Chinese population.

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Section: Discussionsupporting

confidence: 91%

Is Waist-to-Height Ratio Superior to Body Mass Index and Waist Circumference in Predicting the Incidence of Hypertension?

Tian

et al. 2019

Ann Nutr Metab

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“…9–11 Reports employing the SADHtR have been infrequent, 17,18 but among Finnish adults (ages ≥30 years) the population-based distribution of SADHtR has been described from a national survey conducted in 2000–2001. 49 The Finnish distributions of SADHtR resembled the US distributions in 2011–2012, reported here in Table 2.…”

Section: Discussionmentioning

confidence: 99%

“…The waist circumference has been widely employed as a proxy measure of abdominal adipose tissue, 7,8 although the waist circumference/height ratio (WHtR) may represent an anthropometric improvement because it roughly controls for variation in adult stature. 9–11 Neither waist circumference nor WHtR, however, distinguishes between adipose tissue accumulated within, as opposed to outside, the visceral compartment.…”

mentioning

confidence: 99%

Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders

Kahn¹,

Bullard²

2016

The American Journal of Medicine

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BACKGROUND The clinical recognition of cardiometabolic disorders might be enhanced by anthropometry based on the sagittal abdominal diameter (SAD; also called “abdominal height”) or waist circumference rather than on weight. Direct comparisons of body mass index (BMI, weight/height2) with SAD/height ratio (SADHtR) or waist circumference/height ratio (WHtR) have not previously been tested in nationally representative populations. METHODS Nonpregnant adults without diagnosed diabetes (ages 20–64 years; n = 3071) provided conventional anthropometry and supine SAD (by sliding-beam caliper) in the 2011–2012 US National Health and Nutrition Examination Survey. Population-weighted, logistic models estimated how strongly each anthropometric indicator was associated with 5 cardiometabolic disorders: Dysglycemia (glycated hemoglobin ≥5.7%), HyperNonHDLc (non-high-density-lipoprotein [HDL] cholesterol ≥4.14 mmol/L, or taking anticholesteremic medications), Hypertension (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg, or taking antihypertensive medications), HyperALT (alanine transaminase ≥p75 [75th percentile, sex-specific]), and HyperGGT (gamma-glutamyltransferase ≥p75 [sex-specific]). RESULTS After scaling each indicator, adjusted odds ratios (aORs) tended to be highest for SADHtR and lowest for BMI when identifying each disorder except dysglycemia. When SADHtR entered models simultaneously with BMI, the aORs for BMI no longer directly identified any condition, whereas SADHtR identified persons with HyperNonHDLc by aOR 2.78 (95% confidence interval [CI], 1.71–4.51), Hypertension by aOR 2.51 (95% CI, 1.22–5.15), HyperALT by aOR 2.89 (95% CI, 1.56–5.37), and HyperGGT by aOR 5.43 (95% CI, 3.01–9.79). WHtR competed successfully against BMI with regard to Dysglycemia, Hyper-NonHDLc, and HyperGGT. c-Statistics of SADHtR and WHtR were higher than those of BMI (P <.001) for identifying HyperNonHDLc and HyperGGT. CONCLUSIONS Among nonelderly adults, SADHtR or WHtR recognized cardiometabolic disorders better than did the BMI.

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“…Various studies have found similar cut-off points for WHtR for increased cardiometabolic risk, comparing different populations 16,17,18 , as well as men and women, independently of age bracket 19,20 . In fact, a WHtR cutoff of 0.5 for has been proposed as a predictor of cardiometabolic risk according to other anthropometric indices, e.g.…”

Section: Introductionmentioning

confidence: 86%

Razão cintura-estatura como marcador antropométrico de excesso de peso em idosos brasileiros

et al. 2017

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O objetivo deste estudo foi identificar o ponto de corte da razão cintura-estatura (RCE) com melhor sensibilidade, especificidade e acurácia para a população idosa brasileira utilizando o índice de massa corporal (IMC) como referência antropométrica. A amostra representativa da população brasileira foi composta por 5.428 indivíduos idosos, participantes de um inquérito epidemiológico. As variáveis avaliadas foram peso, altura e circunferência da cintura (CC). A RCE foi avaliada tendo como padrão-ouro o IMC utilizando duas propostas de classificação do estado nutricional para a população idosa. O ponto de corte ideal da RCE mostrando simultaneamente a mais alta sensibilidade e especificidade foi determinado utilizando a curva ROC (receiver operating characteristic). Sensibilidade entre 94,9% e 98,4%, especificidade variando de 43% a 55,4% e valores da área sob a curva ROC entre 0,878 e 0,883 foram identificados para o ponto de corte de 0,55. Recomenda-se a utilização da RCE na prática clínica por sua simplicidade e pelo bom poder de detecção de excesso de peso em idosos.

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Waist:height ratio: a superior index in estimating cardiovascular risks in Turkish adults

Cited by 37 publications

References 39 publications

Is Waist-to-Height Ratio Superior to Body Mass Index and Waist Circumference in Predicting the Incidence of Hypertension?

Is Waist-to-Height Ratio Superior to Body Mass Index and Waist Circumference in Predicting the Incidence of Hypertension?

Beyond Body Mass Index: Advantages of Abdominal Measurements for Recognizing Cardiometabolic Disorders

Razão cintura-estatura como marcador antropométrico de excesso de peso em idosos brasileiros

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