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Commonsense illness beliefs, adherence behaviors, and hypertension control among African Americans

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Abstract

Hypertension, particularly among African Americans, has been increasing in importance in the past 10 years. One aspect of this problem is poor disease management. This study examined illness beliefs, behaviors, and hypertension control among 102 African American outpatients. Participants were interviewed about their commonsense beliefs concerning hypertension and its management in accordance with Leventhal’s commonsense model of self-regulation (CSM). Also assessed were medication adherence, stress-reducing behaviors, and lifestyle behaviors recommended for blood pressure control. Blood pressure was measured at about the time of interviewing. Results indicated that endorsement of a medical belief model of hypertension (i.e., caused and controlled by factors such as diet, age, and weight) was cross-sectionally associated with lower systolic blood pressure, a relationship that was statistically mediated by lifestyle behaviors (e.g., cut down salt, exercise). Endorsement of a stress belief model (i.e., stress is the main factor in hypertension cause and control) was associated with engagement in stress-related behaviors but not with blood pressure. These results further support the utility of the CSM for understanding patients’ disease management behaviors.

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Notes

  1. There were nonsystematic missing data values for some interview items. In these instances, the sample mean for that variable was substituted. If the data were missing for a categorical variable (i.e., the patient’s belief that the disease is chronic, acute, or cyclical) then the subject was dropped from all analyses. All analyses were repeated with the subsample of participants that had complete data, N = 79. The results did not differ from those obtained for the full sample, N = 102.

  2. In initial regression analyses, elapsed time between blood pressure reading and interview was entered in the regression models and it did not influence the results. It was dropped from subsequent analyses.

References

  • Balazovjech, I., & Hnilica, P., Jr. (1993). Compliance with antihypertensive treatments in consultations rooms for hypertensive patients. Journal of Human Hypertension, 7, 581–583.

    PubMed  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1985). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182. doi:10.1037/0022-3514.51.6.1173.

    Article  Google Scholar 

  • Blumenthal, J. A., Sherwood, A., LaCaille, L. J., Georgiades, A., Goyal, T. (2005). Lifestyle approaches to the treatment of hypertension. In N. A Cummings, W. T. O’Donohue, & E. V. Naylor (Eds.), Psychological approaches to chronic disease management. Reno, NV: Context Press.

  • Center for Disease Control and Prevention. (2005). Racial/ethnic disparities in prevalence, treatment and control of hypertension - United States. Morbidity and Mortality Weekly Report, 54, 7–9.

    Google Scholar 

  • Chapman, R. H., Benner, J. S., Petrilla, A. A., Tierce, J. C., Collins, S. R., Battleman, D. S., et al. (2005). Predictors of adherence with antihypertensive and lipid-lowering therapy. Archives of Internal Medicine, 165, 1147–1152. doi:10.1001/archinte.165.10.1147.

    Article  PubMed  Google Scholar 

  • Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jr., et al. (2003). The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA: Journal of the American Medical Association, 289, 1479–1485.

    Article  Google Scholar 

  • Cooper, A., Lloyd, G., Weinman, J., & Jackson, G. (1999). Why patients do not attend cardiac rehabilitation: role of intentions and illness beliefs. Heart (British Cardiac Society), 82, 234–236.

    Google Scholar 

  • Cushman, W. C., Ford, C. E., Cutler, J. A., Margolis, K. L., Davis, B. R., et al. (2002). Success and predictors of blood pressure control in diverse North American settings: the antihypertensive lipid-lowering treatment to prevent heart attack trial (ALLHAT). Journal of Clinical Hypertension, 3, 137–146.

    Google Scholar 

  • Denton, T. A., Fonarow, G. C., LaBresh, K. A., & Trento, A. (2003). Secondary prevention after coronary bypass: The American Heart Association “get with the guidelines” program. The Annals of Thoracic Surgery, 75, 758–760. doi:10.1016/S0003-4975(02)04885-3.

    Article  PubMed  Google Scholar 

  • de Valle, M. N., & Norman, P. (1992). Causal attributions, health locus of control beliefs and lifestyle changes among pre-operative coronary patients. Psychology & Health, 7, 201–211. doi:10.1080/08870449208520021.

    Article  Google Scholar 

  • Dickinson, H. O., Mason, J. M., Nicolson, D. J., Campbell, F., Beyer, F. R., Cook, J. V., et al. (2006). Lifestyle interventions to reduce raised blood pressure: A systematic review of randomized controlled trials. Journal of Hypertension, 24, 215–233.

    Article  PubMed  Google Scholar 

  • Diefenbach, M. A., & Leventhal, H. (1996). The common-sense model of illness representation: Theoretical and practical considerations. Journal of Social Distress and the Homeless, 5, 11–38. doi:10.1007/BF02090456.

    Article  Google Scholar 

  • French, D. P., Marteau, T., Weinman, J., & Senior, V. (2004). Explaining differences in causal attributions of patient and non-patient samples. Psychology Health and Medicine, 9, 259–272. doi:10.1080/13548500410001721837.

