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 . 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.
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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 . 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.
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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 .
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 , 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 . 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.
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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 . 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 better than BMI in previous studies. Lap is also associated with all-cause mortality in non-diabetic patients at high cardiovascular risk and all-cause, cardiovascular and congestive heart failure mortality in postmenopausal women. 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 . 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.It is also used as a method for obesity screening and health risk assessment.  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.