scholarly journals The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2598 ◽  
Author(s):  
Edyta Suliga ◽  
Elzbieta Ciesla ◽  
Martyna Głuszek-Osuch ◽  
Tomasz Rogula ◽  
Stanisław Głuszek ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
International Diabetes Federation ◽  
Shape Index ◽  
Polish Population ◽  
Odds Ratios ◽  
Anthropometric Indices ◽  
Body Adiposity ◽  
Waist To Height Ratio ◽  
Definition Of

Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (p < 0.001 for all). According to the Receiver Operating Characteristic (ROC) analyses conducted for the identification of MetS, defined in accordance with IDF, the largest areas under the curve (AUCs) in men were observed for WHtR and CUN-BAE indices, whereas in women, they were observed for WHtR and BRI. In the analysis carried out for the identification of MetS (according to modified definition, without waist circumference), the AUCs were larger for WHtR and BRI in women, while in men, they were larger for CUN-BAE, BMI, and WHtR. BMI was also characterized by a relatively strong discriminatory power in identifying individuals with MetS. An optimal cut-off point for MetS, in accordance with the conventional definition, for both sexes was the value of BMI = 27.2 kg/m2. The weakest predictor of the syndrome was the ABSI (a body shape index) indicator. The most useful anthropometric indicator for the identification of MetS, both in men and in women in the Polish population, was WHtR. The optimal cut-off points for WHtR equaled 0.56 in men and 0.54 in women.

scholarly journals Optimal cut-off points for waist circumference in the definition of metabolic syndrome in Chile

2020 ◽  
Vol 23 (16) ◽  
pp. 2898-2903
Author(s):  
Fanny Petermann-Rocha ◽  
María Adela Martínez-Sanguinetti ◽  
Frederick K Ho ◽  
Carlos Celis-Morales ◽  
Alonso Pizarro
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Representative Sample ◽  
Adult Population ◽  
International Diabetes Federation ◽  
Operating Characteristics ◽  
Specificity And Sensitivity ◽  
Definition Of ◽  
Chilean Population

AbstractObjective:To identify sex-specific cut-off points for waist circumference (WC) in the definition of metabolic syndrome (MetS) for the Chilean adult population.Design:MetS was defined as the presence of at least two out of four of the following criteria: TAG ≥1·7 mmol/l; HDL-cholesterol: <1·3 mmol/l in women and <1·0 mmol/l in men; systolic blood pressure ≥130 mmHg and/or diastolic blood pressure ≥85 mmHg; and fasting glucose ≥ 5·6 mmol/l or current treatment for diabetes. The receiver operating characteristics curve and the AUC were computed to derive the specificity and sensitivity using bootstrapping (10 000 iterations restricted to have at least between 40 and 60 % of the original population). The optimal cut-off point for the Chilean population was computed by sex.Setting:A representative sample of the Chilean population aged ≥15 years.Participants:8182 participants (60 % women) from the three available Chilean National Health Surveys conducted in 2003, 2009–2010 and 2016–2017.Results:WC had a good predictive ability for MetS (AUC for men 0·74 (95 % CI 0·72, 0·76); AUC for women 0·71 (95 % CI 0·68, 0·73)). The optimal cut-off points for WC, in the definition of MetS, were 92·3 cm (95 % CI 90·5, 94·4) and 87·6 cm (95 % CI 85·8, 92·1) for men and women, respectively.Conclusions:The mentioned cut-off points should be used for WC in the definition of MetS in Chile. As a result, the current recommendation (WHO/International Diabetes Federation) for WC, in the identification of MetS, is not supported by these findings in a representative sample of the Chilean adult population.

scholarly journals Waist-to-Height Ratio Is a Better Anthropometric Index than Waist Circumference and BMI in Predicting Metabolic Syndrome among Obese Mexican Adolescents

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Edel Rafael Rodea-Montero ◽  
María Lola Evia-Viscarra ◽  
Evelia Apolinar-Jiménez
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Waist To Height Ratio ◽  
Mexican Adolescents

