scholarly journals Comparison of anthropometric and body composition indices in the identification of metabolic risk factors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bum Ju Lee ◽  
Mi Hong Yim
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Fat Mass ◽  
The Body ◽  
Metabolic Risk Factors ◽  
Sample Survey ◽  
Whole Body ◽  
Metabolic Risk ◽  
Anthropometric Indices ◽  
Total Fat

AbstractWhether anthropometric or body composition indices are better indicators of metabolic risk remains unclear. The objectives of this study were to compare the association of metabolic risk factors with anthropometric and body composition indices and to identify the better indicators for risk factors in a large-scale Korean population. In this cross-sectional study, the associations of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) as anthropometric indices and trunk fat mass (TFM), percent trunk fat mass (%TFM), whole-body total fat mass (WBTFM), and percent whole-body total fat mass (%WBTFM) as body composition indices with metabolic risk factors were compared by complex-samples multiple logistic regression models based on complex-sample survey data. In men, WHtR, BMI, and TFM were similarly associated with hypertension. Diabetes, hyperlipidemia, and hypo-high-density lipoprotein (HDL) cholesterolemia tended to be more strongly associated with WHtR and WC than body composition indices. Hypertriglyceridemia and hypercholesterolemia were more strongly associated with WHtR and %TFM than other indices. In women, hypertension tended to be more strongly associated with WHtR than other indices. TFM, %TFM, and WHtR were similarly associated with hyperlipidemia. Diabetes and hypo-HDL cholesterolemia were more strongly associated with WHtR and WC than body composition indices. Hypertriglyceridemia and hypercholesterolemia were more strongly associated with WHtR and %TFM than other indices. Among six metabolic risk factors, the validity and utility of the anthropometric indices in identifying risk factors tended to be similar to or better than those of the body composition indices, except for hypertension and hypercholesterolemia in men and hyperlipidemia and hypercholesterolemia in women.

scholarly journals Evaluation of Anthropometric Indices for Metabolic Syndrome and their Association with Metabolic Risk Factors among Healthy Individuals in New Belgrade

2013 ◽  
Vol 30 (1) ◽  
pp. 21-30
Author(s):  
Veroslava Stanković ◽  
Svetlana Stojanović ◽  
Nađa Vasiljević
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Blood Glucose ◽  
Health Risk ◽  
Density Lipoprotein ◽  
Metabolic Risk Factors ◽  
Lipoprotein Cholesterol ◽  
Metabolic Risk ◽  
Anthropometric Indices

Summary People with metabolic syndrome (MetSy) are about twice as likely to develop cardiovascular disease and over four times as likely to develop type 2 diabetes compared to subjects without metabolic syndrome. Waist circumferences (WC) and body mass index (BMI) are useful screening tools for making the diagnosis. MetSy has increased the health risk in primary care. The aim of the study was to evaluate the anthropometric indices for MetSy and determine which of simple anthropometric measurements is most closely associated with metabolic risk factors. The research included 264 individuals, of which 132 men with mean age (±SD) of 44.73 ±9.37 years and 132 women with mean age (±SD) of 46.67±8.44 years. Antropometric indicators were measured using standard protocols, without shoes and outerwear. BMI was calculated as weight/height2(kg/m2) ratio, as recommended by the World Health Organization (WHO). Blood pressure measurements were obtained with the subject in a seated position by using a standard mercury sphygmomanometer. Blood samples were obtained after a minimum of 12-h fast; the metabolic parameters (high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, triglycerides, blood glucose) were analyzed by standard procedures. Analysis of the examinees’ medical records was also performed. Metabolic syndrome was diagnosed using the International Diabetes Federation (IDF) criteria. The analysis of the research results were performed using the Statistical Package for Social Science version 10.0 (SPSS 10.0 for Windows). The prevalence of the metabolic syndrome was 44.7% in men and 43.2% in women. Normal-weight subjects of both sexes were significantly younger and had significantly lower blood glucose, total cholesterol, LDL and triglycerides than overweight and obese subjects. Systolic and diastolic blood pressure values were significantly increased in parallel with increasing of BMI. For the whole sample, both anthropometric indices had significant associations with the other five components of MetSy. Waist circumference is a simple measure of adiposity most strongly associated with metabolic abnormalities. The results obtained in this study indicate that WC is a good indicator of health risk in women but not in men. Measurement of WC by BMI categories may indicate a person with an increased risk of development of chronic diseases.

scholarly journals Composição corporal na síndrome metabólica: Proposta de um protocolo de ensaio clínico randomizado avaliando o efeito do exercício de vibração de corpo inteiro

2019 ◽  
Vol 18 (1) ◽  
pp. 33-40
Author(s):  
Aline S. Reis ◽  
Laisa L. Paineiras-Domingos ◽  
Eloá Moreira-Marconi ◽  
Márcia C. Moura-Fernandes ◽  
Hervé Quinart ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Body Composition ◽  
Low Cost ◽  
Whole Body Vibration ◽  
Strong Relationship ◽  
The Body ◽  
Whole Body ◽  
Control Group ◽  
Body Vibration

