Anthropometric indices and their relationship with cardiometabolic risk factors in a sample of Turkish adults

Anthropometric indexes for predicting high blood pressure in Turkish adults

Purpose

It is controversial which anthropometric indexes are the best in predicting the risk of hypertension and how anthropometric measurements are related to blood pressure (BP). This study aimed to evaluate the relationship between BP and anthropometric indexes and to determine the best predictors for hypertension risk.

Methods

This cross-sectional study was conducted with 415 consecutive participants (161 men, mean age: 33.4 years) aged 18-88 years in Istanbul, Turkey. Weight, height, waist circumference (WC), and neck circumference (NC) and BP were measured by well-trained personnel. Waist-to-height ratio (WHtR) and body mass index (BMI) were calculated. Pearson correlation, linear regression, and multivariate analyses were used to assess the relationship between anthropometric measurements and SBP, DBP, using the Statistical Package for the Social Sciences version 23.0.

Results

The systolic BP (SBP) and diastolic BP (DBP) were related to weight, WC, NC, BMI, and WHtR (P < 0.05). Linear regression analyses showed BMI and WC as independent risk factors for SBP with an increase by 1.11 mmHg in men (P = 0.036) and 1.59 mmHg in women (P = 0.001) in SBP when BMI increased 1 unit, while SBP increases by 0.2 mmHg when WC increases by 1 unit regardless of gender (P = 0.013).

Conclusion

Our results showed that BMI and WC are related to BP and important predictors of hypertension risk. Therefore, the uses of BMI and WC are recommended as screening tools for the prediction of hypertension risk among Turkish adults.

The utilization of BMI in patients with high WHtR as to cardiovascular risk

Introduction: A waist to height ratio (WHtR) greater than 0.5 may be a global screening tool for cardiovascular disease (CVD) and diabetes. However, it is unclear whether WHtR could be used instead of BMI. This study aimed to evaluate the role of BMI regarding CVD and diabetes in a subset of Turkish adults with WHtR greater than 0.5. Material and Method: The cross-sectional study involved 118 participants with WHtR&gt;0.5, 18 years and older who applied to the endocrinology and metabolism disease outpatient clinic between September 2019 and February 2020. WHtR and BMI were calculated. Results: The prevalence of hypertension and hyperlipidemia increased with BMI. WHtR was correlated with FBG. BMI was significantly associated with TG, HDL-c, SBP, and DBP in linear regression analysis, but not with FBG. On the other hand, there was a significant association between WHtR and FBG. Conclusion: This study confirmed that the simple value of ‘0.5’ for WHtR was associated with diabetes risk. The cut-off value of 35 for BMI was effective categorizing participants with high blood pressure and lipid levels in paticipants with high WHtR. Further population-based studies in Turkish adults are needed to evaluate whether WHtR could be used independent from BMI as an early warning of cardiovascular risks for preventive interventions.

Association between waist circumference and waist-to-height ratio with insulin resistance biomarkers in normal-weight adults working in a private educational institution

AIM

To assess the association between elevated waist circumference (WC) and high waist-to-height ratio (WHtR) with insulin resistance biomarkers.

METHODS

We conducted an analytical cross-sectional study in normal-weight adults. Participants were divided in two groups according to WC or WHtR levels. We considered values of WC ≥ 90 in male participants and WC ≥ 80 in adult women as elevated, and values of WHtR≥0.50 as high, for both genders. Our outcomes were high triglycerides to HDL-cholesterol (TG/HDL-C) ratio and elevated triglycerides and glucose index (TGI). We considered values of TG/HDL-C ratio ≥ 3 as high and TGI values ≥ 8.37 as elevated. We elaborated crude and adjusted Poisson generalized linear models to evaluate the proposed associations and explored the gender interaction using stratified models. We reported the prevalence ratio (PR) with their respective 95% confidence intervals (95%CI).

RESULTS

We analyzed 355 participants. The prevalence of elevated WC and high WHtR was 17.2% (n = 61) and 33.2% (n = 118), respectively, while the prevalence of high TG/HDL-C ratio and elevated TGI was 24.8% (n = 88) and 12.7% (n = 45), respectively. In the adjusted regression model, elevated WC was associated with high TG/HDL-C ratio only in female participants (aPR = 3.61; 95%CI: 1.59-8.20). Similarly, high WHtR was associated with high TG/HDL-C ratio in women (aPR = 2.54; 95%CI:1.08-5.97). We found an association with statistically marginal significance between elevated WC and elevated TGI in women (aPR = 1.54; 95%CI: 0.95-2.50); as well as for the association between high WHtR and elevated TGI in male participants (aPR = 1.87; 95%CI: 1.00-3.50).

CONCLUSION

Elevated WC and high WHtR were associated with a high TG/HDL-C ratio in women. It is necessary to perform prospective follow-up studies in the Peruvian population in order to corroborate our results.

Body Adiposity Index and Body Roundness Index in Identifying Insulin Resistance Among Adults Without Diabetes

BACKGROUND

Body adiposity index (BAI) and body roundness index (BRI), initially developed to assess obesity, were evaluated here to detect insulin resistance in comparison with traditional anthropometric indices of body mass index (BMI), waist circumference (WC), weight-to-height ratio (WHtR), visceral adiposity index (VAI) and abdominal volume index (AVI).

METHODS

In this cross-sectional study, 570 Chinese individuals without diabetes were evaluated.

