Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-10T05:24:24.951Z Has data issue: false hasContentIssue false

46 - The Science of Behavior Change: The Road Ahead

from Part III - Behavior Change Interventions: Practical Guides to Behavior Change

Published online by Cambridge University Press:  04 July 2020

By
Martin S. Hagger ,
Linda D. Cameron ,
Kyra Hamilton ,
Nelli Hankonen  and
Taru Lintunen
Edited by
Martin S. Hagger ,
Linda D. Cameron ,
Kyra Hamilton ,
Nelli Hankonen  and
Taru Lintunen
Martin S. Hagger
Affiliation:
University of California, Merced
Linda D. Cameron
Affiliation:
University of California, Merced
Kyra Hamilton
Affiliation:
Griffith University
Nelli Hankonen
Affiliation:
University of Helsinki
Taru Lintunen
Affiliation:
University of Jyväskylä
Get access

Summary

The Handbook of Behavior Change is the first wide-ranging compendium of theory- and evidence-based research and practice on behavior change. It provides scientists, students, and practitioners with the current evidence on behavior change and expert advice on how to develop, evaluate, and implement behavior change interventions. The handbook also sets an agenda for future research on behavior change theory and practice across multiple behaviors, contexts, and populations. This chapter outlines emerging issues and future research directions arising from the handbook. The chapter stresses the importance of theory development, including the need for greater emphasis on ecological and social theories; clearer descriptions and operationalizations of behavior change theories; and increased application of interdisciplinary approaches. Future research on intervention development should conduct more comprehensive intervention fidelity assessments; adopt novel means to improve the translation, feasibility, and optimization of interventions; ensure consideration of ethical issues in behavior change research; routinely evaluate mechanisms of action in behavior change interventions; and apply complex systems approaches to behavior change. “Best-practice” guidance on behavior change should consider emerging methods and approaches to behavior change; implement trials to evaluate the long-term maintenance of behavior change; and develop core curricula on behavior change to educate the next generation of scientists and practitioners.

Keywords

behavior change prioritiessocial and ecological theoriesimprove intervention descriptionsinterdisciplinary approachesfidelityfeasibilityoptimizationmechanisms of changecomplex systems approachbehavior change maintenance
Type
Chapter
Information
The Handbook of Behavior Change , pp. 677 - 699
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abraham, C. (2012). Mapping change mechanisms onto behaviour change techniques: A systematic approach to promoting behaviour change through text. In Abraham, C. & Kools, M. (Eds.), Writing Health Communication: An Evidence Based Guide (pp. 99–116). Thousand Oaks, CA: SAGE.Google Scholar
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-TGoogle Scholar
Bandura, A. (1986). Social Foundations of Thought and Action: A Social-Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
Bartholomew, L. K., & Mullen, P. D. (2011). Five roles for using theory and evidence in the design and testing of behavior change interventions. Journal of Public Health Dentistry, 71, S20–S33. https://doi.org/10.1111/j.1752-7325.2011.00223.xCrossRefGoogle ScholarPubMed
Bartholomew Eldredge, L. K., Markham, C. M., Ruiter, R. A. C., Fernández, M. E., Parcel, G. S., & Kok, G. (2016). Planning Health Promotion Programs: An Intervention Mapping Approach (4th ed.). San Francisco, CA: Jossey-Bass.Google Scholar
