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. Lancet. 2012; 380(9838):219–229. DOI:
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 J Sports Sci. 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. Prev Med. 2015; 77:11–16. DOI:
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. Appl Psychol. 2008; 57(1):1–29. DOI:
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 Psychol. 2009; 28(6):702–708. DOI:
10.1037/a0016088.
9. Schwarzer R. Health Action Process Approach (HAPA) as a theoretical framework to understand behavior change. Actualidades en Psicologíia. 2016; 30(121):119–130. DOI:
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. Psychol Health. 2005; 20(2):143–160. DOI:
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 June 27. Available from:
https://d-nb.info/1053653794/34#page=47.
12. Fernández 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. Psychol Health. 2015; 30(8):911–923. DOI:
10.1080/08870446.2015.1006222.
13. Kang H. Statistical considerations in meta-analysis. Hanyang Med Rev. 2015; 35(1):23–32. DOI:
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 Rep. 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. J Epidemiol Community Health. 1998; 52(6):377–384. DOI:
10.1136/jech.52.6.377.
17. Kirk MA, Rhodes RE. Occupation correlates of adults' participation in leisure-time physical activity: A systematic review. Am J Prev Med. 2011; 40(4):476–485. DOI:
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. DOI:
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. DOI:
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. DOI:
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 Psychol Rev. 2016; 10(1):50–66. DOI:
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. Psychol Aging. 2007; 22(3):482–493. DOI:
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. Rehabil Couns Bull. 2015; 59(1):30–42. DOI:
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. Psychol Sport Exerc. 2014; 15(5):516–520. DOI:
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. DOI:
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. Int Rev Sport Exerc Psychol. 2017; 10(1):50–83. DOI:
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.