RESULTS

The Spearman rank test showed that insulin resistance correlated most strongly with WC and AVI in men and BMI in women, and most weakly with BAI in men and VAI in women. The prevalence of insulin resistance increased per quartile for all 7 anthropometric indices. Multivariate logistic regression identified BAI as the weakest predictor of insulin resistance in both genders (men, odds ratio [OR] 3.34, 95% confidence interval [CI] 1.09-10.18; women, OR 4.90, 95% CI 1.89-12.69), AVI as the strongest predictor in men (OR 19.73, 95% CI 2.51-155.04) and BMI as the strongest predictor in women (OR 15.55, 95% CI 4.71-51.28). The area under the receiver operating characteristic curve (AUC) showed that BAI exhibited the lowest AUCs for men (0.653, 95% CI 0.574-0.731) and women (0.701, 95% CI 0.627-0.774). BRI showed significantly higher AUCs for men (0.769, 95% CI 0.699-0.838) and women (0.763, 95% CI 0.699-0.827), and WHtR showed equal AUCs to BRI.

CONCLUSIONS

Neither BAI nor BRI were superior to BMI, WC, WHtR, VAI or AVI for predicting insulin resistance. BAI showed the weakest predictive ability, while BRI showed reasonable potential to serve as an alternative anthropometric index to detect insulin resistance.

Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China

BACKGROUND AND OBJECTIVE

The association between hypertension and obesity has been confirmed, while no agreement has been reached about which anthropometric adiposity index is the best. This meta-analysis aimed to perform a systematic review and meta-analysis on the associations of hypertension risk with body mass index (BMI), waist circumstance (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), and a prospective urban and rural epidemiology study from China (PURE-China) was added into this meta-analysis as an individual study.

METHODS

Systematic literature searching was conducted to identify relevant articles published up to September 2018 in CNKI, WANFANG Data, Web of Science, SinoMed, PubMed, MEDLINE, EMBASE, Cochrane Library and cross-referencing. Literature reporting the association of hypertension risk with BMI, WC, WHR, and WHtR were defined as eligible. PURE-China data were analyzed and included as 1 eligible study into meta-analyses. Summary odds ratio (OR) and area under receiver operating characteristic curve (AUC) were pooled using meta-analysis methods. Heterogeneity and publication bias were evaluated. Subgroups based on gender, country and study design were conducted as well.

RESULTS

Thirty-eight original articles including PURE-China were included into meta-analyses, involving 309,585 subjects. WHtR had the strongest association with hypertension risk (OR, 1.68; 95% confidence interval, [CI]:1.29-2.19) and prediction ability (AUC, 70.9%; 95% CI: 67.8%-74.2%), which were also confirmed in subgroup analyses based on gender and country. However, BMI was found to have the highest prediction ability in adjusted models of PURE-China and followed WC, both of which were superior to WHtR (73.7% and 73.4% vs 73.2%).

CONCLUSIONS

Our overall meta-analysis further confirmed WHtR as a good indicator at discriminating those individuals at increased risk of hypertension, and in some cases, it is better than BMI, WC, and WHR.

Anthropometric Indices Predict the Development of Hypertension in Normotensive and Pre-Hypertensive Middle-Aged Women in Tianjin, China: A Prospective Cohort Study

BACKGROUND The aims of this study were to investigate the relationship between optimal anthropometric indices and their cut-off values and the incidence of hypertension in a cohort of middle-aged women in China. MATERIAL AND METHODS A cohort of 812 women, aged between 40-70 years were recruited between May 2011 and June 2013. An ideal baseline blood pressure was defined as <120/80 mmHg; pre-hypertension was 120-139/80-89 mmHg; hypertension was ≥140/≥90 mmHg. Anthropometric measurements included waist circumference (WC), body mass index (BMI), waist-hip ratio (WHR), and waist-height ratio (WHtR). The cohort was divided into an ideal blood pressure group (Group 1) and a pre-hypertensive group (Group 2). Two-year follow-up blood pressure measurements were performed. Receiver-operating characteristic (ROC) curve analysis determined the optimal anthropometric indices and cut-off values for developing hypertension. RESULTS At two-year follow-up, hypertension developed in 9.0% (n=31) in Group 1 and 32.3% (n=121) in Group 2. Logistic regression analysis showed that in both groups, women in the highest quartile for WC, BMI, WHR, and WHtR had a significantly increased risk of developing hypertension compared with the lowest quartile (P<0.05). ROC curve area under the curve (AUC) for these anthropometric indices were greater in Group 1, and for WC in Groups 1 and 2, with the optimal cut-off values greater in Group 1. CONCLUSIONS In a cohort of middle-aged women in China, anthropometric indices of obesity were predictive of the development of hypertension during a two-year follow-up period.

Predicting cardiometabolic disturbances from waist-to-height ratio: findings from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline

OBJECTIVE

To evaluate the performance of waist-to-height ratio (WHtR) in predicting cardiometabolic outcomes and compare cut-off points for Brazilian adults.

DESIGN

Cross-sectional study. WHtR areas under the curve (AUC) were compared with those for BMI, waist circumference (WC) and waist-to-hip ratio (WHR). The outcomes of interest were hypertension, diabetes, hypertriacylglycerolaemia and presence of at least two components of metabolic syndrome (≥2 MetS). Cut-offs for WHtR were compared and validity measures were estimated for each point.

SETTING

Teaching and research institutions in six Brazilian state capitals, 2008-2010.

SUBJECTS

Women (n 5026) and men (n 4238) aged 35-54 years who participated in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) at baseline.

RESULTS

WHtR age-adjusted AUC ranged from 0·68 to 0·72 in men and 0·69 to 0·75 in women, with smaller AUC for hypertriacylglycerolaemia and the largest for ≥2 MetS. WHtR performed better than BMI for practically all outcomes; better than WHR for hypertension in both sexes; and displayed larger AUC than WC in predicting diabetes mellitus. It also offered better discriminatory power for ≥2 MetS in men; and was better than WC, but not WHR, in women. Optimal cut-off points of WHtR were 0·55 (women) and 0·54 (men), but they presented high false-negative rate compared with 0·50.

