Document Type : Original Article
Authors
Departments of Biostatistics and Epidemiology, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract
Purpose: This study has been conducted to identify the roles of self-efficacy, benefits of and
barriers to physical activity, and its relationship with physical activity in male and female high
school students in the city of Izeh, Iran. Materials and Methods: In this cross-sectional descriptive
analytical study, 500 students (200 boys and 300 girls) from high schools of Izeh city during the
period 2011-2012 were chosen using the multistage random sampling method. The data for this
study was acquired through a multisectional questionnaire that included sections as follows:
Demographic characteristics, self-efficacy, and perceived benefits and barriers. The gathered
data was then studied and analyzed. Statistical tests such as independent t-tests, Spearman’s
correlation, Pearson’s correlation coefficient and linear regression were used to interpret and
analyze the data. Results: Data analysis showed that the mean age of male participants was
15.67 ± 0.95 years and females 15.86 ± 1.16 years. The average weekly time of physical activity
in male students was 424.74 ± 158.48 min and in females 186.63 ± 90.59 min. The mean scores
for self-efficacy and perceived benefits of physical activity were significantly higher in boys as
compared to girls. There was a positive and significant correlation between the mean scores for
perceived self-efficacy and the weekly time in male students spent on physical activity as well as the
mean scores for perceived benefits and the weekly time spent on physical activity in both genders.
Conclusion: The results of this study showed that many factors influence students’ physical
activity; however, the role of these factors is not identical in the two genders. An understanding
of these factors helps educationalists and other health experts design appropriate interventions.
Keywords
London: Routledge;2004.
2. Hamedinia M, Rezaie S. The relations of physical activity and
body fat percentage to some cardiovascular risk factors in faculty
members of Sabzevar Teacher Training University. Q J Sabzevar
Univ Med Sci 2004;11:34-40.
3. Aziz S, Noorulain W, Zaidi UE, Hossain K, Siddiqi IA. Prevalence of
overweight and obesity among children and adolescents of affluent
schools in Karachi. J Pak Med Assoc 2009;59:35-8.
4. Aniza I, Fairuz MR. Factors influencing physical activity level among
secondary school adolescents in Petaling District, Selangor. Med J
Malaysia 2009;64:228-32.
5. Dorre F, Kelishadi R, Kahbazi M, Katayoon R, Haidari S,
Abdolmehdi B. Determine patterns of physical activity in children
of Isfahan and central Provinces in 2002. AMUJ 2002;7:1-11.
6. Ziaee V, Kelishadi R, Ardalan G, Gheiratmand R, Majdzadeh SR,
Monazzam MM. Physical activity in Iranian students CASPIAN Study.
Iran J Pediatr 2006;16:157-64.
7. Moayeri H, Bidad K, Aghamohammadi A, Rabbani A, Anari S,
Nazemi L, et al. Overweight and obesity and their associated
factors in adolescents in Tehran, Iran, 2004-2005. Eur J Pediatr
2006;165:489-93.
8. Park H, Kim N. Predicting factors of physical activity in adolescents:
A systematic review. Asian Nurs Res 2008;2:113-28.
9. Lim KC, Kaslom K. Psychological determinants of leisure time
physical activity participation among public university students in
Malaysia. AJTLHE 2010;2:35-49.
10. Davidson Z, Simen-Kapeu A, Veugelers PJ. Neighborhood
determinants of self-efficacy, physical activity, and body weights
among Canadian children. Health Place 2010;16:567-72.
11. Hohepa M, Schofield G, Kolt GS. Physical activity: What do high
school students think? J Adolesc Health 2006;39:328-36.
12. Allison KR, Dwyer JJ, Makin S. Perceived barriers to physical activity
among high school students. Prev Med 1999;28:608-15.
13. Sullivan KA, White KM, Young RM, Scott CJ. Predictors of intention
to exercise to reduce stroke among people at risk of stroke: An
application of an extended Health Belief Model. Rehabil Psychol
2008;53:505-12.
14. Centers for Disease Control and Prevention. Behavioral Risk Factor
Surveillance System Survey Questionnaire. Atlanta, Georgia:
U.S. Department of Health and Human Services, Centers for Disease
Control and Prevention; 2005.
15. Bandura A. Self-efficacy: The Exercise of Control. New York:
W.H. Freeman and Company; 1997.
16. Daskapan A, Tuzun EH, Eker L. Perceived barriers to physical activity
in university students. J Sports Sci Med 2006;5:615-20.
17. Sallis JF, Calfas KJ, Nichols JF, Sarkin JA, Johnson MF, Caparosa S,
et al. Evaluation of a university course to promote physical activity:
Project GRAD. Res Q Exerc Sport 1999;70:1-10.
18. Perceived barriers and benefits to physical activity. Keeping
pace 2010;2:1-2. Available from: http://www.aare.edu.au/05pap/
tho05304.pdf [Last accessed on 2013 Jan 21].
19. Lovell GP, El Ansari W, Parker JK. Perceived exercise benefits
and barriers of non-exercising female university students in the
United Kingdom. Int J Environ Res Public Health 2010;7:784-98.
20. Aghamolaei T, Tavafian SS, Hassani L. Exercise self-efficacy, regular
physical activity perceived benefits and barriers among students in
Hormozgan University of Medical Sciences. IJE 2008;4:9-15.
21. Jaffari Naieni Lotfabadi H, Shajie R, Javadian Sarraf N. Bandura’s
social cognitive theory of function and its ability to predict physical
activity: Review of studies from 1990 to 2007. Proceedings of the
Fifth Congress on Physical Education and Sports Sciences Babolsar,
Iran; March 2007. 161-2.
22. Thorpe K, Dowson M, Martin AJ, Craven RG, Richards GE,
Marsh HW, et al. Effects of Year of Schooling, Gender, and
Self-efficacy on High School Students Participation in Physical
Activity: Social and Educational Implications.SELF Research Centre,
University of Western Sydney, Australia; 2005.
23. Foley L, Prapavessis H, Maddison R, Burke S, McGowan E,
Gillanders L. Predicting physical activity intention and behavior in
school-age children. Pediatr Exerc Sci 2008;20:342-56.
24. Dambros DD, Lopes LF, Santos DL. Perceived barriers and physical
activity in adolescent students from a Southern Brazilian city. Rev
Bras Cineantropom Desempenho Hum 2011;13:422-48.
25. Mohammadi Zeidi I, Ziaeiha M, Variyani SA, Khalaj M, Mohammadi
Zeidi B, Morshedi H. Predicting the stages of change in physical
activity behavior of QUMS students with Pender’s model. J Qazvin
Univ Med Sci 2010;14:58-66