Fatalism moderates the relationship between family history of cardiovascular disease and engagement in health-promoting behaviors among at-risk rural kentuckians

Journal of Rural Health

Volumn 31, Issue 2, 2015, Pages 206-216

  Mudd Martin, Gia ^a   Rayens, Mary Kay ^a   Lennie, Terry A ^a   Chung, Misook L ^a   Gokun, Yevgeniya ^a   Wiggins, Amanda T ^a   Biddle, Martha J ^a   Bailey, Alison L ^b   Novak, M J ^c   Casey, Baretta R ^d   Moser, Debra K ^a  

^a UNIVERSITY OF KENTUCKY COLLEGE OF NURSING   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

^c UNIVERSITY OF KENTUCKY COLLEGE OF DENTISTRY   (United States)

^d UNIVERSITY OF KENTUCKY COLLEGE OF PUBLIC HEALTH   (United States)

Author keywords

Cardiovascular disease; Family history; Fatalism; Health behaviors; Rural health

Indexed keywords

ADULT; AGED; ANAMNESIS; ATTITUDE TO HEALTH; CARDIOVASCULAR DISEASES; FEMALE; HEALTH BEHAVIOR; HUMAN; KENTUCKY; LIFESTYLE; MALE; MIDDLE AGED; PSYCHOLOGY; RISK FACTOR; RURAL POPULATION; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; CARDIOVASCULAR DISEASES; FEMALE; HEALTH BEHAVIOR; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; KENTUCKY; LIFE STYLE; LINEAR MODELS; MALE; MEDICAL HISTORY TAKING; MIDDLE AGED; RISK FACTORS; RURAL POPULATION; YOUNG ADULT;

EID: 84925944172     PISSN: 0890765X     EISSN: 17480361     Source Type: Journal    
DOI: 10.1111/jrh.12094     Document Type: Article

References (85)

