ABSTRACT
Introducción: El examen de médico interno residente (examen MIR) es la prueba que permite el acceso a la formación médica especializada en España. Su objetivo es distribuir las plazas disponibles para las diferentes especialidades médicas entre los graduados en Medicina, teniendo en cuenta para ello tanto su expediente como los resultados de la prueba. La realización de un examen de test tiene un cierto componente de aleatoriedad.Objetivos: Analizar el rendimiento de las números uno de las convocatorias de 2021-2022 y 2022-2023 a lo largo de su preparación, así como conocer qué resultados podrían obtener en caso de que repitieran el mismo examen un millón de veces. Material y métodos: Se hizo uso de la información relativa al rendimiento de los estudiantes que prepararon las pruebas con cursos intensivos MIR Asturias, así como de los principios de la teoría de respuesta al ítem.Resultados. En 11 (33,3%) y 14 (42,4%) de las 33 pruebas realizadas a lo largo de la preparación, las números uno se clasificaron entre los 10 primeros. A partir de las simulaciones de las pruebas MIR de 2022 y 2023, se obtuvo que la primera clasificada de 2022 quedaría entre los 185 primeros de la prueba, y la de 2023, entre los 92 primeros.Conclusiones: Para obtener un número de orden entre los primeros clasificados es necesario disponer de un ability elevado, el cual se consigue a través de una preparación sólida. Además, el azar tiene un cierto nivel de influencia sobre los resultados de los opositores presentados a la prueba.(AU)
Introduction: The MIR exam is the test that allows access to specialized medical training in Spain. Its objective is to distribute the available places for the different medical specialties among Medicine graduates, taking into account both their record and the results of the test. Taking a test exam has a certain element of randomness.Objectives: Analyze the performance of the number ones of the 2021-2022 and 2022-2023 calls throughout their preparation, as well as know what results they could obtain if they repeated the same exam one million times. Material and methods: Information related to the performance of the students who prepared the tests with MIR Asturias Intensive Courses was used, as well as the principles of item response theory.Results. In 11 (33.3%) and 14 (42.4%) of the 33 tests carried out throughout the preparation, number one was classified among the top 10. From the simulations of the 2022 and 2023 MIR tests, it was obtained that the first classified in 2022 would be among the top 185 in the test and in 2023 among the top 92. Conclusions: To obtain an order number among the first classified it is necessary to have a high ability, which is achieved through solid preparation. In addition, randomness has a certain level of influence on the results of the opponents presented to the test.(AU)
Subject(s)
Humans , Male , Female , Education, Medical/methods , Health Sciences/education , Students, Medical , Psychometrics , National Health Systems , Spain , Academic PerformanceABSTRACT
OBJECTIVE: Impulsivity and inattention related to attention deficit hyperactivity disorder (ADHD) may increase food intake and, consequently, weight gain. However, findings on the association between obesity/overweight and ADHD are mixed. The authors conducted a meta-analysis to estimate this association. METHOD: A broad range of databases was searched through Aug. 31, 2014. Unpublished studies were also obtained. Study quality was rated with the Newcastle-Ottawa Scale. Random-effects models were used. RESULTS: Forty-two studies that included a total of 728,136 individuals (48,161 ADHD subjects; 679,975 comparison subjects) were retained. A significant association between obesity and ADHD was found for both children (odds ratio=1.20, 95% CI=1.05-1.37) and adults (odds ratio=1.55, 95% CI=1.32-1.81). The pooled prevalence of obesity was increased by about 70% in adults with ADHD (28.2%, 95% CI=22.8-34.4) compared with those without ADHD (16.4%, 95% CI=13.4-19.9), and by about 40% in children with ADHD (10.3%, 95% CI=7.9-13.3) compared with those without ADHD (7.4%, 95% CI=5.4-10.1). The significant association between ADHD and obesity remained when limited to studies 1) reporting odds ratios adjusted for possible confounding factors; 2) diagnosing ADHD by direct interview; and 3) using directly measured height and weight. Gender, study setting, study country, and study quality did not moderate the association between obesity and ADHD. ADHD was also significantly associated with overweight. Individuals medicated for ADHD were not at higher risk of obesity. CONCLUSIONS: This study provides meta-analytic evidence for a significant association between ADHD and obesity/overweight. Further research should address possible underlying mechanisms and the long-term effects of ADHD treatments on weight in individuals with both ADHD and obesity.
