Donate Help Contact The AHA Sign In Home
American Heart Association
Arteriosclerosis, Thrombosis, and Vascular Biology
Search: search_blue_button Advanced Search
Arteriosclerosis, Thrombosis, and Vascular Biology. 2000;20:1842-1847

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kumari, M.
Right arrow Articles by Brunner, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kumari, M.
Right arrow Articles by Brunner, E.
Related Collections
Right arrow Epidemiology
Right arrow Endothelium/vascular type/nitric oxide
Right arrow Other Research
(Arteriosclerosis, Thrombosis, and Vascular Biology. 2000;20:1842.)
© 2000 American Heart Association, Inc.


Thrombosis

Social Determinants of von Willebrand Factor

The Whitehall II Study

Meena Kumari; Michael Marmot; Eric Brunner

From the International Centre for Health and Society, Department of Epidemiology and Public Health, Royal Free and University College London Medical School, London, England.

Correspondence to Dr Meena Kumari, International Centre for Health and Society, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, UK. E-mail meena{at}public-health.ucl.ac.uk


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Abstract—Data from the Whitehall II Study and others have demonstrated a role for the metabolic syndrome and fibrinogen underlying the association between social position and coronary heart disease. In this study, we examined the role of an additional hemostatic factor and marker of endothelial dysfunction, von Willebrand factor (vWF). Four thousand five hundred and forty-eight men and 1837 women were examined in the third phase of the study, which took place between 1991 and 1993. Employment grade was used as a measure of socioeconomic position. An inverse relation between employment grade and vWF was evident (P<0.0003). This employment grade gradient was apparent overall, and the relation persisted even when nonsmokers and participants with poor health were removed from the analyses (P=0.02). The difference between the highest (unified grades 1 to 6) and lowest (clerical/support) employment grades in vWF concentrations was 8.9 IU/dL (95% CI 6.0, 11.8; P<0.001) for men and 6.9 IU/dL (95% CI 4.0, 9.7; P=0.06) for women. vWF was associated with a number of biological factors that themselves showed an employment grade gradient, including fibrinogen (P<0.001), fasting and postload glucose (P<0.05) levels, and fasting and postload insulin (P<0.01) levels. Associations with smoking and alcohol intake were apparent. Smoking showed a threshold effect, such that only men who smoked >21 cigarettes per day produced a significantly increased vWF level (P<0.05) compared with lighter smokers. The health-related behaviors explained 25% of the grade gradient in men and 28% in women, while the biological factors accounted for 32% in men and 22% in women. We conclude that there is a grade gradient in vWF that was not fully explained by health-related behaviors and risk factors for coronary heart disease. These data are consistent with the hypothesis that endothelial dysfunction is part of the explanation for social inequalities in cardiovascular disease.


Key Words: von Willebrand factor • socioeconomic status • metabolic syndrome • smoking


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
There is a gradient in the incidence of coronary heart disease (CHD) such that members of lower socioeconomic groups experience higher rates of CHD morbidity and mortality.1 2 Classic risk factors for CHD such as smoking, overweight, and cholesterol provide an incomplete explanation of this phenomenon.3 4 Data from the Whitehall II Study have demonstrated the importance of plasma fibrinogen5 and the metabolic syndrome6 as possible links between social position, civil service employment grade, and cardiovascular disease. von Willebrand factor (vWF) is a glycoprotein synthesized in endothelial cells and megakaryocytes. It is released from endothelial cells and platelets after endothelial damage, and thus, a raised vWF concentration has been proposed as an indicator of current endothelial damage that occurs early in the disease process.7 The function of vWF is to promote thrombus formation by mediating adhesion of platelets to the injured vessel wall and to one another.8 9 vWF is a sensitive marker to many adaptive conditions, including the acute-phase response. Raised concentrations of vWF are strongly associated with diabetes10 11 and with an increased risk for CHD.12 13 The relationship between vWF and employment grade is examined in this report to assess whether endothelial dysfunction may be an additional biological factor linking social position with cardiovascular disease.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Participants
Demographic and psychosocial characteristics as well as health and risk factor status of the 10 308 participants at baseline have been described previously.2 Subjects were recruited in 1985 to 1988 (phase 1) from 20 London-based Civil Service departments. The response rate was 73%, but detailed investigation in one department showed that 4% of those present on the list of employees had moved before our study, so the true response rate is likely to be higher. The data presented are from phase 3 (1991 to 1993) involving examination of 5616 men and 2488 women aged 39 to 63 years. South Asians and Afro-Caribbean subjects and those with unspecified ethnic origin have been excluded from the analyses, yielding vWF measurements from 4548 male and 1837 female European subjects.

