The American Heart Association Life's Simple 7 and Incident Cognitive Impairment: The REasons for Geographic And Racial Differences in Stroke (REGARDS) Study
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V. Wadley | V. Howard | M. Cushman | S. Judd | F. Unverzagt | E. Thacker | L. McClure | S. Gillett | Sarah R. Gillett
[1] V. Howard,et al. Over-the-counter and prescription sleep medication and incident stroke: the REasons for Geographic and Racial Differences in Stroke study. , 2014, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.
[2] V. Vaccarino,et al. Life’s Simple 7 and Risk of Incident Stroke: The Reasons for Geographic and Racial Differences in Stroke Study , 2013, Stroke.
[3] D. Jacobs,et al. Cardiovascular health through young adulthood and cognitive functioning in midlife , 2013, Annals of neurology.
[4] R. Sacco,et al. Ideal Cardiovascular Health Predicts Lower Risks of Myocardial Infarction, Stroke, and Vascular Death Across Whites, Blacks, and Hispanics: The Northern Manhattan Study , 2012, Circulation.
[5] Glenn E. Smith,et al. Predicting functional ability in mild cognitive impairment with the Dementia Rating Scale-2 , 2012, International Psychogeriatrics.
[6] C. Moy,et al. Vascular risk factors and cognitive impairment in a stroke-free cohort , 2011, Neurology.
[7] C. Moy,et al. Incident cognitive impairment is elevated in the stroke belt: The REGARDS Study , 2011, Annals of neurology.
[8] R. Sacco. Achieving ideal cardiovascular and brain health: opportunity amid crisis: Presidential Address at the American Heart Association 2010 Scientific Sessions. , 2011, Circulation.
[9] A. Folsom,et al. Community prevalence of ideal cardiovascular health, by the American Heart Association definition, and relationship with cardiovascular disease incidence. , 2011, Journal of the American College of Cardiology.
[10] C. Moy,et al. Disparities in stroke incidence contributing to disparities in stroke mortality , 2011, Annals of neurology.
[11] Mike R. Schoenberg,et al. Defining mild cognitive impairment: impact of varying decision criteria on neuropsychological diagnostic frequencies and correlates. , 2010, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.
[12] L. Vaughan,et al. Executive function in daily life: Age-related influences of executive processes on instrumental activities of daily living. , 2010, Psychology and aging.
[13] V. Howard,et al. Calculating Cornell voltage from nonstandard chest electrode recording site in the Reasons for Geographic And Racial Differences in Stroke study. , 2010, Journal of electrocardiology.
[14] D. Mozaffarian,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 , 2010, Circulation.
[15] Kristine Yaffe,et al. Promising strategies for the prevention of dementia. , 2009, Archives of neurology.
[16] V. Howard,et al. Implications of increased C-reactive protein for cardiovascular risk stratification in black and white men and women in the US. , 2009, Clinical chemistry.
[17] D. Singer,et al. Antithrombotic therapy in atrial fibrillation: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition). , 2008, Chest.
[18] A. Hofman,et al. Measuring Cognitive Function With Age: The Influence of Selection by Health and Survival , 2008, Epidemiology.
[19] J. Zbilut,et al. Women tolerate drug therapy for coronary artery disease as well as men do, but are treated less frequently with aspirin, beta-blockers, or statins. , 2008, Gender medicine.
[20] M. Aguilar,et al. Meta-analysis: Antithrombotic Therapy to Prevent Stroke in Patients Who Have Nonvalvular Atrial Fibrillation , 2007, Annals of Internal Medicine.
[21] Stef van Buuren,et al. Multiple imputation of discrete and continuous data by fully conditional specification , 2007 .
[22] S. van Buuren. Multiple imputation of discrete and continuous data by fully conditional specification , 2007, Statistical methods in medical research.
[23] A. Zaslavsky,et al. Relationship between quality of care and racial disparities in Medicare health plans. , 2006, JAMA.
[24] Dan M. Roden,et al. ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: A report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines , 2006 .
[25] G. Lip,et al. Patient knowledge and perceptions of atrial fibrillation and anticoagulant therapy: effects of an educational intervention programme. The West Birmingham Atrial Fibrillation Project. , 2006, International journal of cardiology.
[26] A. Vanderplas,et al. Treatment patterns and real-world effectiveness of warfarin in nonvalvular atrial fibrillation within a managed care system* , 2005, Current medical research and opinion.
[27] C. Moy,et al. The Reasons for Geographic and Racial Differences in Stroke Study: Objectives and Design , 2005, Neuroepidemiology.
[28] H. Tuokko,et al. A comparison of methods for measuring cognitive change in older adults. , 2005, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.
[29] Mark Woodward,et al. Imputations of missing values in practice: results from imputations of serum cholesterol in 28 cohort studies. , 2004, American journal of epidemiology.
[30] P. O'Brien,et al. Reliability of the Questionnaire for Verifying Stroke-Free Status , 2003, Cerebrovascular Diseases.
[31] Yuchiao Chang,et al. Anticoagulation therapy for stroke prevention in atrial fibrillation: how well do randomized trials translate into clinical practice? , 2003, JAMA.
[32] K. Bennett,et al. Evidence for an age and gender bias in the secondary prevention of ischaemic heart disease in primary care. , 2003, British journal of clinical pharmacology.
[33] Christopher M Callahan,et al. Six-Item Screener to Identify Cognitive Impairment Among Potential Subjects for Clinical Research , 2002, Medical care.
[34] M. Rich,et al. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. , 2001, JAMA.
[35] L. Williams,et al. Validating the Questionnaire for Verifying Stroke-Free Status (QVSFS) by Neurological History and Examination , 2001, Stroke.
[36] D. Singer,et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. , 2001, JAMA.
[37] L. Kalra,et al. Prospective cohort study to determine if trial efficacy of anticoagulation for stroke prevention in atrial fibrillation translates into clinical effectiveness , 2000, BMJ : British Medical Journal.
[38] E. Tangalos,et al. Diagnostic accuracy of four approaches to interpreting neuropsychological test data. , 2000, Neuropsychology.
[39] D. Singer,et al. Warfarin Use among Ambulatory Patients with Nonvalvular Atrial Fibrillation: The AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study , 1999, Annals of Internal Medicine.
[40] M. Kamalesh,et al. Management of atrial fibrillation. , 1992, The New England journal of medicine.
[41] O. Selnes. A Compendium of Neuropsychological Tests , 1991, Neurology.
[42] J. Morris,et al. The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assesment of Alzheimer's disease , 1989, Neurology.
[43] G Block,et al. A data-based approach to diet questionnaire design and testing. , 1986, American journal of epidemiology.