1. Go AS, Mozaffarian D, Roger VL, et al. Heart disease and stroke statistics-2013 update: a report from the American Heart Association. Circulation. 2013;127(1):e6-e245.
2. O'Connor A, Wellenius G. Rural-urban disparities in the prevalence of diabetes and coronary heart disease. Public Health. 2012;126(10):813-820.
3. Jones CA, Parker TS, Ahearn M, Mishra AK, Variyam JN. Health Status and Health Care Access of Farm and Rural Populations. Washington, DC: United States Department of Agriculture; 2009. Available at: http://www.ers.usda.gov/publications/eib-economic-information-bulletin/eib57.aspx#.UmbCgsfD9u0. Accessed November 16, 2013.
4. Albuquerque SJ, Bobo B, Fegenbush M. Close to the Heart of Kentucky, 2009: A Report on the Status of Cardiovascular Disease in the Commonwealth of Kentucky. Frankfort, KY: Kentucky Department for Public Health; 2009. Available at: http://chfs.ky.gov/NR/rdonlyres/331A518C-6083--4DF9-81E1-0F38F507E19F/0/heartdiseaseprogramreportupdated05042010.pdf. Accessed November 1, 2013.
5. Kentucky Department for Public Health. Kentucky Area Development District (ADD) Profiles Behavioral Risk Factor Surveillance System (BRFSS) 2013. Frankfort, Kentucky; 2013. Available at: http://chfs.ky.gov/. Accessed March 25, 2014.
6. Maruthur NM, Wang N-Y, Appel LJ. Lifestyle interventions reduce coronary heart disease risk: results from the PREMIER Trial. Circulation. 2009;119(15):2026-2031.
7. Ford ES, Zhao G, Tsai J, Li C. Low-risk lifestyle behaviors and all-cause mortality: findings from the National Health and Nutrition Examination Survey III Mortality Study. Am J Public Health. 2011;101(10):1922-1929.
8. Lloyd-Jones DM, Hong Y, Labarthe D, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation. 2010;121(4):586-613.
9. Kentucky Institute of Medicine. The Health of Kentucky: A County Assessment. Lexington, KY; 2007. Available at: http://www.kyiom.org/healthky2007a.pdf. Accessed October 18, 2013.
10. Palomaki GE, Melillo S, Bradley LA. Association between 9p21 genomic markers and heart disease: a meta-analysis. JAMA. 2010;303(7):648-656.
11. Yiannakouris N, Katsoulis M, Dilis V, et al. Genetic predisposition to coronary heart disease and stroke using an additive genetic risk score: a population-based study in Greece. Atherosclerosis. 2012;222(1):175-179.
12. Matarin M, Brown WM, Singleton A, Hardy JA, Meschia JF. Whole genome analyses suggest ischemic stroke and heart disease share an association with polymorphisms on chromosome 9p21. Stroke. 2008;39(5):1586-1589.
13. Kathiresan S, Voight BF, Purcell S, et al. Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants. Nat Genet. 2009;41(3):334-341.
14. Ehret GB, Munroe PB, Rice KM, et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011;478(7367):103-109.
15. Breitling LP. Current genetics and epigenetics of smoking/tobacco-related cardiovascular disease. Arterioscler Thromb Vasc Biol. 2013;33(7):1468-1472.
16. O'Donnell CJ, Nabel EG. Genomics of cardiovascular disease. N Engl J Med. 2011;365(22):2098-2109.
17. Sundquist K, Winkleby M, Li X, Ji J, Hemminki K, Sundquist J. Familial [corrected] transmission of coronary heart disease: a cohort study of 80, 214 Swedish adoptees linked to their biological and adoptive parents. Am Heart J. 2011;162(2):317-323.
18. Mvundura M, McGruder H, Khoury MJ, Valdez R, Yoon PW. Family history as a risk factor for early-onset stroke/transient ischemic attack among adults in the United States. Public Health Genomics. 2010;13(1):13-20.
19. Wang TJ, Nam B-H, D'Agostino RB, et al. Carotid intima-media thickness is associated with premature parental coronary heart disease: the Framingham Heart Study. Circulation. 2003;108(5):572-576.
20. Ridker PM, Paynter NP, Rifai N, et al. C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men. Circulation. 2008;118(22):2243-2251.
21. Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 2007;297(6):611-619.
22. Greenland P, Alpert JS, Beller GA, et al. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2010;56(25):e50-e103.
23. Redberg RF, Benjamin EJ, Bittner V, et al. ACCF/AHA 2009 performance measures for primary prevention of cardiovascular disease in adults: a report of the American College of Cardiology Foundation/American Heart Association task force on performance measures (writing committee to develop performance measures for primary prevention of cardiovascular disease): developed in collaboration with the American Academy of Family Physicians; American Association of Cardiovascular and Pulmonary Rehabilitation; and Preventive Cardiovascular Nurses Association: endorsed by the American College of Preventive Medicine, American College of Sports Medicine, and Society for Women's Health Research. Circulation. 2009;120(13):1296-1336.
24. National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106(25):3143-3421.
25. Goldstein LB, Bushnell CD, Adams RJ, et al. Guidelines for the primary prevention of stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2011;42(2):517-584.
26. Schoenberg NE, Howell BM, Fields N. Community strategies to address cancer disparities in Appalachian Kentucky. Fam Community Health. 2012;35(1):31-43.
