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(Stroke. 2002;33:1863.)
© 2002 American Heart Association, Inc.

Original Contributions

Cholesterol Predicts Stroke Mortality in the Women’s Pooling Project

Richard B. Horenstein, MD; Dean E. Smith, PhD Lori Mosca, MD, PhD for the Women’s Pooling Project Investigators

From the Department of Medicine, University of Maryland Medical System, Baltimore (R.B.H.); Department of Medicine, University of Michigan Health System, Ann Arbor (D.E.S.); and Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY (L.M.).

Correspondence to Lori Mosca, MD, PhD, Associate Professor of Medicine, Columbia University College of Physicians and Surgeons, New York–Presbyterian Hospital, 622 W 168th St, ICCR PH 10-203D, New York, NY 10032. E-mail ljm10{at}columbia.edu

	Abstract

Top Abstract Introduction Materials and Methods Results Discussion References

 
Background and Purpose— Cholesterol is emerging as a risk factor for stroke; however, few data are available regarding the relation of cholesterol and stroke mortality in women and ethnic minorities.

Methods— We evaluated the risk of death caused by total stroke, nonhemorrhagic stroke, and hemorrhagic stroke by race, age, and cholesterol quintile in 24 343 women with no previous cardiovascular disease who were participating in 8 US longitudinal, prospective, cohort studies included in the Women’s Pooling Project.

Results— We observed 568 stroke deaths (461 nonhemorrhagic, 83 hemorrhagic) for women 30 years of age without previous cardiovascular disease during 339 215 person-years of follow-up. In multivariate models, black women <55 years of age had a 76% increased risk of death caused by stroke compared with white women [relative risk (RR), 1.76; 95% confidence interval (CI), 1.10 to 2.81]. For black women <55 years of age, the top compared with the lowest cholesterol quintile (Q5 versus Q1) remained an independent predictor of stroke mortality (RR, 2.58; 95% CI, 1.05 to 6.32) in multivariate models. For white women <55 years of age, Q5 versus Q1 cholesterol did not predict stroke mortality with significance (RR, 1.47; 95% CI, 0.57 to 3.76). In analogous multivariate models, we found a positive relation between continuous cholesterol and nonhemorrhagic stroke death in women <55 years of age (RR, 1.23; 95% CI, 1.02 to 1.49).

Conclusions— Our results show that cholesterol is a risk factor for nonhemorrhagic stroke death in women <55 years of age and is more strongly associated with mortality in black women <55 years of age than in white women. These data document the importance of cholesterol in addition to established risk factors for predicting stroke mortality in young women and may guide prevention strategies.

Key Words: cholesterol • stroke prevention • women

	Introduction

Top Abstract Introduction Materials and Methods Results Discussion References

 
Stroke is the third leading cause of death in US women and is a major cause of disability.¹ The role of total cholesterol as a risk factor for stroke mortality in women is not fully established; most studies have been of insufficient sample size or duration to provide conclusive results.^2–4 Data from secondary prevention trials that have evaluated the role of statins in stroke risk lend support to a causal relationship between cholesterol and cerebrovascular disease.⁵ However, these clinical trials had few female and minority participants.⁶ Also, their reported results may not be due to cholesterol lowering, because statins have been shown to have beneficial nonlipid effects. Nevertheless, these data underscore the need for epidemiological evidence that examines more fully the link between cholesterol and stroke.

This study combines data from 8 long-term prospective studies with long-term follow-up to explore the relation between cholesterol and stroke death in women without previous cardiovascular disease (CVD) and to investigate how age, ethnicity, and stroke type modify this relation.

	Materials and Methods

Top Abstract Introduction Materials and Methods Results Discussion References

 
The Women’s Pooling Project is a prospective cohort study that combines data from 9 long-term epidemiological studies based in the United States. Data from 24 343 women participating in the Atherosclerosis Risk in Communities Study (ARIC), Charleston Heart Study, Evans County Study, Framingham Heart Study, National Health and Nutrition Examination Survey Epidemiologic Follow-Up Study (NHEFS), Rancho Bernardo Study, San Antonio Heart Study, and Tecumseh Community Health Study were combined for this analysis. Details of sampling procedures, study designs, and methods for these 8 cohorts are given elsewhere.^7–19 Women 30 years of age with no previous CVD were included. CVD was defined as a history of angina, myocardial infarction, or stroke based on cohort-specific definitions.

