Moral Disengagement, Social Norms, and Motivational Profiles Influence Attitudes Toward Doping Among Spanish Athletics Coaches

Coaches strongly influence athletes' attitudes toward doping and can shape athlete's beliefs, behaviors, and decisions to be for or against doping. Coached-centered studies examining multiple factors affecting coaches' doping attitudes and behavior are scarce. The aim of this study was to analyze for the first-time attitudes toward doping in athletics coaches using the Sport Drug Control Model (SDCM) as a theoretical framework. A secondary aim was to determine the factors in the model predicting attitude and susceptibility toward doping. A cross-sectional study was carried out using a sample consisting of 201 Spanish athletics competitive level coaches from whom 11.4% were female. Participants completed a cross-sectional online survey. Structural equation modeling showed a good fitness of the SDCM. Positive attitudes toward doping predicted high susceptibility to doping (β = 0.39, p < 0.001). Moral disengagement (β = 0.58, p < 0.001), descriptive norms (β = 0.42, p = 0.001), ego-oriented goals (β = 0.34, p < 0.05), and self-efficacy to refrain from doping (β = 0.26, p < 0.05) displayed a significant influence on attitudes toward doping. Self-reported doping prevalence in coaches was 4.5%. These variables should be considered when designing anti-doping research projects and educational programs aiming at modifying coaches' attitudes toward doping. It is recommended to focus more efforts on coaches, without putting aside the athletes, and therefore turn coaches into reliable doping prevention factors. To this end, it is necessary to enhance scientific research and then develop, implement, and promote more educational programs targeting coaches, on a mandatory basis while covering the specific needs of coaches so that they can perform their role as anti-doping educators in an effective, committed, and proactive manner

Health education in primary school: Alicante city (Spain) teachers’ opinions

Objetivo: Explorar la opinión del profesorado de educación primaria de la ciudad de Alicante sobre las actividades de salud realizadas en la escuela. Método: Estudio exploratorio mediante análisis de contenido cualitativo. Se formaron tres grupos de discusión (8-9 participantes) con profesorado de educación primaria (14 mujeres y 11 hombres) procedentes de 14 escuelas públicas y 7 concertadas de la ciudad de Alicante. La información se obtuvo preguntando a los/las participantes sobre las actividades de salud realizadas en el aula o en el centro escolar. Resultados: El profesorado diferenció las actividades que forman parte de las programaciones escolares de educación para la salud de las que proceden de programas de otras instituciones públicas o privadas. Consideró que los programas externos son impuestos, no tienen continuidad y responden a modas pasajeras. Aunque mostró una actitud más favorable y comprometida con las actividades y programaciones escolares, identificó la educación para la salud como una tarea secundaria. En su opinión, incrementar su formación en salud, implicar a los padres y las madres, profesionales sanitarios y la administración educativa fomentaría la educación para la salud en la escuela. Conclusiones: El profesorado muestra una opinión más favorable y un mayor compromiso hacia las actividades de salud que complementan y facilitan su tarea educativa. Su programación docente y opinión deben tenerse en cuenta para maximizar la eficiencia de las actividades de promoción y educación para la salud promovidas por instituciones, compañías y fundaciones externas a la escuela.Objective: This study explores the opinions of primary school teachers about health activities carried out in schools in Alicante city (Spain). Methods: An exploratory study was conducted through qualitative content analysis. Three focus groups were conducted with 25 primary school teachers (14 women and 11 men) working in 14 public and 7 private schools in the city of Alicante. Participants were asked about the health activities carried on in their schools. Results: Teachers distinguished between health education activities promoted by the school and those included in external programmes promoted by public and private institutions. External programmes were considered as impositions, lacking continuity and chosen according to passing fads. Although teachers demonstrated a more positive attitude towards activities arising from their own initiative, they identified health education as a secondary task. Teachers considered that improving their own health education training and promoting the involvement of parents, health professionals and public institutions were the most appropriate ways to promote health education in the school. Conclusion: Teachers showed a more positive opinion and greater commitment towards health activities that complement and facilitate their teaching tasks. Their didactic programme and opinion should be taken into account to maximise the efficiency of the health promotion and education activities promoted by external organisations.Este trabajo ha sido financiado por la Escuela Valenciana de Estudios en Salud (EVES) de la Generalitat Valenciana nº 044/2006

Attitudes toward and susceptibility to doping in spanish elite and national-standard track and field athletes: An examination of the sport drug control model