Screening Examination
All measurements were carried out according to a standard protocol, which has been described previously in detail.6 14 Glucose level was determined in fluoride plasma by an electrochemical glucose oxidase method. Serum insulin level was measured by radioimmunoassay by using a polyclonal guinea pig antiserum. Cholesterol and triglycerides were measured in a centrifugal analyzer by enzymatic colorimetic methods. HDL cholesterol was determined after dextran sulfate–MgCl2 precipitation of non-HDL cholesterol. Fibrinogen was determined by an automated modification of the Clauss method. Coefficients of variation were 2.0% to 6.6% for glucose, cholesterol, triglycerides, and HDL cholesterol; 23% for insulin; and 7.7% for fibrinogen.

Analysis of vWF
vWF was measured by a double-antibody ELISA with reagents provided by Dako Ltd and standards from the National Institute for Biological Standards and Control. The reference preparation and the first and second antibodies were plasma human 89/592, rabbit anti-human vWF, and Dako peroxidase-conjugated rabbit anti-human vWF, respectively. Technical error was estimated with a 5% sample of duplicate plasma samples that were analyzed by the laboratory in a blinded fashion. The coefficient of variation obtained was 16.1%. The same standard pool of citrated, platelet-poor plasma from 120 donors was used throughout the study as the standard and calibrated against the fourth British Standard for Blood Coagulation Factors, Plasma Human 89/592 (established 1990) from the National Institutes for Biological Standards and Control. vWF was expressed in international units per deciliter.

Questionnaire and Employment Grade
Participants completed a machine-readable questionnaire, which was checked for completeness and validity. An interviewer elicited missing responses. Participants reported their Civil Service grade title, which was assigned to 1 of 6 grades based on salary scale. Grade 1 comprised subjects in unified grades 1 to 6 (annual salary range as of August 1, 1992 was $49 137 to $148 923); grade 2 is equivalent to unified grade 7 ($43 061 to $61 232); grade 3 is senior executive officer ($30 739 to $43 442); grade 4 is higher executive officer ($24 575 to $35 445); grade 5 is executive officer ($14 479 to $28 336); and grade 6 includes clerical and office support staff ($11 021 to $20 259).

The metabolic syndrome has previously been defined as occupying 3 or more of the adverse sex-specific quintiles: 2-hour glucose, systolic blood pressure, fasting triglycerides, HDL cholesterol, and waist-hip ratio.6

Diabetic subjects were defined as "known" and "newly diagnosed cases" identified from the questionnaire responses ("Do you suffer from diabetes? Yes/no"); presence of diabetic eye disease or current use of oral hypoglycemic drugs; or a postload glucose value >=11.1 mmol/L (or, if missing, a fasting glucose value >=7.8 mmol/L).15 Poor health was defined a priori as diagnosis of myocardial infarction, possible or probable angina (Rose questionnaire); diabetes; hypertension (>160/90 mm Hg or taking antihypertensive drugs); and hypercholesterolemia (>8.5 mmol/L), resulting in 1174 men and 489 women.

Statistical Analysis
Statistical analysis was performed with SAS computer software (SAS Inc). All models were sex-specific because of the differences in anthropometric measures and body composition between men and women. Biochemical variables were logarithmically transformed. Linear regression models adjusted for age (and menopause in women) were used to examine the association between vWF as a continuous variable and each variable tested. Age was held to its whole-sample mean of 50 years. Tests of trend were based on regression analysis, with the relevant factor entered as a continuous variable, with age (and menopausal status for women) entered as a covariate. The association between vWF and employment grade was also tested for nonlinearity by inclusion of a quadratic term for employment grade, which was tested for significance (P<0.05).