Stroke mortality determinations were cohort specific. Cohort studies with baseline evaluations in the 1960s (Charleston, Evans County, and Framingham) provided mortality data based on codes from revision 8 of the International Classification of Diseases (ICD), and the remaining cohorts provided deaths classified according to ICD revision 9.^20,21 Strokes (ICD codes 430 through 438) were categorized as hemorrhagic (ICD-9 codes 431 and 432, ICD-8 code 431) or nonhemorrhagic (ICD-9 codes 433 through 438, ICD-8 codes 432 through 438). There were 24 stroke deaths resulting from subarachnoid hemorrhage (ICD code 430); these were not analyzed separately but were included in the stroke death totals.

Total blood cholesterol was measured at baseline with cohort-specific methods (Table 1). Prevalent diabetes was defined by glucose parameters or treatment in all cohorts except NHEFS and the Charleston Study, which used self-reported physician diagnosis, and ARIC, which used a combination of these criteria. Age, education level, and ethnicity were assessed at baseline by cohort-specific standardized questionnaires. For the multivariate analysis, education was defined as less than high school education or high school graduation. Ethnicity was categorized as white (includes non-Hispanic whites), black, or Hispanic. Blood pressure measurements were based on the average of 2 blood pressure readings unless only 1 reading was available, in which case the single reading was used. Smoking was a derived variable categorized as current (based on individual study definition) or noncurrent (former smokers and those who had never smoked). Current smokers were divided into 2 groups based on whether they smoked >20 or <21 cigarettes per day.

View this table: [in this window] [in a new window]   Table 1. Description of Cohorts and Cholesterol Methods

Statistical Methods
Cholesterol was analyzed as a continuous measurement, and quintiles were created. The multivariate models were adjusted for age to account for age-related changes in cholesterol. We calculated age-adjusted death rates per 1000 person-years by ethnic group and/or baseline age stratum. Rates were standardized according to the age distribution for the entire number of person-years of follow-up. The whole study population in each age group served as the standard. Relative risks (RRs) and 95% confidence intervals (CIs) were obtained by fitting Cox proportional-hazards models. Separate models were created to assess the relation of blood cholesterol to total stroke, hemorrhagic stroke, and nonhemorrhagic stroke death in all women, white women, and black women, as well as among women <55 and those 55 years of age. Multivariate analysis was used to evaluate the effect of cholesterol on stroke mortality while simultaneously adjusting for age, systolic blood pressure, diabetes, body mass index, education, and ethnicity. All analyses were performed with SAS version 6.12.

	Results

Top Abstract Introduction Materials and Methods Results Discussion References

 
Baseline characteristics of the cohorts and participants are listed in Table 1. Our study included 24 343 women (77.7% white, 17.4% black, 4.9% Hispanic) with a mean age of 52.0±11.2 years (range, 30 to 97 years) and a total of 339 215 person-years of follow-up. Mean blood total cholesterol for the study population was 5.8 mmol/L. Mean and range of cholesterol levels within quintiles were as follows: Q1 (4.2 mmol/L; range, <4.8 mmol/L), Q2 (5.1 mmol/L; range, 4.8 to 5.4 mmol/L), Q3 (5.6 mmol/L; range, 5.4 to 5.9 mmol/L), Q4 (6.3 mmol/L; range, 5.9 to 6.7 mmol/L), and Q5 (7.6 mmol/L; range, >6.7 mmol/L).