The Sport Drug Control Model (SDCM) is likely to be the model which most explicitly represents the theoretical paradigm of the psychological study of the use of doping in sport. This model can be further developed through its analysis in different populations and cultures. The main aim of this study was to empirically test the SDCM while analyzing for the first time the intentions and attitudes toward doping in Spanish track and field athletes. A secondary aim was to assess the extent to which the variables in the model together predict attitude, susceptibility, and behavior toward the use of performance-enhancing substances. Participants were 281 Spanish elite and national-standard track and field athletes from whom 80.1% were 18-28 years old and 49.5% were females. Participants completed the SDCM questionnaire measuring morality, legitimacy, benefits appraisal, threat appraisal, self-efficacy to refrain from doping, reference groups’ endorsement of doping methods/substances, use of legal supplements, availability and affordability of doping, attitudes toward doping, susceptibility to doping and, self-reported use of banned performance-enhancing substances or methods. Structural equation modeling supported a good fitness of the SDCM and confirmed that positive attitudes toward doping predicted high susceptibility to doping ( = 0.55, p < 0.001), which is in turn associated with the use of prohibited substances and methods ( = 0.12, p < 0.05). The factors that have most influence on attitudes toward doping are morality ( = 0.46, p < 0.001) and reference group opinion ( =0.62, p <0.001). Self-reported doping use was 9.6%. These findings confirmSDCM reproducibility and variability (as it accounts for several variables) in Spanish track and field competitive athletes. It is recommended to implement preventive programs which allow athletes to acquire a strong moral stance against doping and coaches to employ the tools required to instill and educate their athletes in rejecting these illegal practices that corrupt the integrity of competitive sportThis work was funded by theWorld Anti-Doping Agency, within their Social Science Research Grants program, and Isabel I de Castilla International Universit

An Explanatory Model of Doping Susceptibility Examining Morality in Elite Track and Field Athletes: A Logistic Regression Analysis

The aim of the present study was to develop an explanatory model of doping susceptibility among competitive track and field athletes using a logistic regression analysis accounting for some morality-related variables which were not explored in previous studies. A total of 281 Spanish elite track and field athletes (49.5% women, 48.4% have competed with the national team) completed an online survey measuring different constructs in relation to doping susceptibility. The final model demonstrated that nutritional supplements (OR: 2.39; CI: 1.16–4.90; p < 0.05), moral disengagement (OR: 2.17; CI: 1.48–3.19; p < 0.001), acceptance of gamesmanship (OR: 1.29; CI: 1.12–1.49; p < 0.001), and descriptive norms (OR: 1.21; CI: 1.04–1.41; p < 0.05) are the factors better explaining doping susceptibility. The profile of the athlete at risk of being more susceptible to doping is represented by someone who is aged under 20 years, believes that doping is present in his/her sport, has positive attitudes of acceptance of gamesmanship, is morally disconnected from doping, and frequently consumes nutritional supplements. It is recommended to deliver education related to the use of sports supplements and potential ill-effects of performance-enhancing substances or methods, and to engage athletes in doping prevention programs at an early ag

The role of Artificial Intelligence and Distributed computing in IoT applications

[ES] La serie «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» contiene publicaciones sobre la teoría y aplicaciones de la computación distribuida y la inteligencia artificial en el Internet de las cosas. Prácticamente todas las disciplinas como la ingeniería, las ciencias naturales, la informática y las ciencias de la información, las TIC, la economía, los negocios, el comercio electrónico, el medio ambiente, la salud y las ciencias de la vida están cubiertas. La lista de temas abarca todas las áreas de los sistemas inteligentes modernos y la informática como: inteligencia computacional, soft computing incluyendo redes neuronales, inteligencia social, inteligencia ambiental, sistemas auto-organizados y adaptativos, computación centrada en el ser humano y centrada en el ser humano, sistemas de recomendación, control inteligente, robótica y mecatrónica, incluida la colaboración entre el ser humano y la máquina, paradigmas basados en el conocimiento, paradigmas de aprendizaje, ética de la máquina, análisis inteligente de datos, gestión del conocimiento, agentes inteligentes, toma de decisiones inteligentes y apoyo, seguridad de la red inteligente, gestión de la confianza, entretenimiento interactivo, inteligencia de la Web y multimedia. Las publicaciones en el marco de «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» son principalmente las actas de seminarios, simposios y conferencias. Abarcan importantes novedades recientes en la materia, tanto de naturaleza fundacional como aplicable. Un importante rasgo característico de la serie es el corto tiempo de publicación. Esto permite una rápida y amplia difusión de los resultados de las investigaciones[EN] The series «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» contains publications on the theory and applications of distributed computing and artificial intelligence in the Internet of Things. Virtually all disciplines such as engineering, natural sciences, computer and information sciences, ICT, economics, business, e-commerce, environment, health and life sciences are covered. The list of topics covers all areas of modern intelligent systems and computer science: computational intelligence, soft computing including neural networks, social intelligence, ambient intelligence, self-organising and adaptive systems, human-centred and people-centred computing, recommendation systems, intelligent control, robotics and mechatronics including human-machine collaboration, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, web intelligence, and multimedia. The publications in the framework of «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» are mainly the proceedings of seminars, symposia and conferences. They cover important recent developments in the field, whether of a foundational or applicable character. An important feature of the series is the short publication time. This allows for the rapid and wide dissemination of research results

