Accuracy Of Anthropometric Indicators Of Obesity To Predict Cardiovascular Risk

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New Obesity Index Associated with Fitness Among Korean Adults

obesity or a parameter to predict the risk of cardiovascular diseases [15-18]. Nevill et al. introduced a new waist-to height ratio (WHT.5R) as the WC divided by the square root of the height and found it to be the best anthropometric index of the cardiometabolic risk [19]. Bustamante et al. suggested

Accuracy of anthropometric indicators of obesity to predict

Accuracy of anthropometric indicators of obesity to predict cardiovascular risk Obesity and cardiovascular risk Harald J Schneider, MD (2), Heide Glaesmer, PhD (1), Jens Klotsche, PhD (1), Steffen Böhler, MD (3), Hendrik Lehnert, MD (4,5), Andreas M Zeiher, MD (6), Winfried März,

ECG Indices Poorly Predict Left Ventricular Hypertrophy and

May 06, 2020 Abstract: Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular events. The electrocardiography (ECG) has poor sensitivity, but it is commonly used to detect LVH. Aim: To evaluate the diagnostic efficacy of known ECG indicators to recognize LVH in subgroups with different cardiovascular risk levels.

1179 Original Article Derivation and validation of a simple

economic status (2,3) and anthropometric indicators (4) were all closely related to mortality. Studies have also demonstrated that obesity (5), elevated blood pressure (6), and diabetes (7) were significantly associated with the risk of all-cause mortality. In addition, meta-analyses suggested

Adiposity-Associated Anthropometric Indicators and Myocardial

increased risk of developing cardiovascular disease at an earlier age [25, 26]. The aim was to assess the relative importance of measurements and adiposity anthropometric indicators including %BF on the MI risk prediction in a sample of Europoid men. We evaluated the discriminatory capability by comparing the Receiver Operating Curves (ROC).

Methods of measuring obesity, with special emphasis on

highlight the main methods used to measure obesity, with special emphasis on children and adolescents. Anthropometric measurements are widely used and these include weight and height, relative weight, body mass index, skinfold thickness, waist and waist-hip circumference ratio. The visibility and accuracy of these methods were briefly discussed.

Recognition of visceral obesity beyond body fat: assessment

Evaluation of body fat and its distribution are important because they can predict several risk factors, mainly cardiovascular risk. Imaging techniques have high precision and accuracy for body fat measurement. However, trained personnel are required and the cost is high. Anthropometric indices might be used to evaluate body fat and its

Body Measurements (Anthropometry) Manual

Study. Anthropometric measurements such as skinfolds and circumferences and bioelectrical impedance (a method used to estimate the amount of lean tissue) will allow cross-sectional analysis of the relationship between obesity and risk of disease. Therefore, many of the measurements included in NHANES III will

Accuracy of Anthropometric Indicators of Obesity to Predict

Accuracy of Anthropometric Indicators of Obesity to Predict Cardiovascular Risk Harald J. Schneider, Heide Glaesmer, Jens Klotsche, Steffen Bo¨hler, Hendrik Lehnert,

BMC Public Health BioMed Central

the most important indicators of dyslipidaemia. Conclusion: A substantial proportion of Greek medical students were overweight or obese, obesity status being related to the presence of hypertension and dyslipidaemia. Simple anthropometric indices can be used to identify these CVD risk fa ctors. Our results underscore the

Estimation of newborn risk for child or adolescent obesity

prevalence of overweight or obesity [4]. Assessing the risk for future overweight or obesity in newborns may be a basis for focused preventive interventions for at-risk individuals during the very first months of their life. Even though several sociodemographic and anthropometric predictors, as well

ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN

anthropometric indicators AND cardiometabolic risk factors Observational studies on the ability of anthropometric indicators as predictors of clustered CMRF in children and adolescents in Portuguese, English and Spanish languages were included. Studies with a specific group of obese patients or with other diseases were not included.

FAraucaria sponsored Presentations and Publications

May 27, 2019 13. Koch E, Romero T, Diaz C, Manriquez L, Paredes M, Roman C, Taylor A. Accuracy of anthropometric measures of adiposity to predict cardiovascular risk factors in Chilean men and women. The San Francisco Project , Department of Internal Medicine and Cardiology,

Anthropometric and metabolic indices in assessment of type

The capacity of BRI to predict dyslipidemia was comparable but not superior to the classical indicators of obesity, whereas ABSI could not detect dyslipidemia. Keywords: Dyslipidemia, Plasma lipids, Body indices Introduction Obesity is previously shown to be associated with increased rates of dyslipidemia and other cardiovascular risk factors [1].

