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Abstract Background A relationship between attention deficit hyperactivity disorder (ADHD) and obesity has been consistently documented. Obesity and metabolic syndrome have been associated with misalignment between daily activities and circadian rhythm. ADHD patients have a high prevalence of delayed sleep phase syndrome, which is a circadian rhythm disorder. Understanding this relationship is important for the evaluation of obese population at risk. Objective The aim of this narrative review was to summarize the information updated until 2019 about the role of circadian rhythms in obese ADHD individuals. Method A search was performed in MEDLINE, EMBASE, and Google Scholar database. The terms ADHD, obesity, circadian rhythm, sleep disorders, adolescent, adult, Adolesc, circadian, attention deficit hyperactivity disorder, and child were combined with logical functions. Results A total of 132 articles were reviewed. Evidence showed that ADHD subjects have an increased risk to present obesity and circadian rhythms disorders. Some possible pathways for this relationship have been hypothesized including obesity as a risk factor, an underpinned common biological dysfunction, and behavioral and cognitive features of individuals with ADHD. As most of the articles are methodologically cross-sectional, it is not possible to establish causative associations. Discussion and conclusion This review points out the importance of early recognizing and treating circadian rhythms disorders and obesity in ADHD patients. Future studies must be carried out with a longitudinal design to establish the effect of each comorbidity in the treatment of individuals with ADHD.
Resumen Antecedentes La relación entre el trastorno por déficit de atención con hiperactividad (TDAH) y la obesidad se ha documentado consistentemente. Por otro lado, el síndrome metabólico y la obesidad se han asociado con un desfase del ritmo circadiano. En poblaciones clínicas con TDAH se han encontrado una alta prevalencia del trastorno de fase de sueño retrasada, el cual es un trastorno del ritmo circadiano. Entender la relación entre estos padecimientos es importante para evaluar la población en riesgo de obesidad. Objetivo Resumir la información actualizada hasta 2019 sobre el rol del ritmo circadiano en individuos obesos con TDAH. Método Se realizó una búsqueda de artículos en las bases de datos MEDLINE, EMBASE y Google Scholar. Los términos TDAH, obesidad, ritmos circadianos, trastornos del sueño, adolescentes, adultos y niños se combinaron con operadores lógicos. Resultados Se revisaron un total de 132 artículos. La evidencia demostró que los sujetos con TDAH tienen un alto riesgo de sufrir obesidad y ritmos circadianos alterados. Existen algunas hipótesis para establecer esta relación, incluyendo la obesidad como factor de riesgo para TDAH, la disfunción biológica común entre estos trastornos y las características conductuales y cognitivas de los individuos con TDAH. Sin embargo, como la mayoría de los artículos son transversales, no es posible establecer una asociación causal. Discusión y conclusión Esta revisión señala la importancia del reconocimiento temprano y tratamiento de los trastornos del ritmo circadiano y obesidad en pacientes con TDAH. Estudios futuros deben realizarse de manera longitudinal para establecer el efecto de estas comorbilidades en el tratamiento de los individuos con TDAH.
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BACKGROUND: There are various language adaptations of the Schedule for Affective Disorders and Schizophrenia for School Age Children Present and Lifetime Version (K-SADS-PL). In order to comply with the changes in DSM classification, the Spanish edition of the interview was in need of update and evaluation. METHODS: K-SADS-PL was adapted to correspond to DSM-5 categories. All clinicians received training, and a 90% agreement was reached. Patients and their parents or guardians were interviewed and videotaped, and the videos were exchanged between raters. Factor analysis was performed and inter-rater reliability was calculated only in the case of diagnoses in which there were more than five patients. RESULTS: A total of 74 subjects were included. The Factor Analysis yielded six factors (Depressive, Stress Hyperarousal, Disruptive Behavioral, Irritable Explosive, Obsessive Repetitive and Encopresis), representing 72% of the variance. Kappa values for inter-rater agreement were larger than 0.7 for over half of the disorders. CONCLUSIONS: The factor structure of diagnoses, made with the instrument was found to correspond to the DSM-5 disorder organization. The instrument showed good construct validity and inter-rater reliability, which makes it a useful tool for clinical research studies in children and adolescents.