RESUMEN
Introduction: Obesity is a multifactorial disease affectingadolescent sleep quality and binge eating.Objective: to analyze adolescents sleep quality and possible binge eating according to sex and nutritional status. Methods: 108 adolescents (n = 51 male and n = 57 female) aged between 10 to 18 years were recruited. Bodycomposition was assessed by bioelectrical impedance, inwhich the following variables were collected: body weight,body fat percentage, and resting metabolic rate. The Zscorewas calculated and classified by height and weight as eutrophic and overweight. Subsequently, the adolescents answered the Brazilian version of the Pittsburgh Sleep QualityIndex (PSQI) questionnaire and the binge eating - PeriodicEating Compulsion Scale (BES) questionnaire to assess possible periodic eating compulsion. Results: In the anthropometric analysis, male adolescentsshowed greater height (p<0.0001), body weight (p<0.05),resting metabolic rate (p<0.0001), total body water(p<0.0001), lean mass (p<0.0001), fatfree mass (p<0.0001)and skeletal muscle mass (p= 0.01) compared to female adolescents. However, female adolescents had a higher body fatpercentage when compared to male adolescents (p= 0.01).In addition, overweight adolescents of both sexes had high BES scores compared to eutrophic ones (p<0.05), with higherscores for females compared to males (p<0.05). However, nodifferences were observed between overweight and eutrophicindividuals of both sexes for PQSI (p>0.05). Conclusion: Binge eating was identified in both sexes andmay be related to poor sleep qualit.(AU)
Introducción: La obesidad es una enfermedad multifactorial que afecta la calidad del sueño y los atracones en los adolescentes. Objetivo: analizar la calidad del sueño y los posibles atracones en adolescentes según sexo y estado nutricional. Métodos: se reclutaron 108 adolescentes (n = 51 hombres y n = 57 mujeres) con edades entre 10 y 18 años. Se midió el Z-score y se clasificó por estatura y peso corporal en eutróficos y sobrepeso. Posteriormente, los adolescentes respondieron la versión brasileña del cuestionario Pittsburgh Sleep Quality Index (PSQI) y el cuestionario Binge Eating Scale (BES) para evaluar la posible compulsión alimentaria periódica. Resultados: En los análisis antropométricos, los hombres adolescentes presentaron mayor estatura (p<0,0001), peso corporal (p<0,05), tasa metabólica basal (p<0,0001), agua corporal total (p<0,0001), masa magra (p<0,0001) masa libre de grasa (p<0,0001) y masa muscular esquelética (p= 0,01) en comparación con las mujeres adolescentes. Sin embargo, las mujeres adolescentes presentaron mayor porcentaje de grasa en comparación con los hombres (p= 0,01). Además, los adolescentes sobrepeso de ambos sexos presentaron puntajes BES más altos en comparación con los eutróficos (p<0,05), con puntajes más altos para las mujeres en comparación con los hombres (p<0,05). Sin embargo, no se observaron diferencias entre sobrepeso y eutróficos de ambos sexos para PQSI (p>0,05). Conclusión: Los atracones se identificaron en ambos sexos y pueden estar relacionados con la mala calidad del sueño.(AU)
Asunto(s)
Humanos , Masculino , Femenino , Adolescente , Obesidad , Salud del Adolescente , Trastornos del Sueño-Vigilia , Conducta Alimentaria , Trastorno por Atracón , Sobrepeso , 24439 , 52503 , AntropometríaRESUMEN
Introduction: Obesity in adolescence is associated with severe health complications.Objective: To analyze possible associations among body mass index (BMI), body composition, and biochemical profiles of overweight or obese adolescents.Methods: The study was carried out between 2017 and 2020 and included 132 adolescents aged 10 to 18 years. The following variables were analyzed: BMI, fat-free mass (FFM), body fat mass (BFM), skeletal muscle mass (SMM), body fat percentage (%BF), waist-to-hip ratio (WHR), lean mass index (LMI), fat mass index (FMI), and fat-to-lean mass ratio (FMR), as well as total cholesterol (TC), high-density lipoprotein (HDL-c), low-density lipoprotein (LDL-c) and glutamic-oxaloacetic transaminase (TGO). Statistical analyses were performed using SPSS® version 20.0, considering p<0.05 as significant.Results: Higher values were identified for height, LBM, FFM, and SMM in the male group. On the other hand, higher values were identified for the %BF and FMI in the female group. The female, male, and general groups showed significant correlations between BMI and FMR (r = 0.69, 0.74, and 0.69, respectively), BMI and FFM (r = 0.44, 0.67, and 0.49, respectively), BMI and SMM (r = 0.44, 0.68, and 0.50, respectively), and BMI and %BF (r = 0.40, 0.54, and 0.47, respectively). In the general group, BMI and HDL levels were correlated (r = −0.18; p=0.04). The BFM and WHR showed a predictive effect for TC; WHR and %BF showed a predictive effect for LDL concentrations, and %BF had a predictive effect for TGO (p<0.05). Conclusions: It was possible to verify that BMI, body composition, and biochemical measures show an interrelationship between them, such as with a worsening of anthropometric and body composition indicators associated with worst biochemical parameters, e.g., lower HDL-c and higher TC, LDL-c, and TGO. Thus, public policies are indispensable for combating obesity and related comorbidities in the early phases of life.(AU)