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

2009 ◽  
Vol 13 (4) ◽  
pp. 488-495 ◽  
Author(s):  
Ahmet Selçuk Can ◽  
Emine Akal Yıldız ◽  
Gülhan Samur ◽  
Neslişah Rakıcıoğlu ◽  
Gülden Pekcan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Cardiometabolic Risk Factors ◽  
Youden Index ◽  
Cross Sectional ◽  
Men And Women

AbstractObjectiveTo identify the optimal waist:height ratio (WHtR) cut-off point that discriminates cardiometabolic risk factors in Turkish adults.DesignCross-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).SettingTurkey, 2003.SubjectsAdults (1121 women and 571 men) aged 18 years and over were examined.ResultsAnalysis 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.ConclusionsWe show that the optimal WHtR cut-off point to discriminate cardiometabolic risk factors is 0·59 in Turkish adults.

Association between Muscle Mass and Muscle Strength with Physical Performance in Elderly in Surabaya

2020 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Titin Kristiana ◽  
Novira Widajanti ◽  
Rwahita Satyawati
Keyword(s):  
Muscle Strength ◽  
Muscle Mass ◽  
Physical Performance ◽  
Handgrip Strength ◽  
Positive Association ◽  
The Elderly ◽  
Bivariate Analysis ◽  
Weak Correlation ◽  
Elderly Age ◽  
Cross Sectional

ABSTRACTBackground: Sarcopenia is a decrease in muscle mass and strength that mostly happens in the elderly. Sarcopenia is a problem that is often found in the elderly who are at risk of disability, hospitalization and death. This data on muscle mass and strength with physical performance is expected to support the theory of sarcopenia and as a reference in promoting and preventing sarcopenia in elderly.Aims: To analyze the association between muscle mass and strength (handgrip strength) with physical performance assessed using Short Physical Performance Battery (SPPB) in an elderly community.Methods: This study was a cross-sectional observational analytic study involving 203 sample of elderly (age >60 years old). The subjects were categorized as the strong and weak muscle mass and muscle strength, also the high, moderate and low physical performance. We used Bioimpedance Analysis (BIA) and hand dynamometer to measure muscle mass and muscle strength (handgrip strength). SPPB was used to assess physical performance.The association between muscle mass and strength with physical performance was displayed in bivariate analysis with chi square.Result: Of all 203 subjects, 57 were males and 146 were females. Chi square test showed association between muscle strength (handgrip strength) with physical performance (SPPB) (p=0.001), with a weak correlation (r=0.26) and no association between muscle mass and physical performance (SPPB) (p=0.517).Conclusion: There is a positive association between muscle strength with physical performance, with a weak correlation and no association between muscle mass and physical performance in the elderly community in Surabaya.

scholarly journals Fat-to-Muscle Ratio: A New Anthropometric Indicator as a Screening Tool for Metabolic Syndrome in Young Colombian People

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1027 ◽  
Author(s):  
Robinson Ramírez-Vélez ◽  
Hugo Carrillo ◽  
Jorge Correa-Bautista ◽  
Jacqueline Schmidt-RioValle ◽  
Emilio González-Jiménez ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Large Population ◽  
International Diabetes Federation ◽  
Area Under The Curve ◽  
Bioelectrical Impedance ◽  
Roc Curves ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Alternative Approach