Bellg, A. J., Borrelli, B., Resnick, B. et al. (2004). Special NIH committee report – Enhancing treatment fidelity in health behavior change studies: Best practices and recommendations from the NIH behavior change consortium. Health Psychology, 23, 443–451.Google Scholar
Borland, R. (2017). CEOS theory: A comprehensive approach to understanding how to maintain behaviour change. Applied Psychology: Health and Well-Being, 9, 3–35. https://doi.org/10.1111/aphw.12083Google ScholarPubMed
Bronfenbrenner, U. (1977). Toward an experimental ecology of human development. American Psychologist, 32, 513–531. https://doi.org/10.1037/0003-066X.32.7.513Google Scholar
BRP (Behavioral Research Program). (2019). Behavioral Research Program of the National Cancer Institute’s Division of Cancer Control and Population Sciences. Website. https://cancercontrol.cancer.gov/brp/about.htmlGoogle Scholar
Bullock, J. G., Green, D. P., & Ha, S. E. (2010). Yes, but what’s the mechanism? (don’t expect an easy answer). Journal of Personality and Social Psychology, 98, 550–558. https://doi.org/10.1037/a0018933Google Scholar
Burke, B. L., Arkowitz, H., & Menchola, M. (2003). The efficacy of motivational interviewing: A meta-analysis of controlled clinical trials. Journal of Consulting and Clinical Psychology, 71, 843–861. https://doi.org/10.1037/0022-006x.71.5.843Google Scholar
Butler, A. C., Chapman, J. E., Forman, E. M., & Beck, A. T. (2006). The empirical status of cognitive-behavioral therapy: A review of meta-analyses. Clinical Psychology Review, 26, 17–31. https://doi.org/10.1016/j.cpr.2005.07.003Google Scholar
Carey, R. N., Connell, L. E., Johnston, M. et al. (2019). Behavior change techniques and their mechanisms of action: A synthesis of links described in published intervention literature. Annals of Behavioral Medicine, 53, 693–707. https://doi.org/10.1093/abm/kay078Google Scholar
Cawley, J., Thow, A. M., Wen, K., & Frisvold, D. (2019). The economics of taxes on sugar-sweetened beverages: A review of the effects on prices, sales, cross-border shopping, and consumption. Annual Review of Nutrition, 39, 317–338. https://doi.org/10.1146/annurev-nutr-082018-124603Google Scholar
Connell, L. E., Carey, R. N., de Bruin, M. et al. (2019). Links between behavior change techniques and mechanisms of action: An expert consensus study. Annals of Behavioral Medicine, 53, 708–720. https://doi.org/10.1093/abm/kay082Google Scholar
Conner, M. T., & Norman, P. (2015). Predicting and changing health behaviour: A social cognition approach. In Conner, M. T. & Norman, P. (Eds.), Predicting and Changing Health Behaviour: Research and Practice with Social Cognition Models (3rd ed., pp. 1–29). Maidenhead: Open University Press.Google Scholar
>Cross, A., & Sheffield, D. (2019). Mental contrasting for health behaviour change: A systematic review and meta-analysis of effects and moderator variables. Health Psychology Review, 13, 209–225. https://doi.org/10.1080/17437199.2019.1594332Google Scholar
Czajkowski, S. M., Powell, L. H., Adler, N. et al. (2015). From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychology, 34, 971–982. https://doi.org/10.1037/hea0000161Google Scholar
Damschroder, L. J., Aron, D. C., Keith, R. E., Kirsh, S. R., Alexander, J. A., & Lowery, J. C. (2009). Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implementation Science, 4, 50. https://doi.org/10.1186/1748-5908-4-50Google Scholar
Davis, R., Campbell, R., Hildon, Z., Hobbs, L., & Michie, S. (2015). Theories of behaviour and behaviour change across the social and behavioural sciences: A scoping review. Health Psychology Review, 9, 323–344. https://doi.org/10.1080/17437199.2014.941722Google Scholar
Daw, N. D., Gershman, S. J., Seymour, B., Dayan, P., & Dolan, R. J. (2011). Model-based influences on humans’ choices and striatal prediction errors. Neuron, 69, 1204–1215. https://doi.org/10.1016/j.neuron.2011.02.027Google Scholar