27. Senior V, Marteau TM, Peters TJ. Will genetic testing for predisposition for disease result in fatalism? A qualitative study of parents responses to neonatal screening for familial hypercholesterolaemia. Soc Sci Med. 1999;48(12):1857-1860.
28. 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.
29. Egede LE, Ellis C. Development and psychometric properties of the 12-item diabetes fatalism scale. J Gen Intern Med. 2010;25(1):61-66.
30. Shen L, Condit CM, Wright L. The psychometric property and validation of a fatalism scale. Psychol Health. 2009;24(5):597-613.
31. Neff JA, Hoppe SK. Race/ethnicity, acculturation, and psychological distress: fatalism and religiosity as cultural resources. J Community Psychol. 1993;21:3-20.
32. Wallston BS, Wallston KA, Kaplan GD, Maides SA. Development and validation of the health locus of control (HLC) scale. J Consult Clin Psychol. 1976;44(4):580-585.
33. Powe BD, Finnie R. Cancer fatalism: the state of the science. Cancer Nurs. 2003;26(6):454-465.
34. Niederdeppe J, Levy AG. Fatalistic beliefs about cancer prevention and three prevention behaviors. Cancer Epidemiol Biomarkers Prev. 2007;16(5):998-1003.
35. Fair AM, Wujcik D, Lin J-MS, et al. Psychosocial determinants of mammography follow-up after receipt of abnormal mammography results in medically underserved women. J Health Care Poor Underserved. 2010;21(suppl 1):71-94.
36. Walker RJ, Smalls BL, Hernandez-Tejada MA, Campbell JA, Davis KS, Egede LE. Effect of diabetes fatalism on medication adherence and self-care behaviors in adults with diabetes. Gen Hosp Psychiatry. 2012;34(6):598-603.
37. Osborn CY, Bains SS, Egede LE. Health literacy, diabetes self-care, and glycemic control in adults with type 2 diabetes. Diabetes Technol Ther. 2010;12(11):913-919.
38. Janz NK, Becker MH. The Health Belief Model: a decade later. Health Educ Q. 1984;11(1):1-47.
39. Conner M, Armitage CJ. Extending the theory of planned behavior: a review and avenues for further research. J Appl Soc Psychol. 1998;28(15):1429-1464.
40. Rogers RW. Cognitive and physiological processes in fear appeals and attitude change: a revised theory of protection motivation. In Cacioppo J, Petty R, eds. Social Psychophysiology. New York: Guilford Press; 1983.
41. Glanz K, Rimer BK, Viswanath K. Health Behavior and Health Education: Theory, Research, and Practice. 4th ed. San Francisco, CA: Jossey-Bass; 2008.
42. Katapodi MC, Dodd MJ, Lee KA, Facione NC. Underestimation of breast cancer risk: influence on screening behavior. Oncol Nurs Forum. 2009;36(3):306-314.
43. Gallivan J, Brown C, Greenberg R, Clark CM Jr. Predictors of perceived risk of the development of diabetes. Diabetes Spectr. 2009;22(3):163-169.
44. Acheson LS, Wang C, Zyzanski SJ, et al. Family history and perceptions about risk and prevention for chronic diseases in primary care: a report from the family healthware impact trial. Genet Med. 2010;12(4):212-218.
45. Austin LT, Ahmad F, McNally MJ, Stewart DE. Breast and cervical cancer screening in Hispanic women: a literature review using the Health Belief Model. Womens Health Issues. 2002;12(3):122-128.
46. Fair AM, Monahan PO, Russell K, Zhao Q, Champion VL. The interaction of perceived risk and benefits and the relationship to predicting mammography adherence in African American women. Oncol Nurs Forum. 2012;39(1):53-60.
47. Coburn AF, MacKinney, AC, McBride TD, Mueller KJ, Slifkin RT, Wakefield MK. Choosing Rural Definitions: Implications for Health Policy. Columbia, MO: Rural Policy Research Institute Health Panel; 2007. Available at: http://www.rupri.org/Forms/RuralDefinitionsBrief.pdf. Accessed November 11, 2012.
48. United States Department of Agriculture Economic Research Service. 2010 Rural-Urban Commuting Area Codes. Washington, DC: ERS, USDA. Available at: http://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx#.U62D9bE3d8E. 2011. Accessed January 24, 2012.
49. Mudd-Martin G, Biddle MJ, Chung ML, et al. Rural Appalachian perspectives on heart health: social ecological contexts. Am J Health Behav. 2014;38(1):134-143.
50. Heo S, Moser DK, Chung ML, Lennie TA. Social status, health-related quality of life, and event-free survival in patients with heart failure. Eur J Cardiovasc Nurs. 2012;11(2):141-149.
51. Samuel LJ, Szanton SL, Weiss CO, Thorpe RJ Jr, Semba RD, Fried LP. Financial strain is associated with malnutrition risk in community-dwelling older women. Epidemiol Res Int. 2012. doi: 10.1155/2012/696518. Available at http://www.hindawi.com/journals/eri/2012/696518/cta/. Accessed April 1, 2014.
52. Harley AE, Yang M, Stoddard AM, et al. Patterns and predictors of health behaviors among racially/ethnically diverse residents of low-income housing developments. Am J Health Promot. 2013. doi: 10.4278/ajhp.121009-QUAN-492. Available at: http://ajhpcontents.org/doi/pdf/10.4278/ajhp.121009-QUAN-492. Accessed April 1, 2014.
53. Wu J-R, Moser DK, Chung ML, Lennie TA. Predictors of medication adherence using a multidimensional adherence model in patients with heart failure. J Card Fail. 2008;14(7):603-614.
54. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383.
55. Pickering TG, Hall JE, Appel LJ, et al. Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation. 2005;111(5):697-716.
