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Analysis on Influencing Factors of Adolescents’ Physical Activity from the Perspective of Social Cognitive Theory

Jianxiu Liu, Borui Shang, Yi Yin, Ming Yang, Muchuan Zeng, Yao Zhang, Xindong Ma

Article ID: 1394
Vol 5, Issue 1, 2020, Article identifier:

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Abstract

Abstract: Objective: To make a systematic review and meta-analysis of the literature on the influencing factors of adolescent physical activity from the perspective of social cognitive theory (SCT) model. Methods: the databases at home and abroad were searched, and 18 literatures meeting the requirements were included. The effect quantities were combined by Stata 15.0 software and analyzed by subgroup. Results: (1) SCT model could predict physical activity in a moderate degree (R2 = 17%, P < 0.01, z = 7.59). (2) Meta-analysis of the literature including self-efficacy, barrier self-efficacy, social support and social status showed that these factors were significantly correlated with physical activity (N ≥ 75%). (3) Influenced by different regions, gender and statistical methods, there are heterogeneity among the research results. Conclusion: SCT model can predict adolescent physical activity to a moderate extent; self efficacy, barriers self-efficacy, social support and social status are the key indicators to predict physical activity; affected by different regions, gender and cultural environment, the prediction results of SCT model on adolescent physical activity are different.


Keywords

Social cognitive theory; Physical activity; Teenagers; Influencing factors; Systematic overview; Meta-analysis

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References

1. Cipriani K, Richardson C, Roberts G. Family and Community Involvement in the Comprehensive School Physical Activity Program. Journal of Physical Education Recreation & Dance 2012; 83(7): 20-26.

2. Koring M, Richert J, Parchau L, et al. A Combined Planning and Self-Efficacy Intervention to Promote Physical Activity: A Multiple Mediation Analysis. Psychology Health & Medicine 2012; 17(4): 488-498.

3. Bankart J, Khunti K, Stone MA, et al. Physical Activity and Sedentary Behaviors of South Asian and White European Children in Inner City Secondary Schools in the UK. Family Practice 2007; 24(3): 237-244.

4. Black LI, Clarke TC, Barnes PM, et al. Use of Complementary Health Approaches Among Children Aged 4-17 Years in the United States: National Health Interview Survey, 2007-2012. National Health Statistics

5. Reports 2015; (78): 1-19.

6. Santos MP, Gomes H, Mota J. Physical Activity and Sedentary Behaviors in Adolescents. Annals of Behavioral Medicine 2005; 30(1): 21-24.

7. Patnode CD, Lytle LA, Erickson DJ, et al. Physical Activity and Sedentary Activity Patterns Among Children and Adolescents: A Latent Class Analysis Approach. Journal of Physical Activity and Health 2011;

8. (4): 457-467.

9. Sisson SB, Broyles ST, Baker BL, et al. Screen Time, Physical Activity, and Overweight in U.S. Youth: National Survey of Children’s Health 2003. Journal of Adolescent Health 2010; 47(3): 309-311.

10. Brodersen NH, Steptoe A, Boniface DR, et al. Trends in Physical Activity and Sedentary Behavior in Adolescence: Ethnic and Socioeconomic Differences. British Journal of Sports Medicine 2007; 41(3): 140-144.

11. Dai J, Chen H. Research on the Factors Affecting Adolescents’ Extracurricular Physical Activities from the Perspective of Social Ecological Theory. Journal of Capital University of Physical Education and Sports

12. ; 30(4): 371-377.

13. Hu Y, Tang Y, Zhang J, et al. Research of Parent Factors Associated with Adolescents’ Moderate-to-Vigorous Physical Activity. China Sport Science and Technology 2017; 53(3): 14-21.

14.

15. Wang J, Yu C. Scale and Norm of Adolescent Students’ Basic Psychological Need Satisfaction in Physical Exercise. Journal of Xi’an Physical Education University 2019; 36(3): 333-341.

16.

17. Cheng Y, Dong B. Influence of Exercise Atmosphere and Subjective Experience on Leisure Physical Exercise of Undergraduates. Journal of Tianjin University of Sport 2018; 33(2): 177-184.

18.

19. Han H, Zheng J. A Systematic Review of Related Research on Adolescents’ Physical Activity in Western Countries Based on the Perspective of Social-ecology. China Sport Science 2016; 36(5): 62-70.

