scholarly journals Sex- and Age-Specific Optimal Anthropometric Indices as Screening Tools for Metabolic Syndrome in Chinese Adults

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jia Zhang ◽  
Wenhua Zhu ◽  
Lifeng Qiu ◽  
Lijuan Huang ◽  
Lizheng Fang
Keyword(s):  
Metabolic Syndrome ◽  
Area Under The Curve ◽  
Predictive Ability ◽  
Shape Index ◽  
Screening Tools ◽  
Youden Index ◽  
Chinese Adults ◽  
Anthropometric Indices ◽  
Receiver Operating Characteristic Curves ◽  
Cardiometabolic Risks

Objectives. To compare the predictive ability of six anthropometric indices for identification of metabolic syndrome (MetS) and to determine their optimal cut-off points among Chinese adults. Methods. A total of 59,029 participants were enrolled. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) were measured. Receiver-operating characteristic curves analyses were performed to determine the discriminatory power of these indices for the identification of cardiometabolic risks and diagnosis of MetS. The differences in the area under the curve (AUC) values among the indices were evaluated. The Youden index was used to determine the optimal cut-off points. Results. WHtR and BRI exhibited the highest AUC values for identifying MetS and most cardiometabolic risk factors in both sexes, whereas ABSI showed the lowest AUC value. The general optimal cut-off points in women were 23.03 kg/m2 for BMI, 77.25 cm for WC, 0.490 for WHtR, and 3.179 for BRI; those in men were 24.64 kg/m2 for BMI, 87.25 cm for WC, 0.510 for WHtR, and 3.547 for BRI. The AUC values and cut-off points of the indices were also analyzed in each age and BMI category. Conclusions. In Chinese adults, WHtR and BRI showed a superior predictive power for MetS in both sexes, which can be used as simple and effective screening tools for cardiometabolic risks and MetS in clinical practice.

scholarly journals The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Mojgan Gharipour ◽  
Masoumeh Sadeghi ◽  
Minoo Dianatkhah ◽  
Shirin Bidmeshgi ◽  
Alireza Ahmadi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Metabolic Risk Factors ◽  
Youden Index ◽  
Elderly Subjects ◽  
Metabolic Risk ◽  
Anthropometric Indices ◽  
Cross Sectional

Aim. This study aimed to investigate which anthropometric indices could be a better predictor of metabolic syndrome (MetS) and the cut-off points for these surrogates to appropriately differentiate MetS in the Iranian elderly.Method. The present cross-sectional study was conducted on a sample of Isfahan Healthy Heart Program (IHHP). MetS was defined according to Third Adult Treatment Panel (ATPIII). In total, 206 elderly subjects with MetS criteria were selected. Anthropometric indices were measured and plotted using receiver operating characteristic (ROC) curves.Results. WC followed by WHtR yielded the highest area under the curve (AUC) (0.683; 95% CI 0.606–0.761 and 0.680; 95% CI 0.602–0.758, resp.) for MetS. WC at a cut of 94.5 cm resulted in the highest Youden index with sensitivity 64% and 68% specificity to predict the presence of ≥2 metabolic risk factors. BMI had the lowest sensitivity and specificity for MetS and MetS components. WC has the best ability to detect MetS which followed by WHtR and BMI had a lower discriminating value comparatively.Conclusion. WC is the best predictor for predicting the presence of ≥2 metabolic risk factors among Iranian elderly population and the best value of WC is 94.5 cm. This cut-off values of WC should be advocated and used in Iranian men until larger cross-sectional studies show different results.

scholarly journals Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e043952
Author(s):  
Yating Wu ◽  
Hongyu Li ◽  
Xiujuan Tao ◽  
Yanna Fan ◽  
Qinghan Gao ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Ability ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Screening Tools ◽  
Volume Index ◽  
Sectional Study ◽  
Anthropometric Indices ◽  
Predictive Capacity ◽  
Cross Sectional

ObjectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).DesignCross-sectional study.SettingNingxia, China.ParticipantsA total of 3860 adults aged 18–88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.MethodsORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.ResultsThe highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.ConclusionsBMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.

