Impact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing

Medical Decision Making

Volumn 32, Issue 4, 2012, Pages 606-615

  Vassy, Jason L ^a,b,c   O'Brien, Kelsey E ^a   Waxler, Jessica L ^d   Park, Elyse R ^a,b   Delahanty, Linda M ^a,b   Florez, Jose C ^a,b,e   Meigs, James B ^a,b   Grant, Richard W ^a,b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d Partners Center for Human Genetics   (United States)

^e Broand Institute   (United States)

Author keywords

decision aids and tools; diabetes; genetics; health literacy; individual differences; internal medicine; judgment and decision psychology; numeracy; risk communication or perception

Indexed keywords

AGED; ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DECISION MAKING; DECISION SUPPORT SYSTEM; FEMALE; GENETIC SCREENING; GENETICS; HEALTH BEHAVIOR; HEALTH LITERACY; HUMAN; LIFESTYLE; MALE; MIDDLE AGED; MOTIVATION; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; PSYCHOLOGICAL ASPECT; RANDOMIZED CONTROLLED TRIAL; RISK ASSESSMENT; SOCIOECONOMICS;

AGED; DECISION MAKING; DECISION SUPPORT TECHNIQUES; DIABETES MELLITUS, TYPE 2; FEMALE; GENETIC TESTING; HEALTH BEHAVIOR; HEALTH LITERACY; HUMANS; LIFE STYLE; MALE; MIDDLE AGED; MOTIVATION; OVERWEIGHT; RISK ASSESSMENT; SOCIOECONOMIC FACTORS;

EID: 84864186992     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X11431608     Document Type: Article

References (43)

