scholarly journals Concurrent validity of five prediction equations to evaluate fat percentage in a sports group expected to yield high performance from Medellín, Colombia

Biomédica ◽  
2021 ◽  
Vol 41 (1) ◽  
pp. 131-144
Author(s):  
Ana Lucía López ◽  
Juan David Vélez ◽  
Angélica María García ◽  
Elkin Fernando Arango
Keyword(s):  
Concurrent Validity ◽  
High Performance ◽  
Intraclass Correlation ◽  
The Body ◽  
Secondary Source ◽  
Prediction Equations ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Average Bias ◽  
The Individual

Introduction: No equations to predict the body composition of athletes from Medellín expected to have high performance have been constructed and, thus, decisions regarding their training and nutrition plans lack support.Objective: To calculate the concurrent validity of five prediction equations for fat percentage in a group of athletes from Medellín, Colombia, expected to yield high performance.Materials and methods: We conducted a cross-sectional analysis to validate diagnostic tests using secondary-source data of athletes under the age of 18 who were part of the “Medellín Team”. The gold standard was dual-energy X-ray densitometry (DEXA). We analyzed the Slaughter, Durnin and Rahaman, Lohman, and Johnston prediction equations, as well as the five-component model. We used the intraclass correlation coefficient to assess the consistency of the methods and the Bland-Altman plot to calculate the average bias and agreement limits of each of the equations.Results: We included 101 athletes (50,5 % of them women). The median age was 14,8 years (IR: 13,0 - 16,0). The concurrent validity was “good/excellent” for the Johnston and the Durnin and Rahaman equations and the five-components model. The Lohman equation overestimated the fat percentage in 12,7 points. All of the equations showed broad agreement limits.Conclusions: The Durnin and Rahaman and the Johnston equations, as well as the fivecomponent model, can be used to predict the FP in the study population as they showed a “good/excellent” concurrent validity and a low average bias. The equations analyzed have low accuracy, which hinders their use to diagnose the individual fat percentage within this population.

Public service motivation and willingness to collaborate

2014 ◽  
Vol 2 (1) ◽  
pp. 80-95 ◽  
Author(s):  
Heather Getha-Taylor ◽  
Alexa Haddock-Bigwarfe
Keyword(s):  
Homeland Security ◽  
Public Service ◽  
Public Service Motivation ◽  
The Body ◽  
Organizational Level ◽  
Cross Sectional ◽  
Content Type ◽  
Individual Level ◽  
Original Survey ◽  
The Individual

Purpose – The purpose of this paper is to examine public service motivation (PSM) and the connection with collaborative attitudes among a sample of homeland security actors representing the public, private, and nonprofit sectors. Design/methodology/approach – This study examines relationships between measures of PSM and collaboration using original survey data and hierarchical multiple regression. Findings – Findings reveal strong positive relationships between PSM measures and attitudes toward collaboration at the individual and organizational level. Research limitations/implications – Survey results are cross-sectional and are from respondents participating in a single state's homeland security summit. Practical implications – It is expected that results can be used to enhance collaboration at the individual and organizational levels. At the organizational level, results can be used for matching individuals with collaborative opportunities. At the individual level, results can be used for enhanced self-reflection and effectiveness purposes. Originality/value – This study provides insights on the relationship between PSM measures and collaborative attitudes. The research contributes to the body of scholarly work connecting PSM and correlates of interest.

scholarly journals Equation Córdoba: A Simplified Method for Estimation of Body Fat (ECORE-BF)

2019 ◽  
Vol 16 (22) ◽  
pp. 4529 ◽  
Author(s):  
Molina-Luque ◽  
Romero-Saldaña ◽  
Álvarez-Fernández ◽  
Bennasar-Veny ◽  
Álvarez-López ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Intraclass Correlation Coefficient ◽  
Body Fat ◽  
Intraclass Correlation ◽  
The Body ◽  
Second Phase ◽  
Fat Percentage ◽  
Daily Work ◽  
Two Phases ◽  
New Equation

