scholarly journals A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations

2020 ◽  
Vol 17 (21) ◽  
pp. 7940
Author(s):  
Rafael Molina-Luque ◽  
Aina M Yañez ◽  
Miquel Bennasar-Veny ◽  
Manuel Romero-Saldaña ◽  
Guillermo Molina-Recio ◽  
...  
Keyword(s):  
Body Fat ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Population Characteristics ◽  
Concordance Correlation ◽  
Cross Sectional ◽  
Body Adiposity ◽  
Percentage Of Body Fat ◽  
Bland Altman Method ◽  
Cardiovascular Pathologies

There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (ECORE-BF) was developed to simplify the calculation of BF% while maintaining a similar level of accuracy. The objective was to compare ECORE-BF in a large sample of Spanish workers using CUN-BAE as a reference. A cross-sectional study was carried out on 196,844 participants. The BF% was estimated using different formulas: relative fat mass (RFM), Palafolls, Deurenberg, and ECORE-BF. The accuracy of the estimation was determined using Lin’s concordance correlation coefficient (CCC) and the Bland–Altman method, using CUN-BAE as the reference method. ECORE-BF reached the highest concordance (CCC = 0.998). It also showed the lowest mean difference (−0.0077) and the tightest agreement limits (−0.9723, 0.9569) in the Bland–Altman test. In both analyses, it remained robust even when separating the analyses by sex, nutritional status, or age. ECORE-BF presented as the most straightforward and most accurate equation for the estimation of BF%, remaining robust regardless of population characteristics.

scholarly journals HemoCue against Coulter LH-750 in the estimation of hemoglobin levels of blood donors in mobile collection settings: a comparative study

2018 ◽  
Vol 27 (4) ◽  
pp. 250-5
Author(s):  
Sultan A.M. Saghir ◽  
Amer A. Almaiman ◽  
Aishah K.A. Shatar ◽  
Norris Naim ◽  
Huda S. Baqir
Keyword(s):  
Blood Donors ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Outpatient Setting ◽  
Concordance Correlation ◽  
Cross Sectional ◽  
New Device ◽  
Coefficients Of Variation ◽  
Significant Difference

Background: The fast and outpatient setting for a determination of the hemoglobin (Hb) level is a well-recognized prerequisite to detect anemia in blood donors. This study aimed to evaluate the performance of the HemoCue methods (HemoCue B-Hb and HemoCue-301) against Coulter LH-750 as a reference method for Hb determination.Methods: This study was an experimental cross-sectional study. It includes 455 blood samples that were collected from volunteer blood donors between January 15, 2010 and February 15, 2011. The performance of the three methods and their comparisons were assessed using the analysis of coefficients of variation (CV), linear regression, and mean difference. Correlation coefficient and Bland–Altman plots were drawn to compare the two HemoCue measurements and the automated cell analyzer against each other and to evaluate their results. The Hb concentrations were compared using the concordance correlation coefficient.Results: The findings exhibited that the CV for the three methods Coulter LH-750, HemoCue B-Hb, and HemoCue-301 were 0.60%, 0.72%, and 0.92%, respectively. A statistically significant difference was observed between the means of the Hb measurements for the three methods (p<0.001). The HemoCue B-Hb and HemoCue-301 methods showed the best agreement, and the Coulter LH-750 method gave a lower Hb value compared with the two HemoCue methods. The results showed a positive correlation of HemoCue Hb results compared with the reference method.Conclusion: All three methods provide a good agreement for Hb determination. The new device HemoCue-301 was found to be more accurate compared with HemoCue B-Hb and Coulter LH-750.

scholarly journals Propriedade diagnóstica dos indicadores antropométricos na predição do excesso de gordura corporal estimado por meio do DXA em mulheres hipertensas

2017 ◽  
Vol 19 (3) ◽  
pp. 299
Author(s):  
Camila Tomicki ◽  
Aline Mendes Gerage ◽  
Raphael Mendes Ritti-Dias ◽  
Diego Augusto Santos Silva ◽  
Tânia Rosane Bertoldo Benedetti
Keyword(s):  
Body Fat ◽  
Roc Curve ◽  
Reference Method ◽  
Cross Sectional Study ◽  
Height Ratio ◽  
Cross Sectional ◽  
Anthropometric Indicators ◽  
Waist To Height Ratio ◽  
Total Fat ◽  
Conicity Index

