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Objetivo: Determinar el efecto del consumo de avena (Avena sativa) sobre el nivel de colesterol y triglicéridosen suero. Metodología: Enfoque cuantitativo, de diseño pre experimental (pre y post) y de corte longitudinal.La muestra estuvo conformada por 26 personas adultas del asentamiento humano Nueva Alianza-Chaclacayo(Lima), de ambos sexos, entre 28 a 80 años, con niveles de colesterol > a 190mg/dl, quienes fueron seleccionadosmediante muestreo no probabilístico de tipo intencional. El consumo fue de 60 g/día de avena en hojuelas porun periodo de 6 semanas. Resultados: Al término de la intervención se demostró disminución estadísticamentesignificativa en el nivel de colesterol (T= 4,95; p<0,05) de 217,04 mg/dl a 195,73 mg/dl, sin embargo, no hubocambios estadísticamente significativos en el nivel de triglicéridos (Z= -1,18; p>0,05). Conclusiones: El consumode 60 g de avena en hojuelas durante un periodo de 6 semanas reduce el nivel de colesterol total.
Objetivo: Determinar el efecto del consumo de avena (Avena sativa) sobre el nivel de colesterol y triglicéridosen suero. Metodología: Enfoque cuantitativo, de diseño pre experimental (pre y post) y de corte longitudinal.La muestra estuvo conformada por 26 personas adultas del asentamiento humano Nueva Alianza-Chaclacayo(Lima), de ambos sexos, entre 28 a 80 años, con niveles de colesterol > a 190mg/dl, quienes fueron seleccionadosmediante muestreo no probabilístico de tipo intencional. El consumo fue de 60 g/día de avena en hojuelas porun periodo de 6 semanas. Resultados: Al término de la intervención se demostró disminución estadísticamentesignificativa en el nivel de colesterol (T= 4,95; p<0,05) de 217,04 mg/dl a 195,73 mg/dl, sin embargo, no hubocambios estadísticamente significativos en el nivel de triglicéridos (Z= -1,18; p>0,05). Conclusiones: El consumode 60 g de avena en hojuelas durante un periodo de 6 semanas reduce el nivel de colesterol total.
BackgroundHigher consumption of sugar-sweetened beverages (SSBs) maybe association with children's sleep pattern. However, few studies have considered this association in Asia, especially in school children. This study investigated the relationship between children's consumption frequency of such beverages and their sleep duration.MethodsParticipants aged 6–12 years were analyzed from two survey data in 2012 and 2013–2016 Nutrition and Health Surveys in Taiwan. A total of 2,628 participants were included in the analysis (2012, N = 1,267; 2013–2016, N = 1,361). Beverages weekly consumption were divided into low and high intake groups by medians cut-off points. The sleep variables were the sleep duration at night (including school days and weekends) and sleep debt. After controlling the confounders, the correlation between sugar-sweetened beverage consumption and sleep duration was examined using multinomial logistic regression analysis.ResultsThe students slept for an average of 8.8 h on school days and 9.7 h on weekends. Relative to the low SSB intake group, the high intake group exhibited shorter sleep durations on school days (P < 0.001), greater sleep debt (P = 0.049). In logistic regression, high intake group were more likely to sleep for <8.5 h on school days (OR = 1.67, P = 0.002) and exhibit >2 h of sleep debt than low intake group (OR = 1.41, P = 0.022).ConclusionsChildren who had consumed sugar-sweetened beverages frequently slept for shorter durations at night on school days and exhibited greater sleep debt. The causal relationship was not clear. Nonetheless, these two factors are important in promoting children health.
Study objective: Epidemiological studies have shown an inverse relationship between sleep duration and body mass index. Respiratory sleep problems are also correlated with abdominal adiposity and fat mass indicators. We analyzed if body fat has influence on sleep duration and quality, according to percentiles, gender and exercise. Methods: An observational, descriptive, retrospective study with 264 subjects from different sports clubs and gyms in the Community of Madrid was conducted. Anthropometric measurements (weight, height, BMI, body fat %, fat free mass, waist circumference, basal metabolic rate) and a questionnaire, including medical history, eating habits, sleep and exercise items, were taken. Different percentiles for body fat % were calculated according to gender and age. Participants were classified into three groups: percentile<45, between 45-55 and percentile>55. Data analysis was performed with SPSS® 20 software. Quantitative variables were presented as mean±standard-deviation; qualitative variables as absolute frequencies and percentages. Results: Men and women slept the same number of hours and had similar body fat % percentiles. No relationship between body fat and sleep quality was found. Subjects with percentile >55 had longer sleep duration than percentile <45 and 45-55. Conclusion: Body composition influences on sleep, being worse in individuals with obesity and better in individuals who exercise.
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