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-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-27T15:33:10.389Z Has data issue: false hasContentIssue false

5 - Changing Behavior Using the Common-Sense Model of Self-Regulation

from Part I - Theory and Behavior Change

Published online by Cambridge University Press:  04 July 2020

By
Linda D. Cameron ,
Sara Fleszar-Pavlović  and
Tenie Khachikian
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 common-sense model of self-regulation delineates cognitive and emotional processes influencing motivations to engage in adaptive behaviors. Originally developed to account for reactions to health-related threats, the common-sense model also holds utility for interventions to change behavior in other domains involving threats to performance and well-being. This chapter provides an overview of the common-sense model and how specific mechanisms such as threat representations, emotion regulation processes, imagery processes, and appraisal processes influence behaviors. The chapter reviews research on approaches for eliciting behavior change through psychoeducational approaches, communication skills training for practitioners, communications arousing worry and fear, training in emotion regulation skills, action planning, and appraisal skills. Specific behavior change strategies (e.g., fear arousal, action planning, self-monitoring) have been tested extensively, although studies testing interventions specifically guided by the common-sense model and targeting multiple model components remain limited. The chapter concludes with considerations of future directions for intervention developments and research on applying the model to promote adaptive behaviors in multiple life domains.

Keywords

cognitive representationsemotional representationshealth threatscoping appraisalsthreat representationsimagery processesfear and worry communicationsaction planningself-monitoringemotion regulation skills
Type
Chapter
Information
The Handbook of Behavior Change , pp. 60 - 76
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

Arigo, D., & Smyth, J. M. (2012). The benefits of expressive writing on sleep difficulty and appearance concerns for college women. Psychology and Health, 27, 210–226. https://doi.org/10.1080/08870446.2011.558196Google Scholar
Beltzer, M. L., Nock, M. K., Peters, B. J., & Jamieson, J. P. (2014). Rethinking butterflies: The affective, physiological, and performance effects of reappraising arousal during social evaluation. Emotion, 14, 761–768. https://doi.org/10.1037/a0036326Google Scholar
Brady, S. T., Hard, B. M., & Gross, J. J. (2018). Reappraising test anxiety increases academic performance of first-year college students. Journal of Educational Psychology, 110, 395–406. https://doi.org/10.1037/edu0000219CrossRefGoogle Scholar
Broadbent, E., Ellis, C. J., Thomas, J., Gamble, G., & Petrie, K. J. (2009). Further development of an illness perception intervention for myocardial infarction patients: A randomized controlled trial. Journal of Psychosomatic Research, 67, 17–23. https://doi.org/10.1016/j.jpsychores.2008.12.001CrossRefGoogle ScholarPubMed
Brooks, A. W. (2014). Get excited: Reappraising pre-performance anxiety as excitement. Journal of Experimental Psychology: General, 143, 1144–1158. https://doi.org/10.1037/a0035325Google Scholar
Burke, L. E., Zheng, Y., Ma, Q. et al. (2017). The SMARTER pilot study: Testing feasibility of real-time feedback for dietary self-monitoring. Preventive Medicine Reports, 6, 278–285. https://doi.org/10.1016/j.pmedr.2017.03.017Google Scholar
