Break Fast: A Quantitative Study on the Breakfast Consumption of High School Students in St. Mary’s College Quezon City

Authors

  • Patricia Alexandra S. Arandia
  • Maria Victoria E. Bautista
  • Trisha Ysabelle T. De Guzman
  • Cherrie Erica R. Palijo

Keywords:

breakfast, SMCQC

Abstract

Breakfast is widely regarded to be “the most important meal of the day.” Among schoolchildren, a healthy breakfast is essential in providing the students with nutrients and has also been found to improve students’ cognitive functioning. However, according to a study by the University of Waterloo, students skipping breakfast remains a prevalent issue in today’s society. With this in mind, the question arises as to whether this issue is commonplace in the school community of St. Mary’s College Quezon City. This research aims to determine if the high school student population in SMCQC can eat breakfast, and what factors affect the frequency of their consumption. This study utilized a quantitative method using a descriptive design to draw generalization with the use of statistical analysis. This allows the researches to describe the data through acquiring factual and systematic data which provides a bigger picture. The study was conducted in St. Mary’s College Quezon City (SMCQC), in the Junior and Senior High School Students of the Basic Education Department. The researchers used stratified random sampling in selecting the participants. The entire population was divided into year levels, and from there,30% of the population of the year level was selected. The researchers’ method of collecting data was through distributing individual survey questionnaires. The questions revolved around the breakfast consumption habits of the students and their perception of how it affects their cognitive, social, and physical aspect. A codebook comprised of numbers corresponding to the data given will be used for a more effective data analysis. The data collected will be analyzed utilizing descriptive statistics; the statistical tools used in analyzing the data are by the use of Measures of Frequency and Measures of Central Tendency.

Published

2019-03-18