The mortality experience of the black and white participants is shown in Table 2. Approximately 10% of the deaths in the study population were due to stroke (10.6%, n=568). Of the stroke deaths, 81% were categorized as nonhemorrhagic (81.2%, n=465) and 14% as hemorrhagic (14.6%, n=83). Of the 14 305 women whose baseline ages were 30 to 54 years with a mean age at entry of 44.3 years, stroke death occurred in 111 participants (0.8%), and the mean age of stroke death was 62.7 years. Of the 10 038 women with baseline ages of 55 years who had a mean age at entry of 62.7 years, 457 (4.6%) died of stroke, and the mean age of stroke death was 80.2 years. The age-adjusted death rates for all causes of mortality and for specific causes, including stroke, were higher for black women than white women. There were only 3 stroke deaths among Hispanic women, so they were not analyzed separately.

View this table: [in this window] [in a new window]   Table 2. Mortality by Ethnicity for Baseline Age Groups

In multivariate models adjusted for age, time period, blood pressure, diabetes, smoking level, cholesterol quintile, education level, and body mass index, black women with baseline ages of <55 years had a 76% increased risk for death caused by stroke compared with white women (RR, 1.76; 95% CI, 1.10 to 2.81) (Table 3). Excess stroke mortality was less marked, although still substantial, for older black women compared with older white women (RR, 1.48; 95% CI, 1.14 to 1.92). For black women <55 years of age, the top (Q5) compared with the lowest (Q1) quintile of cholesterol remained an independent predictor of stroke mortality (RR, 2.58; 95% CI, 1.05 to 6.32). For white women <55 years of age, Q5 compared with Q1 did not predict stroke mortality with statistical significance (RR, 1.47; 95% CI, 0.57 to 3.76).

View this table: [in this window] [in a new window]   Table 3. RRs for All-Cause Stroke Mortality by Ethnicity in Multivariate Models* for Women 30 to 54 and 55 Years of Age

The adjusted RR of stroke death for each 10–mm Hg increase in systolic blood pressure was 1.22 for black women <55 years of age (95% CI, 1.13 to 1.32) and 1.17 for white women <55 years of age (95% CI, 1.05 to 1.31). The RR estimates for stroke mortality per 10–mm Hg increase in blood pressure are larger in women <55 than in women 55 years of age, although the differences are without statistical significance. Diabetes predicted stroke mortality in all women 55 years of age (RR, 2.18; 95% CI, 1.62 to 2.95) but not in younger women. Diabetes was a stronger risk factor for older black women than for older white women (RR, 2.72; 95% CI, 1.52 to 4.85, and RR, 2.06; 95% CI, 1.44 to 2.96, respectively), although the differences in RR are again without significance. Smoking was associated with an increased risk for stroke mortality across all ages and races except black women >55 years of age. RRs for women who smoked 21 cigarettes a day were higher than those for women who smoked <21 cigarettes per day. Smoking was a stronger risk factor in younger women than older women, but none of these RRs was statistically significant. Finally, attaining less than a high school education compared with graduating high school predicted stroke mortality in all women <55 years of age (RR, 1.79; 95% CI, 1.14 to 2.81) and in white women <55 years of age (RR, 1.99; 95% CI, 1.20 to 3.31). The corresponding RR in younger black women was weaker and not statistically significant (RR, 1.18; 95% CI, 0.47 to 2.98).

Using analogous Cox models to examine the relation of cholesterol to stroke type, we found that the effect of cholesterol in women with baseline ages of 30 to 54 years differs from that in women 55 years of age (Table 4). For younger women, the relation of cholesterol level to nonhemorrhagic stroke death and all-cause stroke mortality is positive (trend test, P=0.03 for each). In particular, women with baseline ages of <55 years have a 23% increased risk of nonhemorrhagic stroke death for each 1-mmol/L increase in cholesterol (RR, 1.23; 95% CI, 1.02 to 1.49). For hemorrhagic stroke death in younger women, there is a relative paucity of events (n=26), and the test for trend is not significant. For the older women, the RRs were highest for the lowest cholesterol quintile, and there is a significant adjusted quadratic relation of cholesterol level and all-cause, nonhemorrhagic, and hemorrhagic mortality.