Fat-to-muscle ratio has been proposed as an alternative approach for assessing body fat. The objective of this study was to explore fat-to-muscle ratio thresholds in metabolic syndrome (MetS) diagnosis; it was hypothesised that the fat-to-muscle ratio is a good predictive indicator of MetS in a large population of young Colombian adults. For this purpose, a cross-sectional study was conducted on 1416 subjects (66.6% female), aged from 18.1 to 25.1. As part of the study, measurements of the subjects’ anthropometric indicators, serum lipid indices, blood pressure, and fasting plasma glucose were taken. Body composition was measured through bioelectrical impedance analysis (BIA). A new variable (ratio of fat mass to muscle mass, in kg) was calculated. Following the International Diabetes Federation (IDF) definition, MetS includes three or more metabolic abnormalities. Receiver operating characteristic (ROC) curves and logistic regression determined the discriminatory ability of the fat-to-muscle ratio to predict MetS. According to the IDF, the best fat-to-muscle ratio cut-off point for detecting MetS in men was 0.225 kg, with an area under the curve (AUC) of 0.83, sensitivity of 80%, and specificity of 70%. For women, the fat-to-muscle ratio cut-off point was 0.495 kg, the AUC was 0.88, and the sensitivity and specificity were 82% and 80%, respectively. In conclusion, our results showed that the fat-to-muscle ratio cut-off points from ROC analyses demonstrate good discriminatory power for detecting MetS in young Colombian adults.

scholarly journals Cutoff Point of TyG Index for Metabolic Syndrome in Brazilian Farmers

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1031-1031
Author(s):  
Júlia Ferreira ◽  
Eliana Zandonade ◽  
Olívia Bezerra ◽  
Luciane Salaroli
Keyword(s):  
Metabolic Syndrome ◽  
Area Under The Curve ◽  
Epidemiological Studies ◽  
Cutoff Point ◽  
Youden Index ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Insulin Resistant ◽  
Tyg Index ◽  
Unified Health System

Abstract Objectives The determination of Insulin Resistance (IR) requires sophisticated and costly methods, for this reason the TyG Index was proposed. However, there are still no studies in Brazil using Metabolic Syndrome (MetS) as a predictor of IR. Thus, the aim of this study was to determine the cutoff point for TyG as one of the indirect indices for MetS in a rural Brazilian population. Methods Cross-sectional observational epidemiological study conducted in a rural municipality in Brazil. The study population were 790 adult family farmers. The TyG index was calculated: Ln [fasting triglycerides (mg/dL) x fasting glycemia (mg/dL)]/2, and MetS was defined using the NCEP-ATPIII and IDF criteria. To describe the study variables, measures of central tendency and dispersion measures were used. For association analysis, the Mann-Whitney U test was used and the comparison between means was made using the Kruskal-Wallis test. For correlations, Spearman's correlation test was used. The cutoff values of TyG Index for MetS were obtained using the Receiver Operating Characteristic (ROC) curve analysis with the area under the curve (AUC) and the Youden Index. Results The median TyG values were higher among individuals diagnosed with MetS (P &lt; 0.001), and increased according to the aggregation of the components of MetS. All MetS components were correlated with TyG (P &lt; 0.001). The AUC for NCEP was 0.873 (0.848–0.896; P &lt; 0.001), with Youden's cutoff point of Ln 4.52 (sensitivity: 84.30%; specificity: 75.75%). The AUC for IDF was 0.867 (0.842–0.890; P &lt; 0.001), with Youden's cutoff point of Ln 4.55 (sensitivity: 80.0%; specificity: 79.82%). A cutoff point of Ln 4.52 was defined. Conclusions The TyG Index is a reliable marker for identifying insulin-resistant individuals, and correlates with the metabolic changes present in MetS. A cutoff point of Ln 4,52 has good sensitivity and specificity in both diagnostic criteria of MetS, being useful both in clinical practice and epidemiological studies, and can represent an important tool for the creation of protocols for promotion, protection and recovery health of rural populations. Funding Sources Research Program of the Unified Health System (PPSUS), through the notice FAPES/CNPq/Decit-SCTIE-MS/SESA No. 05/2015 – PPSUS.

scholarly journals Association between Muscle Mass and Muscle Strength with Physical Performance in Elderly in Surabaya

