White matter hyperintensities and medication adherence

Biological Research for Nursing

Volumn 10, Issue 2, 2008, Pages 121-127

  Insel, Kathleen C ^a   Reminger, Sheryl L ^b   Hsiao, Chao Pin ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b UNIVERSITY OF ILLINOIS AT SPRINGFIELD   (United States)

Author keywords

Cognitive; Executive function; Hypertension; Medication adherence; MRI; White matter hyperintensities (WMH)

Indexed keywords

AGED; ARTICLE; BRAIN; DRUG THERAPY; FEMALE; HUMAN; MALE; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATIENT COMPLIANCE;

AGED; AGED, 80 AND OVER; BRAIN; DRUG THERAPY; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATIENT COMPLIANCE;

EID: 52349103826     PISSN: 10998004     EISSN: 15524175     Source Type: Journal    
DOI: 10.1177/1099800408322216     Document Type: Article

References (44)

1. Ainsworth, J.W. (2002). Why does it take a village? The mediation of neighborhood effects on educational achievement. Social Forces, 81, 117.
2. Basile, A.M., Pantoni, L., Pracucci, G., Asplund, K., Chabriat, H., Erkinjuntti, T., et al. (2006). Age, hypertension, and lacunar stroke are the major determinants of the severity of age-related white matter changes. The LADIS (Leukoaraiosis and Disability in the Elderly) Study. Cerebrovascular Diseases, 21, 315-322.
3. Breteler, M.M., van Swieten, J.C., Bots, M.L., Grobbee, D.E., Claus, J.J., van den Hout, J.H., et al. (1994). Cerebral white matter lesions, vascular risk factors, and cognitive function in a population-based study: The Rotterdam Study. Neurology, 44, 1246-1252.
4. Cohen, J., & Cohen, P. (1983). Applied multiple regression/ correlation analysis for the behavioral sciences (2 nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
5. Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3 rd ed.). Mahwah, NJ: Lawrence Erlbaum.
6. De Groot, J.C., De Leeuw, F.E., Oudkerk, M., Van Gijn, J., Hofman, A., Jolles, J., et al. (2002). Periventricular cerebral white matter lesions predict rate of cognitive decline. Annals of Neurology, 52, 335-341.
7. de Leeuw, F.E., de Groot, J.C., Oudkerk, M., Witteman, J.C., Hofman, A., van Gijn, J., et al. (2002). Hypertension and cerebral white matter lesions in a prospective cohort study. Brain, 125 (Pt. 4). 765-772.
8. de Leeuw, F.E., de Kleine, M., Frijns, C.J., Fijnheer, R., van Gijn, J., & Kappelle, L.J. (2002). Endothelial cell activation is associated with cerebral white matter lesions in patients with cerebrovascular disease. Annals of the New York Academy of Sciences, 977, 306-314.
9. Deary, I.J., Leaper, S.A., Murray, A.D., Staff, R.T., & Whalley, L.J. (2003). Cerebral white matter abnormalities and lifetime cognitive change: A 67-year follow-up of the Scottish Mental Survey of 1932. Psychology & Aging, 18, 140-148.
10. Dufouil, C., de Kersaint-Gilly, A., Besancon, V., Levy, C., Auffray, E., Brunnereau, L., et al. (2001). Longitudinal study of blood pressure and white matter hyperintensities: The EVA MRI Cohort. Neurology, 56, 921-926.
11. Elias, M.F., Wolf, P.A., D'Agostino, R.B., Cobb, J., & White, L.R. (1993). Untreated blood pressure level is inversely related to cognitive functioning: The Framing-ham Study. American Journal of Epidemiology, 138, 353-364.
12. Folstein, M.F., Folstein, S.E., & McHugh, P.R. (1975). ''Mini-mental state.'' A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189-198.
13. Greve, K.W. (2001). The WCST-64: A standardized short-form of the Wisconsin Card Sorting Test. Clinical Neuropsychologist, 15, 228-234.
14. Grissom, R.J., & Kim, J.J. (2005). Effect sizes for research. Mahwah, NJ, Lawrence Erlbaum.
15. Gunning-Dixon, F.M., & Raz, N. (2003). Neuroanatomical correlates of selected executive functions in middle-aged and older adults: A prospective MRI study. Neuropsychologia, 41, 1929-1941.
16. Heaton, R.K., Chelune, G.J., Talley, J.L., Kay, G.G., & Curtis, G. (1993). Wisconsin card sorting test (WCST) manual revised and expanded. Odessa, FL: Psychological Assessment Resources.
17. Hjerkinn, E.M., Seljeflot, I., Sandvik, L., Hjermann, I., & Arnesen, H. (2005). Markers of endothelial cell activation in elderly men at high risk for coronary heart disease. Scandinavian. Journal of Clinical & Laboratory Investigation, 65, 201-209.
18. Hoth, K.F., Tate, D.F., Poppas, A., Forman, D.E., Gunstad, J., Moser, D.J., et al. (2007). Endothelial function and white matter hyperintensities in older adults with cardiovascular disease. Stroke, 38, 308-312.
19. Insel, K., Morrow, D., Brewer, B., & Figueredo, A. (2006). Executive function, working memory, and medication adherence among older adults. Journals of Gerontology Series B Psychological Sciences & Social Sciences, 61, 102-107.