20.

21. Wang F, Wang Y, Tan Z. The Influence of Partner Support Behavior on Adolescents’ Physical Activity. China Sports Science and Technology 2018; 54(5): 18-24.

22. Boulton ER, Horne M, Todd C. Multiple Influences on Participating in Physical Activity in Older Age: Developing a Social Ecological Approach. Health Expectations 2018; 21(1): 239-248.

23.

24. Chevance G, Caudroit J, Romain AJ, et al. The Adoption of Physical Activity and Eating Behaviors Among Persons with Obesity and in the General Population: The Role of Implicit Attitudes Within the Theory of

25. Planned Behavior. Psychology, Health & Medicine 2017; 22(3): 319-324.

26. Haegele JA, Hodge SR, Kozub FM. Beliefs about Physical Activity and Sedentary Behaviors of Adults with Visual Impairments. Disability and Health Journal 2017; 10(4): 571-579.

27.

28. Taylor N, Conner M, Lawton R. The Impact of Theory on the Effectiveness of Worksite Physical Activity Interventions: A Meta-Analysis and Meta-Regression. Health Psychology Review 2012; 6(1): 33-73.

29.

30. Bandura A. Social Foundation of Thought and Action: A Social Cognitive Theory. Englewood Cliffs: Prentice Hall; 1986. p. 1-21.

31.

32. Bandura A. Health Promotion from the Perspective of Social Cognitive Theory. Psychology & Health 1998; 13(4): 623-649.

33.

34. Bandura A. Social Cognitive Theory: An Agentic Perspective. Asian Journal of Social Psychology 1999; 2(1): 21-41.

35.

36. Bandura A. Health Promotion by Social Cognitive Means. Health Education & Behavior 2004; 31(2): 143.

37. Lee LT, Jung SE, Bowen PG, et al. Understanding the Dietary Habits of Black Men with Diabetes. The Journal for Nurse Practitioners 2019; 42(3): 423-439.

38. Nairn RC, Merluzzi TV. Enhancing Coping Skills for Persons with Cancer Utilizing Mastery Enhancement: A Pilot Randomized Clinical Trial. Journal of Behavioral Medicine 2019; 42(3): 423-439.

39. Roberts W, Fillmore MT. Curbing the DUI Offender’s Self-Efficacy to Drink and Drive: A Laboratory Study. Drug and Alcohol Dependence 2017; 172: 73-79.

40. Moher D, Liberati A, Tetzlaff J, et al. Preferred Reporting Items for Systematic Reviews and Meta Analyses: The PRISMA Statement. Annals of Internal Medicine 2009; 3(3): e123.

41. Field AP, Gillett R. How to Do a Meta-Analysis. British Journal of Mathematical and Statistical Psychology 2010; 63(3): 665-694.

42. Hedges LV, Vevea JL. Fixed- and Random-Effects Models in Meta-Analysis. Psychological Methods 1998; 3(4): 486-504.

43. Begg CB, Mazumdar M. Operating Characteristics of a Rank Correlation Test for Publication Bias. Biometrics 1994; 50(4): 1088.

44.

45. Rosenthal R. The File Drawer Problem and Tolerance for Null Results. Psychological Bulletin 1979; 86(3): 638-641.

46. Sharma M, Wagner DI, Wilkerson J. Predicting Childhood Obesity Prevention Behaviors Using Social Cognitive Theory. International Quarterly of Community Health Education 2005; 24(3): 191-203.

47. Petosa RL, Hortz BV, Cardina CE, et al. Social Cognitive Theory Variables Associated with Physical Activity Among High School Students. International Journal of Sports Medicine 2005; 26(2): 158-163.

48. Motl RW, Dishman RK, Ward DS, et al. Perceived Physical Environment and Physical Activity Across One Year Among Adolescent Girls: Self-efficacy as a Possible Mediator? Journal of Adolescent Health 2005; 37(5): 403-408.

49. Roberts V, Maddison R, Magnusson J, et al. Adolescent Physical Activity: Does Implementation Intention have a Role? Journal of Physical Activity & Health 2010; 7(4): 497-507.

50. Taymoori P, Rhodes RE, Berry TR. Application of a Social Cognitive Model in Explaining Physical Activity in Iranian Female Adolescents. Health Education Research 2008; 25(2): 257-267.