Background: Many methods for measuring body fat have been developed, but applications in clinical settings are limited. For this reason, researchers have tried to identify different formulas for its estimation but most of are hard to incorporate into daily work due to the variability in population and difficulty of use. The aim of this study was to develop and validate a new equation for the simplified estimation of body fat using the Clínica Universidad de Navarra – Body Adiposity Estimator (CUN-BAE) as a reference. Methods: This research was conducted in two phases. In the first, the new body fat estimation equation was developed. The developed equation was validated in the second phase. Pearson’s linear correlation, raw and adjusted linear regressions, the intraclass correlation coefficient, and Bland–Altman graphs were used. Results: The variables that best adjusted the body fat percentage were age, sex, and the Napierian logarithm of Body Mass Index (LnBMI), forming the Equation Córdoba for Estimation of Body Fat (ECORE-BF) model. In its validation, the model presented correlation values of 0.994, an intraclass correlation coefficient of 0.960, with the Bland–Altman graph indicating means differences of 1.82 with respect to the estimation with the CUN-BAE. Nevertheless, although the aim was to simplify the CUN-BAE, the main limitation of this study is that a gold standard, such as air displacement plethysmography (ADP) or dual-energy X-ray absorptiometry (DXA), was not used. Conclusions: The proposed equation (ECORE-BF) simplified the CUN-BAE and provided a precise method, respecting the principle of parsimony, for the calculation of body fat.

scholarly journals Psychometric Properties of the Polish Version of Task and Ego Orientation in Sport Questionnaire (TEOSQ)

2020 ◽  
Vol 17 (10) ◽  
pp. 3593 ◽  
Author(s):  
Maciej Tomczak ◽  
Małgorzata Walczak ◽  
Paweł Kleka ◽  
Aleksandra Walczak ◽  
Łukasz Bojkowski
Keyword(s):  
Psychometric Properties ◽  
High Performance ◽  
Factor Model ◽  
Intraclass Correlation ◽  
Reliability And Validity ◽  
Task Orientation ◽  
Correlated Errors ◽  
Polish Version ◽  
Ego Orientation ◽  
The Individual

The main aim of the study was to assess the psychometric properties of the Polish version of the task and ego orientation in sport questionnaire (TEOSQ). The study covered 651 athletes aged 19.2 years, SD (Standard deviation) = 2.21. The task and ego orientation in sport questionnaire (TEOSQ) and sport motivation scale (SMS-28) were used. Cronbach’s Alpha for the ego subscale was 0.84, and for the task subscale 0.81 (McDonald’s omega was 0.84, 0.82 respectively). The reliability of the test-retest with two weeks interval was ICC (Intraclass correlation coefficient) = 0.86 for ego and ICC = 0.86 for task. Initially, the two-factor model was not fully fitted (CFI (Comparative fit index) = 0.84), however the model with correlated errors for selected test items was well fitted to data (CFI = 0.95). Statistically significant, positive correlations between the task orientation and the intrinsic motivation components were obtained. Additionally, individual athletes had higher scores on the ego factor and lower scores on the task factor than the team athletes. These effects were moderated by the level of participation and occurred among high-performance athletes. Due to satisfactory reliability and validity indicators the Polish version of the task and ego orientation in sport questionnaire (TEOSQ) can be used both for scientific research and in the individual diagnostics of athletes.

scholarly journals Human Milk Oligosaccharide, Phospholipid, and Ganglioside Concentrations in Breast Milk from United Arab Emirates Mothers: Results from the MISC Cohort

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2400 ◽  
Author(s):  
Paul McJarrow ◽  
Hadia Radwan ◽  
Lin Ma ◽  
Alastair K.H. MacGibbon ◽  
Mona Hashim ◽  
...  
Keyword(s):  
Breast Milk ◽  
Human Milk ◽  
United Arab Emirates ◽  
High Performance ◽  
Post Partum ◽  
Human Breast Milk ◽  
Mature Milk ◽  
Cross Sectional ◽  
Significant Difference ◽  
The Individual

