scholarly journals Liver-Metabolizing Genes and Their Relationship to the Performance of Elite Spanish Male Endurance Athletes; a Prospective Transversal Study

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
David Varillas Delgado ◽  
Juan José Tellería Orriols ◽  
Carlos Martín Saborido
Keyword(s):  
Binary Logistic Regression ◽  
Endurance Performance ◽  
Endurance Athletes ◽  
Genetic Profile ◽  
Glutathione S Transferase ◽  
Binary Logistic Regression Model ◽  
Genotypic Distribution ◽  
Endurance Runner ◽  
Cytochrome P450 Family ◽  
First Time

Abstract Background The genetic profile that is needed to define an endurance athlete has been studied during recent years. The main objective of this work is to approach for the first time the study of genetic variants in liver-metabolizing genes and their role in endurance performance by comparing the allelic and genotypic frequencies in elite endurance athletes to the non-athlete population. Methods Genotypic and allelic frequencies were determined in 123 elite endurance athletes (75 professional road cyclists and 48 endurance elite runners) and 122 male non-athlete subjects (sedentary). Genotyping of cytochrome P450 family 2 subfamily D member 6 (CYP2D6 rs3892097), glutathione-S transferase mu isoform 1 (GSTM1), glutathione S-transferase pi (GSTP rs1695) and glutathione S-transferase theta (GSTT) genes was performed by polymerase chain reaction (PCR). The combination of the polymorphisms for the “optimal” polygenic profile has been quantified using the genotype score (GS). Results Statistical differences were found in the genetic distributions between elite endurance athletes and non-athletes in CYP2D6 (p < 0.001) and GSTT (p = 0.014) genes. The binary logistic regression model showed a favourable OR (odds ratio) of being an elite endurance runner against a professional road cyclist (OR: 2.403, 95% CI: 1.213–4.760 (p = 0.002)) in the polymorphisms studied. Conclusions Genotypic distribution of liver-metabolizing genes in elite endurance athletes is different to non-athlete subjects, with a favourable gene profile in elite endurance athletes in terms of detoxification capacity.

scholarly journals Genotype scores in energy and iron-metabolising genes are higher in elite endurance athletes than in nonathlete controls

2020 ◽  
Vol 45 (11) ◽  
pp. 1225-1231
Author(s):  
David Varillas Delgado ◽  
Juan José Tellería Orriols ◽  
Diana Monge Martín ◽  
Juan Del Coso
Keyword(s):  
Iron Metabolism ◽  
Binary Logistic Regression ◽  
Endurance Performance ◽  
Energy Generation ◽  
Endurance Athletes ◽  
Binary Logistic Regression Analysis ◽  
Physical Endurance ◽  
Genetic Profile ◽  
Genotypic Distribution ◽  
Genotype Frequencies

Information about the association of energy and iron-metabolising genes with endurance performance is scarce. The objective of this investigation was to compare the frequencies of polymorphic variations of genes involved in energy generation and iron metabolism in elite endurance athletes versus nonathlete controls. Genotype frequencies in 123 male elite endurance athletes (75 professional road cyclists and 48 elite endurance runners) and 122 male nonathlete participants were compared by assessing 4 genetic polymorphisms: AMPD1 c.34C/T (rs17602729), PPARGC1A c.1444G/A (rs8192678) HFEH63D c.187C/G (rs1799945) and HFEC282Y c.845G/A (rs1800562). A weighted genotype score (w-TGS; from 0 to 100 arbitrary units (a.u.)) was calculated by assigning a corresponding weight to each polymorphism. In the nonathlete population, the mean w-TGS value was lower (39.962 ± 14.654 a.u.) than in the group of elite endurance athletes (53.344 ± 17.053 a.u). The binary logistic regression analysis showed that participants with a w-TGS > 38.975 a.u had an odds ratio of 1.481 (95% confidence interval: 1.244–1.762; p < 0.001) for achieving elite athlete status. The genotypic distribution of polymorphic variations involved in energy generation and iron metabolism was different in elite endurance athletes vs. controls. Thus, an optimal genetic profile in these genes might contribute to physical endurance in athlete status. Novelty Genetic profile in energy generation and iron-metabolising genes in elite endurance athletes is different than that of nonathletes. There is an implication of an “optimal” genetic profile in the selected genes favouring endurance sporting performance.