de Bruin, M., Sheeran, P., Kok, G. et al. (2012). Self-regulatory processes mediate the intention-behavior relation for adherence and exercise behaviors. Health Psychology, 31, 695–703. https://doi.org/10.1037/a0027425Google Scholar
Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. New York: Plenum Press.Google Scholar
Durlak, J. A., & DuPre, E. P. (2008). Implementation matters: A review of research on the influence of implementation on program outcomes and the factors affecting implementation. American Journal of Community Psychology, 41, 327. https://doi.org/10.1007/s10464-008-9165-0CrossRefGoogle ScholarPubMed
Dzewaltowski, D. A., Noble, J. M., & Shaw, J. M. (1990). Physical activity participation: Social cognitive theory vs. the theories of reasoned action and planned behavior. Journal of Sport and Exercise Psychology, 12, 388–405.CrossRefGoogle Scholar
Engel, G. (1977). The need for a new medical model: A challenge for biomedicine. Science, 196, 129–136. https://doi.org/10.1126/science.847460Google Scholar
Fairchild, A. J., & McDaniel, H. L. (2017). Best (but oft-forgotten) practices: Mediation analysis. The American Journal of Clinical Nutrition, 105, 1259–1271. https://doi.org/10.3945/ajcn.117.152546Google Scholar
Freedland, K. E. (2019). The Behavioral Medicine Research Council: Its origins, mission, and methods. Health Psychology, 38, 277–289. https://doi.org/10.1037/hea0000731Google Scholar
Fried, E., Robinaugh, D., Quinn, K., & Tiokhin, L. (2019). Resource list: Formalizing theories in social sciences. https://osf.io/n9zta/Google Scholar
Gibbons, F. X., Gerrard, M., Blanton, H., & Russell, D. W. (1998). Reasoned action and social reaction: Willingness and intention as independent predictors of health risk. Journal of Personality and Social Psychology, 74, 1164–1180.Google Scholar
Gillison, F. B., Stathi, A., Reddy, P. et al. (2015). Processes of behavior change and weight loss in a theory-based weight loss intervention program: A test of the process model for lifestyle behavior change. International Journal of Behavioral Nutrition and Physical Activity, 12, 2. https://doi.org/10.1186/s12966-014-0160-6Google Scholar
Glasgow, R. E., Harden, S. M., Gaglio, B. et al. (2019). RE-AIM planning and evaluation framework: Adapting to new science and practice with a 20-year review. Frontiers in Public Health, 7. https://doi.org/10.3389/fpubh.2019.00064Google Scholar
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89, 1322–1327.Google Scholar
Hagger, M. S. (2009). Theoretical integration in health psychology: Unifying ideas and complimentary explanations. British Journal of Health Psychology, 14, 189–194. https://doi.org/10.1348/135910708X397034Google Scholar
Hagger, M. S. (2014). Avoiding the “déjà-variable” phenomenon: Social psychology needs more guides to constructs. Frontiers in Psychology, 5, 52. https://doi.org/10.3389/fpsyg.2014.00052Google Scholar
Hagger, M. S., & Chatzisarantis, N. L. D. (2014). An integrated behavior-change model for physical activity. Exercise and Sport Sciences Reviews, 42, 62–69. https://doi.org/10.1249/JES.0000000000000008Google Scholar
Hagger, M. S., Moyers, S., McAnally, K., & McKinley, L. E. (2020). Known knowns and known unknowns on behavior change interventions and mechanisms of action. Health Psychology Review, 14, 199–212. https://doi.org/10.1080/17437199.2020.1719184Google Scholar
Hardeman, W., Michie, S., Fanshawe, T., Prevost, T., Mcloughlin, K., & Kinmonth, A. L. (2007). Fidelity of delivery of a physical activity intervention: Predictors and consequences. Psychology and Health, 23, 11–24.Google Scholar