Human milk oligosaccharides (HMOs), phospholipids (PLs), and gangliosides (GAs) are components of human breast milk that play important roles in the development of the rapidly growing infant. The differences in these components in human milk from the United Arab Emirates (UAE) were studied in a cross-sectional trial. High-performance liquid chromatography‒mass spectrometry was used to determine HMO, PL, and GA concentrations in transitional (5–15 days) and mature (at 6 months post-partum) breast milk of mothers of the United Arab Emirates (UAE). The results showed that the average HMO (12 species), PL (7 species), and GA (2 species) concentrations quantified in the UAE mothers’ transitional milk samples were (in mg/L) 8204 ± 2389, 269 ± 89, and 21.18 ± 11.46, respectively, while in mature milk, the respective concentrations were (in mg/L) 3905 ± 1466, 220 ± 85, and 20.18 ± 9.75. The individual HMO concentrations measured in this study were all significantly higher in transitional milk than in mature milk, except for 3 fucosyllactose, which was higher in mature milk. In this study, secretor and non-secretor phenotype mothers showed no significant difference in the total HMO concentration. For the PL and GA components, changes in the individual PL and GA species distribution was observed between transitional milk and mature milk. However, the changes were within the ranges found in human milk from other regions.

scholarly journals Association between glomerular filtration rate (measured by high-performance liquid chromatography with iohexol) and plasma oxalate

2018 ◽  
Vol 40 (1) ◽  
pp. 73-76 ◽  
Author(s):  
Luciano da Silva Selistre ◽  
Pierre Cochat ◽  
Dener lizot Rech ◽  
François Parant ◽  
Vandréa Carla de Souza ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
High Performance ◽  
Filtration Rate ◽  
Case Series ◽  
Primary Hyperoxaluria ◽  
The Body ◽  
Cross Sectional ◽  
Sectional Analysis ◽  
Transplanted Kidneys

ABSTRACT Introduction: Secondary hyperoxalemia is a multifactorial disease that affects several organs and tissues in patients with native or transplanted kidneys. Plasma oxalate may increase during renal failure because it is cleared from the body by the kidneys. However, there is scarce evidence about the association between glomerular filtration rate and plasma oxalate, especially in the early stages of chronic kidney disease (CKD). Methods: A case series focuses on the description of variations in clinical presentation. A pilot study was conducted using a cross-sectional analysis with 72 subjects. The glomerular filtration rate (GFR) and plasma oxalate levels were measured for all patients. Results: Median (IQR) GFR was 70.50 [39.0; 91.0] mL/min/1.73 m2. Plasma oxalate was < 5.0 µmol/L in all patients with a GFR > 30 mL/min/1.73m2. Among the 14 patients with severe CKD (GFR < 30 mL/min/1.73 m2) only 4 patients showed a slightly increased plasma oxalate level (between 6 and 12 µmol/L). Conclusion: In non-primary hyperoxaluria, plasma oxalate concentration increases when GFR < 30mL/min/1.73 m2 and, in our opinion, values greater than 5 µmol/L with a GFR > 30 mL/min/1.73 m2 are suggestive of primary hyperoxaluria. Further studies are necessary to confirm plasma oxalate increase in patients with low GFR levels (< 30mL/min/1.73 m2).

scholarly journals Correlation between carbohydrate intake and dental caries in obese individuals

2021 ◽  
Vol 54 (1) ◽  
pp. 46
Author(s):  
Ignatius Setiawan ◽  
Ananda Sagita ◽  
Ibnu Suryatmojo ◽  
Dewi Marhaeni Diah Herawati ◽  
Irna Sufiawati ◽  
...  
Keyword(s):  
Dental Caries ◽  
Statistical Tests ◽  
Daily Intake ◽  
Sampling Technique ◽  
The Body ◽  
Carbohydrate Intake ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Significance Level ◽  
Positive Correlation