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowReferences
 
Table 1Down shows that mean vWF levels increased as employment grade decreased. This trend occurred in both men and women and was largely unaffected by removal from the data set of those in poor health (diagnosis of myocardial infarction, possible or probable angina (by Rose questionnaire); with diabetes, hypertension (>160/90 mm Hg or taking antihypertensive drugs), and hypercholesterolemia (>8.5 mmol/L; n=1174 men and 489 women); or if repeated in never-smokers (resulting in n=2123 men and 891 women) with the exception of men in the lowest employment grade, in whom vWF concentrations were not different from those in never-smokers in the highest grade. Poor health was associated with raised levels of vWF in men (mean, 103.1 IU/dL; 95% CI, 99.6, 111.2 versus 99.6 IU/dL; 95% CI, 98.5, 100.7; P=0.06) and a trend was also apparent in women (mean, 104.9 IU/dL; 95% CI, 99.5, 110.5 versus 100.5 IU/dL; 95% CI, 98.9, 102.2; P=0.13).


View this table:
[in this window]
[in a new window]
 
Table 1. Means (95% CIs) of vWF Concentrations by Civil Service Employment Grade, Adjusted for Age and in Women, Menopausal Status

Tables 2Down and 3Down show analyses of vWF and risk factors that were previously demonstrated to be associated with employment grade4 14 in men and women. Age was associated with increased concentrations of vWF in both men and women (data not shown). Age-adjusted vWF was positively associated with fasting and postload insulin, fibrinogen, and fasting and postload glucose values in both men and women. In addition, age- and menopause-adjusted vWF levels were associated with a worsening HDL cholesterol and waist-hip ratio in women (Table 3Down), while a test for trend for triglyceride levels approached significance (P=0.2). No associations were observed with systolic or diastolic blood pressure or serum total cholesterol. Systolic blood pressure was not related to vWF after the removal from the data set of those taking antihypertensive medication. However, the moderately inverse association between vWF and diastolic blood pressure apparent in men reached statistical significance (P=0.02; data not shown).


View this table:
[in this window]
[in a new window]
 
Table 2. Mean vWF Concentrations by Quintile of Physiological and Biological Factors in Men, Adjusted for Age


View this table:
[in this window]
[in a new window]
 
Table 3. Mean vWF Concentrations by Quintile of Physiological and Biological Factor in Women, Adjusted for Age and Menopausal Status

A number of these variables are constituents of the metabolic syndrome, which shows a striking employment grade gradient. Individuals were considered to have the metabolic syndrome when 3 or more of the following were in the worst sex-specific quintile: 2-hour glucose, systolic blood pressure, fasting triglycerides, HDL cholesterol, and waist-hip ratio.6 Table 4Down shows that vWF was moderately raised in men positive for the metabolic syndrome (n=505), an effect that was not apparent in women (n=218). Concentrations of vWF were greatly increased in diabetic participants compared with nondiabetics (n=58 male and 31 female diabetics).


View this table:
[in this window]
[in a new window]
 
Table 4. Sex-Specific Mean vWF (95% CI) in the Metabolic Syndrome and Diabetes, Adjusted for Age (and Menopausal Status in Women)

The associations between vWF and a number of health behaviors are shown in Table 5Down. In men, vWF concentrations were associated with smoking status, such that current smokers had raised vWF levels compared with never-smokers. Only those men who reported smoking >21 cigarettes per day had markedly raised serum vWF concentrations compared with never-smokers (P=0.009). In women, no significant differences in vWF were observed with smoking status, although a similar pattern was observed with an increased level of vWF in the group that reported smoking the greatest number of cigarettes (P=0.16). In both men and women, adjustment for employment grade failed to markedly alter the observed effects. Reported exercise levels were not associated with vWF concentrations in men, but a direct trend was observed in women (P=0.05), which was largely unaffected by adjustment for employment grade (P=0.04). Reported alcohol intake was strongly and inversely associated with vWF in both men and women. This effect was still apparent after adjustment for employment grade.