View this table: [in this window] [in a new window]   Table 4. RRs for Stroke Mortality by Stroke Type in Multivariate Models* for Women 30 to 54 and 55 Years of Age

	Discussion

Top Abstract Introduction Materials and Methods Results Discussion References

 
Using this large data set of ethnically diverse women, we were able to show a significant relation between cholesterol and nonhemorrhagic stroke death in women <55 years of age. We also demonstrated that age modifies the black/white differences in stroke mortality in women. Finally, we revealed the continuing significance of traditional risk factors for stroke mortality, especially systolic blood pressure.

Our study found a positive relation between cholesterol and stroke mortality in younger women that persisted for up to 30 years of follow-up. Although hypercholesterolemia is a well-established, modifiable risk factor for coronary artery disease, it has not consistently been considered a risk factor for stroke.^22–25 Three large prospective studies conducted in the 1980s and 1990s to look in part at this relationship reported a positive association between cholesterol level and nonhemorrhagic stroke,^26–28 but other studies did not observe a significant association.^22–24 Prior efforts to link cholesterol to stroke may have been limited because of small sample size, inadequate follow-up, possible confounding, and a failure to distinguish between the differing causes of nonhemorrhagic and hemorrhagic stroke. Total cholesterol itself may not be the most sensitive predictor of stroke mortality because it combines the antiatherogenic properties of high-density lipoprotein with the atherogenic properties of low-density lipoprotein (LDL). Studies relating serum cholesterol and stroke incidence in blacks have been particularly scarce.³

Elevated blood cholesterol may contribute to stroke risk through several mechanisms, including heart disease and a consequent increase in atrial fibrillation and left ventricular dysfunction that promote mural thrombi that can cause embolic strokes. Cholesterol also contributes to atherosclerosis of the carotid arteries and cerebral vessels that may promote atheroembolic and atherothrombotic events. Results from various HMG-CoA reductase inhibitor trials suggest that lowering cholesterol levels reduces cardiac and cerebrovascular events, although statins may work through other mechanisms in addition to cholesterol lowering, such as improved endothelial function, a reduction in inflammation, increased plaque stability, and a reduction in thrombus formation.^29–31

Our results are consistent with 2 previous studies showing that cholesterol is a risk factor for stroke in young women. A study of 2873 women from the Framingham data set used adjusted models to find a positive relationship between cholesterol level and stroke mortality in women 55 years of age followed up for at least 9 years.³² In a review of 45 international observational cohort studies, the Prospective Studies Collaboration found a significant, positive relationship of stroke (incidence and/or mortality) over cholesterol categories for men and women <45 years of age but not for older ages.²⁴ By documenting differences by age group for both white and black women, our results extend these previous findings.

We also document the effect of cholesterol on stroke subtype. The results from Table 4 show a positive relation between cholesterol and both nonhemorrhagic and all-cause stroke mortality in women with baseline age of 30 to 54 years. These findings agree in part with a report from the Multiple Risk Factor Intervention Trial (MRFIT) that studied 350 977 men with baseline ages of 35 to 57 years.³² Adjusted models in that study showed a positive relation between cholesterol and nonhemorrhagic stroke mortality and a negative association between cholesterol and hemorrhagic stroke death, whereas the overall results find no relation between cholesterol level and all-cause stroke death. The inconsistent results between our study and MRFIT may be due to differences in the populations studied, secular trends, and varying lengths of follow-up. In addition, differences in the mix of nonhemorrhagic to hemorrhagic stroke deaths may explain in part the disparate association of cholesterol and all-stroke mortality between men and women. Several studies have suggested a positive association between cholesterol and nonhemorrhagic stroke death and a negative association between cholesterol and hemorrhagic stroke death.^{24,27,28,33–36} These opposing effects on stroke subtypes may yield an overall neutral outcome on total stroke mortality.