Cadmus-Bertram, L., Marcus, B. H., Patterson, R. E., Parker, B. A., & Morey, B. L. (2015). Use of the Fitbit to measure adherence to a physical activity intervention among overweight or obese, postmenopausal women: Self-monitoring trajectory during 16 weeks. Journal of Medical Internet Research MHealth and UHealth, 3. https://doi.org10.2196/mhealth.4229Google ScholarPubMed
Cameron, L. D. (2008). Illness risk representations and motivations to engage in protective behavior: The case of skin cancer risk. Psychology and Health, 23, 91–112. https://doi.org/10.1080/14768320701342383CrossRefGoogle ScholarPubMed
Cameron, L. D., Booth, R. J., Schlatter, M., Ziginskas, D., & Harman, J. E. (2007). Changes in emotion regulation and psychological adjustment following use of a group psychosocial support program for women recently diagnosed with breast cancer. Psycho-Oncology, 16, 171–180. https://doi.org/10.1002/pon.1050Google Scholar
Cameron, L. D., Carroll, P., & Hamilton, W. K. (2018). Evaluation of an intervention promoting emotion regulation skills for adults with persisting distress due to adverse childhood experiences. Child Abuse and Neglect, 79, 423–433. https://doi.org/10.1016/j.chiabu.2018.03.002Google Scholar
Cameron, L. D., & Chan, C. K. Y. (2008). Designing health communications: Harnessing the power of affect, imagery, and self-regulation. Social and Personality Psychology Compass, 2, 262–282. https://doi.org/10.1111/j.1751-9004.2007.00057.xGoogle Scholar
Cameron, L. D., Durazo, A., & Rus, H. (2016). Illness representations. In Benyamini, Y., Johnston, M., & Karademas, V. (Eds.), Assessment in Health Psychology (pp. 45–59). Abingdon: Hogrefe Publishing.Google Scholar
Cameron, L. D., & Jago, L. (2008). Emotion regulation interventions: A common-sense model approach. British Journal of Health Psychology, 13, 215–221. https://doi.org/10.1348/135910708X288800Google Scholar
Cameron, L. D., Marteau, T. M., Brown, P. M., Klein, W. M. P., & Sherman, K. A. (2012). Communication strategies for enhancing understanding of the behavioral implications of genetic and biomarker tests for disease risk: The role of coherence. Journal of Behavioral Medicine, 35, 286–298. https://doi.org/10.1007/s10865-011-9361-5CrossRefGoogle ScholarPubMed
Cameron, L. D., & Nicholls, G. (1998). Expression of stressful experiences through writing: Effects of a self-regulation manipulation for pessimists and optimists. Health Psychology, 17, 84–92. https://doi.org/10.1037/0278-6133.17.1.84Google Scholar
Cameron, L. D., Petrie, K. J., Ellis, C., Buick, D., & Weinman, J. (2005). Trait negative affectivity and responses to a health education intervention for myocardial infarction patients. Psychology and Health, 20, 1–18. https://doi.org/10.1080/08870440412331300011CrossRefGoogle Scholar
Caron, E. B., Bernard, K., & Dozier, M. (2018). In vivo feedback predicts parent behavior change in the attachment and biobehavioral catch-up intervention. Journal of Clinical Child and Adolescent Psychology,47, S35–S46. https://doi.org/10.1080/15374416.2016.1141359Google Scholar
Cavallo, D. N., Tate, D. F., Ries, A. V., Brown, J. D., DeVellis, R. F., & Ammerman, A. S. (2012). A social media–based physical activity intervention: A randomized controlled trial. American Journal of Preventive Medicine, 43, 527–532. https://doi.org/10.1016/j.amepre.2012.07.019Google Scholar
Chambliss, H. O., Huber, R. C., Finley, C. E., Mcdoniel, S. O., Kitzman-Ulrich, H., & Wilkinson, W. J. (2011). Computerized self-monitoring and technology-assisted feedback for weight loss with and without an enhanced behavioral component. Patient Education and Counseling, 85, 375–382. https://doi.org/10.1016/j.pec.2010.12.024Google Scholar