Hargreaves, T. (2011). Practice-ing behaviour change: Applying social practice theory to pro-environmental behaviour change. Journal of Consumer Culture, 11, 79–99. https://doi.org/10.1177/1469540510390500Google Scholar
Harkin, B., Webb, T. L., Chang, B. P. I. et al. (2016). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence. Psychological Bulletin, 142, 198–229. https://doi.org/10.1037/bul0000025Google Scholar
Hawe, P., Shiell, A., & Riley, T. (2009). Theorising Interventions as events in systems. American Journal of Community Psychology, 43, 267–276. https://doi.org/10.1007/s10464-009-9229-9Google Scholar
Heber, E., Ebert, D. D., Lehr, D. et al. (2017). The benefit of web- and computer-based interventions for stress: A systematic review and meta-analysis. Journal of Medical Internet Research, 19, e32. https://doi.org/10.2196/jmir.5774Google Scholar
Heckhausen, H., & Gollwitzer, P. M. (1987). Thought contents and cognitive functioning in motivational and volitional states of mind. Motivation and Emotion, 11, 101–120. https://doi.org/10.1007/BF00992338Google Scholar
Hedström, P., & Ylikoski, P. (2010). Causal mechanisms in the social sciences. Annual Review of Sociology, 36, 49–67. https://doi.org/10.1146/annurev.soc.012809.102632Google Scholar
Heino, M. T. J., Noonan, C., Knittle, K., & Hankonen, N. (2019). Studying behaviour change mechanisms under complexity. Unpublished manuscript, University of Helsinki.Google Scholar
Hennessy, E. A., Johnson, B. T., Acabchuk, R. L., McCloskey, K., & Stewart-James, J. (2020). Self-regulation mechanisms in health behaviour change: A systematic meta-review of meta-analyses, 2006–2017. Health Psychology Review, 14, 6–42. https://doi.org/10.1080/17437199.2019.1679654Google Scholar
Hofmann, W., & Kotabe, H. (2012). A general model of preventive and interventive self-control. Social and Personality Psychology Compass, 6, 707–722. https://doi.org/10.1111/j.1751-9004.2012.00461.xCrossRefGoogle Scholar
Jetten, J., Haslam, C., & Haslam, S. A. (Eds.). (2012). The Social Cure: Identity, Health and Well-Being. New York: Psychology Press.Google Scholar
Johnson, B. T., Redding, C. A., DiClemente, R. J. et al. (2010). A network-individual-resource model for HIV prevention. AIDS and Behavior, 14, 204–221. https://doi.org/10.1007/s10461-010-9803-zGoogle Scholar
Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus & Giroux.Google Scholar
Kendall, P. C., & Hollon, S. D. (1979). Cognitive-behavioral interventions: Overview and current status. In Kendall, P. C. & Hollon, S. D. (Eds.), Cognitive-Behavioral Interventions: Theory, Research, and Procedures (pp. 1–9). New York: Academic Press.Google Scholar
Kreuter, M. W., Lukwago, S. N., Bucholtz, D. C., Clark, E. M., & Sanders-Thompson, V. (2003). Achieving cultural appropriateness in health promotion programs: Targeted and tailored approaches. Health Education and Behavior, 30, 133–146. https://doi.org/10.1177/1090198102251021Google Scholar
Larsen, K. R., Michie, S., Hekler, E. B. et al. (2016). Behavior change interventions: The potential of ontologies for advancing science and practice. Journal of Behavioral Medicine, 40, 6–22. https://doi.org/10.1007/s10865-016-9768-0Google Scholar
Leventhal, H., Meyer, D., & Nerenz, D. (1980). The common sense model of illness danger. In Rachman, S. (Ed.), Medical Psychology, Vol. 2 (pp. 7–30). New York: Pergamon Press.Google Scholar
Locke, E. A., & Latham, G. P. (2019). The development of goal setting theory: A half century retrospective. Motivation Science, 5, 93–105. https://doi.org/10.1037/mot0000127Google Scholar
Logan, J., & Graham, I. D. (2010). The Ottawa model of research use. In Bucknall, J. R. M. (Ed.), Models and Frameworks for Implementing Evidence-Based Practice: Evidence to Action (pp. 83–108). Oxford: Wiley Blackwell.Google Scholar