2020 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Titin Kristiana ◽  
Novira Widajanti ◽  
Rwahita Satyawati
Keyword(s):  
Muscle Strength ◽  
Muscle Mass ◽  
Physical Performance ◽  
Handgrip Strength ◽  
Positive Association ◽  
The Elderly ◽  
Bivariate Analysis ◽  
Weak Correlation ◽  
Elderly Age ◽  
Cross Sectional

ABSTRACTBackground: Sarcopenia is a decrease in muscle mass and strength that mostly happens in the elderly. Sarcopenia is a problem that is often found in the elderly who are at risk of disability, hospitalization and death. This data on muscle mass and strength with physical performance is expected to support the theory of sarcopenia and as a reference in promoting and preventing sarcopenia in elderly.Aims: To analyze the association between muscle mass and strength (handgrip strength) with physical performance assessed using Short Physical Performance Battery (SPPB) in an elderly community.Methods: This study was a cross-sectional observational analytic study involving 203 sample of elderly (age >60 years old). The subjects were categorized as the strong and weak muscle mass and muscle strength, also the high, moderate and low physical performance. We used Bioimpedance Analysis (BIA) and hand dynamometer to measure muscle mass and muscle strength (handgrip strength). SPPB was used to assess physical performance.The association between muscle mass and strength with physical performance was displayed in bivariate analysis with chi square.Result: Of all 203 subjects, 57 were males and 146 were females. Chi square test showed association between muscle strength (handgrip strength) with physical performance (SPPB) (p=0.001), with a weak correlation (r=0.26) and no association between muscle mass and physical performance (SPPB) (p=0.517).Conclusion: There is a positive association between muscle strength with physical performance, with a weak correlation and no association between muscle mass and physical performance in the elderly community in Surabaya.

scholarly journals Triglycerides and Glucose Index as Potential Marker of Metabolic Syndrome

2020 ◽  
Vol 5 (1) ◽  
pp. 85
Author(s):  
Mariya Tabassum ◽  
Miliva Mozaffor ◽  
Md Matiur Rahman ◽  
Reaz Mahmud Huda
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Serum Glucose ◽  
Cross Sectional ◽  
Tyg Index ◽  
Potential Marker ◽  
Sensitivity Specificity

Background:Triglycerides and Glucose Index (TyG index), a product from fasting levels of triglycerides and glucose, presented promising results as apotential marker of metabolic syndrome in different ethnicity. However, no such reports are available in our population to date.Objective: To see the effectiveness of ‘Triglycerides and Glucose Index’ to predict metabolic syndromein a Bangladeshi population.Methods: This cross-sectional study was carried out in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, from March 2016 to February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, who attended the out-patient-departments of the same institution. Anthropometric measurements were recorded – height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose andlipid profile. Then TyG index was calculated and evaluated as a tool in diagnosis of metabolic syndrome in the study subjects.Receiver operating characteristic (ROC) curves were plotted to assess the performance of TyG index in MetS prediction by gender. The power of MetS prediction was quantified by the area under the curve (AUC) with 95% confidence intervals.Results: Sensitivity, specificity, positive predictive value and negative predictive value of TyG index to predict metabolic syndrome were 70.45%, 82.14%, 75.61% and 77.97%in males and 25.00%, 97.32%, 88.00% and 62.29%in females respectively. ROC curve showed optimal cut off value 8.72 and area under the curve 0.72 in male study subjects; in female study subjects, the values were 8.72 and 0.96 respectively (P<0.001).Conclusion:Triglycerides and Glucose Index (TyG index) represents a simple,accessible and effective tool for assessment of metabolic syndrome in Bangladeshi population.International Journal of Human and Health Sciences Vol. 05 No. 01 January’21 Page: 85-89

scholarly journals Influence of Medial Longitudinal Arch Deformation on Body Characteristics, Muscle Strength, Locomotive Function in the Community-Dwelling Elderly: A cross-section study