Christensen, S. S., Frostholm, L., Ørnbøl, E., & Schröder, A. (2015). Changes in illness perceptions mediated the effect of cognitive behavioural therapy in severe functional somatic syndromes. Journal of Psychosomatic Research, 78, 363–370. https://doi.org/10.1016/j.jpsychores.2014.12.005CrossRefGoogle ScholarPubMed
Conroy, D., & Hagger, M. S. (2018). Imagery interventions in health behavior: A meta-analysis. Health Psychology, 37, 668–679. https://doi.org/10.1037/hea0000625CrossRefGoogle ScholarPubMed
Davison, K. P., & Pennebaker, J. W. (1997). Illness representations in online support groups. In Petrie, K. J. & Weinman, J. (Eds.), Perceptions of Health and Illness (pp. 463–486). Amsterdam: Harwood Academic Publishers.Google Scholar
de Ridder, D. T., Theunissen, N. C., & Dulmen, S. M. (2007). Does training general practitioners to elicit patients’ illness representations and action plans influence their communication as a whole? Patient Education and Counseling, 66, 327–336. https://doi.org/10.1016/j.pec.2007.01.006CrossRefGoogle ScholarPubMed
Durazo, A., & Cameron, L. D. (2019). Representations of cancer recurrence risk, recurrence worry, and health-protective behaviours: An elaborated, systematic review. Health Psychology Review, 13, 447–476. https://doi.org/10.1080/17437199.2019.1618725Google Scholar
Elliott, R. A., Barber, N., Clifford, S., Horne, R., & Hartley, E. (2008). The cost effectiveness of a telephone-based pharmacy advisory service to improve adherence to newly prescribed medicines. Pharmacy World and Science, 30, 17–23. https://doi.org/10.1007/s11096-007-9134-yGoogle Scholar
Epstein, S. (1994). Integration of the cognitive and the psychodynamic unconscious. American Psychologist, 49, 709–724. https://doi.org/10.1037/0003-066X.49.8.709Google Scholar
Fletcher, C. (2001). Performance appraisal and management: The developing research agenda. Journal of Occupational and Organizational Psychology, 74, 473–487. https://doi.org/10.1348/096317901167488Google Scholar
Frattaroli, J. (2006). Experimental disclosure and its moderators: A meta-analysis. Psychological Bulletin, 132, 823–865. https://doi.org/10.1037/0033-2909.132.6.823Google Scholar
Giese-Davis, J., Koopman, C., Butler, L. D. et al. (2002). Change in emotion-regulation strategy for women with metastatic breast cancer following supportive-expressive group therapy. Journal of Consulting and Clinical Psychology, 70, 916–925. https://doi.org/10.1037/0022-006X.70.4.916CrossRefGoogle ScholarPubMed
Godard, A., Dufour, T., & Jeanne, S. (2011). Application of self‐regulation theory and motivational interview for improving oral hygiene: A randomized controlled trial. Journal of Clinical Periodontology, 38, 1099–1105. https://doi.org/10.1111/j.1600-051X.2011.01782.xGoogle Scholar
Goldin, P. R., Morrison, A. S., Jazaieri, H., Heimberg, R. G., & Gross, J. J. (2017). Trajectories of social anxiety, cognitive reappraisal, and mindfulness during an RCT of CBGT versus MBSR for social anxiety disorder. Behaviour Research and Therapy, 97, 1–13. https://doi.org/10.1016/j.brat.2017.06.001Google Scholar
Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54, 493–503. https://doi.org/10.1037/0003-066x.54.7.493Google Scholar
Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2, 271–299. https://doi.org/10.1037/1089-2680.2.3.271Google Scholar
Hagger, M. S., Koch, S., Chatzisarantis, N. L. D., & Orbell, S. (2017). The common-sense model of self-regulation: Meta-analysis and test of a process model. Psychological Bulletin, 143, 1117–1154. https://doi.org/10.1037/bul0000118Google Scholar
Hagger, M. S., & Orbell, S. (2019). A Revised Common-Sense Model of Illness Self-Regulation. Unpublished manuscript, University of California, Merced.Google Scholar