1. Brower V. FDA to regulate direct-to-consumer genetic tests. J Natl Cancer Inst. 2010 ; 102 (21). 1610-7
2. McBride CM, Koehly LM, Sanderson SC, Kaphingst KA. The behavioral response to personalized genetic information: will genetic risk profiles motivate individuals and families to choose more healthful behaviors?. Annu Rev Public Health. 2010 ; 31: 89-103
3. Chao S, Roberts JS, Marteau TM, Silliman R, Cupples LA, Green RC. Health behavior changes after genetic risk assessment for Alzheimer disease: the REVEAL Study. Alzheimer Dis Assoc Disord. 2008 ; 22 (1). 94-7 (Pubitemid 351651404)
4. Sanderson SC, Michie S. Genetic testing for heart disease susceptibility: potential impact on motivation to quit smoking. Clin Genet. 2007 ; 71 (6). 501-10 (Pubitemid 46831944)
5. Hamajima N, Suzuki K, Ito Y, Kondo T. Genotype announcement to Japanese smokers who attended a health checkup examination. J Epidemiol. 2006 ; 16 (1). 45-7 (Pubitemid 43055687)
6. Marteau T, Senior V, Humphries SE, et al. Psychological impact of genetic testing for familial hypercholesterolemia within a previously aware population: a randomized controlled trial. Am J Med Genet A. 2004 ; 128 (3). 285-93 (Pubitemid 38849898)
7. Pan XR, Li GW, Hu YH, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance: the Da Qing IGT and Diabetes Study. Diabetes Care. 1997 ; 20 (4). 537-44
8. Knowler WC, Barrett-Connor E, Fowler SE, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002 ; 346 (6). 393-403 (Pubitemid 34437694)
9. Lindström J, Louheranta A, Mannelin M, et al. The Finnish Diabetes Prevention Study (DPS). Diabetes Care. 2003 ; 26 (12). 3230-6
10. Zhao G, Ford ES, Li C, Mokdad AH. Compliance with physical activity recommendations in US adults with diabetes. Diabet Med. 2008 ; 25 (2). 221-7 (Pubitemid 351293399)
11. Nelson KM, Reiber G, Boyko EJ. Diet and exercise among adults with type 2 diabetes: findings from the third national health and nutrition examination survey (NHANES III). Diabetes Care. 2002 ; 25 (10). 1722-8 (Pubitemid 41071077)
12. Prevalence of self-reported physically active adults: United States, 2007. MMWR Morb Mortal Wkly Rep. 2008 ; 57 (48). 1297-300
13. de Miguel-Yanes JM, Shrader P, Pencina MJ, et al. Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms. Diabetes Care. 2011 ; 34 (1). 121-5
14. Meigs JB, Shrader P, Sullivan LM, et al. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N Engl J Med. 2008 ; 359 (21). 2208-19
15. Markowitz SM, Park ER, Delahanty LM, O'Brien KE, Grant RW. Perceived impact of diabetes genetic risk testing among patients at high phenotypic risk for type 2 diabetes. Diabetes Care. 2011 ; 34 (3). 568-73
16. Becker MH. The health belief model and sick role behavior. Health Educ Monogr. 1972 ; 2: 409-19
17. Jablonski KA, McAteer JB, de Bakker PI, et al. Common variants in 40 genes assessed for diabetes incidence and response to metformin and lifestyle intervention in the diabetes prevention program. Diabetes. 2010 ; 59 (10). 2672-81
18. Hivert MF, Jablonski KA, Perreault L, et al. An updated genetic score based on 34 confirmed type 2 diabetes loci is associated with diabetes incidence and regression to normoglycemia in the Diabetes Prevention Program. Diabetes. 2011 ; 60 (4). 1340-8
19. Peters E, Hart PS, Fraenkel L. Informing patients: the influence of numeracy, framing, and format of side effect information on risk perceptions. Med Decis Making. 2011 ; 31 (3). 432-6
20. Brewer NT, Tzeng JP, Lillie SE, Edwards AS, Peppercorn JM, Rimer BK. Health literacy and cancer risk perception: implications for genomic risk communication. Med Decis Making. 2009 ; 29 (2). 157-66
21. Brown SM, Culver JO, Osann KE, et al. Health literacy, numeracy, and interpretation of graphical breast cancer risk estimates. Patient Educ Couns. 2011 ; 83 (1). 92-8
22. Tait AR, Voepel-Lewis T, Zikmund-Fisher BJ, Fagerlin A. Presenting research risks and benefits to parents: does format matter?. Anesth Analg. 2010 ; 111 (3). 718-23
23. Berkman N, DeWalt D, Pignone M, et al Health Literacy: Impact on Health Outcomes. Rockville, MD: Agency for Healthcare Research and Quality; ; 2004:
24. Scott TL, Gazmararian JA, Williams MV, Baker DW. Health literacy and preventive health care use among Medicare enrollees in a managed care organization. Med Care. 2002 ; 40 (5). 395-404
25. Huizinga MM, Carlisle AJ, Cavanaugh KL, et al. Literacy, numeracy, and portion-size estimation skills. Am J Prev Med. 2009 ; 36 (4). 324-8
26. Rothman RL, Housam R, Weiss H, et al. Patient understanding of food labels: the role of literacy and numeracy. Am J Prev Med. 2006 ; 31 (5). 391-8 (Pubitemid 44528949)
27. Huizinga MM, Beech BM, Cavanaugh KL, Elasy TA, Rothman RL. Low numeracy skills are associated with higher BMI. Obesity. 2008 ; 16 (8). 1966-8
28. Erby LH, Roter D, Larson S, Cho J. The rapid estimate of adult literacy in genetics (REAL-G): a means to assess literacy deficits in the context of genetics. Am J Med Genet A. 2008 ; 146 (2). 174-81
29. Grant RW, Meigs JB, Florez JC, et al. Design of a randomized trial of diabetes genetic risk testing to motivate behavior change: the Genetic Counseling/Lifestyle Change (GC/LC) Study to Prevent Diabetes. Clin Trials. 2011 ; 8 (5). 609-15
30. The Diabetes Prevention Program (DPP): description of lifestyle intervention. Diabetes Care. 2002 ; 25 (12). 2165-71
31. Hivert MF, Grant RW, Shrader P, Meigs JB. Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records. BMC Health Serv Res. 2009 ; 9: 170
32. Walker EA, Mertz CK, Kalten MR, Flynn J. Risk perception for developing diabetes. Diabetes Care. 2003 ; 26 (9). 2543-8
33. Davis TC, Long SW, Jackson RH, et al. Rapid estimate of adult literacy in medicine: a shortened screening instrument. Fam Med. 1993 ; 25 (6). 391-5 (Pubitemid 23183311)
34. Schwartz LM, Woloshin S, Black WC, Welch HG. The role of numeracy in understanding the benefit of screening mammography. Ann Intern Med. 1997 ; 127 (11). 966-72 (Pubitemid 27516607)
35. Grant RW, Hivert M, Pandiscio JC, Florez JC, Nathan DM, Meigs JB. The clinical application of genetic testing in type 2 diabetes: a patient and physician survey. Diabetologia. 2009 ; 52 (11). 2299-305
36. Gale N, Greenfield S, Gill P, Gutridge K, Marshall T. Patient and general practitioner attitudes to taking medication to prevent cardiovascular disease after receiving detailed information on risks and benefits of treatment: a qualitative study. BMC Fam Pract. 2011 ; 12 (1). 59
37. Florez JC, Jablonski KA, Bayley N, et al. TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program. N Engl J Med. 2006 ; 355 (3). 241-50 (Pubitemid 44079339)
38. Reyna VF, Nelson WL, Han PK, Dieckmann NF. How numeracy influences risk comprehension and medical decision making. Psychol Bull. 2009 ; 135 (6). 943-73
39. Schapira MM, Fletcher KE, Gilligan MA, et al. A framework for health numeracy: how patients use quantitative skills in health care. J Health Commun. 2008 ; 13 (5). 501-17
40. Ashida S, Goodman M, Pandya C, et al. Age differences in genetic knowledge, health literacy and causal beliefs for health conditions. Public Health Genomics. 2011 ; 14 (4-5). 307-16
41. Orne MT. On the social psychology of the psychological experiment: with particular reference to demand characteristics and their implications. Am Psychol. 1962 ; 17: 776-83
42. Nichols AL, Maner JK. The good-subject effect: investigating participant demand characteristics. J Gen Psychol. 2008 ; 135 (2). 151-65
43. Kutner M, Greenberg E, Jin Y, Paulsen C The Health Literacy of America's Adults: Results From the 2003 National Assessment of Adult Literacy. Washington, DC: US Department of Education, National Center for Education Statistics ; 2006: