The Whitehall II study originally comprised 10,308 (3413 women) individuals who, at

Similar documents
O besity is associated with increased risk of coronary

Is socioeconomic position related to the prevalence of metabolic syndrome? Influence of

I t is well established that non-insulin dependent diabetes is

I t is established that regular light to moderate drinking is

Appendix This appendix was part of the submitted manuscript and has been peer reviewed. It is posted as supplied by the authors.

Baldness and Coronary Heart Disease Rates in Men from the Framingham Study

Comparison of Probability of Stroke Between the Copenhagen City Heart Study and the Framingham Study

Atherosclerotic Disease Risk Score

Elevated Risk of Cardiovascular Disease Prior to Clinical Diagnosis of Type 2 Diabetes

High Density Lipoprotein Cholesterol and Mortality

ESM1 for Glucose, blood pressure and cholesterol levels and their relationships to clinical outcomes in type 2 diabetes: a retrospective cohort study

epidemiological studies: an alternative based on the Caerphilly and Speedwell surveys

Adherence to a healthy diet in relation to cardiovascular incidence and risk markers: evidence from the Caerphilly Prospective Study

(n=6279). Continuous variables are reported as mean with 95% confidence interval and T1 T2 T3. Number of subjects

ORIGINAL INVESTIGATION. Lifestyle and 15-Year Survival Free of Heart Attack, Stroke, and Diabetes in Middle-aged British Men

Supplementary Appendix

Cardiovascular Disease Risk of Abdominal Obesity vs. Metabolic Abnormalities

THE HEALTH consequences of

John W G Yarnell, Christopher C Patterson, Hugh F Thomas, Peter M Sweetnam

Cite this article as: BMJ, doi: /bmj (published 30 June 2004)

Supplementary Online Content

Employment grade and coronary heart disease in British civil servants

eappendix S1. Studies and participants

D espite a distinct decline in ischaemic heart disease

Epidemiology/Population

disease events Serum urate and the risk of major coronary heart S Goya Wannamethee, A Gerald Shaper, Peter H Whincup

Cardiovascular disease, particularly coronary heart disease. Epidemiology

ANUMBER OF EPIDEMIOLOGIcal

C ardiovascular disease (CVD) is the leading cause of

Optimizing risk assessment of total cardiovascular risk What are the tools? Lars Rydén Professor Karolinska Institutet Stockholm, Sweden

Supplement materials:

Q. Qiao 1, M. Tervahauta 2, A. Nissinen 2 and J. Tuomilehto 1. Introduction

Antihypertensive Trial Design ALLHAT

SUPPLEMENTAL MATERIAL

YOUNG ADULT MEN AND MIDDLEaged

Alcohol and sudden cardiac death

Central pressures and prediction of cardiovascular events in erectile dysfunction patients

Preventive Cardiology Scientific evidence

Table S1. Read and ICD 10 diagnosis codes for polymyalgia rheumatica and giant cell arteritis

SUPPLEMENTAL MATERIAL

Total and Differential Leukocyte Counts as Predictors of Ischemic Heart Disease: The Caerphilly and Speedwell Studies

The New England Journal of Medicine

Predicting cardiovascular risk in the elderly in different European countries

High-Normal Blood Pressure Progression to Hypertension in the Framingham Heart Study

CVD risk assessment using risk scores in primary and secondary prevention

Total risk management of Cardiovascular diseases Nobuhiro Yamada

Despite the acknowledged importance of hypertension as

Incremental Predictive Value of Adding Past Blood Pressure Measurements to the Framingham Hypertension Risk Equation The Whitehall II Study

Stroke is the third leading cause of death in the

Framingham Heart Study Longitudinal Data Documentation

University of Bristol - Explore Bristol Research

Stroke is one of the major causes of death in the United

The Impact of Diabetes Mellitus and Prior Myocardial Infarction on Mortality From All Causes and From Coronary Heart Disease in Men

A lthough the hazards of smoking are well described,

Supplementary Online Content

Agreement between measured and self-reported weight in older women. Results from the British Women s Heart and Health Study

LEADER Liraglutide and cardiovascular outcomes in type 2 diabetes

Folate, vitamin B 6, and vitamin B 12 are cofactors in

Original Contribution

Assessing Cardiovascular Risk to Optimally Stratify Low- and Moderate- Risk Patients. Copyright. Not for Sale or Commercial Distribution

Family history of premature coronary heart disease and risk prediction in the EPIC-Norfolk prospective population study

Biases in clinical research. Seungho Ryu, MD, PhD Kanguk Samsung Hospital, Sungkyunkwan University

Modelling Reduction of Coronary Heart Disease Risk among people with Diabetes

Cardiovascular Risk Assessment and Management Making a Difference

Epidemiology and Prevention. Hyperlipidemia in Early Adulthood Increases Long-Term Risk of Coronary Heart Disease

Supplementary Online Content

ORIGINAL INVESTIGATION. Risk Factors for Congestive Heart Failure in US Men and Women

Association of plasma uric acid with ischemic heart disease and blood pressure:

Cardiovascular risk factor appraisal art or science?