The RRs in Tables 3 and 4 show that the relation of cholesterol to stroke mortality in women <55 years of age differs from that in women 55 years of age. This interaction may be related to confounding in the elderly. For example, low cholesterol may be a marker of poor health in older women rather than a causal factor for stroke. This possibility has been explored in other contexts. In a study of coronary heart disease mortality in an older population, a U-shaped relation between cholesterol and death became positive after adjustments were made for markers of frailty and after deaths in the first year of follow-up were excluded.³⁷ A study analyzing the relationship of low cholesterol to all-cause mortality in a national cohort found that factors relating to underlying health status, such as a low level of physical activity, likely account for the increased risk of death.³⁸ We were unable to evaluate how poor health may increase stroke mortality in women 55 years of age with low cholesterol because we had no similar variables for frailty, such as serum albumin and iron, to analyze. Finally, reports from the coronary heart disease literature have shown that absolute mortality rather than RR measures better estimate the effect of high total cholesterol on advancing age.^39,40 Elevations in cholesterol may still be a risk factor in the elderly, but such effects may be masked both by comorbid conditions that favor stroke in the low-cholesterol frail and by multiple risk factors that increase in prevalence in the elderly and exert a more powerful effect on stroke mortality, making RR estimates an ineffective standard.

Univariate predictors of stroke in our study, including blood pressure, diabetes, smoking, and education, are consistent with previous reports. These traditional risk factors for stroke death remained vigorous in our analysis. Increases in systolic blood pressure produced similar increases in risk of stroke mortality among white and black women, as well as among older and younger women. In contrast to cholesterol, the impact of blood pressure was not limited to younger women in this study. Although our risk estimates for systolic blood pressure and cholesterol are similar in women <55 years of age, blood pressure is a stronger predictor of stroke death when one accounts for the distribution of blood pressure and cholesterol readings in the population and the intervals used for the analysis (per 10 mm Hg and per 1 mmol/L, respectively). Our results also support that diabetes is more strongly related to stroke mortality in women 55 than in younger women.

Although tobacco use is a leading modifiable risk factor contributing to all types of strokes in whites, few data are available for blacks.³ We show large increases in adjusted RR for stroke mortality in white and black women <55 years of age who smoke 21 cigarettes per day. Our results are consistent with an analysis from MRFIT showing no interaction of race with smoking for stroke mortality among men.⁴¹

Low socioeconomic status in the United States has been related to increased hypertension and stroke mortality in both whites and blacks.^42,43 In our multivariate models, attaining less than a high school education—our proxy for socioeconomic status—was related to an increased risk of stroke mortality.

Our study has several limitations. Stroke type may have been misclassified, but such errors are not likely to be systematic and would bias the results to the null.⁴⁴ The relation between cholesterol and stroke death in women is modest, and our observations may not be generalized to stroke subtypes and the extremes of age. Our results regarding the relation between cholesterol and stroke mortality may not apply to nonfatal stroke. We used education as a proxy for socioeconomic status. Education, however, may not account for the many experiences, skills, and resources that make up socioeconomic status. We used body mass index as a marker of obesity. Body mass index is calculated from height and weight and does not take waist circumference, a measure of fat distribution, into consideration. Risk factors may have changed between the time of baseline evaluation and the ascertainment of mortality, leading to misclassification of risk. Changes in risk factors over time would likely be nondifferential and would tend to bias results to the null. Finally, total cholesterol may not be the lipid that best predicts stroke mortality. LDL cholesterol and its major protein portion, apolipoprotein B, for example, have been shown to be more highly predictive than total cholesterol in the evaluation of cardiac risk.⁴⁵ However, tests for LDL and apolipoproteins were not available when several of the cohort studies combined for this analysis were initiated. Despite these limitations, measurement of a single cholesterol value had predictive power over a median follow-up of 13 years.

In conclusion, our results show that cholesterol is a risk factor for nonhemorrhagic stroke death in women <55 years of age and is more strongly associated with mortality in black women <55 years of age than in white women. The study supports the emerging consensus regarding cholesterol as a risk factor for stroke and quantifies this relation in younger women. This study also documents the continuing importance of traditional risk factors for stroke mortality such as high blood pressure. Strategies for stroke prevention should consider the long-term consequences of risk factors, including elevated cholesterol in relatively young women.