CONCLUSIONS

We recommend using WHtR (which performed similarly to, or better than, other available indices of adiposity) as an anthropometric index with good discriminatory power for cardiometabolic outcomes in Brazilian adults, indicating the already referenced limit of WHtR≥0·50.

Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China

Background: Obesity is associated with cardiovascular disease (CVD) risk factors (hypertension, dyslipidemia and diabetes) and metabolic syndrome (MetS), and it may be flawed that most studies only use one obesity index to predict these risk factors. Therefore, our study aims to compare the various combined obesity indices systematically, and to find the optimal combined obesity indices to predict CVD risk factors and MetS. Methods: A total of 16,766 participants aged 18–79 years old were recruited in Jilin Province in 2012. Receiver operating characteristic curve (ROC) curves and multiple logistic regressions were used to evaluate the predictive capacity of the combined obesity indices for CVD risk factors and MetS. Results: The adjusted area under receiver operating characteristic (AUROC) with two combined obesity indices had been improved up to 19.45%, compared with one single obesity index. In addition, body mass index (BMI) and waist circumference (WC) were the optimal combinations, where the AUROC (95% confidence interval (CI)) for hypertension, dyslipidemia, diabetes and MetS in males were 0.730 (0.718, 0.740), 0.694 (0.682, 0.706), 0.725 (0.709, 0.742) and 0.820 (0.810, 0.830), and in females were 0.790 (0.780, 0.799), 0.727 (0.717, 0.738), 0.746 (0.731, 0.761) and 0.828 (0.820, 0.837), respectively. Conclusions: The more abnormal obesity indices that one has the higher the risk for CVD risk factors and MetS, especially in males. In addition, the combined obesity indices have better predictions than one obesity index, where BMI and WC are the optimal combinations.

Associations of Different Adipose Tissue Depots with Insulin Resistance: A Systematic Review and Meta-analysis of Observational Studies

Fat distribution is strongly associated with insulin resistance, a risk factor for type 2 diabetes and cardiovascular diseases. However, associations of different adipose tissue depots or/and obesity indices with insulin resistance have not been systematically evaluated. In this study we examined associations of different adipose tissue depots/obesity indices with insulin resistance, as measured by homeostatic model assessment of insulin resistance (HOMA-IR) in observational studies. A total of 40 studies with 56 populations and 29 adipose tissue depots/obesity indices were included in the meta-analysis. There were strong correlation between HOMA-IR and visceral fat mass (r = 0.570, 95% confidence interval(CI): 0.424~0.687), total fat mass (r = 0.492, 95%CI: 0.407~0.570), body mass index (r = 0.482, 95%CI: 0.445~0.518) and waist circumference (r = 0.466, 95%CI: 0.432~0.500), except lower extremity fat (r = 0.088, 95%CI: -0.116~0.285). Sample size, diabetic status, gender, mean of body mass index, and race contributed to heterogeneity of these associations. This study showed a positive correlation between insulin resistance and most adipose tissue depots/obesity indices, and the strongest association is for visceral fat mass.

A novel quantitative body shape score for detecting association between obesity and hypertension in China

Background

Obesity is a major independent risk factor for chronic diseases such as hypertension and coronary diseases, it might not be only related to the amount of body fat but its distribution. The single body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) or waist to stature ratio (WSR) provides limited information on fat distribution, and the debate about which one is the best remained. On the other hand, the current classification of body shape is qualitative rather than quantitative, and only crudely measure fat distribution. Therefore, a synthetical index is highly desirable to quantify body shape.

Methods

Based on the China Health and Nutrition Survey (CHNS) data, using Lohmäller PLSPM algorithm, six Partial Least Squares Path Models (PLSPMs) between the different obesity measurements and hypertension as well as two synthetical body shape scores (BSS1 by BMI/WC/Hip circumference, BSS2 by BMI/WC/WHR/WSR) were created. Simulation and real data analysis were conducted to assess their performance.

Results

Statistical simulation showed the proposed model was stable and powerful. Totally 15,172 (6,939 male and 8,233 female) participants aged from 18 to 87 years old were included. It indicated that age, height, weight, WC, WHR, WSR, SBP, DBP, the prevalence of hypertension and obesity were significantly sex-different. BMI, WC, WHR, WSR, Hip, BSS1 and BSS2 between hypertension and normotensive group are significantly different (p < 0.05). PLSPM method illustrated the biggest path coefficients (95% confidence interval, CI) were 0.220(0.196, 0.244) for male and 0.205(0.182, 0.228) for female in model of BSS1. The area under receiver-operating characteristic curve (AUC(95% CI)) of BSS1(0.839(0.831,0.847)) was significantly larger than that of BSS2(0.834(0.825,0.842)) as well as the four single indices for female, and similar trend can be found for male.

Conclusions

BSS1 was an excellent measurement for quantifying body shape and detecting the association between body shape and hypertension.

Is waist circumference a better predictor of diabetes than body mass index or waist-to-height ratio in Iranian adults?

Background:

Several measures of adiposity have been used for predicting diabetes. The results of studies regarding superiority of waist circumference (WC) to body mass index (BMI) are inconsistent. This study designed to compare the ability of different anthropometric measures in predicting diabetes and to determine their optimal cut-off values.

Methods:

A population-based cross-sectional study was conducted with 1,000 representative sample among adults aged 20–80 years in Babol, the Northern Iran. The demographic data were collected in a household survey, and the anthropometric measures of weight, height, waist, and hip circumference were measured with a standard method. Fasting blood sugar (FBS) ≥126 mg/dl was considered as diabetes. receiver operating characteristic analysis was used to estimate the predictive ability of different anthropometric indexes and their optimal cut-off values for high FBS.