View this table:
[in this window]
[in a new window]
 
Table 5. Mean vWF Concentrations by Health-Related Behaviors and BMI, Adjusted for Age (and Menopausal Status in Women)

Figure 1Down shows an employment grade gradient in vWF in men (ß coefficient 1.01 [CI 1.00, 1.02]) and women (ß coefficient 1.02 [CI 1.01, 1.03]) in whom complete data were available for the metabolic variables, fibrinogen, waist-hip ratio, and health related behaviours (n=3942 men and n=1644 women). Data are expressed as mean±standard error. The test for a nonlinear association between vWF and employment grade in women was not significant (P=0.45 for quadratic term). Thirty-two percent of the employment grade gradient in men was accounted for by adjustment with metabolic covariates and fibrinogen (Figure 1BDown). Similarly, waist-hip ratio, fibrinogen, and metabolic covariates accounted for 22% of the employment grade gradient in women (Figure 1EDown). Health related behaviours explained 25% of the gradient in men (Figure 1CDown) and 28% of the gradient in women (Figure 1FDown).



View larger version (27K):
[in this window]
[in a new window]
 
Figure 1. Adjusted vWF concentrations by employment grade in men and women, with complete data for physiological, biochemical, and health-related behavior variables after adjustment for age (A); age, fibrinogen, and fasting and postload glucose and insulin (B); age, smoking, and alcohol intake (C); age and menopause (D); age, menopause, fibrinogen, fasting and postload glucose and insulin, HDL cholesterol, and waist-hip ratio (E); and age, alcohol intake, and exercise (F). Each column represents the mean±SE. Employment grade is abbreviated as outlined in Methods.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
Our findings demonstrate associations between plasma vWF and several risk factors for CHD. An association is also apparent between vWF and employment grade, which persisted after adjustment for health-related behaviors and metabolic variables. A trend for increasing vWF as employment grade decreased remained even when the analyses were repeated after removal from the data set of those in "poor health" or if repeated in never-smokers, suggesting that the effects are unlikely to be a consequence of prevalent ill health. Our findings suggest that vWF, a marker of endothelial dysfunction, can be added to the list of potential biological explanation for the increased risk of CHD observed in men and women of lower socioeconomic position.

vWF plays a pivotal role in the mechanisms of blood clotting and platelet thrombus formation; it binds and stabilizes factor VIII procoagulant protein. The structure of vWF supports the formation of stable platelet aggregates at the site of vascular injury under conditions of high shear stress.8 These changes are early steps in mediating endothelial dysfunction after vascular injury. Estimates of the endothelial source of serum vWF range from 85% to 90%17 18 and a suggestion that all of the circulating vWF is derived from the endothelium.9 19

As expected, vWF concentrations increased with age. Although the concentrations of vWF were the same in men and women, there is some controversy in the literature regarding sex differences in vWF, with reports of no difference10 or some considerable difference, such that women reportedly have higher values than men.11 This may reflect ethnic differences in the composition of the different studies. Our analyses were restricted to whites only. In the Atherosclerosis Risk in Communities Study, a sex difference in mean vWF was observed in black but not in white participants.9

The Whitehall II Study was established to examine the causes of the gradient in CHD associated with employment grade that was observed in the original Whitehall Study.18 Although employment grade gradients in traditional risk factors, eg, blood pressure and total cholesterol, were not observed, data from Whitehall II demonstrate that social gradients are apparent for a number of factors associated with CHD.2 Thus, we have already demonstrated differences across employment grade for two biological factors that may contribute to the increased CHD in the lower employment grades. Both plasma fibrinogen5 and the likelihood of having the metabolic syndrome6 are inversely associated with employment grade.

Our data in a limited number of diabetics agree with previous studies that have found strong associations between diabetes and plasma vWF concentrations, which are thought to reflect endothelial cell damage with subsequent release of vWF.10 We found a small association between vWF and the metabolic syndrome in men but not in women. However, in both sexes there were strong associations between components of the metabolic syndrome and vWF. Thus, an association with postload glucose was observed in both sexes. In accordance with previous reports, an association between waist-hip ratio11 21 and triglycerides11 was observed in women. No significant associations were observed with triglycerides and systolic blood pressure. These data were apparent in the whole cohort and also after removal from the data set of those on antihypertensive therapy. These data accord with a number of studies that have failed to find an association between blood pressure and vWF. The increased levels of vWF in diabetes may be a reflection of the association with insulin, which is not a component of the metabolic syndrome in our study. Alternately, the increased vWF may be a consequence of endothelial damage that occurs in response to diabetes. Our definition of metabolic syndrome required that women have approximately the same prevalence of the syndrome as men. If in fact the syndrome is less prevalent in women, our definition of abnormal may misclassify more women than men. It may be for this reason that the small association observed with vWF in men was not apparent in women.

Most epidemiological studies have not observed an association between smoking and vWF,11 22 whereas strong stimulatory effects are observed in short-term smoking studies23 and positive associations are found in case-control studies.24 25 There may be a difference in the acute versus chronic effects of smoking. Our data point to a threshold effect in smokers such that male heavy smokers only (defined as those who smoked >21 cigarettes per day) had increased vWF levels. Exsmokers did not have raised vWF levels compared with current smokers. These data suggest that the effect observed in our study may result from an acute effect of smoking on vWF release and/or current endothelial damage. The mechanisms by which smoking influences the release of vWF remain unclear but may include lipid peroxides, viscosity, and carbon monoxide, among others.23

Higher plasma vWF concentrations were associated with lower levels of self-reported alcohol intake. A monotonic inverse relationship was apparent between vWF and alcohol intake, such that the most heavy drinkers had decreased vWF levels, even after adjustment for employment grade. These data may provide some insight into the protective effects of alcohol intake.26 A weak, positive association between plasma vWF and self-reported exercise was observed in women.

An employment grade gradient was observed for vWF in men. Although the employment grade gradient in women appeared nonlinear with respect to vWF, the results of the analyses were not significant. This may be because there are fewer women in the higher employment grades, and thus, the study lacks the power to detect a nonlinear association. High concentrations in both top and bottom employment grades have been noted for a number of variables, such as insulin, HDL cholesterol, and triglycerides.6

Our data accord with a recent report that showed an association between vWF and social position, measured by educational attainment, in women.27 The employment grade gradient appeared to be independent of metabolic variables, which themselves show an employment grade gradient. Although it may be that vWF in part reflects prevalent poor health, the employment grade gradient was present after excluding from the analyses those in poor health, suggesting that this possibility is unlikely. Additionally, an employment grade gradient was observed in never-smokers, suggesting that factors additional to those that were measured in this study may help explain the increased levels of vWF in the lower employment grades.

In conclusion, vWF can be added to the list of biological variables that show an employment grade gradient in the Whitehall II Study. There is an inverse gradient for vWF and employment grade, which is present in the total cohort and is also apparent in never-smokers. This increased level of vWF represents poor endothelial function or altered hemostasis. The gradient is partially explained by health-related behaviors or biological variables, including the metabolic syndrome. Longitudinal data will allow us to determine the extent to which vWF explains the inverse social gradient in CHD incidence.


*    Acknowledgments
 
The Whitehall II Study was supported by grants from the Medical Research Council; the British Heart Foundation; the Health and Safety Executive; the Department of Health; the National Heart, Lung, and Blood Institute (RO1-HL36310), and the National Institute on Aging (RO1-AG13196), (National Institutes of Health, Bethesda, MD); Agency for Health Care Policy Research (RO1-HS06516); and the John D. and Catherine T. MacArthur Foundation Research Networks on Successful Midlife Development and Socio-economic Status and Health. M.M. is supported by an MRC Research Professorship. E.B. is supported by the British Heart Foundation. We thank John O’Brien and Mike Etherington. We also thank all participating civil service departments and their welfare, personnel, and establishment officers; the Occupational Health and Safety Agency; the Council of Civil Service Unions; all participating civil servants in the Whitehall II Study; and all members of the Whitehall II Study team.

Received August 27, 1999; accepted April 5, 2000.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
1. Blane D, Brunner EJ, Wilkinson RG. Health and Social Organization. London, England: Routledge; 1996:1–326.

2. Marmot MG, Davey Smith G, Stansfeld SA, Patel C, North F, Head J, White I, Brunner EJ, Feeney A. Health inequalities among British Civil Servants: the Whitehall II study. Lancet.. 1991;337:1387–1393.[Medline] [Order article via Infotrieve]

3. Marmot MG, Shipley MJ, Rose G. Inequalities in death: specific explanations of a general pattern. Lancet.. 1984;1:1003–1006.[Medline] [Order article via Infotrieve]

4. Marmot MG, Bosma H, Hemingway H, Brunner E, Stansfeld S. Contribution of job control and other risk factors to social variations in coronary heart disease incidence. Lancet.. 1997;350:235–239.[Medline] [Order article via Infotrieve]