Diagnostic criteria in proliferative verrucous leukoplakia: evaluation

Objectives: to evaluate the ability of the diagnostic criteria proposed by Cerero et al in 2010 to perform an early diagnose in patients with proliferative verrucous leukoplakia. Study Design: retrospective study with patients diagnosed with leukoplakia at Oral Medicine Service at Oral Medicine and Surgery Department at Dentistry Faculty at Universidad Complutense of Madrid. Results: the criteria were applied in 116 patients, turning positive in 40 cases. Out of these, 24 (60%) had been previously diagnosed with PVL. Most frequent criteria were major criteria A and E, concerning lesion's site and histopathology, and minor criteria b and c, concerning sex and smoking habit. Conclusions: diagnostic criteria developed by Cerero et al can be a useful tool for an early diagnose of PVL, as in 60% of the cases, the criteria would have allowed to make an early diagnose of the disease

Preface

[ES] La serie «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» contiene publicaciones sobre la teoría y aplicaciones de la computación distribuida y la inteligencia artificial en el Internet de las cosas. Prácticamente todas las disciplinas como la ingeniería, las ciencias naturales, la informática y las ciencias de la información, las TIC, la economía, los negocios, el comercio electrónico, el medio ambiente, la salud y las ciencias de la vida están cubiertas. La lista de temas abarca todas las áreas de los sistemas inteligentes modernos y la informática como: inteligencia computacional, soft computing incluyendo redes neuronales, inteligencia social, inteligencia ambiental, sistemas auto-organizados y adaptativos, computación centrada en el ser humano y centrada en el ser humano, sistemas de recomendación, control inteligente, robótica y mecatrónica, incluida la colaboración entre el ser humano y la máquina, paradigmas basados en el conocimiento, paradigmas de aprendizaje, ética de la máquina, análisis inteligente de datos, gestión del conocimiento, agentes inteligentes, toma de decisiones inteligentes y apoyo, seguridad de la red inteligente, gestión de la confianza, entretenimiento interactivo, inteligencia de la Web y multimedia. Las publicaciones en el marco de «El rol de la inteligencia artificial y la computación distribuida en las aplicaciones IoT» son principalmente las actas de seminarios, simposios y conferencias. Abarcan importantes novedades recientes en la materia, tanto de naturaleza fundacional como aplicable. Un importante rasgo característico de la serie es el corto tiempo de publicación. Esto permite una rápida y amplia difusión de los resultados de las investigaciones[EN] The series «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» contains publications on the theory and applications of distributed computing and artificial intelligence in the Internet of Things. Virtually all disciplines such as engineering, natural sciences, computer and information sciences, ICT, economics, business, e-commerce, environment, health and life sciences are covered. The list of topics covers all areas of modern intelligent systems and computer science: computational intelligence, soft computing including neural networks, social intelligence, ambient intelligence, self-organising and adaptive systems, human-centred and people-centred computing, recommendation systems, intelligent control, robotics and mechatronics including human-machine collaboration, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, web intelligence, and multimedia. The publications in the framework of «The Role of Artificial Intelligence and Distributed Computing in IoT Applications» are mainly the proceedings of seminars, symposia and conferences. They cover important recent developments in the field, whether of a foundational or applicable character. An important feature of the series is the short publication time. This allows for the rapid and wide dissemination of research results

Deep Super-SAGE transcriptomic analysis of cold acclimation in lentil (Lens culinaris Medik.)