Muscle strength cut-points for metabolic syndrome detection among adults and the elderly from Brazil

2021 ◽  
Vol 46 (4) ◽  
pp. 379-388
Author(s):  
Tiago Rodrigues de Lima ◽  
David Alejandro González-Chica ◽  
Eleonora D’Orsi ◽  
Xuemei Sui ◽  
Diego Augusto Santos Silva
Keyword(s):  
Metabolic Syndrome ◽  
Muscle Strength ◽  
Lifestyle Modification ◽  
Handgrip Strength ◽  
Area Under The Curve ◽  
Roc Curves ◽  
The Elderly ◽  
Youden Index ◽  
Cross Sectional ◽  
Cut Points

We aimed to determine cut-points for muscle strength based on metabolic syndrome diagnosis. This cross-sectional analysis comprised data from 2 cohorts in Brazil (EpiFloripa Adult, n = 626, 44.0 ± 11.1 years; EpiFloripa Aging, n = 365, 71.6 ± 6.1 years). Metabolic syndrome was assessed by relative handgrip strength (kgf/kg). Metabolic syndrome was defined as including ≥3 of the 5 metabolic abnormalities according to the Joint Interim Statement. Optimal cut-points from Receiver Operating Characteristic (ROC) curves were determined. Adjusted logistic regression was used to test the association between metabolic syndrome and the cut-points created. The cut-point identified for muscle strength was 1.07 kgf/kg (Youden index = 0.310; area under the curve (AUC)) = 0.693, 95% CI 0.614–0.764) for men and 0.73 kgf/kg (Youden index = 0.481; AUC = 0.768, 95% confidence interval (CI) = 0.709–0.821) for women (age group 25 to < 50 years). The best cut-points for men and women aged 50+ years were 0.99 kgf/kg (Youden index = 0.312; AUC = 0.651; 95% CI = 0.583–0.714) and 0.58 kgf/kg (Youden index = 0.378; AUC = 0.743; 95% CI = 0.696–0.786), respectively. Cut-points derived from ROC analysis have good discriminatory power for metabolic syndrome among adults aged 25 to <50 years but not for adults aged 50+ years. Novelty: First-line management recommendation for metabolic syndrome is lifestyle modification, including improvement of muscle strength. Cut-points for muscle strength levels according to sex and age range based on metabolic syndrome were created. Cut-points for muscle strength can assist in the identification of adults at risk for cardiometabolic disease.

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 Evaluation of anthropometric indices as metabolic syndrome predictors in Ecuadorian Military Personnel

2020 ◽  
Vol 41 (2) ◽  
pp. 141-147
Author(s):  
Germán Muñoz ◽  
Alberth Patricio Muñoz Gualan
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Military Personnel ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Anthropometric Indices ◽  
Low Prevalence ◽  
Waist Height Ratio

Anthropometric measurements are simple and effective techniques for central or abdominal obesity evaluation. Although it is known their good predicting value, there is not a consensus about which is best in Metabolic Syndrome (MetSyn) diagnostic, using ATP III criteria. Anthropometric measurements included waist circumference (WC), waist hip ratio (WHR), waist height ratio (WHtR) and body mass index (BMI). This study aimed to determine the prevalence of MetSyn and compare anthropometric indices for optimal predicting value with their respective cut-offs for MetSyn diagnosis among army members in ESFORSE, Ecuador. The study includes 181 participants (175 male and 6 female), with mean age 37 ± 6 years, MetSyn prevalence is 8%, with WC (p <.001), WHtR (p. .009) and WHR (p .020) as variables statistically significant. We analyzed the area under the curve (AUC) in a receiver operating characteristic (ROC) curve, in anthropometric measurements. Thus, WC and WHtR represent the highest AUC (WC: 0.77, 95% CI 0.69-0.86; WHtR: 0.70, 95% CI 0.59-0.82). The optimal cut-off values for predicting MetSyn are 92 cm in WC, 0.52 in WHtR and 0.93 in WHR. Therefore, the army members have a low prevalence of MetSyn, with WC as the best predicting value.

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.

A new anthropometric index to predict percent body fat in young adults

2020 ◽  
Vol 23 (9) ◽  
pp. 1507-1514
Author(s):  
Hyuk In Yang ◽  
Wonhee Cho ◽  
Ki Yong Ahn ◽  
Seung-chul Shin ◽  
Ju-hwa Kim ◽  
...  
Keyword(s):  
Young Adults ◽  
Body Fat ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Shape Index ◽  
Percent Body Fat ◽  
Clinical Settings ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Anthropometric Index