Results:

The overall prevalence rate of diabetes was 14.0% (14.4% in men vs. 13.5% in women, P = 0.65). The prevalence rate was significantly higher in older age (>60 years), low educated and obese (P = 0.001). The mean of BMI, WC, waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) were significantly higher among diabetic in both sexes (P = 0.001). Among men, WC (area under the ROC curve [AUC] =0.64) and WHtR (AUC = 0.63) have slightly higher accuracy index compared with BMI (AUC = 0.62) or WHR (AUC = 0.60). In contrast, among women, WHtR (AUC = 0.69) and WC (AUC = 0.68) yielded slightly better predictive than BMI (AUC = 0.67). The optimal cut-off values obtained for BMI and WHtR were similar between two sexes (BMI = 24.95 kg/m² for men and BMI = 25.2 kg/m² for women, WHtR = 0.51 for both sexes) whereas the optimal cut-off value for WC was higher in men than women (98.5 cm men vs. 89.5 cm women).

Conclusions:

Overall WC and WHtR exhibited a slightly better discriminate performance than BMI for diabetes in both sexes, particularly in women.

The relationship between anthropometric indices and type 2 diabetes mellitus among adults in north-east China

OBJECTIVE

The present study was performed to test the predictive value of different cut-off points of anthropometric parameters for the presence of type 2 diabetes (T2DM) or glucose tolerance abnormalities in north-east Chinese adults.

DESIGN

Multistage random cluster sampling method in a cross-sectional study.

SETTING

Height, body weight, maximal body weight in the past, waist and hip circumferences, blood pressure, 2 h post-load glucose and other lifestyle factors were measured.

SUBJECTS

We used data from 1058 adults aged 20 years or over, selected in the city of Mudanjiang, in 2005.

RESULTS

BMI, maximal BMI in the past (MAXBMI), waist:hip ratio (WHR), waist:height ratio (WHtR) and waist circumference (WC) were significantly correlated with each other. Partial correlation coefficients between WHtR and WC, and between MAXBMI and BMI, were higher than those between the other indices. The association of anthropometric indices with T2DM or glucose tolerance abnormalities was significantly highest for the collaboration cut-off points of MAXBMI (≥ 23.0 kg/m(2) for T2DM, ≥ 22.0 kg/m(2) for glucose tolerance abnormalities) with WHtR (≥ 0.52). Areas under the receiver-operating characteristic curves also showed that WHtR was a better anthropometric index that discriminated between the presence and absence of T2DM and an excellent indicator with high Youden's index.

CONCLUSIONS

MAXBMI combined with WHtR was a better anthropometric index associated with T2DM or glucose tolerance abnormalities. The combined use of these two measures is a good choice for T2DM prevention and screening.

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

OBJECTIVE

To determine the best anthropometric measurement among waist: height ratio (WHtR), BMI, waist:hip ratio (WHR) and waist circumference (WC) associated with high CHD risk in adults and to define the optimal cut-off point for WHtR.

DESIGN

Population-based cross-sectional study.

SETTING

Balcova, Izmir, Turkey.

SUBJECTS

Individuals (n 10 878) who participated in the baseline survey of the Heart of Balcova Project. For each participant, 10-year coronary event risk (Framingham risk score) was calculated using data on age, sex, smoking status, blood pressure, serum lipids and diabetes status. Participants who had risk higher than 10 % were defined as 'medium or high risk'.

RESULTS

Among the participants, 67·7% were female, 38·2% were obese, 24·5% had high blood pressure, 9·2% had diabetes, 1·5% had undiagnosed diabetes (≥126 mg/dl), 22·0% had high total cholesterol and 45·9% had low HDL-cholesterol. According to Framingham risk score, 32·7% of them had a risk score higher than 10 %. Those who had medium or high risk had significantly higher mean BMI, WHtR, WHR and WC compared with those at low risk. According to receiver-operating characteristic curves, WHtR was the best and BMI was the worst indicator of CHD risk for both sexes. For both men and women, 0·55 was the optimal cut-off point for WHtR for CHD risk.

CONCLUSIONS

BMI should not be used alone for evaluating obesity when estimating cardiometabolic risks. WHtR was found to be a successful measurement for determining cardiovascular risks. A cut-off point of '0·5' can be used for categorizing WHtR in order to target people at high CHD risk for preventive actions.

Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting

PROBLEM

The use of body mass index (BMI) to assess obesity and health risks has been criticized in scientific and lay publications because of its failure to account for body shape and inability to distinguish fat mass from lean mass. We sought to determine whether other anthropometric measures (waist circumference (WC), waist-to-height ratio (WtH), percent body fat (%BF), fat mass index (FMI), or fat-free mass index (FFMI)) were consistently better predictors of components of the metabolic syndrome than BMI is.

METHODS

Cross-sectional measurements of height, weight, waist circumference and percent body fat were obtained from 12,294 adults who took part in annual physical exams provided by EHE International, Inc. Blood pressure was measured during the exam and HDL, LDL, and fasting glucose were measured from blood samples. Pearson correlations, linear regression, and adjusted Receiver Operator Characteristic (ROC) curves were used to relate each anthropometric measure to each metabolic risk factor.

RESULTS

None of the measures was consistently the strongest predictor. BMI was the strongest predictor of blood pressure, measures related to central adiposity (WC and WtH) performed better at predicting fasting glucose, and all measures were roughly comparable at predicting cholesterol levels. In all, differences in areas under ROC curves were 0.03 or less for all measure/outcome pairs that performed better than BMI.