[EN] Background: Frost is one of the main abiotic stresses limiting plant distribution and crop production. To cope with the stress, plants evolved adaptations known as cold acclimation or chilling tolerance to maximize frost tolerance. Cold acclimation is a progressive acquisition of freezing tolerance by plants subjected to low non-freezing temperatures which subsequently allows them to survive exposure to frost. Lentil is a cool season grain legume that is challenged by winter frost in some areas of its cultivation. Results: To better understand the genetic base of frost tolerance differential gene expression in response to cold acclimation was investigated. Recombinant inbred lines (RILs) from the cross Precoz x WA8649041 were first classified as cold tolerant or cold susceptible according to their response to temperatures between -3 to -15 °C. Then, RILs from both extremes of the response curve were cold acclimated and the leaf transcriptomes of two bulks each of eight frost tolerant and seven cold susceptible RILs were investigated by Deep Super-SAGE transcriptome profiling. Thus, four RNA bulks were analysed: the acclimated susceptible, the acclimated tolerant and the respective controls (non-acclimated susceptible and non-acclimated tolerant). Approximately 16.5 million 26 nucleotide long Super-SAGE tags were sequenced in the four sets (between ~3 and 5.4 millions). In total, 133,077 different unitags, each representing a particular transcript isoform, were identified in these four sets. Tags which showed a significantly different abundance in any of the bulks (fold change ≥4.0 and a significant p-value <0.001) were selected and used to identify the corresponding lentil gene sequence. Three hundred of such lentil sequences were identified. Most of their known homologs coded for glycine-rich, cold and drought-regulated proteins, dormancy-associated proteins, proline-rich proteins (PRPs) and other membrane proteins. These were generally but not exclusively over-expressed in the acclimated tolerant lines. Conclusions: This set of candidate genes implicated in the response to frost in lentil represents an useful base for deeper and more detailed investigations into this important agronomic trait in futureSIThis work was supported by the E.U. ERA-PG 075B LEGRESIST project, the AGL2013-44714-R project from the Spanish Ministerio de Economía y Competitividad (co-financed with FEDER funds), and a predoctoral fellowship (A. Barrios) from the ITACyL

Intimate partner violence complaints during COVID-19 lockdown in Spain: a cross-sectional and a case–control study

Background: During the COVID-19 lockdown, a large proportion of the women exposed to intimate partner violence had to live with their abusers full-time. This study analyzes the new official complaints that were filed during the lockdown in Spain. Methods: Data from the Comprehensive Monitoring System for Cases of Gender Violence from the Ministry of the Interior, Spain. Using logistic regression models, the complaints registered during the lockdown were compared to those registered in the previous year. Subsequently, we analysed association between the seriousness of the incident reported and the period in which the complaint was filed. Results: Official complaints decreased by 19% during the lockdown. The probability of complaints during lockdown mainly increased when victims had a relationship with the abusers [odds ratio (OR) = 1.33] and when they lacked social support (OR = 1.22). The probability that the complaints were associated with previous jealousy (OR = 0.87), previous harassment behaviours (OR = 0.88) or the victim’s fear for minors’ safety (OR = 0.87) decreased. In addition, during lockdown increased the probability that the complaints filed were due to incidents of severe physical violence (OR = 1.17); severe psychological violence against women with minors in their charge (OR = 1.22); and severe violence due to threats (OR = 1.53) when the woman had previously suffered harassment. Conclusions: The decrease in new complaints during the studied period and the increase in their severity evidence difficulties in seeking help due to the lockdown. In situations of confinement, it is necessary to design measures that protect women with a lack of social support, and at those who live with the aggressor.This study was financed through the project ‘Gender violence and social and health responses during the COVID-19 crisis’ by the Fondo Supera COVID-19 CRUE-Santander for the period 2020–21 (Ref. FSCovid19-03)

Curcumin Reduces Colorectal Cancer Cell Proliferation and Migration and Slows In Vivo Growth of Liver Metastases in Rats

Background: New therapeutic approaches are an essential need for patients suffering from colorectal cancer liver metastases. Curcumin, a well-known plant-derived polyphenol, has been shown to play a role in the modulation of multiple signaling pathways involved in the development and progression of certain cancer cells in vitro. This study aims to assess the anti-tumor effect of curcumin on CC531 colorectal cancer cells, both in vitro and in vivo. Methods: On CC531 cultures, the cell viability and cell migration capacity were analyzed (wound healing test) 24, 48, and 72 h after treatment with curcumin (15, 20, 25, or 30 µM). Additionally, in WAG/RijHsd tumor-bearing rats, the total and individual liver lobe tumor volume was quantified in untreated and curcumin-treated animals (200 mg/kg/day, oral). Furthermore, serum enzyme measurements (GOT, GPT, glucose, bilirubin, etc.) were carried out to assess the possible effects on the liver function. Results: In vitro studies showed curcumin’s greatest effects 48h after application, when all of the tested doses reduced cell proliferation by more than 30%. At 72 h, the highest doses of curcumin (25 and 30 µM) reduced cell viability to less than 50%. The wound healing test also showed that curcumin inhibits migration capacity. In vivo, curcumin slowed down the tumor volume of liver implants by 5.6-fold (7.98 ± 1.45 vs. 1.41 ± 1.33; p > 0.0001). Conclusions: Curcumin has shown an anti-tumor effect against liver implants from colorectal cancer, both in vitro and in vivo, in this experimental model