scholarly journals Herpesvirus type 7 infection may play an important role in individuals with a genetic profile of susceptibility to Graves' disease

2010 ◽  
Vol 162 (2) ◽  
pp. 315-321 ◽  
Author(s):  
Janaina Luisa Leite ◽  
Natassia Elena Bufalo ◽  
Roberto Bernardo Santos ◽  
João Hamilton Romaldini ◽  
Laura Sterian Ward
Keyword(s):  
Bacterial Infections ◽  
Significant Risk ◽  
Function Evaluation ◽  
Graves Disease ◽  
Genetic Profile ◽  
Glutathione S Transferase ◽  
Herpesvirus Type ◽  
History Of ◽  
Cytochrome P450 Family ◽  
Design And Methods

ObjectiveAn inherited profile of genes related to the response to aggressive environmental factors such as viruses and chemicals may be related to an increased susceptibility to Graves' disease (GD).Design and methodsThis prospective case–control study was designed to examine the relationship between human herpesviruses (HHV) infection, determined by circulating DNA; tumour protein p53 (TP53) apoptotic ability; and detoxification system genes, and GD. We studied 280 confirmed GD patients paired to 284 controls with respect to environmental exposure. Exclusion criteria included medications that could interfere with thyroid function evaluation and a recent history of viral and bacterial infections.ResultsA stepwise regression analysis adjusted for age, gender, and ethnicity established the inheritance of glutathione S-transferase pi 1 (GSTP1) (odds ratio (OR)=3.423; 95% confidence interval (CI)=2.120–5.527; P<0.001) and cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) variants (OR=1.649; 95% CI=1.012–2.686; P=0.0445) as significant risk factors for the disease. HHV-7 infection was much more common in GD patients (64.64%) than in controls (38.73%; χ2, P<0.0001), and it increased the risk for GD more than three times (OR=3.133; 95% CI=1.959–5.011; P<0.0001). The inheritance of less efficient Pro/Pro TP53 gene variants significantly increased the risk of GD development (OR=5.196; 95% CI=2.112–12.783; P<0.0001) and also favored HHV-7 infection (OR=2.835; 95% CI=1.100–7.310; P=0.0275). In addition, 72TP53 variants augmented the risk of GD relapse (OR=1.860; 95% CI=1.015–3.410; P=0.0446).ConclusionsWe suggest that an inherited genetic profile involving TP53 may favor HHV-7 infection and maintenance, which, in turn, may initiate and perpetuate GD autoimmune process.

scholarly journals Genetic Profile in Genes Associated with Cardiorespiratory Fitness in Elite Spanish Male Endurance Athletes

Genes ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1230
Author(s):  
David Varillas-Delgado ◽  
Juan José Tellería Orriols ◽  
Juan Del Coso
Keyword(s):  
Polymerase Chain Reaction ◽  
Target Genes ◽  
Endurance Performance ◽  
Complex Trait ◽  
Endurance Athletes ◽  
Genetic Profile ◽  
Chain Reaction ◽  
Genotype Score ◽  
The Mean ◽  
Polymerase Chain

Background: most of the research concerning the influence of genetics on endurance performance has been carried out by investigating target genes separately. However, endurance performance is a complex trait that can stem from the interaction of several genes. The objective of this study was to compare the frequencies of polymorphisms in target genes involving cardiorespiratory functioning in elite endurance athletes vs. non-athlete controls. Methods: genotypic frequencies were determined in 123 elite endurance athletes and in 122 non-athletes. Genotyping of ACE (rs4340), NOS3 (rs2070744 and rs1799983), ADRA2a (rs1800544 and rs553668), ADRB2 (rs1042713 and rs1042714), and BDKRB2 (rs5810761) was performed by polymerase chain reaction. The total genotype score (TGS: from 0 to 100 arbitrary units; a.u.) was calculated from the genotype score in each polymorphism. Results: the mean TGS in non-athletes (47.72 ± 11.29 a.u.) was similar to elite endurance athletes (46.54 ± 11.32 a.u., p = 0.415). The distribution of TGS frequencies were also similar in non-athletes and elite endurance athletes (p = 0.333). There was no TGS cut-off point to discriminate being elite endurance athletes. Conclusions: the genetic profile in the selected genes was similar in elite endurance athletes and in controls, suggesting that the combination of these genes does not determine endurance performance.