Holley, S., Morris, R., Knibb, R. et al. (2016). Barriers and facilitators to asthma self-management in adolescents: A systematic review of qualitative and quantitative studies. Pediatric Pulmonology, 52, 430–442. https://doi.org/10.1002/ppul.23556Google Scholar
Horne, R., Cooper, V., Wileman, V., & Chan, A. (2019). Supporting adherence to medicines for long-term conditions: A perceptions and practicalities approach based on an extended common-sense model. European Psychologist, 24, 82–96. https://doi.org/10.1027/1016-9040/a000353CrossRefGoogle Scholar
Hsu, M. S. H., Rouf, A., & Allman-Farinelli, M. (2018). Effectiveness and behavioral mechanisms of social media interventions for positive nutrition behaviors in adolescents: A systematic review. Journal of Adolescent Health, 63, 531–545. https://doi.org/10.1016/j.jadohealth.2018.06.009Google Scholar
Hubbard, G., Kyle, R. G., Neal, R. D., Marmara, V., Wang, Z., & Dombrowski, S. U. (2018). Promoting sunscreen use and skin self-examination to improve early detection and prevent skin cancer: Quasi-experimental trial of an adolescent psycho-educational intervention. BMC Public Health, 18, 1–15. https://doi.org/10.1186/s12889-018-5570-yGoogle Scholar
Hutchesson, M. J., Tan, C. Y., Morgan, P., Callister, R., & Collins, C. (2016). Enhancement of self-monitoring in a web-based weight loss program by extra individualized feedback and reminders: Randomized trial. Journal of Medical Internet Research, 18, e82. https://doi.org10.2196/jmir.4100Google Scholar
Jamieson, J. P., Peters, B. J., Greenwood, E. J., & Altose, A. J. (2016). Reappraising stress arousal improves performance and reduces evaluation anxiety in classroom exam situations. Social Psychological and Personality Science, 7, 579–587. https://doi.org/10.1177/1948550616644656Google Scholar
Jones, A. S., Ellis, C. J., Nash, M., Stanfield, B., & Broadbent, E. (2015). Using animation to improve recovery from acute coronary syndrome: A randomized trial. Annals of Behavioral Medicine, 50, 108–118. https://doi.org/10.1007/s12160-015-9736-xGoogle Scholar
Keogh, K. M., Smith, S. M., White, P. et al. (2011). Psychological family intervention for poorly controlled type 2 diabetes. American Journal of Managed Care, 17, 105–113.Google ScholarPubMed
Kleinman, A. (1980). Patients and Healers in the Context of Culture: An Exploration of the Borderland between Anthropology, Medicine, and Psychiatry, Vol. 3. Berkeley: University of California Press.Google Scholar
Kleinman, A. (1988). The Illness Narratives: Suffering, Healing, and the Human Condition. New York: Basic Books.Google Scholar
Kliewer, W., Lepore, S. J., Farrell, A. D. et al. (2011). A school-based expressive writing intervention for at-risk urban adolescents’ aggressive behavior and emotional lability. Journal of Clinical Child and Adolescent Psychology, 40, 693–705. https://doi.org/10.1080/15374416.2011.597092CrossRefGoogle ScholarPubMed
Kosse, R. C., Bouvy, M. L., de Vries, T. W., & Koster, S. (2019). Effect of a mHealth intervention on adherence in adolescents with asthma: A randomized controlled trial. Respiratory Medicine, 149, 45–51. https://doi.org/10.1016/j.rmed.2019.02.009Google Scholar
Kristeller, J., Wolever, R. Q., & Sheets, V. (2014). Mindfulness-based eating awareness training (MB-EAT) for binge eating: A randomized clinical trial. Mindfulness, 5, 282–297. https://doi.org/10.1007/s12671-012-0179-1Google Scholar
Landau, M. J., Arndt, J., & Cameron, L. D. (2018). Do metaphors in health messages work? Exploring emotional and cognitive factors. Journal of Experimental Social Psychology, 74, 135–149. https://doi.org/10.1016/j.jesp.2017.09.006Google Scholar
