The Influence of Pre-motivational Factors on Behavior Via Motivational Factors: a Test of the I-Change Model

Overview

Journal BMC Psychol

Publisher Biomed Central

Specialty Psychology

Date 2019 Feb 22

PMID 30786921

Citations 18

Authors

Stefanie Kasten

Liesbeth van Osch

Math Candel

Hein de Vries

Affiliations

Soon will be listed here.

Abstract

Background: The I-Change Model for explaining motivational and behavioral change postulates that an awareness phase precedes the motivation phase of a person, and that effects of pre-motivational factors on behavior are partially mediated by motivational factors. This study tests this assumption with regard to physical activity.

Methods: Observational longitudinal survey study (baseline, three months, six months) amongst Dutch adults (N = 2434). Structural equation modelling was used to investigate whether the influence of (1) knowledge, (2) cognizance, (3) cues, and (4) risk perception separately on intention and physical activity were mediated by motivational factors (i.e. attitudes, self-efficacy and social influence). Subsequently, a comprehensive model including all pre-motivational factors was estimated to test the same assumption for all pre-motivational factors simultaneously.

Results: The results indicate that the associations of cognizance, risk perception and cues with behavior were fully mediated by motivational factors when tested separately. When tested simultaneously only the effect of cognizance remained. Cognizance was most strongly associated with positive attitudes β = .13, p < .01, self-efficacy β = .13, p < .01, and intention β = .14, p < .01. No direct link with behavior was found.

Conclusion: The results suggest that pre-motivational factors are important to form a motivation; however, they do not directly influence behavior. The inclusion of factors such as risk perception and cognizance would help to get a better understanding of motivation formation and behavior.

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References

Schwarzer R, Renner B . Social-cognitive predictors of health behavior: action self-efficacy and coping self-efficacy. Health Psychol. 2000; 19(5):487-95. View

Sallis J, Owen N, Fotheringham M . Behavioral epidemiology: a systematic framework to classify phases of research on health promotion and disease prevention. Ann Behav Med. 2001; 22(4):294-8. DOI: 10.1007/BF02895665. View

Ronda G, van Assema P, Brug J . Stages of change, psychological factors and awareness of physical activity levels in The Netherlands. Health Promot Int. 2001; 16(4):305-14. DOI: 10.1093/heapro/16.4.305. View

Marshall S, Biddle S . The transtheoretical model of behavior change: a meta-analysis of applications to physical activity and exercise. Ann Behav Med. 2002; 23(4):229-46. DOI: 10.1207/S15324796ABM2304_2. View

Armitage C, Conner M . Efficacy of the Theory of Planned Behaviour: a meta-analytic review. Br J Soc Psychol. 2002; 40(Pt 4):471-99. DOI: 10.1348/014466601164939. View

Bauman A, Sallis J, Dzewaltowski D, Owen N . Toward a better understanding of the influences on physical activity: the role of determinants, correlates, causal variables, mediators, moderators, and confounders. Am J Prev Med. 2002; 23(2 Suppl):5-14. DOI: 10.1016/s0749-3797(02)00469-5. View

Trost S, Owen N, Bauman A, Sallis J, Brown W . Correlates of adults' participation in physical activity: review and update. Med Sci Sports Exerc. 2002; 34(12):1996-2001. DOI: 10.1097/00005768-200212000-00020. View

Adams J, White M . Are activity promotion interventions based on the transtheoretical model effective? A critical review. Br J Sports Med. 2003; 37(2):106-14. PMC: 1724627. DOI: 10.1136/bjsm.37.2.106. View

Craig C, Marshall A, Sjostrom M, Bauman A, Booth M, Ainsworth B . International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003; 35(8):1381-95. DOI: 10.1249/01.MSS.0000078924.61453.FB. View

10.

Baranowski T, Cullen K, Nicklas T, Thompson D, Baranowski J . Are current health behavioral change models helpful in guiding prevention of weight gain efforts?. Obes Res. 2003; 11 Suppl:23S-43S. DOI: 10.1038/oby.2003.222. View

11.

Bogers R, Brug J, van Assema P, Dagnelie P . Explaining fruit and vegetable consumption: the theory of planned behaviour and misconception of personal intake levels. Appetite. 2004; 42(2):157-66. DOI: 10.1016/j.appet.2003.08.015. View

12.

Juniper K, Oman R, Hamm R, Kerby D . The relationships among constructs in the health belief model and the transtheoretical model among African-American college women for physical activity. Am J Health Promot. 2004; 18(5):354-7. DOI: 10.4278/0890-1171-18.5.354. View

13.

Kim C, Hwang A, Yoo J . The impact of a stage-matched intervention to promote exercise behavior in participants with type 2 diabetes. Int J Nurs Stud. 2004; 41(8):833-41. DOI: 10.1016/j.ijnurstu.2004.03.009. View

14.

de Vries H, Mesters I, van de Steeg H, Honing C . The general public's information needs and perceptions regarding hereditary cancer: an application of the Integrated Change Model. Patient Educ Couns. 2005; 56(2):154-65. DOI: 10.1016/j.pec.2004.01.002. View

15.

de Vries H, Lezwijn J, Hol M, Honing C . Skin cancer prevention: behaviour and motives of Dutch adolescents. Eur J Cancer Prev. 2005; 14(1):39-50. DOI: 10.1097/00008469-200502000-00006. View

16.

Warburton D, Nicol C, Bredin S . Health benefits of physical activity: the evidence. CMAJ. 2006; 174(6):801-9. PMC: 1402378. DOI: 10.1503/cmaj.051351. View

17.

Penedo F, Dahn J . Exercise and well-being: a review of mental and physical health benefits associated with physical activity. Curr Opin Psychiatry. 2006; 18(2):189-93. DOI: 10.1097/00001504-200503000-00013. View

18.

Dijkstra A, Conijn B, de Vries H . A match-mismatch test of a stage model of behaviour change in tobacco smoking. Addiction. 2006; 101(7):1035-43. DOI: 10.1111/j.1360-0443.2006.01419.x. View

19.

Nelson M, Rejeski W, Blair S, Duncan P, Judge J, King A . Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Circulation. 2007; 116(9):1094-105. DOI: 10.1161/CIRCULATIONAHA.107.185650. View

20.

van Sluijs E, Griffin S, van Poppel M . A cross-sectional study of awareness of physical activity: associations with personal, behavioral and psychosocial factors. Int J Behav Nutr Phys Act. 2007; 4:53. PMC: 2186356. DOI: 10.1186/1479-5868-4-53. View