Using Fuzzy-Trace Theory to Understand and Improve Health Judgments, Decisions, and Behaviors: A Literature Review

Health Psychology

Volumn 35, Issue 8, 2016, Pages 781-792

  Blalock, Susan J ^a   Reyna, Valerie F ^b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b Cornell University ^*

Author keywords

behavior change; decision making; fuzzy trace theory; health behaviors; risk taking

Indexed keywords

ADULT; ARTICLE; BEHAVIOR CHANGE; DECISION MAKING; FEMALE; HIGH RISK BEHAVIOR; HUMAN; INTERVENTION STUDY; MALE; MEDLINE; PREDICTION; PSYCINFO; REASONING; SYSTEMATIC REVIEW; THEORETICAL STUDY; WEB OF SCIENCE; ASSOCIATION; ATTENTIONAL BIAS; ATTITUDE TO HEALTH; COMPREHENSION; HEALTH BEHAVIOR; INDIVIDUALITY; LONG TERM MEMORY; PROBLEM SOLVING; PSYCHOLOGICAL MODEL; PSYCHOLOGICAL THEORY; RECALL; RISK REDUCTION;

ADULT; ATTENTIONAL BIAS; COMPREHENSION; CUES; DECISION MAKING; FEMALE; HEALTH BEHAVIOR; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; INDIVIDUALITY; JUDGMENT; MALE; MENTAL RECALL; MODELS, PSYCHOLOGICAL; PROBLEM SOLVING; PSYCHOLOGICAL THEORY; RETENTION (PSYCHOLOGY); RISK REDUCTION BEHAVIOR;

EID: 85021856914     PISSN: 02786133     EISSN: 19307810     Source Type: Journal    
DOI: 10.1037/hea0000384     Document Type: Article

References (56)