5. Brunner EJ, Davey Smith G, Marmot MG, Canner R, Beksinska M, O’Brien J. Childhood social circumstances and psychosocial and behavioural factors as determinants of plasma fibrinogen. Lancet.. 1996;347:1008–1013.[Medline] [Order article via Infotrieve]

6. Brunner EJ, Marmot MG, Nanchahal K, Shipley MJ, Stansfeld SA, Juneja M, Alberti KGMM. Social inequality in coronary risk: central obesity and the metabolic syndrome: evidence from the Whitehall II study. Diabetologia.. 1997;40:1341–1349.[Medline] [Order article via Infotrieve]

7. Boneu B, Abbal M, Plante J, Bierme R. Factor VIII complex and endothelial damage. Lancet.. 1975;1:1430.[Medline] [Order article via Infotrieve]

8. O’Brien JR. Shear-induced platelet aggregation. Lancet.. 1990;335:711–713.[Medline] [Order article via Infotrieve]

9. Ruggeri ZM. Cell adhesion in vascular biology: von Willebrand Factor. J Clin Invest.. 1997;99:559–564.[Medline] [Order article via Infotrieve]

10. Lufkin EG, Fass DN, O’Fallon WM, Bowie EJ. Increased von Willebrand factor in diabetes mellitus. Metabolism.. 1979;28:63–66.[Medline] [Order article via Infotrieve]

11. Conlan MG, Folsom AR, Finch A, Davis CE, Sorlie P, Marcucci G, Wu KK. Associations of Factor VIII and von Willebrand factor with age, race, sex, and risk factors for atherosclerosis: the Atherosclerosis Risk in Communities (ARIC) Study. Thromb Haemost.. 1993;70:380–385.[Medline] [Order article via Infotrieve]

12. Rumley A, Lowe GD, Sweetnam PM, Yarnell JW, Ford RP. Factor VIII, von Willebrand factor and the risk of major ischaemic heart disease in the Caerphilly Heart Study. Br J Haematol.. 1999;105:110–116.[Medline] [Order article via Infotrieve]

13. Folsom AR, Wu KK, Rosamond WD, Sharett AR, Chambless LE. Prospective study of hemostatic factors and incidence of coronary heart disease: the Atherosclerosis Risk in Communities (ARIC) study. Circulation.. 1997;96:1102–1108.[Abstract/Free Full Text]

14. Beksinska M, Yea L, Brunner EJ. Whitehall II Study Manual for Screening Examination 1991–93. London, England: Department of Epidemiology and Public Health, University College London; 1995.

15. WHO Study Group Diabetes Mellitus. Report of a WHO Study Group. Geneva, Switzerland: World Health Organization; 1985.

16. Markowe HLJ, Marmot MG, Shipley MJ, Bulpitt CJ, Meade TW, Stirling Y, Vickers MV, Semmence A. Fibrinogen: a possible link between social class and coronary heart disease. Br Med J.. 1985;291:1312–1314.

17. Mannucci PM. Von Willebrand factor: a marker of endothelial damage. Arterioscler Thromb Vasc Biol.. 1998;18:1359–1362.[Free Full Text]

18. Pearson JD. The control of production and release of haemostatic factors in the endothelial cell. Bailliere’s Clin Haem.. 1993;6:1359–1362.

19. Pearson JD. Markers of endothelial perturbation and damage. Br J Rheum.. 1993;32:651–652.[Free Full Text]

20. Marmot MG, Rose G, Shipley M, Hamilton PJS. Employment grade and coronary heart disease in British civil servants. J Epidemiol Commun Health.. 1978;32:244–249.[Abstract/Free Full Text]

21. DePergola G, DeMitrio V, Giorgino F, Sciarattia M, Minenna A, Di-Beri L, Pannacciulli N, Giorgino R. Increase in both pro-thrombotic and anti-thrombotic factors in obese pre-menopausal women: relationship with body fat distribution. Int J Obes Relat Metab Disord.. 1997;21:527–535.[Medline] [Order article via Infotrieve]

22. 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]

23. Blann AD, Kirkpatrick U, Devine C, Naser S, McCollum CN. The influence of acute smoking on leucocytes, platelets and the endothelium. Atherosclerosis.. 1998;141:133–139.[Medline] [Order article via Infotrieve]