Objective. To identify the degree of association between anthropometric indices and components of metabolic syndrome (MS) and to determine optimal cut-off points of these indices for predicting MS in obese adolescents.Methods. A cross-sectional study with a sample of (n=110) Mexican obese adolescents grouped by sex and the presence/absence of MS. BMI percentile, waist circumference (WC), and waist-to-height ratio (WHtR) were tested. ROC curves of the anthropometric indices were created to identify whether an index was a significant predictor of MS.Results. BMI percentile, WC, and WHtR were significantly correlated with systolic and diastolic blood pressure. As predictors of MS overall patients, the BMI percentile generated an area under curve (AUC) of 0.651 (P=0.008), cut-off point above the 99th percentile. WC generated an AUC of 0.704 (P<0.001), cut-off point of ≥90 cm. WHtR demonstrated an AUC of 0.652 (P=0.008), cut-off point of 0.60. WHtR ≥0.62 and WHtR ≥0.61 generate AUC of 0.737 (P=0.006) and AUC of 0.717 (P=0.014) for predicting hypertension and insulin resistance, respectively, in females.Conclusion. WHtR is a better tool than WC and BMI for identifying cardiometabolic risk. The overall criterion (WHtR ≥ 0.6) could be appropriate for predicting MS in obese Mexican adolescents.

scholarly journals Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sara Khosravian ◽  
Mohammad Ali Bayani ◽  
Seyed Reza Hosseini ◽  
Ali Bijani ◽  
Simin Mouodi ◽  
...  
Keyword(s):  
Older Adults ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Neck Circumference ◽  
Volume Index ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Significant Difference ◽  
Waist To Height Ratio

AbstractBackground: The prevalence of obesity and metabolic syndrome (MetS) are increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS is an essential approach in preventive health programs. The aim of this study was to compare the different anthropometric indices in predicting metabolic syndrome in older adults.Methods: This cross-sectional study is a part of the Amirkola Health and Ageing cohort Project (2011-2016). Of total, 1488 older people aged 60-92 years were entered to the study. Medical and personal information of participants were collected by a questionnaire. After measuring the height, weight, waist circumference, hip circumference and neck circumference, body mass index, waist to hip ratio, waist to height ratio, abdominal volume index and conicity index were calculated. Independent t-test, chi-square and ROC curve were used to analyze the data.Results: Based on ATPIII-2005 diagnostic criteria, the prevalence of metabolic syndrome was 71.57%.The prevalence in female was higher than male. All of examined anthropometric indices, except neck circumference (p=0.10), showed a significant difference in people with MetS compared to the individuals without metabolic syndrome (p<0.001). Waist to height ratio showed the largest area under the curve for predicting MetS (0.786; 95% CI: 0.76-0.81) followed by BMI (0.746; 95% CI: 0.71-0.77), AVI (0.745; 95% CI: 0.71-0.77), and waist circumference (0.743; 95% CI: 0.71-0.77).Conclusion: Waist to height ratio was the best predictor of MetS in older adults.

scholarly journals The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh

2021 ◽  
Vol 18 (11) ◽  
pp. 5646
Author(s):  
Sally Sonia Simmons ◽  
John Elvis Hagan ◽  
Thomas Schack
Keyword(s):  
Public Health ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Odds Ratio ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Waist To Hip Ratio ◽  
Waist To Height Ratio

Hypertension is a major public health burden in Bangladesh. However, studies considering the underlying multifaceted risk factors of this health condition are sparse. The present study concurrently examines anthropometric parameters and intermediary factors influencing hypertension risk in Bangladesh. Using the 2018 World Health Organisation (WHO) STEPwise approach to non-communicable disease risk factor surveillance (STEPS) study conducted in Bangladesh and involving 8019 nationally representative adult respondents, bivariate and multivariate logistic regression analyses were performed to determine the association between anthropometrics, other intermediary factors and hypertension. The regression results were presented using the odds ratio (OR) and adjusted odds ratio (AOR) at 95% confidence intervals (CIs). The risk of hypertension was higher among females and males who were 40 years and older. However, among females, those who were age 60 years and older were more than twice and thrice more likely to be hypertensive compared to those in the younger age groups (18–39, 40–59). Females who were obese (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]) or had high waist circumference [WC] were twice as likely to be hypertensive. Males and females who were physically active, consuming more fruits and vegetables daily and educated had lower odds of developing hypertension. Key findings suggest that the association between anthropometric indices (body mass index [BMI], waist to hip ratio [WHR], waist to height ratio [WHtR]), waist circumference [WC]), other intermediary determinants (e.g., education, physical activity) and hypertension exist across gender and with increasing age among adults in Bangladesh. Developing appropriate public health interventions (e.g., regular assessment of anthropometric parameters) for early identification of the risk and pattern of hypertension through appropriate screening and diagnosis is required to meet the specific health needs of the adult Bangladesh population.

scholarly journals Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2666 ◽  
Author(s):  
Wei-Lun Wen ◽  
Chih-Wen Wang ◽  
Da-Wei Wu ◽  
Szu-Chia Chen ◽  
Chih-Hsing Hung ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Metabolic Syndrome ◽  
Multivariable Analysis ◽  
Significant Trend ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Southern Taiwan