Excess body fat is an important risk factor for the development of arterial hypertension. The aim of this study was to verify the diagnostic performance of anthropometric indicators in the prediction of excess body fat estimated by Dual-energy Radiometric Absorptiometry (DXA) in hypertensive women. A cross-sectional study with 71 hypertensive women (57.9 ± 10.1 years; 77.8 ± 15.1 kg; 156.8 ± 5.2 cm) was carried out. he anthropometric indicators analyzed were: Body Mass Index (BMI), Waist Circumference (WC), Waist-to-Hip Ratio (WHR), Waist-to-Height Ratio (WHtR) and Conicity Index (C Index). Body fat measured by DXA was used as the reference method. Descriptive statistics and ROC curve were used for data analysis. Comparing the anthropometric indicators with the percentage of total fat estimated by DXA, signiicant diferences were observed in BMI, WC and WHR (P <0.05). In relation to the percentage of trunk fat, a diference was identiied in BMI and WC (P <0.05). Among the anthropometric indicators analyzed, BMI (0.83), WC (0.79) and WHtR (0.80) had the largest areas under the ROC curve in relation to excess body fat determined by DXA. he cutof points were conservative in relation to those suggested in literature. Anthropometric indicators BMI (24.72 kg/m²), WC (87.81 cm) and WHtR (0.55) can be adopted in the evaluation of excess body fat in hypertensive women, since they demonstrated to be good predictors when confronted with DXA.

scholarly journals High body fat percentage is associated with primary aldosteronism: a cross-sectional study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Worapaka Manosroi ◽  
Pichitchai Atthakomol
Keyword(s):  
Essential Hypertension ◽  
Body Fat ◽  
Primary Aldosteronism ◽  
Cross Sectional Study ◽  
Body Fat Percentage ◽  
Sectional Study ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Percentage Of Body Fat ◽  
The Relationship

Abstract Background Excess aldosterone has been shown to be associated with obesity; however, there is currently a lack of data regarding the relationship between percentage of body fat and primary aldosteronism (PA), particularly pertaining to Asian populations. Furthermore, essential hypertension may mimic the condition of PA and there needs to be differentiation between the two. This study aimed to assess the association between percentage of body fat and PA. Methods A cross-sectional study was conducted in the outpatient department of the Endocrine and Metabolism Unit of the tertiary care medical center in Thailand. Data was obtained from 79 patients who had been screened for PA due to hypertension in young-onset, hypokalemia, adrenal incidentaloma or resistance hypertension. Essential hypertension was defined as patients who had high blood pressure and were negative for PA screening. Body fat percentage was assessed by bioelectrical impedance analysis. The relationship between percentage of body fat and a diagnosis of PA was assessed using logistic regression analysis, including adjustment for confounding factors. Results The participants were divided into a PA group (n = 41) and an essential hypertension group (n = 38). After controlling for confounding variables (age, sex, body mass index, cholesterol and insulin resistance status), the odds ratio of having PA in males with a percentage of body fat > 25% and females with percentage > 30% was 1.82 (95%CI = 1.79–1.86, p < 0.001). Conclusion A higher percentage of body fat is associated with an increased risk of PA. Further studies need to be conducted to confirm the relationship between body fat percentage and PA.

scholarly journals The Influence of Tobacco Use on Pulmonary Function in Elite Athletes

2019 ◽  
Vol 16 (19) ◽  
pp. 3515
Author(s):  
Šaranović ◽  
Vićić ◽  
Pešić ◽  
Tomović ◽  
Batinić ◽  
...  
Keyword(s):  
Pulmonary Function ◽  
Body Fat ◽  
Elite Athletes ◽  
Cross Sectional Study ◽  
International Level ◽  
Sectional Study ◽  
Cross Sectional ◽  
Percentage Of Body Fat ◽  
Significant Difference ◽  
Former Smokers

Objective: We sought to investigate the prevalence of smoking and lung function in the large cohort of elite athletes. Methods: This cross-sectional study included 804 athletes competing at international level who were consecutively examined from January to December 2017. Elite athletes were classified in four groups of sport disciplines (skill, power, endurance and mixed): skill (n = 141), power (n = 107), endurance (n = 105) and mixed sport disciplines (n = 451). All participants underwent pre-participation screening, including spirometry. Results: Study included 745 (92.7%) non-smokers, 20 (2.5%) former smokers and 39 (4.8%) active smokers. The percentage of body fat was higher and the percentage of muscle was lower in active smokers than in non-smokers and former smokers. Active smokers were more prevalent among skill and mixed than in power and endurance sports. FEV1 and FVC, as well as FEV1/FVC ratio, were significantly lower in active smokers than in non-smokers. There was no significant difference in PEF assessed in absolute values and in percentages. Forced expiratory flows, evaluated at the usual intervals (25%, 50% and 75% of FVC), were significantly lower in active smokers than in non-smokers. FEV1 and MEF25 were the lowest among active smokers in the skill sport group, whereas FEV1/FVC, MEF50 and MEF25 were the lowest among active smokers in the power sport group. In mixed and endurance disciplines there was no difference in pulmonary function between non-smokers, former smokers and active smokers. Conclusion: Pulmonary function was reduced in active smokers and these differences were the most prominent in skill and power sports. The percentage of body fat was the highest and percentage of muscle was the lowest in active smokers.