Subject(s)
Attention Deficit Disorder with Hyperactivity , Obesity , Adult , Attention Deficit Disorder with Hyperactivity/epidemiology , Attention Deficit Disorder with Hyperactivity/physiopathology , Child , Confounding Factors, Epidemiologic , Humans , Impulsive Behavior/physiology , Obesity/epidemiology , Obesity/psychology , Risk FactorsABSTRACT
INTRODUCTION: An increasing number of clinical and epidemiological studies suggest a possible association between attention-deficit/hyperactivity disorder (ADHD) and obesity/overweight. However, overall evidence is mixed. Given the public health relevance of ADHD and obesity/overweight, understanding whether and to what extent they are associated is paramount to plan intervention and prevention strategies. We describe the protocol of a systematic review and meta-analysis aimed at assessing the prevalence of obesity/overweight in individuals with ADHD versus those without ADHD. METHODS AND ANALYSIS: We will include studies of any design (except case reports or case series) comparing the prevalence of obesity and/or overweight in children or adults with and without ADHD (or hyperkinetic disorder). We will search an extensive number of databases including PubMed, Ovid databases, Web of Knowledge and Thomson-Reuters databases, ERIC and CINAHL. No restrictions of language will be applied. We will also contact experts in the field for possible unpublished or in press data. Primary and additional outcomes will be the prevalence of obesity and overweight, respectively. We will combine ORs using random-effects models in STATA V.12.0. The quality of the study will be assessed primarily using the Newcastle-Ottawa Scale. Subgroup meta-analyses will be conducted according to participants' age (children vs adults) and study setting (clinical vs general population). We will explore the feasibility of conducting meta-regression analyses to assess the moderating effect of age, gender, socioeconomic status, study setting, geographic location of the study (low-income, middle-income countries vs high-income countries), definition of obesity, method to assess ADHD, psychiatric comorbidities and medication status. ETHICS AND DISSEMINATION: No ethical issues are foreseen. The results will be published in a peer-reviewed journal and presented at national and international conferences of psychiatry, psychology, obesity and paediatrics. REGISTRATION: PROSPERO-National Institute of Health Research (NIHR) Prospective Register of Systematic Reviews (CRD42013006410).
Subject(s)
Attention Deficit Disorder with Hyperactivity/epidemiology , Obesity/epidemiology , Adult , Child , Clinical Protocols , Comorbidity , Female , Humans , Male , Overweight/epidemiology , Prevalence , Prospective Studies , Research Design , Systematic Reviews as TopicABSTRACT
Recent studies suggest an association between attention-deficit/hyperactivity disorder (ADHD) and obesity. In this article, we systematically review and critically discuss evidence on the prevalence of ADHD in obese patients as well as the weight status of individuals with ADHD. Relevant articles were searched in PubMed, PsychInfo, and ISI Web of Science (January 1980 to June 2010). We found that current evidence indicates a high prevalence of ADHD in clinical samples of patients seeking treatment for their obesity. Moreover, available studies show that individuals with ADHD have higher-than-average body mass index z scores and/or a significantly higher prevalence of obesity compared with subjects without ADHD. Three mechanisms underlying the association between ADHD and obesity have been proposed: 1) it is possible that obesity and/or factors associated with it (such as sleep-disordered breathing) manifest as ADHD-like symptoms; 2) ADHD and obesity share common biological dysfunctions; and 3) ADHD contributes to obesity. With regards to the possible clinical implications, our findings suggest that it is noteworthy to screen for ADHD in patients with obesity and to look for abnormal eating behaviors as possible contributing factors of obesity in patients with ADHD. Based on preliminary findings, appropriate treatment of ADHD may improve the weight status of individuals with both obesity and ADHD.
