早餐营养素和学生学习浓度分析

Elita Endah Mawarni, Yuli Fitria, Fany Anitarini
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摘要

2030 年可持续发展目标(SDGs)计划的主要目标之一与印尼儿童的发展有关,印尼儿童是人力资源,必须提高他们的福利和智力。为了提高智力,在每个学习过程中都需要集中注意力。本研究旨在分析在早餐菜单中摄入营养素的习惯与学习注意力之间的关系。本研究的方法是横断面法,研究对象是位于巴育万宜市的一所私立大学的 2020 级学生。采用目的性抽样技术,受访者为 115 名学生。通过测试当天的早餐数据记录,检索了学生的食物消费数据,以了解早餐的营养充足程度。学习注意力是通过数字符号替换测试(DSST)工具来测量的。此外,还通过填写调查问卷获得了有关早餐习惯的数据。本研究使用的统计检验是皮尔逊秩和检验,其分析公式为 ρ 0,05。研究结果表明,大多数受试者都有定期吃早餐的习惯(70%),而且是在上午 9:00 之前吃早餐(74.7%)。大多数受试者(64.5%)的学习注意力被归类为良好。皮尔逊-秩方统计分析结果表明能量充足程度(r 值=6 594,r 表=5 991)和蛋白质(r 值=7 874,r 表=5 991)与学习注意力之间存在明显关系。早餐菜单中脂肪和碳水化合物的营养充足程度与学习注意力之间没有明显关系(r 值小于 5.991)。关键词早餐营养素 学习浓度 学生
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Breakfast Nutrients and Student Study Concentration
One of the main targets of the Sustainable Development Goals (SDGs) program in 2030 is related to the development of Indonesian children, where Indonesian children are human resources whose welfare and intelligence must be improved. To support intelligence, concentration is needed in every learning process. The aim is to analyze the relationship between the habit of consuming nutrients in the breakfast menu with learning concentration. The method in this study is Cross-Sectional, with the population being students of the class of 2020 at a private university located in the city of Banyuwangi. Using the purposive sampling technique, the number of respondents was 115 students. Data retrieval of students' food consumption to see the level of nutritional adequacy of breakfast was obtained through data records of breakfast on the day of the test. Learning concentration was measured using the Digit Symbol Substitution Test (DSST) instrument. In addition, data on breakfast habits was obtained by filling out a questionnaire. The statistical test used in this study was the Pearson Chi-Square which was analyzed by the formula, using ρ 0,05. The study showed that most of the subjects had a regular breakfast habit (70%) and before 09.00 am (74.7%). The learning concentration of most of the subjects (64.5%) was classified as good. From the results of the Pearson Chi-Square statistical analysis, it was obtained. There is a significant relationship between the level of energy adequacy (r count = 6,594, r table = 5,991), and protein (r count = 7,874, r table = 5,991), with learning concentration. There is no significant relationship between the level of nutritional adequacy of fat and carbohydrates in the breakfast menu with learning concentration (r count < 5.991).  Keywords: Breakfast Nutrients, Learning concentration, Student
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