scholarly journals Associations between exposure to perfluoroalkyl substances and body fat evaluated by DXA and MRI in 109 adolescent boys

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mathilde Lolk Thomsen ◽  
Louise Scheutz Henriksen ◽  
Jeanette Tinggaard ◽  
Flemming Nielsen ◽  
Tina Kold Jensen ◽  
...  
Keyword(s):  
Body Fat ◽  
Study Design ◽  
Sulfonic Acid ◽  
Standard Deviation Score ◽  
Cross Sectional Study ◽  
Mass Spectrometry Data ◽  
Perfluoroalkyl Substances ◽  
Sectional Study ◽  
Cross Sectional ◽  
Total Body

Abstract Background Exposure to perfluoroalkyl substances (PFASs) has been associated with changes in body mass index and adiposity, but evidence is inconsistent as study design, population age, follow-up periods and exposure levels vary between studies. We investigated associations between PFAS exposure and body fat in a cross-sectional study of healthy boys. Methods In 109 boys (10–14 years old), magnetic resonance imaging and dual-energy X-ray absorptiometry were performed to evaluate abdominal, visceral fat, total body, android, gynoid, android/gynoid ratio, and total fat percentage standard deviation score. Serum was analysed for perfluorooctanoic acid, perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid, perfluorononanoic acid, and perfluorodecanoic acid using liquid chromatography and triple quadrupole mass spectrometry. Data were analysed by multivariate linear regression. Results Serum concentrations of PFASs were low. Generally, no clear associations between PFAS exposure and body fat measures were found; however, PFOS was negatively associated with abdominal fat (β = -0.18, P = 0.046), android fat (β = -0.34, P = 0.022), android/gynoid ratio (β = -0.21, P = 0.004), as well as total body fat (β = -0.21, P = 0.079) when adjusting for Tanner stage. Conclusions Overall, we found no consistent associations between PFAS exposure and body fat. This could be due to our cross-sectional study design. Furthermore, we assessed PFAS exposure in adolescence and not in utero, which is considered a more vulnerable time window of exposure.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

scholarly journals Diagnostic accuracy of anthropometric indices in predicting excess body fat among seven to ten-year-old children

2014 ◽  
Vol 17 (1) ◽  
pp. 243-254 ◽  
Author(s):  
Edineia Aparecida Gomes Ribeiro ◽  
Danielle Biazzi Leal ◽  
Maria Alice Altenburg de Assis
Keyword(s):  
Diagnostic Accuracy ◽  
Body Fat ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
The Body ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Standardized Residuals ◽  
Highly Sensitive ◽  
Anthropometric Index

PURPOSE: To evaluate the accuracy of the body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR) in detecting excess body fat among schoolchildren in Florianópolis, Santa Catarina. METHODS: Cross-sectional study with 2,772 schoolchildren aged seven to ten years. Receiver Operating Characteristic (ROC) curves were used to compare the diagnostic accuracy of the BMI, the WC and the WHtR in identifying children with excess body fat (defined as values that were equal to or higher than the 90th percentile of the standardized residuals obtained from the sum of the four skinfolds thickness). Likelihood ratio estimates were used to select, for each anthropometric index, the cut-off points that presented the highest association with excess body fat. RESULTS: The BMI, WC and WHtR performed well in detecting excess body fat, indicated by areas under the ROC curve (AUC) close to 1.0, with slightly higher AUC for the BMI in comparison to the WC and the WHtR concerning both sexes. Highly sensitive and specific cut-off points were derived for the three anthropometric indices. Sensitivity ranged from 85.7 to 92.9% for the BMI, from 78.6 to 89.7% for the WC, and from 78.6 to 89.2% for the WHtR. Specificity ranged from 83.2 to 91.4%, from 75.0 to 90.7%, and from 77.4 to 88.3% for the BMI, the WC and the WHtR, respectively. CONCLUSION: BMI, WC and WHtR can be used as diagnostic tests to identify excess body fat in children from seven to ten years of age.

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