Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
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Effects of the Variables related to the Health Action Process Approach Model on Physical Activity: A Systematic Literature Review and Meta-analysis

신체활동에 대한 건강행동과정접근모델(Health Action Process Approach Model) 관련 변인의 효과: 체계적 문헌고찰 및 메타분석

  • 최윤 (이화여자대학교 대학원) ;
  • 양숙자 (이화여자대학교 간호대학) ;
  • 송혜영 (이화여자대학교 대학원)
  • Received : 2018.02.13
  • Accepted : 2018.08.21
  • Published : 2018.09.30
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Abstract

Purpose: The purpose of this study is to identify effects of the variables of Health Action Process Approach (HAPA) Model on physical activity. Methods: This study has conducted a systematic literature review and meta-analysis. Sixteen articles were searched through electronic databases (PsycINFO, PubMed, CINAHL, Web of science, Science Direct, RISS, KMBASE, KoreaMed, KISS, DBpia) and additional journals from 2000 to July, 2017. To estimate the effect size (ES), the meta-analysis of the studies was performed by using Comprehensive Meta-Analysis programs. Results: The overall effect size of the variables of HAPA on physical activity was median (ES=.28). Of the core variables of HAPA model, action control (ES=.43) showed the largest effect size, followed by coping self-efficacy (ES=.31) and planning (ES=.31).Additional variables were identified as preparatory behavior (ES=.39) and past physical activity (ES=.24). Through the moderator effect analysis, the effect size was higher in the volitional phase than in the motivational phase, and higher in the healthy group than in the patient group. The higher the proportion of males and the lower the age, the larger the effect size. Conclusion: This finding shows empirical evidence that all core variables of the HAPA model are useful for predicting physical activity. We propose the use of the HAPA model to develop physical activity promotion intervention.

Keywords

References

  1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. The lancet. 2012;380(9838):219-229. https://doi.org/10.1016/S0140-6736(12)61031-9
  2. World Health Organization. Global health risks: mortality and burden of disease attributable to selected major risks. Geneva, Switzerland: WHO; 2009. 62 p.
  3. World Health Organization. Global recommendations on physical activity for health. Geneva, Switzerland: WHO; 2010. 59 p.
  4. Kown YM, Cho OS. An investigation on operational definition of regular physical activity: A systematic review. Korean Journal of Sports Science. 2015;24(6):1339-1350.
  5. Milton K, Gale J, Stamatakis E, Bauman A. Trends in prolonged sitting time among European adults: 27 country analysis. Preventive Medicine. 2015;77:11-16. https://doi.org/10.1016/j.ypmed.2015.04.016
  6. Schwarzer R. Modeling health behavior change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology. 2008;57(1):1-29. https://doi.org/10.1111/j.1464-0597.2007.00325.x
  7. Bae SS. Theory and approach method of health promotion. Seoul, Korea: Gyechuk Munwhasa; 2012. 524 p.
  8. Scholz U, Roger K, Sonja P. Predicting behavioral intentions and physical exercise: A test of the health action process approach at the intrapersonal level. Health Psychology. 2009;28 (6):702-708. https://doi.org/10.1037/a0016088
  9. Schwarzer R. Health Action Process Approach (HAPA) as a theoretical framework to understand behavior change. Actualidades en Psicologiia. 2016;30(121):119-130. https://doi.org/10.15517/ap.v30i121.23458
  10. Sniehotta FF, Scholz U, Schwarzer R. Bridging the intentionbehaviour gap: Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise. Psychology & Health. 2005;20(2):143-160. https://doi.org/10.1080/08870440512331317670
  11. Gholami MN, Knoll N, Schwarzer R. Application of the Health Action Process Approach to Physical Activity: a meta Analysis [Internet]. Self Regulation and Health Behavior Across the Life Span. 2013[cited 2014 Juni 27]. Available from: https://d-nb.info/1053653794/34#page=47
  12. Fernandez BR, Fleig L, Godinho CA, Montenegro EM, Knoll N, Schwarzer R. Action control bridges the planning behaviour gap: A longitudinal study on physical exercise in young adults. Psychology & Health. 2015;30(8):911-923. https://doi.org/10.1080/08870446.2015.1006222
  13. Kang H. Statistical considerations in meta-analysis. Hanyang Medical Reviews. 2015;35(1):23-32. https://doi.org/10.7599/hmr.2015.35.1.23
  14. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Introduction to meta analysis West Sussex, UK: Wiley; 2009. 421 p.
  15. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports. 1985;100(2): 126-131.
  16. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. Journal of Epidemiology & Community Health. 1998; 52(6):377-384. https://doi.org/10.1136/jech.52.6.377
  17. Kirk MA, Rhodes RE. Occupation correlates of adults' participation in leisure-time physical activity: A systematic review. American Journal of Preventive Medicine. 2011;40(4):476-485. https://doi.org/10.1016/j.amepre.2010.12.015
  18. Anderson JC, Gerbing DW. Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin. 1988;103(3):411-423. https://doi.org/10.1037/0033-2909.103.3.411
  19. Gordis L. Epidemiology. 4th ed. Philadelphia, US: Saunders Elsevier; 2009. 375 p.
  20. Duval S, Tweedie R. Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta analysis. Biometrics. 2000;56(2):455-463. https://doi.org/10.1111/j.0006-341X.2000.00455.x
  21. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. British Medical Journal. 2003; 327(7414):557-560. https://doi.org/10.1136/bmj.327.7414.557
  22. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Mahwah. NJ: Lawrence Earlbaum Associates; 1988. 567 p.
  23. Gourlan M, Bernard P, Bortolon C, Romain AJ, Lareyre O, Carayol M, et al. Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials. Health psychology review. 2016;10(1):50-66. https://doi.org/10.1080/17437199.2014.981777
  24. Renner B, Spivak Y, Kwon S, Schwarzer R. Does age make a difference? Predicting physical activity of South Koreans. Psychology and Aging. 2007;22(3):482-493. https://doi.org/10.1037/0882-7974.22.3.482
  25. Johnson ET, Lynch RT, Chan F, Bezyak J, Mahr M. Expanding the health action and process approach to predict physical activity in African Americans with HIV/AIDS: A hierarchical regression analysis. Rehabilitation Counseling Bulletin. 2015;59 (1):30-42. https://doi.org/10.1177%2F0034355215573794 https://doi.org/10.1177/0034355215573794
  26. Barz M, Parschau L, Warner LM, Lange D, Fleig L, Knoll N, et al. Planning and preparatory actions facilitate physical activity maintenance. Psychology of Sport and Exercise. 2014;15(5): 516-520. https://doi.org/10.1016/j.psychsport.2014.05.002
  27. Chiu CY, Lynch RT, Chan F, Berven NL. The Health Action Process Approach as a motivational model for physical activity self management for people with multiple sclerosis: A path analysis. Rehabilitation Psychology. 2011;56(3):171-181. https://doi.org/10.1037/a0024583
  28. Scarapicchia TMF, Amireault S, Faulkner G, Sabiston CM, Sabiston CM. Social support and physical activity participation among healthy adults: A systematic review of prospective studies. International Review of Sport and Exercise Psychology, 2017;10(1):50-83. https://doi.org/10.1080/1750984X.2016.1183222
  29. World Health Organization. Global status report on noncommunicable disease 2014. Geneva, Switzerland: WHO; 2015. 279 p.
  30. Korea Centers for Disease Control & Prevention. 2016 Health behavior and chronic disease statistics. Cheongju, South Korea: KCDC; 2017. 58 p.