Comparative Evaluation And Correlation Of Different

and WC are commonly used to predict the risk of obesity related morbidity and mortality as they account for regional abdominal obesity 4, 5, 6. However, best index of obesity that is predictive for hypertension still remains as a controversial subject because predictive power of anthropometric indices is population dependent

Tezisek angol Pinter - u-szeged.hu

visceral fat and cardiovascular risk. Bioelectrical impedance analysis (BIA), already put into practical use, is a simple, noninvasive and inexpensive method for body fat measurement, even if its measure accuracy depends on a number of various factors. Because of their simplicity, a great number of different anthropometric

Overweight and Obesity in Physically Active Men in Punjab

Winfried März, David Pittrow, Günter K. Stalla, Hans-Ulrich Wittchen (2007); Accuracy of Anthropometric Indicators of Obesity to Predict Cardiovascular Risk, The Journal of Clinical Endocrinology & Metabolism, Volume 92, Issue 2, Pages 589 594, Joshi SR. (2003); Metabolic syndrome Emerging clusters of the Indian Phenotype.

Characteristic-Grouped Adiposity Indicators for Identifying

Oct 16, 2020 obesity that can better predict 10-year cardiovascular risk [15,16]. In insulin and fat function studies, triglyceride-glucose index (TGI) was used as a surrogate for identifying insulin resistance among healthy subjects [17], and visceral adiposity index (VAI) was identified as an indicator of visceral adipose function and insulin sensitivity

Neck Circumference as a New Anthropometric Indicator for

Obesity is well known as a cause of metabolic abnormalities. The distribution of excess adipose tissue may be considered to be more important than the total fat in conferring metabolic and cardiovascular risk [1]. The correlation between upper body fat distribution and increased cardiovascular disease risk, has long been recognized,

The Correlation between Body Mass Index, Abdominal

Abstract Obesity or being overweight is a factor in health that greatly lowers one s confidence. A lot of prevailing causes of death has been linked to obesity. The Body mass index (BMI), abdominal circumference, and hip circumference are anthropometric indicators commonly used to measure fat tissues in the body.

DETECT - Übersicht der Publikationen und Kongressaktivitäten

DETECT-study group: Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. J Clin Endocrinol Metab. 2007, 92(2): 589-594.

Open access Protocol Identifying and classifying

describe the anthropometric indicators used in studies, such as such as weight, height, circumferences, lengths and skin folds, that address its association with coronary artery calcification to identify cardiovascular risk in the adult population. Methods and analysis Using Arksey and O'Malley's scoping review methodology as a guide, our scoping

Anthropometric indices of obesity as an instrument of

predictors and indicators of the cardiovascular diseases risk factors (TC,TG, LDL,HDL,FBS). Pearson correlation coefficients were calculated to investigate the association between anthropometric variables and cardiovascular diseases risk factors. Multiple linear regressions (stepwise method) were carried out to determine the best

Performance of anthropometric indicators as predictors of

performance to other anthropometric indicators to pre-dict cardiovascular risk [17]. Therefore, the objectives of the present study were to identify the predictive power, with respective cut-off points, of four anthropometric indicators associated with the quantity and distribution of body fat (WC, BMI, WHtR, and C-Index) for the presence of

SCIENTIFIC OPINION ON I-CARE PLATFORM

These clinical anthropometric parameters have been reported as predictive scores for the risk of developing metabolic syndrome, type 2 diabetes and cardiovascular diseases. Many scientific societies support their clinical use in the prevention and screening of non communicable diseases, together with the evaluation of other well known risk

(2018) 43:1 Nutrire

Obesity is a condition of chronic inflammation of low intensity resulted primarily from excess fat [1, 2]. Several anthropometric and body composition indexes have been used to measure obesity and to assess the risk of metabolic and cardiovascular diseases [3, 4]. Excess body fat is a risk factor for cardiovascular disease