Lee, T. J., Cameron, L. D., Wünsche, B., & Stevens, C. (2011). A randomized trial of computer-based communications using imagery and text information to alter representations of heart disease risk and motivate protective behaviour. British Journal of Health Psychology, 16, 72–91. https://doi.org/10.1348/135910710X511709Google Scholar
Lerman, C., Trock, B., Rimer, B. K., Jepson, C., Brody, D., & Boyce, A. (1991). Psychological side effects of breast cancer screening. Health Psychology, 10, 259–267. https://doi.org/10.1037/0278-6133.10.4.259Google Scholar
Leventhal, H. (1970). Findings and theory in the study of fear communications. In Berkowitz, L. (Ed.), Advances in Experimental Social Psychology, Vol. 5 (pp. 119–186). New York: Academic Press.Google Scholar
Leventhal, H., Brissette, I., & Leventhal, E. A. (2003). The common-sense model of self-regulation of health and illness. In Cameron, L. D. & Leventhal, H. (Eds.), The Self-Regulation of Health and Illness Behaviour (pp. 42–65). New York: Routledge.Google 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
Leventhal, H., Singer, R., & Jones, S. (1965). Effects of fear and specificity of recommendations upon attitudes and behavior. Journal of Personality and Social Psychology, 2, 20–29. https://doi.org/10.1037/h0022089Google Scholar
Leventhal, H., & Watts, J. C. (1966). Sources of resistance to fear-arousing communications on smoking and lung cancer. Journal of Personality, 34, 155–175. https://doi.org/10.1111/j.1467-6494.1966.tb01706.xGoogle Scholar
Leventhal, H., Watts, J. C., & Pagano, F. (1967). Effects of fear and instructions on how to cope with danger. Journal of Personality and Social Psychology, 6, 313–321. https://doi.org/10.1037/h0021222CrossRefGoogle ScholarPubMed
Levine, J. C., Burns, E., Whittle, J. et al. (2016). Randomized trial of technology-assisted self-monitoring of blood glucose by low-income seniors: Improved glycemic control in type 2 diabetes mellitus. Journal of Behavioral Medicine, 39, 1001–1008. https://doi.org/10.1007/s10865-016-9763-5Google Scholar
Li, W., Garland, E. L., McGovern, P., O’Brien, J. E., Tronnier, C., & Howard, M. O. (2017). Mindfulness-oriented recovery enhancement for internet gaming disorder in U.S. adults: A stage I randomized controlled trial. Psychology of Addictive Behaviors, 31, 393–402. https://doi.org/10.1037/adb0000269Google Scholar
Loft, M. H., & Cameron, L. D. (2013). Using mental imagery to deliver self-regulation techniques to improve sleep behaviors. Annals of Behavioral Medicine, 46, 260–272. https://doi.org/10.1007/s12160-013-9503-9Google Scholar
MacKinnon, D. P., Fairchild, A. J., & Fritz, M. (2010). Meditation analysis. Annual Review of Psychology, 58, 593–614. https://https://doi.org10.1146/annurev.psych.58.110405.085542Google Scholar
Magnan, R. E., & Cameron, L. D. (2015). Do young adults perceive that cigarette graphic warnings provide new knowledge about the harms of smoking? Annals of Behavioral Medicine, 49, 594–604. https://doi.org/10.1007/s12160-015-9691-6Google Scholar
Marteau, T. M., & Weinman, J. (2006). Self-regulation and the behavioural response to DNA risk information: A theoretical analysis and framework for future research. Social Science and Medicine, 62, 1360–1368. https://doi.org/10.1016/j.socscimed.2005.08.005Google Scholar
McAndrew, L. M., Musumeci-Szabó, T. J., Mora, P. A. et al. (2008). Using the common sense model to design interventions for the prevention and management of chronic illness threats: From description to process. British Journal of Health Psychology, 13, 195–204. https://doi.org/10.1348/135910708X295604Google Scholar