CONCLUSION

Body mass index is an adequate measure of adiposity for clinical purposes. In the context of lay press critiques of BMI and recommendations for alternative body-size measures, these data support clinicians making recommendations to patients based on BMI measurements.

Comparison of body mass index, waist circumference, and waist-to-height ratio for predicting the clustering of cardiometabolic risk factors by age in Japanese workers--Japan Epidemiology Collaboration on Occupational Health study

BACKGROUND

Waist-to-height ratio (WHtR) has been suggested as a better screening tool than body mass index (BMI) and waist circumference (WC) for assessing cardiometabolic risk. However, most previous studies did not consider age.

METHODS AND RESULTS

Participants were 45,618 men and 8,092 women aged 15-84 years who received periodic health checkups in 9 companies in Japan. Clustering of cardiometabolic risk factors was defined by the existence of 2 or more of high blood pressure, hyperglycemia, and dyslipidemia. In both men and women, unadjusted area under the curve (AUC) of the receiver-operating characteristic curve for WHtR in detecting the clustering of cardiometabolic risk factors was significantly higher than that for either BMI or WC; the AUCs for WHtR, BMI, and WC, respectively, were 0.734, 0.705, and 0.717 in men and 0.782, 0.762, and 0.755 in women. After adjustment for age, however, such differences were not observed; the corresponding values were 0.702, 0.701, and 0.696 in men. In women, the age-adjusted AUC for BMI was slightly higher than for other indices (WHtR, 0.721; BMI, 0.726; WC, 0.707).

CONCLUSIONS

The screening performance of WHtR for detecting the clustering cardiometabolic risk factors was not superior to that of BMI.

Different anthropometric adiposity measures and their association with cardiovascular disease risk factors: a meta-analysis

Objectives

To investigate which anthropometric adiposity measure has the strongest association with cardiovascular disease (CVD) risk factors in Caucasian men and women without a history of CVD.

Design

Systematic review and meta-analysis.

Methods

We searched databases for studies reporting correlations between anthropometric adiposity measures and CVD risk factors in Caucasian subjects without a history of CVD. Body mass index (BMI), waist circumference, waist-to-hip ratio, waist-to-height ratio and body fat percentage were considered the anthropometric adiposity measures. Primary CVD risk factors were: systolic blood pressure, diastolic blood pressure, high density lipoprotein (HDL) cholesterol, triglycerides and fasting glucose. Two independent reviewers performed abstract, full text and data selection.

Results

Twenty articles were included describing 21,618 males and 24,139 females. Waist circumference had the strongest correlation with all CVD risk factors for both men and women, except for HDL and LDL in men. When comparing BMI with waist circumference, the latter showed significantly better correlations to CVD risk factors, except for diastolic blood pressure in women and HDL and total cholesterol in men.

Conclusions

We recommend the use of waist circumference in clinical and research studies above other anthropometric adiposity measures, especially compared with BMI, when evaluating CVD risk factors.

Spatial distribution of the risk for metabolic complications: an application in south-east Brazil, 2006–2007

Objective

To identify spatial variation in the risk for metabolic complications (RMC) by means of a semi-parametric approach for multinomial data.

Design

Cross-sectional study.

Setting

We visited 730 households selected in the first of a two-stage sample in South health district in Campinas, São Paulo, Brazil, 2006–2007.

Subjects

We interviewed 651 individuals and obtained their respective anthropometric measures and geographical coordinates of their house location. They were classified according to a combination of BMI and abdominal circumference as having no risk, increased, high or very high RMC.

Results

Gender, age and schooling were associated with RMC. Crude spatial risk for the three levels of RMC in relation to the absence of risk suggested different patterns in each level. Adjusted spatial risk for the RMC showed smaller significant areas, but the pattern remained similar to crude risk.

Conclusions

Spatial point analysis with a multinomial approach improves the understanding of differences in RMC found, as we could identify specific areas in which to intervene. The public health significance of these findings may lie in the additional evidence provided that spatial location and its features can influence patterns of RMC.

Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis

Our aim was to differentiate the screening potential of waist-to-height ratio (WHtR) and waist circumference (WC) for adult cardiometabolic risk in people of different nationalities and to compare both with body mass index (BMI). We undertook a systematic review and meta-analysis of studies that used receiver operating characteristics (ROC) curves for assessing the discriminatory power of anthropometric indices in distinguishing adults with hypertension, type-2 diabetes, dyslipidaemia, metabolic syndrome and general cardiovascular outcomes (CVD). Thirty one papers met the inclusion criteria. Using data on all outcomes, averaged within study group, WHtR had significantly greater discriminatory power compared with BMI. Compared with BMI, WC improved discrimination of adverse outcomes by 3% (P < 0.05) and WHtR improved discrimination by 4-5% over BMI (P < 0.01). Most importantly, statistical analysis of the within-study difference in AUC showed WHtR to be significantly better than WC for diabetes, hypertension, CVD and all outcomes (P < 0.005) in men and women. For the first time, robust statistical evidence from studies involving more than 300 000 adults in several ethnic groups, shows the superiority of WHtR over WC and BMI for detecting cardiometabolic risk factors in both sexes. Waist-to-height ratio should therefore be considered as a screening tool.

Association between adiposity indices and cardiometabolic risk factors among adults living in Puerto Rico

OBJECTIVE

To compare the general adiposity index (BMI) with abdominal obesity indices (waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR)) in order to examine the best predictor of cardiometabolic risk factors among Hispanics living in Puerto Rico.