AbstractObjective:To propose a new anthropometric index that can be employed to better predict percent body fat (PBF) among young adults and to compare with current anthropometric indices.Design:Cross-sectional.Setting:All measurements were taken in a controlled laboratory setting in Seoul (South Korea), between 1 December 2015 and 30 June 2016.Participants:Eighty-seven young adults (18–35 years) who underwent dual-energy x-ray absorptiometry (DXA) were used for analysis. Multiple regression analyses were conducted to develop a body fat index (BFI) using simple demographic and anthropometric information. Correlations of DXA measured PBF (DXA_PBF) with previously developed anthropometric indices and the BFI were analysed. Receiver operating characteristic curve analyses were conducted to compare the ability of anthropometric indices to identify obese individuals.Results:BFI showed a strong correlation with DXA_PBF (r = 0·84), which was higher than the correlations of DXA_PBF with the traditional (waist circumference, r = 0·49; waist to height ratio, r = 0·68; BMI, r = 0·36) and alternate anthropometric indices (a body shape index, r = 0·47; body roundness index, r = 0·68; body adiposity index, r = 0·70). Moreover, the BFI showed higher accuracy at identifying obese individuals (area under the curve (AUC) = 0·91), compared with the other anthropometric indices (AUC = 0·71–0·86).Conclusions:The BFI can accurately predict DXA_PBF in young adults, using simple demographic and anthropometric information that are commonly available in research and clinical settings. However, larger representative studies are required to build on our findings.

scholarly journals Prevalence of obesity and an interrogation of the correlation between anthropometric indices and blood pressures in urban Lagos, Nigeria

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Oluseyi Adegoke ◽  
Obianuju B. Ozoh ◽  
Ifedayo A. Odeniyi ◽  
Babawale T. Bello ◽  
Ayesha O. Akinkugbe ◽  
...  
Keyword(s):  
Secondary Analysis ◽  
Predictive Ability ◽  
Shape Index ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Central Adiposity ◽  
Anthropometric Indices ◽  
Adiposity Index ◽  
Prevalence Of Obesity ◽  
Blood Pressures

AbstractAdverse cardiovascular outcomes are linked to higher burden of obesity and hypertension. We conducted a secondary analysis of data for 5135 participants aged ≥ 16 years from our community-based hypertension prevalence study to determine the prevalence of obesity and association between multiple anthropometric indices and blood pressure (BP). The indices were waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), a body shape index(ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), visceral adiposity index (VAI) and conicity index (CI). We performed statistical analyses to determine the association, predictive ability, cutoff values and independent determinants of hypertension. Crude prevalence of obesity was 136 per 1000 (95% confidence interval 126–146). BMI had the strongest correlation with systolic and diastolic BP (rs = 0.260 and 0.264, respectively). Indices of central adiposity (AVI, WC, WHtR, BRI) were the strongest predictors of hypertension (≥ 140/90 mmHg), and their cut-off values were generally higher in females than males. WHR, age, BMI and CI were independent determinants of hypertension ≥ 140 mmHg (p < 0.05). We conclude that, based on this novel study, measures of central adiposity are the strongest predictors and independent determinants of hypertension in our population, and cut-off values vary from previously recommended standards.

scholarly journals The product of waist and neck circumference outperforms traditional anthropometric indices in identifying metabolic syndrome in Chinese adults with type 2 diabetes: a cross-sectional study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Yunhong Huang ◽  
Liping Gu ◽  
Na Li ◽  
Fang Fang ◽  
Xiaoying Ding ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Roc Curves ◽  
Chinese Adults ◽  
Anthropometric Parameters ◽  
Anthropometric Indices ◽  
Men And Women

Abstract Background Traditional anthropometric indices are used in diagnosing metabolic syndrome (MetS). This study aimed to propose a novel index, a product of waist and neck circumferences (PWNC), and compared its value with traditional anthropometric parameters in identifying the presence of MetS in Chinese adults with type 2 diabetes mellitus (T2DM). Methods From September 2017 to June 2019, a total of 2017 Chinese adults with T2DM from the National Metabolic Management Center were included and categorized into a MetS group (1575 cases) and a non-MetS group (442 cases). Demographic and metabolic characteristics were compared between the two groups, and logistic regression analysis was performed for MetS. Body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), neck circumference (NC) and PWNC were assessed by constructing receiver operating characteristic (ROC) curves, and the area under the ROC curves was compared by DeLong’s test. Results Compared with the non-MetS group, men and women with MetS had higher blood pressure; higher levels of fasting plasma glucose, fasting insulin, and triglycerides (TGs); lower levels of high-density lipoprotein cholesterol (HDL-C); elevated homeostasis model assessment of insulin resistance (HOMA-IR); and higher BMI, WHR, WC, NC and PWNC (all P < 0.01). Logistic regression showed that PWNC, HDL-C, TGs, HOMA-IR, systolic blood pressure, hypertension and hypotensors were independent risk factors for MetS (all P < 0.01). PWNC, WC, NC, WHR and BMI displayed significant values in the ROC for MetS (all P < 0.01), while the area under the curve for PWNC was larger than that for traditional anthropometric parameters (WC, WHR and BMI) in both men and women (all P < 0.01). Conclusion PWNC outperformed traditional anthropometric parameters in identifying the presence of MetS in Chinese adults with T2DM.

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