1. Adam, M. B., & Reyna, V. F. (2005). Coherence and correspondence criteria for rationality: Experts' estimation of risks of sexually transmitted infections. Journal of Behavioral Decision Making, 18, 169-186. http://dx.doi.org/10.1002/bdm.493
2. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179 -211. http://dx.doi.org/10.1016/ 0749-5978(91)90020-T
3. Anand, R., Chapman, S. B., Rackley, A., Keebler, M., Zientz, J., & Hart, J., Jr. (2011). Gist reasoning training in cognitively normal seniors. International Journal of Geriatric Psychiatry, 26, 961-968. http://dx.doi. org/10.1002/gps.2633
4. Baghal, T. (2011). The measurement of risk perceptions: The case of smoking. Journal of Risk Research, 14, 351-364. http://dx.doi.org/10. 1080/13669877.2010.541559
5. Bigman, C. A. (2014). Social comparison framing in health news and its effect on perceptions of group risk. Health Communication, 29, 267280. http://dx.doi.org/10.1080/10410236.2012.745043
6. Brainerd, C. J., & Reyna, V. F. (2005). The science of false memory. New York, NY: Oxford University Press. http://dx.doi.org/10.1093/acprof: oso/9780195154054.001.0001
7. Brainerd, C. J., Reyna, V. F., &Ceci, S. J. (2008). Developmental reversals in false memory: A review of data and theory. Psychological Bulletin, 134, 343-382. http://dx.doi.org/10.1037/0033-2909.134.3.343
8. Brown, S. L., & Gould, R. V. (2012). A prospective study of relationships between propositions about risk and driver speeding. Accident Analysis and Prevention, 46, 1-7. http://dx.doi.org/10.1016/j.aap.2011.12.007
9. Brown, S. L., & Morley, A. M. (2007). Risk perception, fuzzy representations and comparative optimism. British Journal of Psychology, 98, 575-587. http://dx.doi.org/10.1348/000712606X169020
10. Brown, S. L., Nowlan, L., Taylor, P. J., & Morley, A. M. (2013). Fuzzy risk perception: Correlates of “fuzzy” and specific measures of outcome likelihood in young drinkers. Journal of Experimental Psychology: Applied, 19, 120-129. http://dx.doi.org/10.1037/a0033284
11. Carson, B. (2015, February). Vaccinations are for the good of the nation: The public-health benefits outweigh the costs, both real and imagined. National Review. Retrieved from http://www.nationalreview.com/article/ 398365/vaccinations-are-good-nation-ben-carson
12. Chapman, S. B., Aslan, S., Spence, J. S., Hart, J. J., Bartz, E. K., Dideh-bani, N.,...Lu, H.(2015). Neural mechanisms of brain plasticity with complex cognitive training in healthy seniors. Cerebral Cortex, 25, 396-405. http://dx.doi.org/10.1093/cercor/bht234
13. Clark, H. H., & Clark, E. V. (1977). Psychology and language. New York, NY: Harcourt Brace Jovanovich.
14. Cook, L. G., Chapman, S. B., Elliott, A. C., Evenson, N. N., & Vinton, K. (2014). Cognitive gains from gist reasoning training in adolescents with chronic-stage traumatic brain injury. Frontiers in Neurology, 5, 8. http:// dx.doi.org/10.3389/fneur.2014.00087
15. Evans, K. K., Georgian-Smith, D., Tambouret, R., Birdwell, R. L., & Wolfe, J. M. (2013). The gist of the abnormal: Above-chance medical decision making in the blink of an eye. Psychonomic Bulletin & Review, 20, 1170-1175. http://dx.doi.org/10.3758/s13423-013-0459-3
16. Feenstra, H., Ruiter, R. A. C., & Kok, G. (2012). Go fast! Reaction time differences between adults and adolescents in evaluating risky traffic situations. Journal of Health Psychology, 17, 343-349. http://dx.doi.org/ 10.1177/1359105311417190
17. Fischer, G. W., & Hawkins, S. A. (1993). Strategy compatibility, scale compatibility, and the prominence effect. Journal of Experimental Psychology: Human Perception and Performance, 19, 580-597. http://dx. doi.org/10.1037/0096-1523.19.3.580
18. Fisher, C. R., Wolfe, C. R., Reyna, V. F., Widmer, C. L., Cedillos, E. M., & Brust-Renck, P. G. (2013). A signal detection analysis of gist-based discrimination of genetic breast cancer risk. Behavior Research Methods, 45, 613-622. http://dx.doi.org/10.3758/s13428-013-0364-8
19. Fraenkel, L., Peters, E., Charpentier, P., Olsen, B., Errante, L., Schoen, R. T., & Reyna, V. (2012). Decision tool to improve the quality of care in rheumatoid arthritis. Arthritis Care and Research, 64, 977-985. http://dx.doi.org/10.1002/acr.21657
20. Fukukura, J., Ferguson, M. J., & Fujita, K. (2013). Psychological distance can improve decision making under information overload via gist memory. Journal of Experimental Psychology: General, 142, 658-665. http://dx.doi.org/10.1037/a0030730