56. Dale RA, Jensen LH, Krantz MJ. Comparison of two point-of-care lipid analyzers for use in global cardiovascular risk assessments. Ann Pharmacother. 2008;42(5):633-639.
57. Shemesh T, Rowley KG, Shephard M, Piers LS, O'Dea K. Agreement between laboratory results and on-site pathology testing using Bayer DCA2000+ and Cholestech LDX point-of-care methods in remote Australian Aboriginal communities. Clin Chim Acta. 2006;367(1-2):69-76.
58. Hays RD. The Medical Outcomes Study (MOS) measures of patient adherence. Available at: http://www.rand.org/content/dam/rand/www/external/health/surveys_tools/mos/mos_adherence:survey.pdf. Accessed April, 2011.
59. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51(6):1173-1182.
60. Dulin PL. Social support as a moderator of the relationship between religious participation and psychological distress in a sample of community dwelling older adults. Ment Health Relig Cult. 2005;8(2):81-86.
61. Glover V, Bergman K, Sarkar P, O'Connor TG. Association between maternal and amniotic fluid cortisol is moderated by maternal anxiety. Psychoneuroendocrinology. 2009;34(3):430-435.
62. Kip KE, McCreath HE, Roseman JM, Hulley SB, Schreiner PJ. Absence of risk factor change in young adults after family heart attack or stroke: the CARDIA Study. Am J Prev Med. 2002;22(4):258-266.
63. Tavares P, Oliveira A, Lopes C. Family history of coronary heart disease, health care and health behaviors. Rev Port Cardiol. 2011;30(9):703-710.
64. Andersson P, Sjöberg RL, Ohrvik J, Leppert J. The effects of family history and personal experiences of illness on the inclination to change health-related behaviour. Cent Eur J Public Health. 2009;17(1):3-7.
65. McCusker ME, Yoon PW, Gwinn M, Malarcher AM, Neff L, Khoury MJ. Family history of heart disease and cardiovascular disease risk-reducing behaviors. Genet Med. 2004;6(3):153-158.
66. Collins RE, Wright AJ, Marteau TM. Impact of communicating personalized genetic risk information on perceived control over the risk: a systematic review. Genet Med. 2011;13(4):273-277.
67. Dorman JS, Valdez R, Liu T, et al. Health beliefs among individuals at increased familial risk for type 2 diabetes: implications for prevention. Diabetes Res Clin Pract. 2012;96(2):156-162.
68. Hunt K, Davison C, Emslie C, Ford G. Are perceptions of a family history of heart disease related to health-related attitudes and behaviour? Health Educ Res. 2000;15(2):131-143.
69. Newsom JT, Huguet N, McCarthy MJ, et al. Health behavior change following chronic illness in middle and later life. J Gerontol B Psychol Sci Soc Sci. 2012;67(3):279-288.
70. Veenstra M, Syse A. Health behaviour changes and onset of chronic health problems in later life. Nor Epidemiol. 2012;22(2):135-142.
71. Rizzuto D, Orsini N, Qiu C, Wang H-X, Fratiglioni L. Lifestyle, social factors, and survival after age 75: population based study. BMJ. 2012;345:e5568-e5568.
72. Schoenborn CA, Adams PF, Peregoy JA. Health behaviors of adults: United States, 2008-2010. National Center for Health Statistics. Vital Health Stat. 2013;10(257). http://www.cdc.gov/nchs/data/series/sr_10/sr10_257.pdf April 1, 2014.
73. Centers for Disease Control and Prevention. Facts about physical activity. Available at: http://www.cdc.gov/physicalactivity/data/facts.html. Accessed April 1, 2014.
74. Granger BB, Ekman I, Granger CB, et al. Adherence to medication according to sex and age in the CHARM programme. Eur J Heart Fail. 2009;11(11):1092-1098.
75. Lewey J, Shrank WH, Bowry ADK, Kilabuk E, Brennan TA, Choudhry NK. Gender and racial disparities in adherence to statin therapy: a meta-analysis. Am Heart J. 2013;165(5):665-678.
76. US Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau. Women's Health USA 2011. Rockville, MD, US Department of Health and Human Services; 2011. Available at: http://www.mchb.hrsa.gov/whusa11. Accessed April 7, 2014.
77. Holben DH, Pheley AM. Diabetes risk and obesity in food-insecure households in rural Appalachian Ohio. Prev Chronic Dis. 2006;3(3):A82-A82.
78. Pampel FC, Krueger PM, Denney JT. Socioeconomic disparities in health behaviors. Annu Rev Sociol. 2010;36:349-370.
79. Cutler DM, Lleras-Muney A. Understanding differences in health behaviors by education. Eur J Health Econ. 2010;29(1):1-28.
80. Stampfer MJ, Hu FB, Manson JE, Rimm EB, Willett WC. Primary prevention of coronary heart disease in women through diet and lifestyle. N Engl J Med. 2000;343(1):16-22.
81. Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364(9438):937-952.
82. United States Census Bureau. State and County QuickFacts. Washington, DC: US Department of Commerce; 2013. Available at: http://quickfacts.census.gov/qfd/index.html. Accessed December 28, 2013.
83. Bensen JT, Liese AD, Rushing JT, et al. Accuracy of proband reported family history: the NHLBI Family Heart Study (FHS). Genet Epidemiol. 1999;17(2):141-150.
84. Silberberg JS, Wlodarczyk J, Fryer J, Ray CD, Hensley MJ. Correction for biases in a population-based study of family history and coronary heart disease. The Newcastle Family History Study I. Am J Epidemiol. 1998;147(12):1123-1132.
85. Bochud M, Burnier M, Paccaud F, et al. Patients' sibling history was sensitive for hypertension and specific for diabetes. J Clin Epidemiol. 2004;57(5):497-501.