2020 ◽  
Author(s):  
Hidetoshi Nakao ◽  
Masakazu Imaoka ◽  
Mitsumasa Hida ◽  
Ryota Imai ◽  
Fumie Tazaki ◽  
...  
Keyword(s):  
Muscle Strength ◽  
Measurement Method ◽  
Walking Speed ◽  
Handgrip Strength ◽  
Age Groups ◽  
The Elderly ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Skeletal Mass ◽  
Foot Arch

Abstract Background: Foot deformity can cause walking difficulty and posture problems in all age groups and lead to even more serious health problems in the elderly. This cross-sectional study aimed to investigate the effects of foot arch deformation on physical characteristics, muscular strength, and motor function in the community-dwelling elderly. We also assessed the reliability of the foot measurement method used in this study. Methods: Overall, 204 community-dwelling elderly participants, of whom 159 were women, aged 65 to 90 years old, were included in this study. This study measured and analyzed the feet arch height ratio (AHR, dorsal height/truncated foot length). Participants were classified based on the AHR values above, below, or within 1.5 SD into the High-Arched Group (HAG), Low-Arched Group (LAG), or Normal-Arched Group (NAG), respectively. Furthermore, the reliability of the foot arch measurement method was examined in 17 university students. The survey items compared body characteristics (age, height, weight, body mass index (BMI), and skeletal mass index), muscle strength (handgrip strength and foot intrinsic strength), and locomotive function (two-step value and gait speed) among the three groups based on AHR. The foot measurements and sex differences were measured using the Mann-Whitney test. The associations among the three groups were analyzed using the Kruskal-Wallis test. Results: There were significant differences in BMI and walking speed among the three groups categorized according to AHR. The HAG had the highest BMI and the lowest walking speed among all groups. The foot measurements demonstrated high or moderate reliability. Conclusions: The decreased walking speed of elderly people was found to be associated with high-arched feet. Additionally, the BMI could be associated with high-arched feet. Longitudinal studies are needed to confirm whether obesity increases the incidence of high-arched feet.

scholarly journals Hubungan antara sindrom metabolik dengan kebugaran jasmani pada lansia

2021 ◽  
Vol 9 (2) ◽  
pp. 159-167
Author(s):  
Prijo Sudibjo ◽  
Cerika Rismayanthi ◽  
Krisnanda Dwi Apriyanto
Keyword(s):  
Metabolic Syndrome ◽  
Muscle Strength ◽  
Cardiorespiratory Fitness ◽  
The Elderly ◽  
Adult Treatment Panel ◽  
Cross Sectional ◽  
Walking Test ◽  
Leg Strength ◽  
Consecutive Sampling ◽  
Hand Grip