Lyons, A. C., & Chamberlain, K. (2017). Critical health psychology. In Gough, B. (Ed.), The Palgrave Handbook of Critical Social Psychology (pp. 533–555). London: Palgrave Macmillan.Google Scholar
Marteau, T. M. (2017). Towards environmentally sustainable human behaviour: Targeting non-conscious and conscious processes for effective and acceptable policies. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 375, 20160371. https://doi.org/10.1098/rsta.2016.0371Google Scholar
May, C., Finch, T., Mair, F. et al. (2007). Understanding the implementation of complex interventions in health care: The normalization process model. BMC Health Services Research, 7, 148. https://doi.org/10.1186/1472-6963-7-148Google Scholar
McLeroy, K. R., Bibeau, D., Steckler, A., & Glanz, K. (1988). An ecological perspective on health promotion programs. Health Education Quarterly, 15, 351–377. https://doi.org/10.1177/109019818801500401Google Scholar
Meehl, P. E. (1990). Why summaries of research on psychological theories are often uninterpretable. Psychological Reports, 66, 195–244. https://doi.org/10.2466/pr0.1990.66.1.195Google Scholar
Michie, S., Aonghusa, P. M., Johnston, M. et al. (2019). The Human Behaviour Change Project. Website. www.humanbehaviourchange.orgGoogle Scholar
Michie, S., Carey, R. N., Johnston, M. et al. (2017). From theory-inspired to theory-based interventions: A protocol for developing and testing a methodology for linking behaviour change techniques to theoretical mechanisms of action. Annals of Behavioral Medicine, 52, 501–512. https://doi.org/10.1007/s12160-016-9816-6Google Scholar
Michie, S., & Johnston, M. (2017). Optimising the value of the evidence generated in implementation science: The use of ontologies to address the challenges. Implementation Science, 12, 131. https://doi.org/10.1186/s13012-017-0660-2Google Scholar
Michie, S., Rothman, A. J., Kelly, M., & de Bruin, M. (2019). Theories and techniques of behaviour change project. https://www.ucl.ac.uk/pals/research/clinical-educational-and-health-psychology/research-groups/behaviour-change-techniques-andGoogle Scholar
Michie, S., Rumsey, N., Fussell, A. et al. (2008). Improving Health: Changing behaviour – NHS Health Trainer Handbook. London: Department of Health.Google Scholar
Michie, S., Thomas, J., Johnston, M. et al. (2017). The human behaviour-change project: Harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation. Implementation Science, 12, 121. https://doi.org/10.1186/s13012-017-0641-5Google Scholar
Michie, S., van Straalen, M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6, 42. https://doi.org/10.1186/1748-5908-6-42Google Scholar
Michie, S., West, R., Campbell, R., Brown, J., & Gainforth, H. (2014). ABC of Behaviour Change Theories. London: Silverback Publishing.Google Scholar
Montaño, D. E., & Kasprzyk, D. (2015). Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. In Glanz, K., Rimer, B. K. & Viswanath, K. (Eds.), Health Behavior and Health Education: Theory, Research, and Practice (5th ed., pp. 95–124). San Francisco, CA: Jossey-Bass.Google Scholar
Moore, G. F., Cambon, L., Michie, S. et al. (2019). Population health intervention research: The place of theories. Trials, 20, 285. https://doi.org/10.1186/s13063-019-3383-7Google Scholar
Moore, G. F., Evans, R. E., Hawkins, J. et al. (2019). From complex social interventions to interventions in complex social systems: Future directions and unresolved questions for intervention development and evaluation. Evaluation, 25, 23–45. https://doi.org/10.1177/1356389018803219Google Scholar
Myers, H. F. (2009). Ethnicity- and socio-economic status-related stresses in context: An integrative review and conceptual model. Journal of Behavioral Medicine, 32, 9–19. https://doi.org/10.1007/s10865-008-9181-4Google Scholar
