Calidad del sueño y factores asociados entre los adolescentes

Introduction: This study aimed to investigate sleep quality and sleep patterns in adolescents. The second aim was to find out whether there was an association between sleep quality, sleep patterns, dietary habits, food consumptions, and anthropometric measurements in an adolescent population.Material and methods: This cross-sectional study was conducted on 346 adolescents. Data was recorded with a questionnaire form. The questionnaire form included items on adolescents’ characteristics, sleep patterns, dietary habits, food consumptions, and anthropometric measurements. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Results: Sleep duration of >8 hours (67.6%) and sleep latency of 15 minutes (53.8%) were the most commonly identified sleeping patterns. The mean PSQI score was 3.07±2.54. PSQI scores revealed poor sleep quality in 13.6% of participants. A significant difference was observed between age, disease diagnosed by physician, skipping main meals, having regular breakfast, and PSQI score (p<0.05). PSQI score was found to be significantly associated with spending time in front of the computer and regular sleep. The amount of daily saturated fatty acid was statistically significantly lower (p=0.040) in individuals in the good PSQI. Conclusions: The vast majority of adolescents had good sleep quality. Sleep duration of adolescents was consistent with the recommended need. Individual factors, dietary habits, food consumption, and screen times were factors associated with sleep quality. This current study results support the development of interventions to help adolescents improve sleep quality. We recommend further investigation to clarify this finding.Introducción: Este estudio tuvo como objetivo investigar la calidad del sueño y los patrones de sueño en los adolescentes. El segundo objetivo fue averiguar si había una asociación entre la calidad del sueño, los patrones de sueño, los hábitos alimenticios, el consumo de alimentos y las mediciones antropométricas en una población adolescente.Material y métodos: este estudio transversal se realizó en 346 adolescentes. Los datos se registraron con un formulario de cuestionario. El formulario del cuestionario incluía elementos sobre las características de los adolescentes, los patrones de sueño, los hábitos alimenticios, el consumo de alimentos y las mediciones antropométricas. La calidad del sueño se midió utilizando el Índice de calidad del sueño de Pittsburgh (PSQI).Resultados: la duración del sueño> 8 horas (67,6%) y la latencia del sueño de 15 minutos (53,8%) fueron los patrones de sueño más comúnmente identificados. La puntuación media de PSQI fue de 3,07 ± 2,54. Las puntuaciones del PSQI revelaron una mala calidad del sueño en el 13,6% de los participantes. Se observó una diferencia significativa entre la edad, la enfermedad diagnosticada por el médico, la omisión de las comidas principales, el desayuno regular y el puntaje PSQI (p <0,05). Se encontró que el puntaje del PSQI estaba significativamente asociado con pasar tiempo frente a la computadora y dormir regularmente. La cantidad de ácido graso saturado diario fue menor estadísticamente significativa (p = 0,040) en individuos con buen PSQI.Conclusiones: La gran mayoría de los adolescentes tenían buena calidad del sueño. La duración del sueño de los adolescentes fue consistente con la necesidad recomendada. Los factores individuales, los hábitos alimenticios, el consumo de alimentos y los tiempos de pantalla fueron factores asociados con la calidad del sueño. Los resultados de este estudio actual apoyan el desarrollo de intervenciones para ayudar a los adolescentes a mejorar la calidad del sueño. Recomendamos una mayor investigación para aclarar este hallazgo

Sleep Quality and Associated Factors among Adolescents

Introduction: This study aimed to investigate sleep quality and sleep patterns in adolescents. The second aim was to find out whether there was an association between sleep quality, sleep patterns, dietary habits, food consumptions, and anthropometric measurements in an adolescent population.Material and methods: This cross-sectional study was conducted on 346 adolescents. Data was recorded with a questionnaire form. The questionnaire form included items on adolescents’ characteristics, sleep patterns, dietary habits, food consumptions, and anthropometric measurements. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Results: Sleep duration of >8 hours (67.6%) and sleep latency of 15 minutes (53.8%) were the most commonly identified sleeping patterns. The mean PSQI score was 3.07±2.54. PSQI scores revealed poor sleep quality in 13.6% of participants. A significant difference was observed between age, disease diagnosed by physician, skipping main meals, having regular breakfast, and PSQI score (p 8 horas (67,6%) y la latencia del sueño de 15 minutos (53,8%) fueron los patrones de sueño más comúnmente identificados. La puntuación media de PSQI fue de 3,07 ± 2,54. Las puntuaciones del PSQI revelaron una mala calidad del sueño en el 13,6% de los participantes. Se observó una diferencia significativa entre la edad, la enfermedad diagnosticada por el médico, la omisión de las comidas principales, el desayuno regular y el puntaje PSQI (p <0,05). Se encontró que el puntaje del PSQI estaba significativamente asociado con pasar tiempo frente a la computadora y dormir regularmente. La cantidad de ácido graso saturado diario fue menor estadísticamente significativa (p = 0,040) en individuos con buen PSQI.Conclusiones: La gran mayoría de los adolescentes tenían buena calidad del sueño. La duración del sueño de los adolescentes fue consistente con la necesidad recomendada. Los factores individuales, los hábitos alimenticios, el consumo de alimentos y los tiempos de pantalla fueron factores asociados con la calidad del sueño. Los resultados de este estudio actual apoyan el desarrollo de intervenciones para ayudar a los adolescentes a mejorar la calidad del sueño. Recomendamos una mayor investigación para aclarar este hallazgo