24. Smith FB, Lowe GD, Fowkes FG, Rumley A, Rumley AG, Donnan PT, Houslay E. Smoking, haemostatic factors and lipid peroxides in a population case control study of peripheral arterial disease. Atherosclerosis.. 1993;102:155–162.[Medline] [Order article via Infotrieve]

25. Blann AD, McCollum CN. Adverse influence of cigarette smoking on the endothelium. Thromb Haemost.. 1993;70:707–711.[Medline] [Order article via Infotrieve]

26. Marmot MG, Brunner EJ. Alcohol and cardiovascular disease: the status of the U shaped curve. Br Med J.. 1991;303:565–568.

27. Wamala SP, Murray MA, Horsten M, Schenk-Gustafsson K, Hamsten A, Silveira A, Orth-Gomer K. Socioeconomic status and determinants of hemostatic function in healthy women. Arterioscler Thromb Vasc Biol.. 1999;19:485–492.[Abstract/Free Full Text]




This article has been cited by other articles:


Home page
J. Epidemiol. Community HealthHome page
R A Pollitt, J S Kaufman, K M Rose, A V Diez-Roux, D Zeng, and G Heiss
Cumulative life course and adult socioeconomic status and markers of inflammation in adulthood
J Epidemiol Community Health, June 1, 2008; 62(6): 484 - 491.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
F. Tabassum, M. Kumari, A. Rumley, G. Lowe, C. Power, and D. P. Strachan
Effects of Socioeconomic Position on Inflammatory and Hemostatic Markers: A Life-Course Analysis in the 1958 British Birth Cohort
Am. J. Epidemiol., June 1, 2008; 167(11): 1332 - 1341.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
G. Nichol, J. Rumsfeld, B. Eigel, B. S. Abella, D. Labarthe, Y. Hong, R. E. O'Connor, V. N. Mosesso, R. A. Berg, B. B. Leeper, et al.
Essential Features of Designating Out-of-Hospital Cardiac Arrest as a Reportable Event: A Scientific Statement From the American Heart Association Emergency Cardiovascular Care Committee; Council on Cardiopulmonary, Perioperative, and Critical Care; Council on Cardiovascular Nursing; Council on Clinical Cardiology; and Quality of Care and Outcomes Research Interdisciplinary Working Group
Circulation, April 29, 2008; 117(17): 2299 - 2308.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
M. A. Albert, R. J. Glynn, J. Buring, and P. M Ridker
Impact of Traditional and Novel Risk Factors on the Relationship Between Socioeconomic Status and Incident Cardiovascular Events
Circulation, December 12, 2006; 114(24): 2619 - 2626.
[Abstract] [Full Text] [PDF]


Home page
CLIN APPL THROMB HEMOSTHome page
E. Arikan and S. Sen
Endothelial Damage and Hemostatic Markers in Patients with Uncomplicated Mild-to-Moderate Hypertension and Relationship with Risk Factors
Clinical and Applied Thrombosis/Hemostasis, April 1, 2005; 11(2): 147 - 159.
[Abstract] [PDF]


Home page
Scand J Public HealthHome page
C. Schnohr, L. Hojbjerre, M. Riegels, L. Ledet, T. Larsen, K. Schultz-Larsen, L. Petersen, E. Prescott, and M. Gronbaek
Does educational level influence the effects of smoking, alcohol, physical activity, and obesity on mortality? A prospective population study
Scand J Public Health, August 1, 2004; 32(4): 250 - 256.
[Abstract] [PDF]


Home page
ANGIOLOGYHome page
S. Tsiara, M. Elisaf, and D. P. Mikhailidis
Influence of Smoking on Predictors of Vascular Disease
Angiology, September 1, 2003; 54(5): 507 - 530.
[Abstract] [PDF]


Home page
NeurologyHome page
G.E. Tietjen, M.M. Al-Qasmi, K. Athanas, R.M. Dafer, and S.A. Khuder
Increased von Willebrand factor in migraine
Neurology, July 24, 2001; 57(2): 334 - 336.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kumari, M.
Right arrow Articles by Brunner, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kumari, M.
Right arrow Articles by Brunner, E.
Related Collections
Right arrow Epidemiology
Right arrow Endothelium/vascular type/nitric oxide
Right arrow Other Research