Naar, S., Czajkowski, S. M., & Spring, B. (2018). Innovative study designs and methods for optimizing and implementing behavioral interventions to improve health. Health Psychology, 37, 1081–1091. https://doi.org/10.1037/hea0000657Google Scholar
National Institutes of Health. (2019). Science of behavior change. Website. https://scienceofbehaviorchange.org/Google Scholar
Oettingen, G. (2012). Future thought and behaviour change. European Review of Social Psychology, 23, 1–63. https://doi.org/10.1080/10463283.2011.643698Google Scholar
Presseau, J., Byrne-Davis, L. M. T., Hotham, S. et al. (2019). Following through on health behaviour change breakthroughs: The synergy between implementation science and health psychology. Unpublished manuscript, University of Ottawa, Canada.Google Scholar
Prestwich, A., Sniehotta, F. F., Whittington, C., Dombrowski, S. U., Rogers, L., & Michie, S. (2014). Does theory influence the effectiveness of health behavior interventions? Meta-analysis. Health Psychology, 33, 465–474. https://doi.org/10.1037/a0032853Google Scholar
Renner, B., Hankonen, N., Ghisletta, P., & Absetz, P. (2012). Dynamic psychological and behavioral changes in the adoption and maintenance of exercise. Health Psychology, 31, 306–315. https://doi.org/10.1037/a0025302CrossRefGoogle ScholarPubMed
Resnicow, K., Baranowski, T., Ahluwalia, J. S., & Braithwaite, R. L. (1999). Cultural sensitivity in public health: Defined and demystified. Ethnicity and Disease, 9.Google Scholar
Rhodes, R. E., Boudreau, F., Weman Josefsson, K., & Ivarsson, A. (2020). Mediators of physical activity behavior change interventions among adults: A systematic review and meta-analysis. Health Psychology Review. https://doi.org/10.1080/17437199.2019.1706614Google Scholar
Rhodes, R. E., McEwan, D., & Rebar, A. L. (2019). Theories of physical activity behaviour change: A history and synthesis of approaches. Psychology of Sport and Exercise, 42, 100–109. https://doi.org/10.1016/j.psychsport.2018.11.010Google Scholar
Rixon, L., Baron, J., McGale, N., Lorencatto, F., Francis, J., & Davies, A. (2016). Methods used to address fidelity of receipt in health intervention research: A citation analysis and systematic review. BMC Health Services Research, 16, 663. https://doi.org/10.1186/s12913-016-1904-6Google Scholar
Rogers, P. J. (2008). Using programme theory to evaluate complicated and complex aspects of interventions. Evaluation, 14, 29–48. https://doi.org/10.1177/1356389007084674Google Scholar
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Psychology, 91, 93–114. https://doi.org/10.1080/00223980.1975.9915803Google Scholar
Rosenstock, I. M. (1974). Historical origins of the health belief model. Health Education Monographs, 2, 328–335.Google Scholar
Schwarzer, R. (2008). Modeling health behaviour change: How to predict and modify the adoption and maintenance of health behaviors. Applied Psychology: An International Review, 57, 1–29. https://doi.org/10.1111/j.1464-0597.2007.00325.xGoogle Scholar
Sheeran, P., Klein, W. M. P., & Rothman, A. J. (2017). Health behavior change: Moving from observation to intervention. Annual Review of Psychology, 68, 573–600 https://doi.org/10.1146/annurev-psych-010416-044007Google Scholar
Skivington, K., Matthews, L., Craig, P. et al. (2018). MRC guidance: Developing and evaluating complex interventions. Updating Medical Research Council guidance to take account of new methodological and theoretical approaches. The Lancet, 392, S2. Meeting abstract: Public Health Science 2018, Belfast, Northern Ireland, November 23, 2018. http://dx.doi.org/10.1016/s0140-6736(18)32865-4Google Scholar
