Int J Sports Med 2005; 26(2): 158-163
DOI: 10.1055/s-2004-821135
Behavioral Sciences

© Georg Thieme Verlag KG Stuttgart · New York

Social Cognitive Theory Variables Associated with Physical Activity Among High School Students

R. L. Petosa1 , B. V. Hortz1 , C. E. Cardina1 , R. R. Suminski1
  • 1Health Promotion and Exercise Behavior, School of Physical Activity and Educational Services, The Ohio State University, Columbus, OH, USA
Further Information

Publication History

Accepted after revision: May 20, 2004

Publication Date:
22 December 2004 (online)

Abstract

The purpose of this study was to describe the relationships between Social Cognitive Theory (SCT) variables and frequency of moderate-vigorous physical activity in a sample of high school students. Days of moderate and vigorous physical activity were assessed using a previously validated one-day recall instrument administered on seven consecutive days. The SCT variables tested were: self-regulation, social situation, social outcome expectations, physical appearance outcome expectations, general health outcome expectations, negative outcome expectations, self-efficacy for ability, and self-efficacy for barriers. The SCT variables studied are potentially modifiable via educational interventions. Results revealed that 15 % of the subjects reported 3 or more days of physical activity. Four of the SCT were retained in the regression model accounting for 31 % of the variance in days or moderate-vigorous physical activity. SCT is useful for understanding frequency of moderate-vigorous physical activity among adolescents.

References

  • 1 Bandura A. Social Learning Theory. Englewood Cliffs, NJ; Prentice Hall 1977
  • 2 Bandura A. Social Foundation of Thought and Action. A Social Cognitive Theory. Englewood Cliffs, NJ; Prentice Hall 1986
  • 3 Baranowski T, Bouchard C. Assesment, prevelance, and cardiovascular benefits of physical activity and fitness in youth.  Med Sci Sports Exerc. 1992;  24 (Suppl 6) 237-247
  • 4 Baranowski T, Anderson C, Carmack C. Mediating variable framework in physical activity interventions: How are we doing? How might we do better?.  Am J Prev Med. 1998;  15 266-297
  • 5 Baranowski T, Hooks P, Tsong Y, Cieslik C, Nader P. Aerobic physical activity among third- to sixth-grade children.  J Dev Behav Pediatr. 1987;  8 203-206
  • 6 Biddle S, Goudas M. Analysis of children's physical activity and its association with adult encouragement and social cognitive variables.  J Sch Health. 1996;  66 75-78
  • 7 Butcher J. Socialization of adolescent girls into physical activity.  Adolescence. 1983;  18 753-766
  • 8 CDC . CDC Surveillance Summaries.  MMWR. 2000;  49 SS-5
  • 9 Flay B. Social psychological approaches to smoking prevention: Review and recommendations. Ward W, Mullen P Advances in Health Education and Promotion. Grenwich, CT; JAI Press 1987: 121-180
  • 10 Godin G, Jobin J, Bouillon J. Assessment of leisure time exercise behavior by self-report: A concurrent validity study.  Can J Public Health. 1986;  77 359-362
  • 11 McGaha C. Development of a Research Instrument Designed to Measure Self-Regulatory Processes Associated with Physical Actvity Among Adults. Dissertation. Columbus, OH; College of Education, The Ohio State University 1996
  • 12 Petosa P. Use of Social Cognitive Theory to Explain Exercise Behavior Among Adults. Health, Physical Education, and Recreation. Dissertation. Columbus, OH; The Ohio State University 1993
  • 13 Petosa R. Enhancing the health competence of school-age children through behavioral self-management skills.  J Sch Health. 1986;  56 34-45
  • 14 Petosa R. Using behavioral contracts to promote health behavior change: Applications in a college level health course.  J Health Educ. 1984;  15 22-26
  • 15 Petosa R. Promoting student learning of behavioral strategies using behavior contracts.  J Health Educ. 1985;  16 39-41
  • 16 Petosa R. Psychosocial Factors Related to the Development of Heart Health Fitness Among Youth. Columbia, SC; American Heart Association 1989
  • 17 Reynolds K, Killen J, Bryson S. Psychosocial predictors of physical activity in adolescents.  Prev Med. 1990;  19 541-551
  • 18 Ross J, Dotson C, Gilbert G. Are kids getting appropriate activity?.  JOPERD. 1985;  56 82-85
  • 19 Sallis J. Physical activity guidelines for adolescents.  Ped Exerc Sci. 1994;  6 1-18
  • 20 Pate R, Felton G, Dowda M, Weinrich M, Ward D, Parsons M, Baranowski T. Development of questionnaires to measure psychosocial influences on children's physical activity.  Prev Med. 1997;  26 241-247
  • 21 SPSS Inc. .SPSS X. Gorinchen, Netherlands; SPSS Europe 1998
  • 22 Trost S, Pate R, Saunders R, Ward D, Dowda M, Felton G. A prospective study of the determinants of physical activity in rural fifth-grade children.  Prev Med. 1997;  26 257-263
  • 23 Weston A, Petosa R, Pate R. Validation of an instrument for measurement of physical activity in youth.  Med Sci Sports Exerc. 1997;  29 138-143
  • 24 Zakarian J, Hovell M, Hofstetter C, Sallis J, Keating K. Correlated of vigorous exercise in a predominantly low SES and minority high school population.  Prev Med. 1994;  23 314-321
  • 25 Kaiser H F, Rice J. Little Jiffy, Mark IV.  Educational and Psychological Measurement. 1974;  34 111-117
  • 26 Pate R R, Pratt M, Blair S N, Haskell W L, Macera C A, Bouchard C, Buchner D, Ettinger W, Heath G W, King A C, Kriska A, Leon A S, Marcus B H, Morris J, Paffenbarger R S, Patrick K, Pollock M L, Rippe J M, Sallis J, Wilmore J H. ACSM guidelines for exercise, physical activity and public health - a recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine.  JAMA. 1995;  273 402-407

Associate Professor Ph.D., AAHB Rick Petosa

School of PAES

344 Larkins Hall, The Ohio State University

Columbus, Ohio 43210

USA

Phone: + 6142928345

Email: Petosa.1@osu.edu

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