	Acknowledgments

 
This study was funded by the American Heart Association (9750703N) and the National Heart, Lung and Blood Institute (K0803681). Women’s Pooling Project Investigators included the following: Ralph D’Agostino, Boston University; Elizabeth Barrett-Conner, University of California San Diego; Victor Hawthorne, University of Michigan; Millicent Higgins, University of Michigan; William Kannel, Framingham Heart Study; Julian Keil, Medical University of South Carolina; Braxton D. Mitchell, University of Maryland School of Medicine; Lori Mosca, Columbia University; Michael P. Stern, University of Texas Health Science Center; Susan Sutherland, Research Institute at Mission St Joseph’s; Moyses Szklo, Johns Hopkins University; and H. Al Tyroler, University of North Carolina.

	Footnotes

 
Women’s Pooling Project Investigators are listed in the Acknowledgments.

Received November 28, 2001; revision received March 21, 2002; accepted April 10, 2002.

	References

Top Abstract Introduction Materials and Methods Results Discussion References

 
1. American Heart Association. 2000 Heart and Stroke Statistical Update Dallas, Tex.: American Heart Association; 1999.

2. Bronner LL, Kanter DS, Manson JE. Primary prevention of stroke. N Engl J Med. 1995; 333: 1392–1400.[Free Full Text]

3. Gillum RF. Risk factors for stroke in blacks: a critical review. Am J Epidemiol. 1999; 150: 1266–1274.[Abstract/Free Full Text]

4. Gaziano JM, Hebert PR, Hennekens CH. Cholesterol reduction: weighing the benefits and risks. Ann Intern Med. 1996; 124: 914–918.[Abstract/Free Full Text]

5. Goldstein LB, Adams R, Becker K, Furberg CD, Gorelick PB, Hademenos G, Hill M, Howard G, Howard VJ, Jacobs B, Levine SR, Mosca L, Sacco RL, Sherman DG, Wolf PA, del Zoppo GJ. Primary prevention of ischemic stroke: a statement for healthcare professionals from the Stroke Council of the American Heart Association. Circulation. 2001; 103: 163–182.[Free Full Text]

6. Welty FK. Cardiovascular disease and dyslipidemia in women. Ann Intern Med. 2001; 161: 514–522.

7. ARIC Investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989; 129: 687–702.[Abstract/Free Full Text]

8. Jackson R, Chambless LE, Yang K, Byrne T, Watson R, Fulsom A, Shahar E, Kalsbeek W. Differences between respondents and nonrespondents in a multicenter community-based study vary by gender and ethnicity: the Atherosclerosis Risk in Communities (ARIC) Study Investigators J Clin Epidemiol. 1996; 49: 1441–1446.[CrossRef][Medline] [Order article via Infotrieve]

9. National Heart, Lung and Blood Institute. Atherosclerosis Risk in Communities (ARIC) Study: Operations Manual, No 8: Lipid and Lipoprotein Determinations Version 1.0. Chapel Hill, NC: ARIC Coordinating Center, School of Public Health, University of North Carolina; 1987.

10. Boyle E Jr. Biological patterns in hypertension by race, sex, body weight and skin color. JAMA. 1970; 213: 1637–1643.[Abstract/Free Full Text]

11. Keil J, Loadholt CB, Weinrich MC, Sandifer SH, Boyle E Jr. Incidence of coronary heart disease in blacks in Charleston, South Carolina. Am Heart J. 108; 1984: 779–786.

12. Johnson JL, Heineman EF, Heiss G, Hames CG, Tyroler HA. Cardiovascular disease risk factors and mortality among black women and white women aged 40–64 years in Evans County, Georgia. Am J Epidemiol. 1986; 123: 209–220.[Abstract/Free Full Text]

13. McDonough JR, Hames CG, Stulb SC, Garrison GE. Coronary heart disease among Negroes and whites in Evans County, Georgia. J Chronic Dis. 1965; 18: 443–468.[CrossRef][Medline] [Order article via Infotrieve]

14. Gordon T, Shurtleff D. Means at each examination and interexamination variation of specified characteristics: Framingham study: exam 1 to exam 10.In: Kannel WB, Gordon T, eds. The Framingham Study Washington, DC: US Government Printing Office; 1973.DHEW publication NIH 74-478.