SOBC (Science of Behavior Change Research Network). (2019). Science of Behavior Change Research Network.Google Scholar
Spotswood, F. (Ed.). (2016). Beyond Behaviour Change. Bristol: Bristol University Press.Google Scholar
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8, 220–247. https://doi.org/10.1207/s15327957pspr0803_1Google Scholar
Suls, J., Mogavero, J. N., Falzon, L., Pescatello, L. S., Hennessy, E. A., & Davidson, K. W. (2020). Health behaviour change in cardiovascular disease prevention and management: Meta-review of behavior change techniques to affect self-regulation. Health Psychology Review, 14, 43–65. https://doi.org/10.1080/17437199.2019.1691622Google Scholar
Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behaviour. In Worchel, S. G. & Austin, W. (Eds.), Psychology of Intergroup Relations (2nd ed., pp. 7–24). Chicago: Nelson-Hall.Google Scholar
Thaler, R., & Sunstein, C. R. (2008). Nudge: Improving Decisions about Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar
Tolin, D. F. (2010). Is cognitive–behavioral therapy more effective than other therapies?: A meta-analytic review. Clinical Psychology Review, 30, 710–720. https://doi.org/https://doi.org/10.1016/j.cpr.2010.05.003CrossRefGoogle ScholarPubMed
Toomey, E., Hardeman, W., Hankonen, N. et al. (2019). Focusing on fidelity: Recommendations for improving intervention fidelity within trials of health behavioral interventions. https://doi.org/10.13140/RG.2.2.22329.11367Google Scholar
Trafimow, D. (2012). The role of auxiliary assumptions for the validity of manipulations and measures. Theory and Psychology, 22, 486–498. https://doi.org/10.1177/0959354311429996Google Scholar
Triandis, H. C. (1977). Interpersonal Behavior. Monterey, CA: Brookes/Cole.Google Scholar
Trout, J. D. (2004). The philosophical legacy of Meehl (1978): Confirmation theory, theory quality, and scientific epistemology. Applied and Preventive Psychology, 11, 73–76. https://doi.org/10.1016/j.appsy.2004.02.013Google Scholar
Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the Social Group: A Self-Categorization Theory. Cambridge, MA: Basil Blackwell.Google Scholar
Wallot, S., & Kelty-Stephen, D. G. (2018). Interaction-dominant causation in mind and brain, and its implication for questions of generalization and replication. Minds and Machines, 28, 353–374. https://doi.org/10.1007/s11023-017-9455-0Google Scholar
Walton, H., Spector, A., Tombor, I., & Michie, S. (2017). Measures of fidelity of delivery of, and engagement with, complex, face-to-face health behaviour change interventions: A systematic review of measure quality. British Journal of Health Psychology, 22, 872–903. https://doi.org/10.1111/bjhp.12260Google Scholar
Ward, P. (2011). A minimum price for alcohol? House of Commons Standard Note SN/HA/5021, London.Google Scholar
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010). Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12, e4. https://doi.org/10.2196/jmir.1376Google Scholar
Weinstein, N. D. (1993). Testing four competing theories of health-protective behavior. Health Psychology, 12, 324–333. https://doi.org/10.1037/0278-6133.12.4.324Google Scholar
West, R., Godinho, C. A., Bohlen, L. C. et al. (2019). Development of a formal system for representing behaviour-change theories. Nature Human Behaviour, 3, 526–536. https://doi.org/10.1038/s41562-019-0561-2Google Scholar
Wilson, T. E., Hennessy, E. A., Falzon, L., Boyd, R., Kronish, I. M., & Birk, J. L. (2020). Effectiveness of interventions targeting self-regulation to improve adherence to chronic disease medications: A meta-review of meta-analyses. Health Psychology Review, 14, 66–85. https://doi.org/10.1080/17437199.2019.1706615Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×