20. Inzitari, D., Carlucci, G., & Pantoni, L. (2000). White matter changes: The clinical consequences in the aging population. Journal of Neural Transmission, 59 (Suppl). 1-8.
21. Inzitari, D., Simoni, M., Pracucci, G., Poggesi, A., Basile, A.M., Chabriat, H., et al. (2007). Risk of rapid global functional decline in elderly patients with severe cerebral age-related white matter changes: The LADIS study. Archives of Internal Medicine, 167, 81-88.
22. Jokinen, H., Kalska, H., Mntyl, R., Ylikoski, R., Hietanen, M., Pohjasvaara, T., et al. (2005). White matter hyperintensities as a predictor of neuropsychological deficits post-stroke. Journal of Neurology, Neurosurgery & Psychiatry, 76, 1229-1233.
23. Komatsu, S., Panes, J., Russell, J.M., Anderson, D.C., Muzykantov, V.R., Miyasaka, M., et al. (1997). Effects of chronic arterial hypertension on constitutive and induced intercellular adhesion molecule-1 expression in vivo. Hypertension, 29, 683-689.
24. Leaper, S.A., Murray, A.D., Lemmon, H.A., Staff, R.T., Deary, I.J., Crawford, J.R., et al. (2001). Neuropsychologic correlates of brain white matter lesions depicted on MR images: 1921 Aberdeen Birth Cohort. Radiology, 221, 51-55.
25. Lezak, M.D., Howieson, D.B., & Loring, D.W. (2004). Neuropsychological assessment (4 th ed.). New York: Oxford University Press.
26. Leventhal, T., & Brooks-Gunn, J. (2003). Moving on up: Neighborhood effects on children and families. In M. H. Bronstein, & R. H. Bradley (Eds.), Socioeconomic Status, Parenting, and Child Development (pp. 201-228). Mahwah, NJ: Lawrence Erlbaum, pp. 201-228.
27. Markus, H.S., Hunt, B., Palmer, K., Enzinger, C., Schmidt, H., & Schmidt, R. (2005). Markers of endothelial and hemostatic activation and progression of cerebral white matter hyperintensities: Longitudinal results of the Austrian Stroke Prevention Study. Stroke, 36, 1410-1414.
28. McDowell, I., & Newell, C. (1996). Measuring health, a guide to rating scales and questionnaires (2 nd ed.). New York: Oxford University Press.
29. Murray, A.D., Staff, R.T., Shenkin, S.D., Deary, I.J., Starr, J.M., & Whalley, L.J. (2005). Brain white matter hyperintensities: Relative importance of vascular risk factors in nondemented elderly people. Radiology, 237, 251-257.
30. Nadar, S., Blann, A.D., & Lip, G.Y. Endothelial dysfunction: Methods of assessment and application to hypertension. Current Pharmaceutical Design, 10, 3591-3605.
31. Pantoni, L. (2002). Pathophysiology of age-related cerebral white matter changes. Cerebrovascular Diseases, 2, 7-10.
32. Pantoni, L., Basile, A.M., Pracucci, G., Asplund, K., Bogousslavsky, J., Chabriat, H., et al. (2005). Impact of age-related cerebral white matter changes on the transition to disability-the LADIS study: Rationale, design and methodology. Neuroepidemiology, 24, 51-62.
33. Radloff, L.S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401.
34. Raz, N., Rodrigue, K.M., & Acker, J.D. (2003). Hypertension and the brain: Vulnerability of the prefrontal regions and executive functions. Behavioral Neuroscience, 117, 1169-1180.
35. Rezek, D.L., Morris, J.C., Fulling, K.H., & Gado, M.H. (1987). Periventricular white matter lucencies in senile dementia of the Alzheimer type and in normal aging. Neurology, 37, 1365-1368.
36. Royall, D.R., Mahurin, R.K., & Gray, K. (1992). Bedside assessment of executive cognitive impairment: The executive interview. Journal of the American Geriatrics Society, 40, 1221-1226.
37. Soderlund, H., Nyberg, L., Adolfsson, R., Nilsson, L.G., & Launer, L.J. (2003). High prevalence of white matter hyperintensities in normal aging: Relation to blood pressure and cognition. Cortex, 39, 1093-1105.
38. Spreen, O., & Strauss, E. (1998). A compendium of neuropsychological tests. New York: Oxford University Press.
39. Strassburger, T.L., Lee, H.C., Daly, E.M., Szczepanik, J., Krasuski, J.S., Mentis, M.J., et al. (1997). Interactive effects of age and hypertension on volumes of brain structures. Stroke, 28, 1410-1417.
40. Swan, G.E., DeCarli, C., Miller, B.L., Reed, T., Wolf, P.A., Jack, L.M., et al. (1998). Association of midlife blood pressure to late-life cognitive decline and brain morphology. Neurology, 51, 986-993.
41. van Swieten, J.C., Geyskes, G.G., Derix, M.M., Peeck, B.M., Ramos, L.M., van Latum, J.C., et al. (1991). Hypertension in the elderly is associated with white matter lesions and cognitive decline. Annals of Neurology, 30, 825-830.
42. Waldstein, S.R. (1995). Hypertension and neuropsychological function: A lifespan perspective. Experimental Aging Research, 21, 321-352.
43. Wardlaw, J.M., Sandercock, P.A.G., Dennis, M.S., Starr, J., & Kalimo, H. Is breakdown of the blood-brain barrier responsible for lacunar stroke, leukoaraiosis, and dementia? Stroke, 34, 806-812.
44. Wechsler, D. (1997). Wechsler Memory Scale-Third Edition. San Antonio, TX, Psychological Corp., Harcourt Brace & Co.