Social and Behavioral Sciences Commons^™

Selected Health Behaviors Among Undergraduate College Students In Different Academic Disciplines, Patrick C. Gathman

Senior Honors Projects, 2010-2019

Physical activity, campus recreation (CR) use, body mass index (BMI), and varied health indices were compared between academic discipline (AD) groups and sex. Participants (n = 219) were classified as AD I (kinesiology and physical education majors), AD II (health science majors and nursing majors), and AD III (representative sample of other non-health-related majors) in order to make between group comparisons based on the amount of emphasis placed on physical activity and health-related content within different disciplines. Significant differences (p < 0.05) were found between the academic discipline groups for International Physical Activity Questionnaire (IPAQ) scores, CR minutes, CR days, CR time per day, vigorous physical activity (VPA), and perceived-health score; and between sex for BMI, VPA, sitting (SIT), fiber intake, and fruit and vegetable intake. When measuring CR use in total minutes per semester, days per semester, and minutes per day AD I was higher than AD II by 100%, 66%, and 21%, respectively; and AD I was higher than AD III by 247%, 160%, and 27%, respectively. The results indicate a positive relationship between the emphasis placed physical activity and health within an academic discipline and the degree to which students participate in physical activity, positive health behaviors and perceived health.

Predicting Student Involvement In Campus Recreation Programs, Nicole Grabowski

Senior Honors Projects, 2010-2019

Purpose: To identify factors that predict the frequency of campus recreation (CR) use at a 4-year, public university in the mid-Atlantic region.

Methods: Students were given an online survey to collect a variety of student lifestyle and health information, including campus residency status, gender, year, height, weight, academic discipline, semester credit hour enrollment, and job hours per week during the semester. Analysis participants (n = 1561) were divided into two subsets, one with 90% of the subjects, and one with 10% of the subjects. A stepwise multiple regression analysis was performed on the 90% subset with the predictor variables. Two …