15. Cohen CS, Barbano HE, Cox CS, Feldman JJ, Finucase FF, Kleinman JC, Madans JH. Plan and Operation of the NHANES I Epidemiologic Followup Study: 1982–84 Hyattsville, Md: National Center for Health Statistics; 1987.Vital and Health Statistics, Series 1, No 22. DHHS publication PHS 87-1324.

16. National Center for Health Statistics. Plan and Operation of the Health and Nutrition Examination Survey, United States, 1971–73 Washington, DC: US Government Printing Office; 1973.Vital and Health Statistics, Series 1, No 10a. DHEW publication HSM 73-1310.

17. Crique MH, Barrett-Connor E, Austin M. Differences between respondents and non-respondents in a population-based cardiovascular disease study. Am J Epidemiol. 1978; 108: 367–372.[Abstract/Free Full Text]

18. Hazuda HP, Comeaux PJ, Stern MP, Haffner SM, Eifler CW, Rosenthal M. A comparison of three indicators for identifying Mexican Americans in epidemiologic research: methodological findings from the San Antonio Heart Study. Am J Epidemiol. 1986; 123: 96–112.[Abstract/Free Full Text]

19. Epstein F, Ostrander L, Johnson B, Payne MW, Hayner NS, Keller JB, Francis T Jr. Epidemiological studies of cardiovascular disease in a total community, Tecumseh, Michigan. Ann Intern Med. 1965; 62: 1170–1187.[Abstract/Free Full Text]

20. National Center for Health Statistics. International Classification of Diseases, Adapted for Use in the United StatesVol 1. 8th rev. Washington, DC: US Government Printing Office; 1967.

21. World Health Organization. Manual of the International Statistical Classification of Diseases, Injuries, and Causes of Death Vol 1.9th rev. Geneva, Switzerland: WHO; 1977.

22. WHO Task Force on Stroke and Other Cerebrovascular Disorders. Stroke–1989: recommendations on stroke prevention, diagnosis, and therapy. Stroke. 1989; 20: 1407–1431.[Free Full Text]

23. Atkins D, Psaty BM, Koepsell TD, Longstreth WT Jr, Larson EB. Cholesterol reduction and the risk for stroke in men: a meta-analysis of randomized, controlled trials. Ann Intern Med. 1993; 119: 136–145.[Abstract/Free Full Text]

24. Prospective Studies Collaboration. Cholesterol, diastolic blood pressure, and stroke: 13,000 strokes in 450,000 people in 45 prospective cohorts. Lancet. 1995; 346: 1647–1653.[CrossRef][Medline] [Order article via Infotrieve]

25. Helgason CM, Wolf PA. American Heart Association Prevention Conference IV: prevention and rehabilitation of stroke: executive summary. Circulation. 1997; 96: 701–707.[Free Full Text]

26. Iso H, Jacobs DR, Wentworth D, Neaton JD, Cohen JD. Serum cholesterol levels and six-year mortality from stroke in 350,977 men screened for the Multiple Risk Factor Intervention Trial. N Engl J Med. 1989; 320: 904–910.[Abstract]

27. Benfante R, Yano K, Hwang L-J, Curb JD, Kagan A, Ross W. Elevated serum cholesterol is a risk factor for both coronary heart disease and thromboembolic stroke in Hawaiian Japanese men: implications of shared risk. Stroke. 1994; 25: 814–820.[Abstract]

28. Eastern Stroke and Coronary Heart Disease Collaborative Research Group. Blood pressure, cholesterol, and stroke in eastern Asia. Lancet. 1998; 352: 1801–1807.[CrossRef][Medline] [Order article via Infotrieve]

29. Hebert PR, Gaziano JM, Chan KS, Hennekens CH. Cholesterol lowering with statin drugs, risk of stroke and total mortality: an overview of randomized trials. JAMA. 1997; 278: 313–321.[Abstract/Free Full Text]

30. Rosenson RS, Tangney CC. Antiatherothrombotic properties of statins: implications for cardiovascular event reduction. JAMA. 1998; 279: 1643–1650.[Abstract/Free Full Text]

