Smoking and white matter hyperintensity progression: The ARIC-MRI Study

Neurology

Volumn 84, Issue 8, 2015, Pages 841-848

  Power, Melinda C ^b   Deal, Jennifer A ^b   Sharrett, A Richey ^b   Jack, Clifford R ^c   Knopman, David ^c   Mosley, Thomas H ^d   Gottesman, Rebecca F ^a,b  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c MAYO CLINIC   (United States)

^d UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; BLACK PERSON; CAUCASIAN; COHORT ANALYSIS; DIABETES MELLITUS; DISEASE COURSE; EDUCATIONAL STATUS; FEMALE; FOLLOW UP; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; PROSPECTIVE STUDY; RACE DIFFERENCE; SELF REPORT; SENSITIVITY ANALYSIS; SMOKING; SMOKING CESSATION; WHITE MATTER HYPERINTENSITY; WHITE MATTER LESION; ADVERSE EFFECTS; ETHNOLOGY; HEALTH SURVEY; INTRACRANIAL ARTERIOSCLEROSIS; MIDDLE AGED; PATHOLOGY; PROCEDURES; RISK FACTOR; TRENDS; WHITE MATTER;

AFRICAN CONTINENTAL ANCESTRY GROUP; AGED; COHORT STUDIES; DISEASE PROGRESSION; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HUMANS; INTRACRANIAL ARTERIOSCLEROSIS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; POPULATION SURVEILLANCE; PROSPECTIVE STUDIES; RISK FACTORS; SMOKING; WHITE MATTER;

EID: 84923677660     PISSN: 00283878     EISSN: 1526632X     Source Type: Journal    
DOI: 10.1212/WNL.0000000000001283     Document Type: Article

References (29)

1. Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 2013;12:822-838
2. Schmidt R, Scheltens P, Erkinjuntti T, et al. White matter lesion progression: a surrogate endpoint for trials in cerebral small-vessel disease. Neurology 2004;63:139-144
3. Zeevi N, Pachter J, McCullough LD, Wolfson L, Kuchel GA. The blood-brain barrier: geriatric relevance of a critical brain-body interface. J Am Geriatr Soc 2010; 58:1749-1757
4. Bots ML, Breteler MMB, Hofman A, et al. Cerebral white matter lesions and atherosclerosis in the Rotterdam Study. Lancet 1993;341:1232-1237
5. van Swieten JC, Kappelle LJ, Algra A, van Latum JC, Koudstaal PJ, van Gijn J. Hypodensity of the cerebral white matter in patients with transient ischemic attack or minor stroke: influence on the rate of subsequent stroke. Dutch TIA Trial Study Group. Ann Neurol 1992;32:177-183
6. Murray AD, Staff RT, Shenkin SD, Deary IJ, Starr JM, Whalley LJ. Brain white matter hyperintensities: relative importance of vascular risk factors in nondemented elderly people. Radiology 2005;237:251-257
7. Jeerakathil T, Wolf PA, Beiser A, et al. Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study. Stroke 2004;35:1857-1861
8. Longstreth WT, Manolio TA, Arnold A, et al. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people: the Cardiovascular Health Study. Stroke 1996;27:1274-1282
9. Liao D, Cooper L, Cai J, et al. The prevalence and severity of white matter lesions, their relationship with age, ethnicity, gender, and cardiovascular disease risk factors: the ARIC Study. Neuroepidemiology 1997;16:149-162
10. Fukuda H, Kitani M. Cigarette smoking is correlated with the periventricular hyperintensity grade on brain magnetic resonance imaging. Stroke 1996;27:645-649
11. Kim S, Yun CH, Lee SY, Choi KH, Kim M, Park HK. Age-dependent association between cigarette smoking on white matter hyperintensities. Neurol Sci 2012;33:45-51
12. Silbert LC, Howieson DB, Dodge H, Kaye JA. Cognitive impairment risk: white matter hyperintensity progression matters. Neurology 2009;73:120-125
13. Knopman DS, Penman AD, Catellier DJ, et al. Vascular risk factors and longitudinal changes on brain MRI: the ARIC Study. Neurology 2011;76:1879-1885
14. Longstreth WT, Arnold AM, Beauchamp NJ, et al. Incidence, manifestations, and predictors of worsening white matter on serial cranial magnetic resonance imaging in the elderly: the Cardiovascular Health Study. Stroke 2005;36: 56-61
15. van Dijk EJ, Prins ND, Vrooman HA, Hofman A, Koudstaal PJ, Breteler MMB. Progression of cerebral small vessel disease in relation to risk factors and cognitive consequences: Rotterdam Scan Study. Stroke 2008;39:2712-2719
16. Debette S, Seshadri S, Beiser A, et al. Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline. Neurology 2011;77:461-468
17. Andoh J, Verhulst S, GaneshM, Hopkins-Price P, Edson B, Sood A. Sex-and race-related differences among smokers using a national helpline are not explained by socioeconomic status. J Natl Med Assoc 2008;100:200-207
18. Kiefe CI, Williams OD, Lewis CE, Allison JJ, Sekar P, Wagenknecht LE. Ten-year changes in smoking among young adults: are racial differences explained by socioeconomic factors in the CARDIA Study? Am J Public Health 2001;91:213-218
19. Mosley TH Jr, Knopman DS, Catellier DJ, et al. Cerebral MRI findings and cognitive functioning: the Atherosclerosis Risk in Communities Study. Neurology 2005;64: 2056-2062
20. Gottesman RF, Coresh J, Catellier DJ, et al. Blood pressure and white-matter disease progression in a biethnic cohort: Atherosclerosis Risk in Communities (ARIC) Study. Stroke 2010;41:3-8
21. Manolio TA, Kronmal RA, Burke GL, et al. Magnetic resonance abnormalities and cardiovascular disease in older adults: the Cardiovascular Health Study. Stroke 1994;25: 318-327
22. White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med 2011;30:377-399
23. Hernan MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology 2000;11:561-570
24. Power MC, Tchetgen EJ, Sparrow D, Schwartz J, Weisskopf MG. Blood pressure and cognition: factors that may account for their inconsistent association. Epidemiology 2013;24:886-893
25. Weuve J, Tchetgen Tchetgen EJ, Glymour MM, et al. Accounting for bias due to selective attrition: the example of smoking and cognitive decline. Epidemiology 2012;23: 119-128
26. Tchetgen Tchetgen EJ, Glymour MM, Shpitser I, Weuve J. To weight or not to weight? On the relation between inverse-probability weighting and stratification for truncation by death. Epidemiology 2012;23:132-137
27. Chaix B, Evans D, Merlo J, Suzuki E. Weighting up the dead and missing: reflections on inverse-probability weighting and principle stratification to address truncation by death. Epidemiology 2012;23:129-131
28. Shah D. Healthy worker effect phenomenon. Indian J Occup Environ Med 2009;13:77-79
29. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 2010;341: c3666.