Prediction of Cardiovascular Death in Racial/Ethnic Minorities Using Framingham Risk Factors

TEN-YEAR ABSOLUTE RISK ESTImates

Adult Obesity and Number of Years Lived with and without Cardiovascular Disease

Novel Approach to Examining First Cardiovascular Events After Hypertension Onset

Elevated blood pressure (BP) is a major modifiable risk factor

John J.P. Kastelein MD PhD Professor of Medicine Dept. of Vascular Medicine Academic Medial Center / University of Amsterdam

ORIGINAL INVESTIGATION. The Impact of Diabetes Mellitus on Mortality From All Causes and Coronary Heart Disease in Women

It is well established that type 2 diabetes (non insulindependent. Nonfasting Serum Glucose and Insulin Concentrations and the Risk of Stroke

ESPEN Congress Florence 2008

Coding, recording and incidence of different forms of coronary heart disease in primary care.

T he relation between alcohol intake and risk of type II

Over the past several decades, mortality from cardiovascular

Cite this article as: BMJ, doi: /bmj (published 8 March 2004)

Ischaemic heart disease: association with haematocrit in the British Regional Heart Study

LDL cholesterol and cardiovascular outcomes?

Recall of diagnosis by men with ischaemic heart disease

Whereas reductions in mortality attributable to cerebrovascular

CONTENT SUPPLEMENTARY FIGURE E. INSTRUMENTAL VARIABLE ANALYSIS USING DESEASONALISED PLASMA 25-HYDROXYVITAMIN D. 7

Long-term prognostic value of N-Terminal Pro-Brain Natriuretic Peptide (NT-proBNP) changes within one year in patients with coronary heart disease

C oronary heart disease (CHD) risk factors do not entirely

MEDCODE READCODE READTERM

EuroPrevent 2010 Fatal versus total events in risk assessment models

Early-Adulthood Cardiovascular Disease Risk Factor Profiles Among Individuals With and Without Diabetes in the Framingham Heart Study

High density lipoprotein cholesterol and mortality: too much of a good thing?

Fatality of Future Coronary Events Is Related to Inflammation-Sensitive Plasma Proteins

Socioeconomic Inequalities in CVD in Europe

Chlamydia pneumoniae IgA titres and coronary heart disease

Psychosocial Influences on Coronary Heart Disease (CHD)

Transcription:

Supplementary notes on Methods The study originally comprised 10,308 (3413 women) individuals who, at recruitment in 1985/8, were London-based government employees (civil servants) aged 35 to 55 years. 1 An on-going study, follow-up clinical examinations have taken place approximately every 5 or 6 years in 1991/93, 1997/99, 2002/04, 2007/9, and 2012/13. The study was approved by the University College London ethics committee and all participants provided written consent. The methods used in the study have been described elsewhere. 1;2 In brief, members self-reported current cigarette smoking, physical activity, alcohol intake, and parental history of death from heart attack, stroke, or other heart condition. Biological measurements were made by trained research nurses following standard operating procedures. Blood glucose was measured using the glucose oxidase method with diabetes defined by the World Health Organization (WHO) 1999 criteria based on fasting glucose 7.0 mmol/l or 2-h glucose 11.1 mmol/l. Participants reporting doctor diagnosed diabetes or use of diabetes medication were classified as having diabetes regardless of their oral glucose tolerance test results. Height and weight were measured directly and body mass index (BMI) computed using the usual formulae (weight[kg]/height 2 [m 2 ]). Systolic and diastolic blood pressures were measured twice in the sitting position after 5 minutes of rest with the average of the 2 readings used in the present analyses. Blood samples, taken after at least 5 hours of fasting, were used to measure levels total and HDL cholesterol and insulin. Comparator studies Described in detail elsewhere, 3 the BRHS is an on-going prospective study of cardiovascular disease involving men aged 40 59 years at enrolment who were selected from general

medical practices in each of 24 towns in England, Wales, and Scotland in 1978/80. Each man completed a standard questionnaire administered by the research nurses and provided a series of clinical measurements. After excluding study members with prevalent coronary heart disease (CHD) at baseline, the resulting sample, featured herein, comprised 7198 men. 4 The design of the original Heart Study 5 and the Offspring Study 6 have also been detailed previously. Participants included in the present comparison 7 attended the 11 th biennial examination cycle of the original cohort (1968/71), or the first (1971/75) or third (1984/87) examination cycles of the Offspring cohort. After excluding study members with prevalent CVD, the resulting sample of 8491 participants (4522 women) was 30-74 years of age. As in the BRHS, data were collected using a combination of questionnaire and clinical measurements. Wherever possible in our analyses of study raw data we replicated published analyses from the BRHS 4 and the study. 6 The characteristics matched in the analysis included the categorisation of risk factors, the type of endpoint (CHD in the BRHS [see table 2 4 ], CVD in [see table 2 6 ]), the duration of follow-up (15 years in the BRHS, 12 in ), the age-range of study members (40-59 years in the BRHS, 30-74 years in ), and the statistical adjustments made to the effect estimates. For the BRHS comparison, we used data collected in study members in 1991/93 as our baseline with follow-up for non-fatal and fatal CHD until 2007/09; for the comparison, the comparable data collection phase was 1991/3 with follow-up for fatal and non-fatal CVD until 2002/4.