Introduction: Metabolic syndrome (MetS) is characterized bya group of cardiovascular risk factors, such as hypertension,hyperglycemia, hypercholesterolemia, low high-density cholesteroland increased abdominal fat. Over the years, changesin body composition occur, with accelerated loss of lean massand increased fat mass, favoring cardiometabolic disorders.A strong relationship exists between physical inactivity andthe presence of multiple risk factors for MetS. Thus, physicalexercise has been recommended for the prevention of cardiovascular,chronic and MetS diseases. Whole-body vibration(WBV) exercise can be considered to be an exercise modalitythat benefits the muscular strength and cardiovascular healthof elderly, sick and healthy people. Individuals with MetSare unmotivated to perform physical exercise regularly and,therefore, new approaches to intervention for this populationare desirable. Objectives: The aim of this study is to presenta protocol to verify the effect of WBV exercise on the bodycomposition of MetS individuals. Methods: Randomized controlledtrial with MetS individuals that will be allocated to anintervention group (WBVG) and a control group (CG). Participantswill be placed barefoot on the base of a side alternatingvibrating platform, with 130º knee flexion. Individuals (WBVGand CG) will perform the protocol for 12 weeks, twice a week.The CG subjects will perform the exercises at 5Hz throughoutthe intervention and those from the WBVG will perform the5Hz exercises in the first session, adding 1Hz per session, endingthe protocol at 16Hz. The body composition will be evaluatedbefore and after the protocol using bioelectrical impedanceanalysis. Discussion: Studies involving WBV exercise haveshown improvement in composition in individuals withdifferent conditions (healthy and unhealthy). Conclusion: Theproposed protocol will permit the acquisition of findings thatwill be relevant in the evaluation of the effect of the WBV onthe body composition of MetS individuals due to its ease ofrealization, low cost and safety.Keywords: Whole body vibration exercise; Metabolic syndrome;Physical activity.

scholarly journals Association of body composition indexes with cardio-metabolic risk factors

2020 ◽  
Vol 17 ◽  
pp. 100171 ◽  
Author(s):  
Marcin Czeczelewski ◽  
Jan Czeczelewski ◽  
Ewa Czeczelewska ◽  
Anna Galczak-Kondraciuk
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

scholarly journals Rapid Weight Loss vs. Slow Weight Loss: Which is More Effective on Body Composition and Metabolic Risk Factors?

2017 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Damoon Ashtary-Larky ◽  
Matin Ghanavati ◽  
Nasrin Lamuchi-Deli ◽  
Seyedeh Arefeh Payami ◽  
Sara Alavi-Rad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Body Composition ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Rapid Weight Loss

scholarly journals The 482Ser ofPPARGC1Aand 12Pro ofPPARG2Alleles Are Associated with Reduction of Metabolic Risk Factors Even Obesity in a Mexican-Mestizo Population

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Mónica Vázquez-Del Mercado ◽  
Milton-Omar Guzmán-Ornelas ◽  
Fernanda-Isadora Corona Meraz ◽  
Clara-Patricia Ríos-Ibarra ◽  
Eduardo-Alejandro Reyes-Serratos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Fat ◽  
The Body ◽  
Metabolic Risk Factors ◽  
Polymorphism Analysis ◽  
Metabolic Risk ◽  
Functional Polymorphisms ◽  
Mexican Mestizos ◽  
Polymerase Chain ◽  
The Relationship

The aim of this study was to investigate the relationship between functional polymorphisms Gly482Ser inPPARGC1Aand Pro12Ala inPPARG2with the presence of obesity and metabolic risk factors. We included 375 individuals characterized as Mexican-Mestizos and classified by the body mass index (BMI). Body dimensions and distribution of body fat were measured. The HOMA-IR and adiposity indexes were calculated. Adipokines and metabolic profile quantification were performed by ELISA and routine methods. Genetic polymorphisms were determined by polymerase chain reaction restriction fragment length polymorphism analysis. A difference between obese and nonobese subjects in polymorphismPPARGC1Adistribution was observed. Among obese individuals, carriers of genotype 482Gly/Gly were observed to have decreased body fat, BMI, and body fat ratio versus 482Ser/Ser carriers and increased resistin and leptin levels in carriers Gly+ phenotype versus Gly− phenotype. Subjects withPPARG2Ala− phenotype (genotype 12Pro/Pro) showed a decreased HOMA-IR index versus individuals with Ala+ phenotype (genotypes 12Pro/Ala plus 12Ala/Ala). We propose that, in obese Mexican-Mestizos, the combination of alleles 482Ser inPPARGC1Aand 12Pro inPPARG2represents a reduced metabolic risk profile, even when the adiposity indexes are increased.

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