scholarly journals Factors for the Quality of the Brazilian Car Rental Service

2021 ◽  
pp. 216-226
Author(s):  
Gessica Mina Kim Jesus ◽  
Gladys Dorotea Cacsire Barriga
Keyword(s):  
Logistic Regression ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Car Rental ◽  
Main Factors ◽  
First Time ◽  
Tourist Information

The purpose of this study is to identify the main factors that influence the quality of the car rental service in Brazil, from the perspective of customers. It is the first time that the main factors for the quality of the car rental service have been investigated considering the perspective of Brazilian customers. We adopted a survey based on a questionnaire. The results were analyzed using the binary logistic regression model. The main factors for the quality were: the company offers local maps and tourist information along with the car (odds ratio = 1.56); the company has cars adapted for people with special needs (odds ratio = 1.39); the company supplies cars with a choice of steering (odds ratio = 1.568); the company has employees that are well dressed and look good (odds ratio = 1.58); the company makes all tools and documents available (odds ratio = 1.75); and the company offers compensation if inconveniences arise for customers (odds ratio = 1.51). This study shows how companies can direct their efforts to reduce complaints and improve the satisfaction and quality of the car rental service in Brazil.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

Prevalence of facemask use among general public when visiting wet market during Covid-19 pandemic: An observational study. (Preprint)

2020 ◽  
Author(s):  
Gobi Hariyanayagam ◽  
Sera Selvanthan Sundram Gunasekaran ◽  
Shargunan Selvanthan Gunasekaran ◽  
Nur Syafina Insyirah Zaimi ◽  
Nor Amirah Abdul Halim
Keyword(s):  
High Risk ◽  
General Population ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
High Risk Population ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Hygiene Measures ◽  
Wet Market ◽  
Medical Grade

BACKGROUND In late December 2019, an outbreak of a novel coronavirus disease (COVID-19; previously known as 2019-nCoV) was epidemiologically linked to seafood and wet animal market in Wuhan, Hubei, China. This event has instigated negative stigma among the general population to view the wet market as a high-risk location for potential transmission of coronavirus. OBJECTIVE This study investigated the prevalence of facemask use among general population visiting the wet market as well as factors contributing to unacceptable facemask practice. Setting The visitors to a district wet market selling range of live or freshly slaughtered animals during COVID-19 pandemic outbreak was observed for facemask practice. METHODS All Individuals visiting the market were observed for the type, category and practice of wearing facemas. Subjects were categorized into two groups of acceptable and unacceptable facemask practice. The Pearson chi-square was used to test for differences in investigated variables in the univariate setting and Binary Logistic regression model was used in the multivariate setting. Main outcome measure Prevalence, acceptance practice and odds ratio of unacceptance of facemask use. RESULTS Among 1697 individuals included in the final analysis, 1687 (99.7%) was observed wearing facemask with 1338 (78.8%) using medical-grade facemask. Among them, 1615 (95.7%) individuals facemask practice was acceptable while the reaming 72 (4.3%) individuals were observed with unacceptable facemask practice. Individuals using medical-grade facemask and high-risk age group are 6.4 times (OR=6.40; 95% CI, 2.00-20.43; p=.002) and 2.06 times practice (OR=2.06; 95% CI, 1.08-3.94; p=.028) more likely to have unacceptable facemask practice respectively. CONCLUSIONS High saturation of facemask among the general population is an adequate indicator of public hygiene measures strategy which can help to mitigate the COVID-19 epidemic impact. Alarmingly, the unacceptable facemask practice among high-risk population raises the need for a targeted approach by healthcare authorities to ensure satisfactory facemask use.