DESIGN

Secondary analysis of measurements taken from a representative sample of adults. Logistic regression models (prevalence odds ratios (POR)), partial Pearson's correlations (controlling for age and sex) and receiver-operating characteristic (ROC) curves were calculated between indices of obesity (BMI, WC, WHR and WHtR) and blood pressure, HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), total cholesterol (TC):HDL-C, TAG, fasting blood glucose, glycosylated Hb, high-sensitivity C-reactive protein (hs-CRP), fibrinogen, plasminogen activator inhibitor-1 (PAI-1) and an aggregated measure of cardiometabolic risk.

SETTING

Household study conducted between 2005 and 2007 in the San Juan Metropolitan Area in Puerto Rico.

SUBJECTS

A representative sample of 858 non-institutionalized adults.

RESULTS

All four obesity indices significantly correlated with the cardiometabolic risk factors. WHtR had the highest POR for high TC:HDL-C, blood pressure, hs-CRP, fibrinogen and PAI-1; WC had the highest POR for low HDL-C and high LDL-C and fasting blood glucose; WHR had the highest POR for overall cardiometabolic risk, TAG and glycosylated Hb. BMI had the lowest POR for most risk factors and smallest ROC curve for overall cardiometabolic risk.

CONCLUSIONS

The findings of the study suggest that general adiposity and abdominal adiposity are both associated with cardiometabolic risk in this population, although WC, WHR and WHtR appear to be slightly better predictors than BMI.

Comparison of several anthropometric indices with insulin resistance proxy measures among European adolescents: The Helena Study

The aim of the current study was to compare the association of several anthropometric indices, with insulin resistance (IR) proxy measures in European adolescents. The present study comprises 1,097 adolescents aged 12.5-17.5 from ten European cities participating in the HELENA study. Weight, height, waist circumference (WC) and hip circumference, skinfolds thickness, fat mass (FM), fasting plasma glucose (G(F)) and serum insulin (I(F)) levels were measured. HOMA (as indicator of IR body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were calculated. I(F) and HOMA were statistically significantly related to BMI, WC, skinfold sum, WHtR, WHR and FM. BMI, WC, WHtR, skinfold sum and FM displayed similar correlation with I(F) and HOMA as opposed to WHR where lower correlation with IR indices was detected in the overall sample. Similar results were found for boys, girls and underweight/normal weight adolescents. On the other hand, WC and WHtR were found to be more strongly associated with IR proxy measures compared to the rest of anthropometric indices among overweight/obese subjects. Based on the current findings, WC and WHtR could be used, alternatively, to identify the overweight/obese adolescent at risk for developing IR. In addition, all aforementioned anthropometric indices, except WHR, could be used among the underweight/normal weight adolescents.

Ethnic-specific BMI and waist circumference thresholds

BMI and waist circumference (WC) are used to identify individuals with elevated obesity-related health risks. The current thresholds were derived largely in populations of European origin. This study determined optimal BMI and WC thresholds for the identification of cardiometabolic risk among white and African-American (AA) adults. The sample included 2096 white women, 1789 AA women, 1948 white men, and 643 AA men aged 18-64 years. Elevated cardiometabolic risk was defined as ≥2 risk factors (blood pressure ≥ 130/85 mm Hg; glucose ≥100 mg/dl; triglycerides ≥150 mg/dl; high-density lipoprotein-cholesterol <40 mg/dl (men) or <50 mg/dl (women)). Receiver Operating Characteristic (ROC) curves were used to identify optimal BMI and WC thresholds in each sex-by-ethnicity group. The optimal BMI thresholds were 30 kg/m2 in white women, 32.9 kg/m2 in AA women, 29.1 kg/m2 white men, and 30.4 kg/m2 in AA men, whereas optimal WC thresholds were 91.9 cm in white women, 96.8 cm in AA women, 99.4 in white men, and 99.1 cm in AA men. The sensitivities at the optimal thresholds ranged from 63.5 to 68.5% for BMI and 68.4 to 71.0% for WC and the specificities ranged from 64.2 to 68.8% for BMI and from 68.5 to 71.0% for WC, respectively. In general, the optimal BMI and WC thresholds approximated currently used thresholds in men and in white women. There are no apparent ethnic differences in men; however, in AA women the optimal BMI and WC values are ~3 kg/m2 and 5 cm higher than in white women.

Fatores associados à obesidade central em adultos de Florianópolis, Santa Catarina: estudo de base populacional

OBJETIVO: Estimar a prevalência e os fatores sociodemográficos e comportamentais associados à obesidade central em adultos de Florianópolis, Santa Catarina. MÉTODOS: Pesquisa de delineamento transversal de base populacional com amostra de 1.720 adultos de 20 a 59 anos. A obesidade central foi avaliada pela razão entre as medidas da cintura e estatura, sendo considerada como acima do recomendável > 0,50. A Regressão de Poisson foi utilizada para estimar Razões de Prevalência (RP) nas análises brutas e multivariável entre a obesidade central e os indicadores sociodemográficos e comportamentos relacionados à saúde. Todas as análises foram estratificadas por sexo. RESULTADOS: A prevalência de obesidade central foi de 50,5% (IC 95%: 46,6-54,4) para os homens e 38,9% (IC 95%: 34,4-43,5) para as mulheres. Após a análise multivariável, maiores prevalências de obesidade central foram observadas para as mulheres com faixa de idade de 50 a 59 anos e aquelas que vivem com companheiro(a) e, com menores prevalências, para as mulheres com escolaridade maior e igual a 12 anos (RP: 0,63; IC 95%: 0,47-0,85) e maior renda (RP: 0,64; IC 95%: 0,47-0,86). Para os homens, maiores prevalências foram evidenciadas com a faixa de idade de 50 a 59 anos, que vivem com companheiro(a) e com menor renda. CONCLUSÃO: A prevalência de obesidade central foi elevada nesta população e as variáveis demográficas e socioeconômicas foram fortemente discriminantes da prevalência de obesidade central em ambos os sexos. O conhecimento dos fatores associados à obesidade central pode orientar as intervenções dirigidas à prevenção deste importante problema de saúde pública.