Background: Nowadays, obesity is one of the biggest public health problems. Obesity is an excessive accumulation of fat that can occur when fat-producing foods, such as carbohydrates or sugar, are over-consumed. Sucrose is a type of carbohydrate contained in food and is a medium for bacterial growth. Therefore, the consumption of sucrose can increase the risk of dental caries. Purpose: This study aims to analyse the correlation between carbohydrate intake and dental caries in obese individuals. Methods: This study was an observational analytic study with a cross-sectional design. In this study, 50 participants aged 18–40 were selected from an obese community in Jakarta using a quota sampling technique. The carbohydrate intake was assessed using the food frequency questionnaire (FFQ), the body fat percentage was measured with the bioelectrical impedance analysis method, and the dental caries index was assessed using the decayed, missing and filled teeth (DMF-T) index. The data obtained were tested with a simple linear regression statistical test at a significance level of 5%. Results: The results showed that the average carbohydrate daily intake value of obese individuals was 1209.84 g, while the average value of the DMF-T index for obese individuals was 7.98. The results of the statistical tests revealed that there was a strong and positive correlation between carbohydrate intake and the DMF-T index. The effect of carbohydrate intake on the DMF-T index was 50.98%. Conclusion: A positive correlation means that the larger the carbohydrate intake, the higher the DMF-T index. Hence, controlling carbohydrate intake can prevent dental caries.

scholarly journals Korelasi Usia Metabolik terhadap Indeks Massa Tubuh

2020 ◽  
Vol 5 (2) ◽  
pp. 35-41
Author(s):  
Ni Nyoman Sri Yuliani ◽  
Elsa Trinovita
Keyword(s):  
Body Mass Index ◽  
Metabolic Rate ◽  
Sampling Method ◽  
Cross Sectional Study ◽  
The Body ◽  
Sectional Study ◽  
Cross Sectional ◽  
Male And Female ◽  
Metabolic Age ◽  
The Individual

Excessive fat accumulation in the body causes an increase in Body Mass Index (BMI). Increased BMI and comorbidities affect the metabolic rate. Metabolic age was influenced by the individual metabolic rate. The purpose of this study was to determine the description of metabolic age to BMI increasement. This cross-sectional study used a purposive sampling method to obtain 82 male and female subjects. Subjects were measured for BMI and metabolic age. Collected data was analyzed univariately and bivariate correlatively. The result showed a significant correlation between metabolic age and BMI (p = 0,001) with r = 0,812. The conclusion of this study is the increase in BMI, the higher the metabolic age.

scholarly journals Korelasi persentase lemak tubuh dengan kadar adipsin pada premenopause

2018 ◽  
Vol 14 (3) ◽  
pp. 99
Author(s):  
Rahmani Welan ◽  
Gusti Revilla ◽  
Desmawati Desmawati
Keyword(s):  
Body Fat ◽  
Venous Blood ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Enzyme Linked Immunosorbent Assay ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
The Mean

Background: One of the conditions on premenopausal period is the increase in body fat, among which are caused by levels of the fluctuating estrogen hormone. Increase fat affects the body fat percentage and adipsin levels. Adipsin plays a role in the stimulation of insulin secretion by producing C3a, in which C3AR1 (C3a Receptor 1) fragments interact with beta cells to secrete insulin.Objective: The purpose of this study is to determine correlation of body fat percentage with adipsin levels on premenopause.Design: This was an analytical study with cross-sectional design. Body fat percentage was obtained by examination using Bioelectrical Impedance Analysis (BIA). Venous blood was taken at the mediana cubiti area used for serum adipsin levels. Adipsin levels were analyzed by Enzyme-linked Immunosorbent Assay (ELISA) technique.Results: The mean of body fat percentage on premenopausal was 36,18 ± 8,35%. The mean of adipsin levels on premenopausal was 117,05 ± 87,93 ng/ml. Result of Pearson test analysis got value r = 0,632 and value p = 0.0005 (p <0,05).Conclusions: There is a positive significant correlation between the percentage of body fat with adipsin levels on premenopause.

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