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

Predictive Factors for Patients’ Failure to Show for Initial Outpatient Physical Therapist Evaluation

2021 ◽  
Author(s):  
Matthew Briggs ◽  
Christine Ulses ◽  
Lucas VanEtten ◽  
Cody Mansfield ◽  
Anthony Ganim ◽  
...  
Keyword(s):  
Predictive Factors ◽  
Employment Status ◽  
Physical Therapist ◽  
Demographic Data ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
Outpatient Setting ◽  
Binary Logistic Regression Model ◽  
Number Of Patients ◽  
Payer Source

Abstract Objective The objective of this study was to xamine primary factors which may predict patients’ failure to show at initial physical therapist evaluation in an orthopedic and sports outpatient setting. Methods A retrospective analysis of patients’ demographic data for physical therapist evaluations between January 2013 and April 2015 was performed. A binary logistic regression model was used to evaluate the odds of a no-show at evaluation. Demographic variables of age, employment status, days waited for the appointment, payer source, and distance traveled to clinic were analyzed. Independent variables were considered significant if the 95% Cis of the odds ratios did not include 1.0. Results A total of 6971 patients were included in the final analysis with 10% (n = 698) of the scheduled patients having a no-show event for their initial evaluation. The following factors increased the odds of patients having a no-show event: days to appointment (OR = 1.058; 95% CI = 1.042 to 1.074), unemployment status (OR = 1.96; 95% CI = 1.41 to 2.73), unknown employment status (OR = 3.22; 95% CI = 1.12 to 8.69), Medicaid insurance (OR = 4.87; 95% CI = 3.43 to 6.93), Medicare insurance (OR = 2.22; 95% CI = 1.10 to 4.49), unknown payer source (OR = 262.84; 95% CI = 188.72 to 366.08), and distance traveled ≥5 miles (OR = 1.31; 95% CI = 1.01 to 1.70). Female sex [OR = 0.73; 95% CI = 0.57 to 0.95) and age ≥ 40 years (OR = 0.44; 95% CI = 0.33 to 0.60) decreased the odds of a no-show event. Conclusion Results from this study indicate there may be some demographic factors that are predictive of patients failing to attend their first physical therapist visit. Impact Understanding the predictive factors and identifying potential opportunities for improvements in scheduling processes might help decrease the number of patients failing to show for their initial physical therapy appointment, with the ultimate goal of positively influencing patient outcomes.

scholarly journals Efficacy of Popular Diets Applied by Endurance Athletes on Sports Performance: Beneficial or Detrimental? A Narrative Review

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 491
Author(s):  
Aslı Devrim-Lanpir ◽  
Lee Hill ◽  
Beat Knechtle
Keyword(s):  
Gastrointestinal Symptoms ◽  
Endurance Performance ◽  
Endurance Athletes ◽  
Intermittent Fasting ◽  
Nutritional Strategy ◽  
Current Perspective ◽  
Vegetarian Diets ◽  
Fat Diets ◽  
The Impact ◽  
Harsh Conditions

Endurance athletes need a regular and well-detailed nutrition program in order to fill their energy stores before training/racing, to provide nutritional support that will allow them to endure the harsh conditions during training/race, and to provide effective recovery after training/racing. Since exercise-related gastrointestinal symptoms can significantly affect performance, they also need to develop strategies to address these issues. All these factors force endurance athletes to constantly seek a better nutritional strategy. Therefore, several new dietary approaches have gained interest among endurance athletes in recent decades. This review provides a current perspective to five popular diet approaches: (a) vegetarian diets, (b) high-fat diets, (c) intermittent fasting diets, (d) gluten-free diet, and (e) low fermentable oligosaccharides, disaccharides, monosaccharides and polyols (FODMAP) diets. We reviewed scientific studies published from 1983 to January 2021 investigating the impact of these popular diets on the endurance performance and health aspects of endurance athletes. We also discuss all the beneficial and harmful aspects of these diets, and offer key suggestions for endurance athletes to consider when following these diets.

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