51. Bagherniya M, Sharma M, Mostafavi F, et al. Application of Social Cognitive Theory in Predicting Childhood Obesity Prevention Behaviors in Overweight and Obese Iranian Adolescents. International Quarterly of Community Health Education 2015; 35(2): 133-147.

52. Martin JJ, Mccaughtry N, Shen B. Predicting Physical Activity in Arab American School Children. Journal of Teaching in Physical Education 2008; 27(2): 205-219.

53. Martin JJ, Mccaughtry N. Using Social Cognitive Theory to Predict Physical Activity in Inner-City African American School Children. Journal of Sport and Exercise Psychology 2008; 30(4): 378-391.

54. Martin JJ, Mccaughtry N. Predicting Physical Activity in Inner-City Hispanic American Children. Hispanic Health Care International 2008; 6(6): 150-158.

55. Martin JJ, Mccaughtry N, Flory S, et al. Using Social Cognitive Theory to Predict Physical Activity and Fitness in Underserved Middle School Children. Research Quarterly for Exercise and Sport 2011; 82(2):

56. -255.

57. Strauss RS, Rodzilsky D, Burack G, et al. Psychosocial Correlates of Physical Activity in Healthy Children. Archives of Pediatrics & Adolescent Medicine 2001; 155(8): 897-902.

58. Ramirez E, Kulinna PH, Cothran D. Constructs of Physical Activity Behavior in Children: The Usefulness of Social Cognitive Theory. Psychology of Sport & Exercise 2012; 13(3): 303-310.

59. Lubans DR, Okely AD, Morgan PJ, et al. Description and Evaluation of a Social Cognitive Model of Physical Activity Behavior Tailored for Adolescent Girls. Health Education Research 2012; 27(1): 115-128.

60. Gao Z. Urban Latino School Children’s Physical Activity Correlates and Daily Physical Activity Participation: A Social Cognitive Approach. Psychology Health & Medicine 2012; 17(5): 542-550.

61. Dewar DL, Plotnikoff RC, Morgan PJ, et al. Testing Social-Cognitive Theory to Explain Physical Activity Change in Adolescent Girls from Low-Income Communities. Research Quarterly for Exercise and Sport

62. ; 84(4): 483-491.

63. Trost SG, Pate RR, Saunders R. A Prospective Study of The Determinants of Physical Activity in Rural Fifthgrade Children. Preventive Medicine 1997; 26(2): 257-263.

64. Winters ER, Petosa RL, Charlton TE. Using Social Cognitive Theory to Explain Discretionary, “Leisuretime” Physical Exercise Among High School Students. Journal of Adolescent Health 2003; 32(6): 436-442.

65. Hong SA, Peltzer K, Wimonpeerapattana W. Impact of Self-Efficacy and Parenting Practice on Physical Activity Among School Children. Nagoya Journal of Medical Science 2017; 79(3): 339-349.

66. Teixeira PJ, Carraça EV, Markland D, et al. Exercise, Physical Activity, and Self-Determination Theory: A Systematic Review. International Journal of Behavioral Nutrition & Physical Activity 2012; 9(1): 78.

67. Cohen J. Statistical Power Analysis for the Behavioral Sciences. Technimetrics 1988; 31(4): 499-500.

68. Falk RF, Miller NB. A Primer for Soft Modeling. Akron: University of Akron Press; 1992. p. 35-51.

69. Hamilton K, Warner LM, Schwarzer R. The Role of Self-Efficacy and Friend Support on Adolescent Vigorous Physical Activity. Health Education & Behavior 2017; 44(1): 175-181.

70. Petosa RL, Suminski R, Hortz B. Predicting Vigorous Physical Activity Using Social Cognitive Theory. American Journal of Health Behavior 2003; 27(4): 301-310.

71. Mceachan R, Conner M, Taylor NJ, et al. Prospective Prediction of Health-Related Behaviors with the Theory of Planned Behavior: A Meta-Analysis. Health Psychology Review 2011; 5(2): 97-144.

72. Rhodes RE, Plotnikoff RC. Can Current Physical Activity Act as a Reasonable Proxy Measure of Future Physical Activity? Evaluating Cross-Sectional and Passive Prospective Designs with the Use of Social

73. Cognition Models. Preventive Medicine 2005; 40(5): 547-555.


DOI: https://doi.org/10.18063/esp.v5.i1.1394
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