21. Gaissmaier, W., Wegwarth, O., Skopec, D., Muller, A. S., Broschinski, S., & Politi, M. C. (2012). Numbers can be worth a thousand pictures: Individual differences in understanding graphical and numerical representations of health-related information. Health Psychology, 31, 286296. http://dx.doi.org/10.1037/a0024850
22. Haidt, J. (2007). The new synthesis in moral psychology. Science, 316, 998-1002. http://dx.doi.org/10.1126/science.1137651
23. Haidt, J., & Kesebir, S. (2008). In the forest of value: Why moral intuitions are different from other kinds. In H. Plessner, C. Betsch, & T. Betsch (Eds.), Intuition in judgment and decision making (pp. 209-229). Mah-wah, NJ: Erlbaum.
24. Hawley, S. T., Zikmund-Fisher, B., Ubel, P., Jancovic, A., Lucas, T., & Fagerlin, A. (2008). The impact of the format of graphical presentation on health-related knowledge and treatment choices. Patient Education and Counseling, 73, 448-455. http://dx.doi.org/10.1016/j.pec.2008.07. 023
25. Hogarty, G. E., Flesher, S., Ulrich, R., Carter, M., Greenwald, D., Pogue-Geile, M.,...Zoretich, R. (2004). Cognitive enhancement therapy for schizophrenia: Effects of a 2-year randomized trial on cognition and behavior. Archives of General Psychiatry, 61, 866-876. http://dx.doi. org/10.1001/archpsyc.61.9.866
26. Hogarty, G. E., Greenwald, D. P., & Eack, S. M. (2006). Durability and mechanism of effects of cognitive enhancement therapy. Psychiatric Services, 57, 1751-1757. http://dx/doi.org/10.1176/appi.ps.57.12.1751
27. Hubbard, B. M., Giese, M. L., & Rainey, J. (1998). A replication study of Reducing the Risk, a theory-based sexuality curriculum for adolescents. The Journal of School Health, 68, 243-247. http://dx.doi.org/10.1111/j. 1746-1561.1998.tb06347.x
28. Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus & Giroux.
29. Kirby, D., Barth, R. P., Leland, N., & Fetro, J. V. (1991). Reducing the risk: Impact of a new curriculum on sexual risk-taking. Family Planning Perspectives, 23, 253-263. http://dx.doi.org/10.2307/2135776
30. Krupinski, E. A., Graham, A. R., & Weinstein, R. S. (2013). Characterizing the development of visual search expertise in pathology residents viewing whole slide images. Human Pathology, 44, 357-364. http://dx.doi. org/10.1016/j.humpath.2012.05.024
31. Lang, K., Lopez, C., Stahl, D., Tchanturia, K., & Treasure, J. (2014). Central coherence in eating disorders: An updated systematic review and meta-analysis. The World Journal of Biological Psychiatry, 15, 586598. http://dx.doi.org/10.3109/15622975.2014.909606
32. Lloyd, A., Hayes, P., Bell, P.R., & Naylor, A. R. (2001). The role of risk and benefit perception in informed consent for surgery. Medical Decision Making, 21, 141-149. http://dx.doi.org/10.1177/0272989X0102100207
33. Lloyd, F. J., & Reyna, V. F. (2001). A web exercise in evidence-based medicine using cognitive theory. Journal of General Internal Medicine, 16, 94-99. http://dx.doi.org/10.1111/j.1525-1497.2001.00214.x
34. Marewski, J. N., & Gigerenzer, G. (2012). Heuristic decision making in medicine. Dialogues in Clinical Neuroscience, 14, 77-89.
35. Mills, B., Reyna, V. F., & Estrada, S. (2008). Explaining contradictory relations between risk perception and risk taking. Psychological Science, 19, 429-433. http://dx.doi.org/10.1111/j.1467-9280.2008.02104.x
36. Mishra, H., Mishra, A., & Shiv, B. (2011). In praise of vagueness: Malleability of vague information as a performance booster. Psychological Science, 22, 733-738. http://dx.doi.org/10.1177/0956797611407208
37. Norman, G., Sherbino, J., Dore, K., Wood, T., Young, M., Gaissmaier, W.,... Monteiro, S. (2014). The etiology of diagnostic errors: A controlled trial of System 1 versus System 2 reasoning. Academic Medicine, 89, 277-284. http://dx.doi.org/10.1097/ACM.0000000000000105
38. Reyna, V. F. (2004). How people make decisions that involve risk: A dual-process approach. Current Directions in Psychological Science, 13, 60-66. http://dx.doi.org/10.1111/j.0963-7214.2004.00275.x
39. Reyna, V. F. (2008). A theory of medical decision making and health: Fuzzy trace theory. Medical Decision Making, 28, 850-865. http://dx. doi.org/10.1177/0272989X08327066
40. Reyna, V. F. (2012). A new intuitionism: Meaning, memory, and development in fuzzy-trace theory. Judgment and Decision Making, 7, 332359.