    Article  Google Scholar 

  • French, D. P., James, D., Horne, R., & Weinman, J. (2005). Causal beliefs and behaviour change post-myocardial infarction: How are they related? British Journal of Health Psychology, 10, 167–182. doi:10.1348/135910705X26722.

    Article  PubMed  Google Scholar 

  • Gump, B. B., Matthews, K. A., Scheier, M. F., Schulz, R., Bridges, M. W., & Magovern, G. J. (2001). Illness representations according to age and effects on health behaviors following coronary artery bypass graft surgery. Journal of the American Geriatrics Society, 49, 284–289. doi:10.1046/j.1532-5415.2001.4930284.x.

    Article  PubMed  Google Scholar 

  • Hagger, M. S., & Orbell, S. (2003). A meta-analytic review of the common-sense model of illness representations. Psychology & Health, 18, 141–184. doi:10.1080/088704403100081321.

    Article  Google Scholar 

  • Hajjar, I., Kotchen, J. M., & Kotchen, T. A. (2006). Hypertension: Trends in prevalence, incidence, and control. Annual Review of Public Health, 27, 465–490. doi:10.1146/annurev.publhealth.27.021405.102132.

    Article  PubMed  Google Scholar 

  • Heurtin-Roberts, S., & Reisin, E. (1990). Health beliefs and compliance with prescribed medication among black women – New Orleans, 1985–1986. Morbidity and Mortality Weekly Report, 39, 701–703.

    Google Scholar 

  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151. doi:10.1177/001316446002000116.

    Article  Google Scholar 

  • Kirscht, J. P., & Rosenstock, I. M. (1977). Patient adherence to antihypertensive medical regimens. Journal of Community Health, 3, 115–124. doi:10.1007/BF01674233.

    Article  PubMed  Google Scholar 

  • Kleinman, A. (1980). Patients and healers in the context of culture. Berkeley, CA: University of California Press.

    Google Scholar 

  • Leventhal, H., Nerenz. D. R., & Steele, D. S. (1984) Illness representations and coping with health threats. In A. T. Baum, S. E. Taylor, & Singer, J. E. (Eds.), Handbook of psychology and health (vol. 4, pp. 219–252). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83–104. doi:10.1037/1082-989X.7.1.83.

    Article  PubMed  Google Scholar 

  • MacKinnon, D. P., Fritz, M. S., Williams, J., & Lockwood, C. M. (2007). Distribution of the product confidence limits for the indirect effect: Program PRODCLIN. Behavior Research Methods, 39, 384–389.

    PubMed  Google Scholar 

  • Meyer, D., Leventhal, H., & Gutmann, M. (1985). Common-sense models of illness: The example of hypertension. Health Psychology, 4, 115–135. doi:10.1037/0278-6133.4.2.115.

    Article  PubMed  Google Scholar 

  • Nelson, E. C., Stason, W. B., Neutra, R. R., Solomon, H. S., & McArdle, P. J. (1978). Impact of patient perceptions on compliance with treatment for hypertension. Medical Care, 16, 893–906. doi:10.1097/00005650-197811000-00001.

    Article  PubMed  Google Scholar 

  • Osterberg, L., & Blaschke, T. (2005). Adherence to medication. The New England Journal of Medicine, 353, 487–497. doi:10.1056/NEJMra050100.

    Article  PubMed  Google Scholar 

  • Ross, S., Walker, A., & MacLeod, M. J. (2004). Patient compliance in hypertension: Role of illness perceptions and treatment beliefs. Journal of Human Hypertension, 18, 607–613. doi:10.1038/sj.jhh.1001721.

    Article  PubMed  Google Scholar 

  • Stamler, J., Stamler, R., Riedlinger, W. F., Algera, G., & Roberts, R. H. (1976). Hypertension screening of 1 million Americans: Community Hypertension Evaluation Clinic (CHEC) program, 1973–1975. Journal of the American Medical Association, 235, 2299–2306. doi:10.1001/jama.235.21.2299.

    Article  PubMed  Google Scholar 

  • Steiger, J. H. (1979). Factor indeterminacy in the 1930s and the 1970s: Some interesting parallels. Psychometrika, 44, 157–167. doi:10.1007/BF02293967.

    Article  Google Scholar 

  • Thompson, F. E., Midthune, D., Subar, A. F., Kahle, L. L., Schatzkin, A., & Kipnis, V. (2004). Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fiber. Public Health Nutrition, 7, 1097–1105. doi:10.1079/PHN2004642.

    Article  PubMed  Google Scholar 

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Acknowledgements

This study was funded by a grant from the National Institute of Aging: P20AG012072.

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Correspondence to Richard J. Contrada.

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Hekler, E.B., Lambert, J., Leventhal, E. et al. Commonsense illness beliefs, adherence behaviors, and hypertension control among African Americans. J Behav Med 31, 391–400 (2008). https://doi.org/10.1007/s10865-008-9165-4

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  • DOI: https://doi.org/10.1007/s10865-008-9165-4

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