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.

scholarly journals Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1701 ◽  
Author(s):  
Robinson Ramírez-Vélez ◽  
Miguel Ángel Pérez-Sousa ◽  
Mikel Izquierdo ◽  
Carlos A. Cano-Gutierrez ◽  
Emilio González-Jiménez ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Cardiometabolic Risk ◽  
Characteristic Curve ◽  
Risk Index ◽  
International Diabetes Federation ◽  
Density Lipoprotein ◽  
Screening Tools ◽  
Anthropometric Indices ◽  
Cross Sectional

The present study evaluated the ability of five obesity-related parameters, including a body shape index (ABSI), conicity index (CI), body roundness index (BRI), body mass index (BMI), and waist-to-height ratio (WtHR) for predicting increased cardiometabolic risk in a population of elderly Colombians. A cross-sectional study was conducted on 1502 participants (60.3% women, mean age 70 ± 7.6 years) and subjects’ weight, height, waist circumference, serum lipid indices, blood pressure, and fasting plasma glucose were measured. A cardiometabolic risk index (CMRI) was calculated using the participants’ systolic and diastolic blood pressure, triglycerides, high-density lipoprotein and fasting glucose levels, and waist circumference. Following the International Diabetes Federation definition, metabolic syndrome was defined as having three or more metabolic abnormalities. All surrogate anthropometric indices correlated significantly with CMRI (p < 0.01). Receiver operating characteristic curve analysis of how well the anthropometric indices identified high cardiometabolic risk showed that WtHR and BRI were the most accurate indices. The best WtHR and BRI cut-off points in men were 0.56 (area under curve, AUC 0.77) and 4.71 (AUC 0.77), respectively. For women, the WtHR and BRI cut-off points were 0.63 (AUC 0.77) and 6.20 (AUC 0.77), respectively. In conclusion, BRI and WtHR have a moderate discriminating power for detecting high cardiometabolic risk in older Colombian adults, supporting the idea that both anthropometric indices are useful screening tools for use in the elderly.

Effect of Curcumin on Serum Cathepsin D in Patients with Metabolic Syndrome

2020 ◽  
Vol 20 (2) ◽  
pp. 116-121
Author(s):  
Leila Shirmohammadi ◽  
Majid Ghayour-Mobarhan ◽  
Maryam Saberi-Karimian ◽  
Mehrdad Iranshahi ◽  
Shima Tavallaie ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cathepsin D ◽  
International Diabetes Federation ◽  
Control Groups ◽  
Anthropometric Indices ◽  
Elisa Kit ◽  
Significant Difference ◽  
Before And After ◽  
Post Trial ◽  
And Control

Background: Inflammation has been shown to accompany Metabolic Syndrome (MetS) and its features. Cathepsin D is one of a proinflammatory mediator. In the current study, we aimed to investigate the effect of curcumin supplementation on serum cathepsin D levels in patients with MetS. Methods: The current study was conducted on 18-65 years old individuals with MetS diagnosed according to the International Diabetes Federation guidelines. A total of 80 participants were randomly divided into treatment and control groups. The first group (n=40) was given 2 capsules containing 500 mg of phosphatidylcholine complex of curcumin, and the other group (n=40) was given two 500 mg placebo capsules for 6 weeks. Before (week 0) and after (week 6) the intervention, anthropometric indices and blood pressure were measured and blood samples were taken. Serum cathepsin D was measured using an ELISA kit. Results: There was no significant difference between treatment and control groups in terms of weight, body mass index, waist circumference and serum cathepsin D levels before and after the intervention. In addition, there was no significant difference between pre- and post-trial values of serum cathepsin D. Conclusion: The present results do not suggest any effect of curcumin on cathepsin D levels in patients with MetS.

scholarly journals Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults

2020 ◽  
Author(s):  
Lihong Wu ◽  
WenHua Zhu ◽  
Qiaohua Qiao ◽  
Lijuan Huang ◽  
Yiqi Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Screening Method ◽  
Density Lipoprotein ◽  
Binary Logistic Regression ◽  
Shape Index ◽  
Volume Index ◽  
Binary Logistic Regression Analysis ◽  
Obese People ◽  
Anthropometric Indices ◽  
Cross Sectional

Abstract Background: Metabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease (CVD). Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices. Methods: Cross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic (ROC) curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs.Results: After adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: -0.227 for male, -0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR=1.37, female: OR=1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female's high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak.Conclusions: AVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.

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