McBride, C., De Heer, H., Tekola Ayele, F., & Davey, G. (2019). Using genomic knowledge to improve health promotion interventions in the developing world. In Fisher, E. B., Cameron, L. D., Christensen, A. J. et al. (Eds.), Principles and Concepts of Behavioral Medicine: A Global Handbook (pp. 713–736). New York: Springer.Google Scholar
McCaul, K. D., Schroeder, D. M., & Reid, P. A. (1996). Breast cancer worry and screening: Some prospective data. Health Psychology, 15, 430–433. https://doi.org/10.1037/0278-6133.15.6.430Google Scholar
McLean, S. A., Paxton, S. J., & Wertheim, E. H. (2011). A body image and disordered eating intervention for women in midlife: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 79, 751–758. https://doi.org/10.1037/a0026094Google Scholar
Miller, G. A., Galanter, E., & Pribram, G. H. (1960). Plans and the Structure of Behavior. New York: Holt.Google Scholar
Miller, W. R., & Rollnick, S. (2009). Ten things that motivational interviewing is not. Behavioural and Cognitive Psychotherapy, 37, 129–140. https://doi.org/10.1017/S1352465809005128Google Scholar
Mosleh, S. M., Bond, C. M., Lee, A. J., Kiger, A., & Campbell, N. C. (2014). Effectiveness of theory-based invitations to improve attendance at cardiac rehabilitation: A randomized controlled trial. European Journal of Cardiovascular Nursing, 13, 201–210. https://doi.org/10.1177/1474515113491348CrossRefGoogle ScholarPubMed
Nelson, S., Slusar, M. B., Albert, J. M., & Riedy, C. A. (2017). Do baby teeth really matter? Changing parental perception and increasing dental care utilization for young children. Contemporary Clinical Trials, 59, 13–21. https://doi.org/10.1016/j.cct.2017.05.002Google Scholar
Noar, S. M., Hall, M. G., Francis, D. B., Ribisl, K. M., Pepper, J. K., & Brewer, N. T. (2016). Pictorial cigarette pack warnings: A meta-analysis of experimental studies. Tobacco Control, 25, 341. https://doi.org10.1136/tobaccocontrol-2014-051978Google Scholar
Norman, P., & Conner, M. (2005). The theory of planned behavior and exercise: Evidence for the mediating and moderating roles of planning on intention-behavior relationships. Journal of Sport and Exercise Psychology, 27, 488–504. https://doi.org/10.1123/jsep.27.4.488Google Scholar
Orrell-Valente, J. K., Jarlsberg, L. G., Hill, L. G., & Cabana, M. D. (2008). At what age do children start taking daily asthma medicines on their own? Pediatrics, 122, 1186–1192. https://doi.org10.1542/peds.2008-0292Google Scholar
Parker, P. A., Banerjee, S. C., Matasar, M. J. et al. (2016). Protocol for a cluster randomised trial of a communication skills intervention for physicians to facilitate survivorship transition in patients with lymphoma. BMJ Open, 6. https://doi.org10.1136/bmjopen-2016-011581Google Scholar
Pennebaker, J. W. (1997). Writing about emotional experiences as a therapeutic process. Psychological Science, 8, 162–166. https://doi.org/10.1111/j.1467-9280.1997.tb00403.xGoogle Scholar
Perera, A. I., Thomas, M. G., Moore, J. O., Faasse, K., & Petrie, K. J. (2014). Effect of a smartphone application incorporating personalized health-related imagery on adherence to antiretroviral therapy: A randomized clinical trial. AIDS Patient Care and STDs, 28, 579–586. https://doi.org/10.1089/apc.2014.0156CrossRefGoogle ScholarPubMed
Perry, J. E., Ross, M., Weinstock, J., & Weaver, T. (2017). Efficacy of a brief mindfulness intervention to prevent athletic task performance deterioration: A randomized controlled trial. The Sport Psychologist, 31, 410–421. https://doi.org/10.1123/tsp.2016-0130Google Scholar