COMPARISON OF NUTRITIONAL STATUS IN THE ELDERLY ACCORDING TO LIVING SITUATIONS

WOS: 000394347000004PubMed ID: 27999846Aim: This study aimed to evaluate the nutritional status of elderly individuals living alone and with their families. Participants and Method: The sample of the study included 872 elderly individuals who agreed to participate in the study, were aged 65 or over, and lived in Ankara. The data were gathered from a survey, using face-to-face interviews. The Mini Nutritional Assessment (MNA) was used in evaluating each individual's nutrition. Results: The rate of malnutrition in the study population was 5% while the malnutrition risk was 67%. The rate of malnutrition in the individuals living alone was found to be higher than that of those living with their families. The rates of malnutrition in individuals living alone and with their families were, respectively, 7% and 4%, and the rates of malnutrition risk in individuals living alone and with their families were, respectively, 73% and 66% (p<0.05). In both groups, there were significant relationships between individuals' ages, BMI values, mid-upper arm circumference (MUAC), and calf circumference measurements and their MNA scores. While there was a negative and significant relationship between age and MNA scores, the relationships between other parameters and MNA scores were positive and significant (p<0.01). Conclusion: In this study, it was revealed that the nutrition of elderly individuals living alone differs from the nutrition of elderly individuals living with their families. Malnutrition rates were higher in individuals living alone. Raising the awareness of elderly people and their families regarding the need to improve and maintain nutrition would be beneficial

Assessment of Body Composition and Serum Lipid Profile in School Children

Objective: To determine the relationship between body composition and blood lipid concentrations in school aged children Methodology: In this cross-sectional study, 159 children between the ages of 6 to 11 years were included Anthropometric measurements and serum total lipids profile were assessed. Results: Overweight was 6% for boys and 5% for girls. A positive correlations were observed between Total Cholestrol (TC), and BMI, waist circumference, waist to hip ratio, percentage of fat mass, arm fat area (AFA) and between triglyceride (TG), and AFA; white a negative correlation was determined between HDL-C, and fat mass, AFA for boys. No correlation was observed for these values obtained from girls. Conclusion: This study has shown that in comparison to girls, the overweight and the correlation of body composition and lipid profiles were higher in boys with a tendency to develop the higher risk level of cardio vascular disease.Wo

Assessment And Evaluation Of The Nutritional Status Of The Elderly Using 2 Different Instruments

Objectives: The elderly population continues to increase in most countries and inadequate nutrition is a common problem affecting their functional and physical status. Therefore, we should periodically assess the nutritional status of the elderly using practical methods. Our study objectives are to assess the nutritional status of the elderly using 2 different methods: Mini Nutritional Assessment (MNA) and Nutritional Screening Initiative Checklist (NSIC), and to evaluate the consistency of the methods. Methods: We carried out a cross-sectional study between February 2003 and March 2004. We included a total of 1,564 elderly volunteers living in Ankara, Turkey, with median (+/- inter quartile range [IQR]) age of 70 8 (Male: 71 9; Female: 70 9) years. We utilized 2 frequently used instruments; MNA and NSIC in this study. Results: The MNA results ( 0.05). We analyzed agreements between MNA and NSIC score by Kappa statistical method (kappa: 0.13, p:0.285) and determined that neither of these 2 methods can be used in lieu of the other. Conclusion: For the assessment of the nutritional status of the elderly, we could use both NINA and NSIC instruments but depending on the facilities and preferences, we cannot use one to replace the other. The MNA includes both anthropometric measurements and various nutritional parameters, and is a practical and most valid method.Wo

A factor that can yield to eating attitude disorders in university students: Self-esteem

Objective: To determine prevalence of eating attitude disorder (EAD) and the effect of self-esteem on EAD in female university students. Study Design: In this cross-sectional study, female university students were included. The dependent variable was EAD determined by Eating Attitude Test-40. Socio-demographic characteristics, body perception, obesity, self-compassion and self-esteem were independent variables. Logistic regression (LR) models have been established to determine the associated factors of EAD. p = 25.0). According to LR models, after adjusted for age, increased self-esteem score (decreased self-esteem) (OR:1.8, 95%CI:1.063-3.303) and practicing popular diet (OR:12.6, 95%CI:4.439-35.904) increased the risk of EAD significantly. Conclusion: EAD were less than expected in this group of university students. Self-esteem is an important factor affecting EAD. Students with EAD may be recommended to get psychological support as well as nutritional counseling