LIFESTYLE AND BODY MASS INDEX OF 4TH YEAR STUDENT NURSES OF ATENEO DE DAVAO UNIVERSITY Abstract
Lifestyle is the way in which an individual lives; it involves norms, values and activities of daily living. These factors influence the diet; sleep pattern and activity pattern of an individual. Many of the Filipino people nowadays are being unconscious of their health. Most young adults do not have ideal body weight for their height and age. The fast phase of their lives tend to neglect the right diet, sleep pattern and ideal activity on their lifestyle resulting to being overweight or underweight, in which that is determined by the BMI. The purpose of this study is to give information and awaken awareness among 4th year student nurses of the Ateneo de Davao University with regards to Lifestyle and Body Mass Index. Statement of the Problem The purpose of the study was to determine the influence of lifestyle and body mass index of the 4th year student nurses of Ateneo de Davao University. Methodology Research Design The non-experimental or descriptive correlational method of research was used in the study. Since the present study was concerned with determining the lifestyle and Body Mass Index of the 4th year student nurses of Ateneo de Davao University. The respondents of the study were the 4th year student nurses of Ateneo de Davao University. To determine the sample size for the study, the researchers obtained the total population of 4th year student nurses of Ateneo de Davao University and decided on the margin of error of 0.05. The researchers used the Sloven’s formula in computing the sample size and were able to come up with the target number of respondents for the study. Using random sampling, 221 students out of the total 496 4th year student nurses of Ateneo de Davao University were made to answer the checklist. Research Instrument The research instrument that was used to determine the lifestyle and BMI of 4th year student nurses of Ateneo de Davao University was a checklist that provides students with a profile of their lifestyle. The checklist consists of 30 questions regarding diet, sleep pattern, and activity/exercise pattern, which were distributed evenly. The numbers 1-10 were questions pertaining to diet. The numbers 11-20 were about sleep pattern while the numbers 21-30 were about the activity and exercise pattern. Included in the questionnaire was the profile of the respondents: the name, age, gender, weight and height. In order to know the BMI of each student, the researchers used the formula, weight in pounds times 703.
1 divided by height in inches squared. The range of body mass index defined the description if the respondent was underweight, healthy, overweight, at risk and obese. The Likert scale was used to interpret the results of the lifestyle according to diet, sleep pattern and activity and exercise pattern. Each range corresponded to a certain description that described the lifestyle according to diet, sleep pattern and activity and exercise pattern. Statistical Treatment The data gathered was analyzed using the descriptive statistics such as the following: To answer the problem number one, the researchers used the: 1. Simple percentage. Percentage indicates the frequency of the sample where scores fall into specific group. This is often useful to display not only the frequency counts for different values but also the percentage of the total. Since the study aimed to determine the lifestyle of, it will tabulate the frequency and percentage distribution of thefollowing: a. According to gender b. According to age groups To answer the statement problem number two and three, the researchers made use of: 2. Simple Mean. This is used to determine the single number or average, which represents the general level of performance of a group. Since the study aimed to determine the body mass index and lifestyle in terms of diet, sleeping habits and activity and exercise of the 4th year student nurses of Ateneo de Davao University, the researchers used the simple mean. In problem statement number four, to determine relationship of variables, the researchers made use of: 3. The Pearson r
, also known as the Pearson product-moment correlation coefficient, was used to calculate the degree to which two variables were related, either inversely or directly. Since the researchers are trying to find out the significant relation between lifestyle and body mass index, we made use of the Pearson r to determine the degree to which two variables can be inversely or directly related.