EVALUATION OF PERFORMANCE OF LIPID ACCUMULATION PRODUCT (LAP

shown to predict diabetes[24-26] and recognize cardio-vascular risk[27] better than BMI in previous studies. Lap is also associated with all-cause mortality in non-diabetic patients at high cardiovascular risk[28] and all-cause, cardiovascular and congestive heart failure mortality in postmenopausal women[29]. LAP has also been applied to

Open Access Full Text Article Adiposity Indicators as Cardio

Anthropometric data (weight, height, and waist circumference), the DXA-derived data, and cardio-metabolic (CM) risk parameters were analyzed. A Spearman partial correlation coefficient, Receiver Operating Characteristics (ROC) curve and an area under curve (AUC) were used to assess the predicting ability of adiposity indicators for CM risk

The Effects of Phase 2 Cardiac Rehabilitation on Changes in

are able to predict the likelihood of death in some diseases. These indicators include BMI, waist to hip ratio, Waist Circumference (WC), Hip Circumference (HC), and waist to height ratio. Obesity anthropometric indices are vogue and valuable body composition metrics to determine individual- and population-level risk for cardiovascular diseases

PREVENTING CHRONIC DISEASE

Anthropometric indices can be used as a suitable screening tool for early detection of CVD and to reduce its associated costs. Abstract Introduction Obesity is one of the main risk factors for cardiovascular disease (CVD) and cardiometabolic disease (CMD). Many studies have developed cutoff points of anthropometric indices for predicting these

Relationship between body composition indices and

anthropometric variables were used as predictors and indicators of the cardiovascular diseases risk factors (TC,TG,LDL,HDL,FBS). Pearson correlation coefficients were calculated to investigate the association between anthropometric variables and cardiovascular diseases risk factors. Multiple linear regressions (stepwise method)

Noninvasive tool for the diagnosis of NAFLD in association

cardiovascular risk Nevine I. Musa1*, Eslam Safwat1, Sara M. Abdelhakam2, Amir M. Farid2 and Waleed M. Hetta3 Abstract Background: Whether the severity of liver histology in non-alcoholic fatty liver disease (NAFLD) is associated with more pronounced cardiovascular disease is unsettled. There is a need to develop a noninvasive tool to help its

Appropriate Neck Circumference Cut-off Points for Abdominal

Obesity is a public health problem related to cardiovascular diseases, metabolic syndrome, cancer and other comorbidities [1]. Upper-body distribution of fat is more predictive of metabolic and cardiovascular diseases than whole body obesity. Body mass index (BMI), a traditional anthropometric marker used in majority of the epidemiological

Anthropometric Measures in the Prediction of High Fat

the most used anthropometric indicators because it is safe, easy to apply at a low cost and identifies the nutritional status of children and adolescents.[3]It is also used as a method for obesity screening and health risk assessment. [4] It is recognized as a predictor of morbidity and mortality of several

Article Face morphology: Can it tell us something about body

The accuracy of digital measure-ments has been shown compatible with applications in forensic medicine, ergonomics, clothing industry, and medical settings [11, 12]. In Section 2.2, we report on existing computational measures related to overweight, obesity and cardio-metabolic risk. 2.1. Standard anthropometric measurements

Visit-to-Visit Blood Pressure Variability and Arterial

stiffness proved to be positively and independently correlated with the risk category. Based on these param-eters it was possible to predict with 72.6% accuracy the probability of finding subjects in a high and very high cardiovascular risk category.

Diagnostic performance of individual characteristics and

eral anthropometric parameters (i.e. height, weight, BMI, BMI-z, and height-z) as predictive factors of an elevated ALAT activity in Shenzhen children and adolescents, and to determine the optimal cut-off points for these pa-rameters that would identify a person with an elevation of serum ALAT level. Assessing individual indicators is

Rev Bras Cineantropom Hum - SciELO

Accuracy of anthropometric indicators for obesity Weiss et al. 550 pometric indicators in predicting excess body fat have been conducted in students of different age groups (children and adolescents) 11,13 from differ-ent regions of the state of Santa Catarina 11 from public schools and have used BMI, WC and WHtR as anthropometric indicators 13

Comparison of Anthropometric Indices in Predicting the Risk

The prevalence of obesity is increasing, and obese people are prone to chronic diseases such as Type 2 diabetes, hypertension, cardiovascular disease, and some cancers.