41. Reyna, V. F., & Adam, M. B. (2003). Fuzzy-trace theory, risk communication, and product labeling in sexually transmitted diseases. Risk Analysis, 23, 325-342. http://dx.doi.org/10.1111/1539-6924.00332
42. Reyna, V. F., & Brainerd, C. J. (1995). Fuzzy-trace theory: An interim synthesis. Learning and Individual Differences, 7, 1-75. http://dx.doi. org/10.1016/1041-6080(95)90031-4
43. Reyna, V. F., & Brainerd, C. J. (2008). Numeracy, ratio bias, and denominator neglect in judgments of risk and probability. Learning and Individual Differences, 18, 89-107. http://dx.doi.org/10.1016/j.lindif.2007. 03.011
44. Reyna, V. F., & Brainerd, C. J. (2011). Dual processes in decision making and developmental neuroscience: A fuzzy-trace model. Developmental Review, 31, 180-206. http://dx.doi.org/10.1016/j.dr.2011.07.004
45. Reyna, V. F., Chick, C. F., Corbin, J. C., & Hsia, A. N. (2014). Developmental reversals in risky decision making: Intelligence agents show larger decision biases than college students. Psychological Science, 25, 76-84. http://dx.doi.org/10.1177/0956797613497022
46. Reyna, V. F., Croom, K., Staiano-Coico, L., Lesser, M. L., Lewis, D., Frank, J., & Marchell, T. (2013). Endorsement of a personal responsibility to adhere to the minimum drinking age law predicts consumption, risky behaviors, and alcohol-related harms. Psychology, Public Policy, and Law, 19, 380-394. http://dx.doi.org/10.1037/a0032538
47. Reyna, V. F., Estrada, S. M., DeMarinis, J. A., Myers, R. M., Stanisz, J. M., & Mills, B. A. (2011). Neurobiological and memory models of risky decision making in adolescents versus young adults. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 11251142. http://dx.doi.org/10.1037/a0023943
48. Reyna, V. F., & Hamilton, A. J. (2001). The importance of memory in informed consent for surgical risk. Medical Decision Making, 21, 152155. http://dx.doi.org/10.1177/0272989X0102100209
49. Reyna, V. F., & Lloyd, F. J. (2006). Physician decision making and cardiac risk: Effects of knowledge, risk perception, risk tolerance, and fuzzy processing. Journal of Experimental Psychology: Applied, 12, 179-195. http://dx.doi.org/10.1037/1076-898X.12.3.179
50. Reyna, V. F., & Mills, B. A. (2014). Theoretically motivated interventions for reducing sexual risk taking in adolescence: A randomized controlled experiment applying fuzzy-trace theory. Journal of Experimental Psychology: General, 143, 1627-1648. http://dx.doi.org/10.1037/a0036717 Ruiz, J. G., Andrade, A. D., Garcia-Retamero, R., Anam, R., Rodriguez, R., & Sharit, J. (2013). Communicating global cardiovascular risk: Are icon arrays better than numerical estimates in improving understanding, recall and perception of risk? Patient Education and Counseling, 93, 394-402. http://dx.doi.org/10.1016/j.pec.2013.06.026
51. Smith, S. G., Raine, R., Obichere, A., Wolf, M. S., Wardle, J., & von Wagner, C. (2015). The effect of a supplementary (‘Gist-based') information leaflet on colorectal cancer knowledge and screening intention: A randomized controlled trial. Journal of Behavioral Medicine, 38, 261-272. http://dx.doi.org/10.1007/s10865-014-9596-z
52. Smith, S. K., Simpson, J. M., Trevena, L. J., & McCaffery, K. J. (2014). Factors associated with informed decisions and participation in bowel cancer screening among adults with lower education and literacy. Medical Decision Making, 34, 756 -772. http://dx.doi.org/10.1177/ 0272989X13518976
53. Vas, A. K., Chapman, S. B., Cook, L. G., Elliott, A. C., & Keebler, M. (2011). Higher-order reasoning training years after traumatic brain injury in adults. The Journal of Head Trauma Rehabilitation, 26, 224 -239. http://dx.doi.org/10.1097/HTR.0b013e318218dd3d
54. Witteman, C. L. M., & Tollenaar, M. S. (2012). Remembering and diagnosing clients: Does experience matter? Memory, 20, 266 -276. http:// dx.doi.org/10.1080/09658211.2012.654799
55. Wolfe, C., Fisher, C. R., & Reyna, V. F. (2013). Semantic coherence and inconsistency in estimating conditional probabilities. Journal of Behavioral Decision Making, 26, 237-246. http://dx.doi.org/10.1002/bdm. 1756
56. Wolfe, C. R., Reyna, V. F., Widmer, C. L., Cedillos, E. M., Fisher, C. R., Brust-Renck, P. G., & Weil, A. M. (2015). Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: A fuzzy-trace theory approach. Medical Decision Making, 35, 46-59. http://dx.doi.org/10.1177/0272989X14535983