Petrie, K. J., Cameron, L. D., Ellis, C. J., Buick, D., & Weinman, J. (2002). Changing illness perceptions after myocardial infarction: An early intervention randomized controlled trial. Psychosomatic Medicine, 64, 580–586. https://doi.org/10.1097/00006842-200207000-00007Google Scholar
Petrie, K. J., Perry, K., Broadbent, E., & Weinman, J. (2012). A text message programme designed to modify patients’ illness and treatment beliefs improves self-reported adherence to asthma preventer medication. British Journal of Health Psychology, 17, 74–84. https://doi.org/10.1111/j.2044-8287.2011.02033.xGoogle Scholar
Pham, L. B., & Taylor, S. E. (1999). From thought to action: Effects of process- versus outcome-based mental simulations on performance. Personality and Social Psychology Bulletin, 25, 250–260. https://doi.org/10.1177/0146167299025002010Google Scholar
Quaglia, J. T., Braun, S. E., Freeman, S. P., McDaniel, M. A., & Brown, K. W. (2016). Meta-analytic evidence for effects of mindfulness training on dimensions of self-reported dispositional mindfulness. Psychological Assessment, 28, 803–818. https://doi.org/10.1037/pas0000268Google Scholar
Richardson, E. M., Schüz, N., Sanderson, K., Scott, J. L., & Schüz, B. (2016). Illness representations, coping, and illness outcomes in people with cancer: A systematic review and meta-analysis. Psycho-Oncology, 26, 724–737. https://doi.org/10.1002/pon.4213Google Scholar
Rodda, S., Merkouris, S. S., Abraham, C., Hodgins, D. C., Cowlishaw, S., & Dowling, N. A. (2018). Therapist-delivered and self-help interventions for gambling problems: A review of contents. Journal of Behavioral Addictions, 7, 211–226. https://doi.org/10.1556/2006.7.2018.44Google Scholar
Salmon, P., Peters, S., & Stanley, I. (1999). Patients perceptions of medical explanations for somatisation disorders: Qualitative analysis. BMJ: British Medical Journal, 318, 372–376. https://doi.org/10.1136/bmj.318.7180.372Google Scholar
Schultz, J. R., Gaither, S. E., Urry, H. L., & Maddox, K. B. (2015). Reframing anxiety to encourage interracial interactions. Translational Issues in Psychological Science, 1, 392–400. https://doi.org/10.1037/tps0000048Google Scholar
Scott, S. E., Khwaja, M., Low, E. L., Weinman, J., & Grunfeld, E. A. (2012). A randomised controlled trial of a pilot intervention to encourage early presentation of oral cancer in high risk groups. Patient Education and Counseling, 88, 241–248. https://doi.org/10.1016/j.pec.2012.03.015Google Scholar
Severtson, D. J., Baumann, L. C., & Brown, R. L. (2006). Applying a health behavior theory to explore the influence of information and experience on arsenic risk perceptions, policy beliefs, and protective behavior. Risk Analysis, 26, 353–368. https://doi.org/10.1111/j.1539-6924.2006.00737.xGoogle Scholar
Stormont, M., & Reinke, W. M. (2013). Providing performance feedback for teachers to increase treatment fidelity. Intervention in School and Clinic, 49, 219–224. https://doi.org/10.1177/1053451213509487Google Scholar
Tapper, K., Shaw, C., Ilsley, J., Hill, A. J., Bond, F. W., & Moore, L. (2009). Exploratory randomised controlled trial of a mindfulness-based weight loss intervention for women. Appetite, 52, 396–404. https://doi.org/10.1016/j.appet.2008.11.012CrossRefGoogle ScholarPubMed
Witte, K., & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Education and Behavior, 27, 591–615. https://doi.org/10.1177/109019810002700506Google Scholar
Zabatiero, J., Kovelis, D., Furlanetto, K. C., Mantoani, L. C., Proença, M., & Pitta, F. (2013). Comparison of two strategies using pedometers to counteract physical inactivity in smokers. Nicotine and Tobacco Research, 16, 562–568.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] 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
×