31. Szczeklik A, Musia J, Undas A, Gajewski P, Gora P, Swadzba J, Jankowski M. Inhibition of thrombin generation by simvastatin and lack of additive effects of aspirin in patients with marked hypercholesterolemia. J Am Coll Cardiol. 1999; 33: 1286–1293.[Abstract/Free Full Text]

32. Emond MJ, Zareba W. Prognostic value of cholesterol in women of different ages. J Womens Health. 1997; 6: 295–307.[Medline] [Order article via Infotrieve]

33. Neaton JD, Wentworth DN, Cutler J, Stamler J, Keller L. Risk factors for death from different types of strokes. Multiple Risk Factor Intervention Trial Research Group. Ann Epidemiol. 1993; 3: 493–499.[Medline] [Order article via Infotrieve]

34. Neaton JD, Blackburn H, Jacobs D, Kuller L, Lee DJ, Sherwin R, Shih J, Stamler J, Wentworth D. Serum cholesterol level and mortality findings for men screened in the Multiple Risk Factor Intervention Trial. Arch Intern Med. 1992; 152: 1490–1500.[Abstract/Free Full Text]

35. Isles CG, Hole DJ, Lever AF, Hawthorne VM. Risk factors for coronary disease and stroke in men and women. QJM. 1996; 89: 343–349.[Abstract/Free Full Text]

36. Jacobs D, Blackburn H, Higgins M, Reed D, Iso H, McMillan G, Neaton J, Nelson J, Potter J, Rifkind B, Rossouw J, Shekelle R, Yusuf S. Report of the Conference on Low Blood Cholesterol: mortality associations. Circulation. 1992; 86: 1046–1060.[Abstract/Free Full Text]

37. Corti MC, Guralnik JM, Salive ME, Harris T, Ferrucci L, Glynn RJ, Havlik RJ. Clarifying the direct relation between total cholesterol levels and death from coronary heart disease in older persons. Ann Intern Med. 1997; 126: 753–760.[Abstract/Free Full Text]

38. Harris T, Feldman JJ, Kleinman JC, Ettinger WH Jr, Makuc DM, Schatzkin AG. The low cholesterol-mortality association in a national cohort. J Clin Epidemiol. 1992; 45: 595–601.[CrossRef][Medline] [Order article via Infotrieve]

39. Manolio TA, Pearson TA, Wenger NK, Barrett-Connor E, Payne GH, Harlan WR. Cholesterol and heart disease in older persons and women: review of an NHLBI workshop. Ann Epidemiol. 1992; 2: 161–176.[Medline] [Order article via Infotrieve]

40. Rubin SM, Sidney S, Black DM, Browner WS, Hulley SB, Cummings SR. High blood cholesterol in elderly men and the excess risk for coronary heart disease. Ann Intern Med. 1990; 113: 916–920.[Abstract/Free Full Text]

41. Neaton JD, Kuller LH, Wentworth D, Borhani NO. Total and cardiovascular mortality in relation to cigarette smoking, serum cholesterol concentration, and diastolic blood pressure among black and white males followed up for five years. Am Heart J. 1984; 108: 759–769.[CrossRef][Medline] [Order article via Infotrieve]

42. Howard G, Russell GB, Anderson R, Evans GN, Morgan T, Howard VJ, Burke GL. Role of social class in excess black stroke mortality. Stroke. 1995; 26: 1759–1763.[Abstract/Free Full Text]

43. Winkleby MA, Kraemer HC, Ahn DK, Varady AN. Ethnic and socioeconomic differences in cardiovascular disease risk factors: findings in women from the Third National Health and Nutrition Examination Survey, 1988–1994. JAMA. 1998; 280: 356–362.[Abstract/Free Full Text]

44. Modan B, Wagener DK. Some epidemiologic aspects of stroke: mortality/morbidity trends, age, sex, race, socioeconomic status. Stroke. 1992; 23: 1230–1236.[Abstract/Free Full Text]

45. Walldius G, Jungner I, Holme I, Aastveit AH, Kolar W, Steiner E. High apolipoprotein B, low apolipoprotein A-1, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet. 2001; 358: 2026–2033.[CrossRef][Medline] [Order article via Infotrieve]

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