Prevalensi sindrom metabolik pada lansia cukup tinggi. Sindrom metabolik dapat dicegah salah satunya dengan aktivitas fisik. Aktivitas fisik juga dapat meningkatkan kebugaran kardiorespirasi, kelenturan sendi, keseimbangan dan kekuatan otot. Penelitian ini bertujuan untuk mengetahui hubungan antara sindrom metabolik dengan kebugaran kardiorespirasi, fleksibilitas, kekuatan, dan keseimbangan pada lansia. Penelitian ini merupakan penelitian cross sectional dengan teknik consecutive sampling pada 118 lansia di Yogyakarta. Sindrom metabolik ditetapkan berdasarkan kriteria diagnosis dari Adult Treatment Panel. Instrumen yang digunakan untuk mengumpulkan data adalah tes jalan 6 menit (6-minute walking test), sit and reach, hand grip dynamometer, leg and back dynamometer dan berdiri satu kaki. Teknik analisis dengan menggunakan uji korelasi Spearman. Hasil dari penelitian menunjukkan bahwa sebanyak 32 lansia mengalami sindrom metabolik. Tujuh puluh dari 118 orang memiliki data yang lengkap untuk analisis korelasi. Terdapat korelasi antara sindrom metabolik dengan kekuatan otot tungkai/leg strength (r=-0,295, p=0,013) dan keseimbangan (r=-0,282, p=0,018), namun tidak ada korelasi antara sindrom metabolik dengan kekuatan peras tangan/hand grip, kekuatan otot punggung/back strength (p=0,405), kebugaran kardiorespirasi (p=0,103) dan fleksibilitas (p=0,488). Dapat disimpulkan bahwa lansia yang terdiagnosis mengalami sindrom metabolik cenderung mengalami pelemahan kekuatan tungkai dan penurunan keseimbangan. Oleh karenanya, lansia perlu melakukan aktivitas fisik untuk meningkatkan kekuatan otot tungkai dan keseimbangan. The Correlation between metabolic syndrome and physical fitness in elderly AbstractThe prevalence of metabolic syndrome in the elderly is quite high. One way to prevent metabolic syndrome is by being physical active. Physical activity can also improve cardiorespiratory fitness, joint flexibility, balance and muscle strength. This study aimed to determine the relationship between metabolic syndrome and cardiorespiratory fitness, flexibility, strength, and balance in the elderly. This study was a cross sectional study with a consecutive sampling technique on 118 elderly people in Yogyakarta. Metabolic syndrome was defined based on the diagnostic criteria from the Adult Treatment Panel. The instruments used to collect the data were a 6-minute walking test, sit and reach, hand grip dynamometer, leg and back dynamometer and standing on one leg. The analysis technique used the Spearman correlation test. The results of the study showed that 32 elderly had metabolic syndrome. Seventy out of 118 people had complete data for correlation analysis. There was a correlation between metabolic syndrome and leg muscle strength (r = -0.295, p = 0.013) and balance (r = -0.282, p = 0.018), but there was no correlation between metabolic syndrome and hand grip strength. back muscle strength (p = 0.405), cardiorespiratory fitness (p = 0.103) and flexibility (p = 0.488). It can be concluded that the elderly who are diagnosed with metabolic syndrome tend to experience weakened leg strength and decreased balance. Therefore, the elderly need to do physical activity to improve leg muscle strength and balance.

Indicators of Adiposity Predictors of Metabolic Syndrome in the Elderly

2017 ◽  
Vol 70 (1) ◽  
pp. 9-15 ◽  
Author(s):  
Carolina Cunha de Oliveira ◽  
Anna Karla C. Roriz ◽  
Lilian B. Ramos ◽  
Mansueto Gomes Neto
Keyword(s):  
Metabolic Syndrome ◽  
Characteristic Curve ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Youden Index ◽  
Visceral Adiposity Index ◽  
Cross Sectional ◽  
Waist To Height Ratio ◽  
Conicity Index

Background: Adiposity indicators can be used as predictors of cardiovascular risk in the elderly. However, there are only a very few studies that deal with the accuracy of adiposity indicators as predictors of metabolic syndrome (MS) in the elderly. We evaluated the performance of adiposity indicators of MS prediction in the elderly. Methods: A cross-sectional study with 203 elderly people of both genders. Variables: MS defined by harmonized criteria, waist circumference (WC), waist-to-height ratio (WHtR), conicity index (CI), lipid accumulation product (LAP), and visceral adiposity index (VAI). Area under the receiver operating characteristic curve (AUC), sensitivity (sens) and specificity (spec). Results: The WC, WHtR, and LAP indicators showed the highest AUC, with values greater than 0.84. For the general population, WHtR and LAP had the highest Youden index values, identifying a point of approximately 0.55 (sens: 85.6%; spec: 80.4%) for WHtR and 32.3 (sens: 81.1%; spec: 75.0%) for LAP. When analyzed by gender, it was observed that the WC and WHtR had the highest Youden index values for prediction of MS in both genders. The CI and VAI showed the lowest discriminatory power for MS. Conclusion: Both the adiposity indicators, WC and WHtR, as well as LAP, had high accuracy in MS discrimination. Therefore, they are effective in MS assessment in the elderly and during follow-up for individual and collective clinical practice.

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