Accuracy of anthropometric indexes of obesity to predict diabetes mellitus type 2 among men and women with hypertension

BACKGROUND

Anthropometric measurements and indexes that assess excess of adiposity are associated with cardiovascular risk factors, and predict diabetes mellitus.

METHODS

This cross-sectional study reported the performance of adiposity indexes to detect or turn diabetes unlikely in patients with hypertension. Patients with hypertension (blood pressure (BP) ≥140/90 mm Hg or antihypertensive drug use) aged 18-80 years, being 150 men and 332 women, had weight, height, waist circumference (WC), hip circumference, body mass index (BMI), waist-hip ratio (WHR), waist-to-height ratio (WHtR), and waist-to-square height ratio (WHt(2)R) calculated. Diabetes was diagnosed by fasting blood glucose ≥126 mg/dl or antidiabetic drug use (23% of the sample).

RESULTS

All anthropometric indexes were associated with diabetes in a modified Poisson regression, adjusting for age, smoking, and physical activity, in women, but not in men. In men, only the area under the receiver-operating characteristic curve (AUC) for WHR was statistically associated with diabetes (0.67, 95% confidence interval (CI) 0.57-0.77). A cutoff of ≥0.95 had sensitivity of 84.6% (73.3-95.9) and negative post-test probability of 12.8% (3.2-22.4). Among women, WC >88 cm, WHR ≥0.85, and WHtR > 0.54 had sensitivity >93% and negative post-test probability <7.5%.

CONCLUSIONS

WHR ≥0.85, WC >88.0 cm, and WHtR >0.54 for women and WHR ≥0.95 for men are highly suggestive of diabetes among this population of hypertensive patients. Indexes below these cutoffs turn diabetes unlikely in this context. The investigation of reproducibility of this performance in other outpatient clinics is warranted.

Are adult body circumferences associated with height? Relevance to normative ranges and circumferential indexes

BACKGROUND

Weight scales as height squared, which is an observation that forms the basis of body mass index (weight/height(2)). If, and how, circumferences, including waist circumference (WC) and hip circumference (HC), scale to height remains unclear, but this is an important consideration when developing normative ranges or applying WC/height and HC/height as risk indexes.

OBJECTIVE

The study aim was to examine the scaling of weight, WC, and HC to height in NHANES (National Health and Nutrition Examination Survey) III participants.

DESIGN

Subjects were adult non-Hispanic white, non-Hispanic black, and Mexican American men (n = 7422) and nonpregnant women (n = 7999) who had complete demographic and anthropometric data. In addition to height, allometric models were developed for each measure that controlled for age, race, and self-reported health status.

RESULTS

After adjustment for age and race, weight scaled to height in men and women with mean (±SEE) powers of 2.29 ± 0.11 and 1.80 ± 0.07, respectively (both P < 0.001). Although univariate circumference-height models were weak or nonsignificant, when adjusted for age and race WC and HC scaled to height with powers of 0.76 ± 0.08 and 0.45 ± 0.05, respectively, in men and 0.80 ± 0.05 and 0.53 ± 0.04, respectively, in women (all P < 0.001). Age- and race-adjusted incremental increases in circumferences ranged from 0.2 to 0.5 cm per centimeter increase in height. Both WC/height and HC/height scaled negatively to height in men and women, and WC/HC scaled negatively to height in women only (all P < 0.001). Health status-adjusted models were similar.

CONCLUSIONS

Circumferences and related ratios scale significantly to height, notably after adjustment for age and race, across subjects who are representative of the US population. These observations have implications for the clinical and epidemiologic use of these anthropometric measures and indexes.

Use of knee height for the estimation of stature in elderly Turkish people and their relationship with cardiometabolic risk factors

The determination of the approximately truest value in height measurement is important in many fields, but it is difficult to perform true measurements, especially in the elderly individuals. We planned to investigate the following items in geriatric Turkish population: to calculate the decrease in height with advancing age by using the standing height measurement and estimated height derived from the knee height; to evaluate the significance of difference between the two measurement methods in the calculation of body mass index (BMI) and waist/height ratio (WHtR); to determine the cut-off value of WHtR according to estimated height in elderly individuals. We studied 551 cases aged between 19 and 97 years. Knee height was measured using a sliding caliper in a sitting position. Linear regression analysis was carried out to derive predictive equations for the estimation of stature with adults (≤ 50 years of age) according to the gender. This equation was then used to estimate height among elderly subjects. Of the cases, 60.3% were <60 years (mean: 48.75 ± 7.50); 39.7% of the cases were >60 years (mean: 69.51 ± 7.12). Estimated BMI (EBMI) measurements in the females and males >60 years were in average 1.23 kg/m(2) and 0.92 kg/m(2) higher than their real BMIs, respectively. EBMI measurements in the females <60 years were 0.32 kg/m(2) higher than their real BMIs (p<0.01). There is a statistically significant difference between WHtR in the females of both age groups, and in the males >60 years, as compared to our estimated WHtR (EWHtR) measurements (p<0.01). The cut-off point of WHtR was 0.61 and 0.58 in the female and male cases of >60 years in our study, respectively. WHtR seemed to be a better anthropometric index that could predict most cardiometabolic risk factors in our study. EWHtR emerged to be a better cardiometabolic risk index especially in the elderly group.

Waist-to-height ratio, an optimal predictor for obesity and metabolic syndrome in Chinese adults

OBJECTIVE

Anthropometric indices to obesity were evaluated as predictors of metabolic syndrome risk factors. Our purpose was to explore an optimal or more reliable anthropometric indicator and optimal cut-off points for obesity on metabolic syndrome in Chinese adults.

PARTICIPANTS AND METHODS

The survey was conducted involving 2947 participants, aged 20 or above with cross-sectional study of population. The predictive validity and optimal cut-off values were analyzed by receiver operating characteristic (ROC) curves, area under curve (AUC) and the largest Youden's index (sensitivity + specificity - 1) by gender group, respectively. Kappa value showed diagnostic consistency.

RESULTS

According to the criteria of CDS 2004, IDF 2005 and AHA/NHLBI 2005, the prevalence of metabolic syndrome was 10.32%, 9.64% and 16.12% respectively, which indicated that the prevalence was higher in men than in women and increased with age (P < 0.05). The BMI, WC, WHR and WHtR in metabolic syndrome patients were greater than those in healthy volunteers and the indices in men were higher than those in women. With adjusted age and gender, the partial correlation coefficient for BMI-WC, BMI-WHR and BMI-WHtR was 0.7991, 0.5278 and 0.8196, respectively (P < 0.05). The area under curves (AUCs) of receiver operating characteristic (ROC) curves for WHtR was larger (P < 0.05) than that for WC and WHR. The cut-point of WHtR was approximately 0.5 in both genders with a satisfactory balance between sensitivity and specificity, where the Kappa (k) value for WHtR-BMI was higher than that for WHtR-WHR, and WHtR-WC.

CONCLUSIONS

The results indicated that WHtR might be an optimal anthropometric predictor of metabolic syndrome risk factors and the cut-point of WHtR was approximately 0.50 in both genders of Chinese adults.

A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value

This systematic review collated seventy-eight studies exploring waist-to-height ratio (WHtR) and waist circumference (WC) or BMI as predictors of diabetes and CVD, published in English between 1950 and 2008. Twenty-two prospective analyses showed that WHtR and WC were significant predictors of these cardiometabolic outcomes more often than BMI, with similar OR, sometimes being significant predictors after adjustment for BMI. Observations from cross-sectional analyses, forty-four in adults, thirteen in children, supported these predictions. Receiver operator characteristic (ROC) analysis revealed mean area under ROC (AUROC) values of 0·704, 0·693 and 0·671 for WHtR, WC and BMI, respectively. Mean boundary values for WHtR, covering all cardiometabolic outcomes, from studies in fourteen different countries and including Caucasian, Asian and Central American subjects, were 0·50 for men and 0·50 for women. WHtR and WC are therefore similar predictors of diabetes and CVD, both being stronger than, and independent of, BMI. To make firmer statistical comparison, a meta-analysis is required. The AUROC analyses indicate that WHtR may be a more useful global clinical screening tool than WC, with a weighted mean boundary value of 0·5, supporting the simple public health message 'keep your waist circumference to less than half your height'.

Cereal consumption and indicators of cardiovascular risk in adolescent girls

OBJECTIVE

To examine the association between cereal consumption and cardiovascular risk factors including waist, height, total cholesterol, LDL cholesterol and HDL cholesterol in a sample of adolescent girls.

DESIGN

Longitudinal study.

SETTING

The study was conducted from 1987 to 1997 and data were collected at three study sites (University of California at Berkeley, University of Cincinnati and Westat Inc., Rockville, MD, USA). Mixed models were used to estimate the association between the number of days of eating cereal and these four outcome variables.

SUBJECTS

Girls (n 2371) who participated in the 10-year National Heart, Lung, and Blood Growth and Health Study (NGHS) and completed a 3 d food diary in years 1-5 and 7, 8 and 10.

RESULTS

Adolescent girls who ate cereal more often had lower waist-to-height ratio (P<0.005), lower total cholesterol (P<0.05) and lower LDL cholesterol (P<0.05), taking into account sociodemographic variables, physical activity levels and total energy intake.

CONCLUSIONS

Findings suggest that cereal consumption is associated with markers of cardiovascular risk and that childhood patterns of consumption may influence the development of risk factors later in adolescence.

Optimal waist:height ratio cut-off point for cardiometabolic risk factors in Turkish adults

Objective

To identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.

Design

Cross-sectional study. Hypertension, dyslipidaemia, diabetes, metabolic syndrome score ≥2 (presence of two or more metabolic syndrome components except for waist circumference) and at least one risk factor (diabetes, hypertension or dyslipidaemia) were categorical outcome variables. Receiver-operating characteristic (ROC) curves were prepared by plotting 1 − specificity on the x-axis and sensitivity on the y-axis. The WHtR value that had the highest Youden index was selected as the optimal cut-off point for each cardiometabolic risk factor (Youden index = sensitivity + specificity − 1).

Setting

Turkey, 2003.

Subjects

Adults (1121 women and 571 men) aged 18 years and over were examined.

Results

Analysis of ROC coordinate tables showed that the optimal cut-off value ranged between 0·55 and 0·60 and was almost equal between men and women. The sensitivities of the identified cut-offs were between 0·63 and 0·81, the specificities were between 0·42 and 0·71 and the accuracies were between 0·65 and 0·73, for men and women. The cut-off point of 0·59 was the most frequently identified value for discrimination of the studied cardiometabolic risk factors. Subjects classified as having WHtR ≥ 0·59 had significantly higher age and sociodemographic multivariable-adjusted odds ratios for cardiometabolic risk factors than subjects with WHtR < 0·59, except for diabetes in men.

Conclusions

We show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.