As the participants in the BRHS were men free of prevalent CHD, 4 analyses was similarly restricted to this group. Prevalent CHD was defined as a history of myocardial infarction/angina identified via the WHO chest pain questionnaire together with corroboration by any one of the following sources: medical records, or abnormalities in a resting electrocardiogram, exercise electrocardiogram, or a coronary angiogram. In accordance with BRHS, among the included men, pre-existing CHD was defined as having a history of angina/possible myocardial infarction, or only electrocardiographic evidence of possible or definite myocardial ischaemia. 4 In these analyses, the outcome of interest was CHD as denoted by death with CHD cited as the underlying cause (International Classification of Diseases ninth (ICD-9 8 ) revision codes 410 to 414; ICD-10 9 codes I20 to I25), or a non-fatal CHD event (myocardial infarction/heart attack). For comparison with results, 6 study members with prevalent CHD or stroke 10 were excluded from analyses. The outcome of interest was CVD, denoted by any of the following: death with CHD (defined above) or stroke (ICD-9: 430 to 438, ICD-10: I60 to I69) as the underlying cause; or non-fatal CHD (defined above plus angina), stroke or heart failure as obtained through national Hospital Episode Statistics data. Statistical analyses In the analyses of data, hazard ratios (HRs) with accompanying 95% confidence intervals (CIs) were computed using Cox's proportional hazards regression model 11 with follow-up time as the underlying time scale. Censoring was made at date of disease endpoint, date at loss to follow-up, or date at end of follow-up (comparison dependent); whichever came first.

While the published risk factor coronary heart disease relations in the BRHS were presented in conventional fashion, the hazard ratios for the continuous variables in the study 6 have been calculated from log-transformed results. For the continuous variables, the hazard ratios and confidence intervals associated with a 20% increase in the risk factor have been calculated using the formula, HR = FHR ln(1.2), where FHR is the published hazard ratio. The categorical risk factors CVD associations were computed conventionally. The results were stratified by gender; we therefore did the same in the Whitehall study (men only were sampled in the BRHS). A p-value summarising any statistical difference in hazard ratios between studies was computed by testing the difference between the log hazard ratios. The standard error of the log hazard ratios for the BRHS and study were computed from the reported hazard ratio confidence intervals.

References (1) Marmot MG, Davey-Smith G, Stansfeld S, Patel C, North F, Head J et al. Health inequalities among British civil servants: the study. Lancet 1991; 337(8754):1387-1393. (2) Marmot M, Brunner E. Cohort Profile: the study. Int J Epidemiol 2005; 34(2):251-256. (3) Walker M, Whincup PH, Shaper AG. The British Regional Heart Study 1975-2004. Int J Epidemiol 2004; 33(6):1185-1192. (4) Wannamethee SG, Shaper AG, Whincup PH, Walker M. Role of risk factors for major coronary heart disease events with increasing length of follow-up. Heart 1999; 81:374-379. (5) Dawber TR, Meadors GF, Moore FE. Epidemiological approaches to heart disease: the Study. Am J Public Health Nations Health 1951; 41(3):279-281. (6) Kannel WB, Feinleib M, McNamara PM, Garrison RJ, Castelli WP. An investigation of coronary heart disease in families. The offspring study. Am J Epidemiol 1979; 110(3):281-290. (7) D'Agostino RB, Sr., Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM et al. General cardiovascular risk profile for use in primary care: the Heart Study. Circulation 2008; 117(6):743-753. (8) Anon. Manual of the International Statistical Classification of Diseases, Injuries, and Causes of Death (ninth revision). Geneva: WHO; 1977. (9) Anon. Classification of diseases. 10th revision. Copenhagen: Danish National Board of Health; 1993. (10) Britton A, Milne B, Butler T, Sanchez-Galvez A, Shipley M, Rudd A et al. Validating self-reported strokes in a longitudinal UK cohort study (): Extracting information from hospital medical records versus the Hospital Episode Statistics database. BMC Med Res Methodol 2012; 12:83. (11) Cox DR. Regression models and life-tables. J R Stat Soc [Ser B] 1972; 34:187-220.

Supplementary Figure 1a. Classic risk factors for coronary heart disease: the study and the study - men Age Total cholesterol HDL-cholesterol Systolic BP (not treated) Systolic BP (treated) Current smoking (yes vs no) Diabetes (yes vs no) HR (95% CI) 2.03 (1.74, 2.37) 1.75 (1.62, 1.89) 1.28 (1.16, 1.42) 1.23 (1.14, 1.32) 0.81 (0.76, 0.86) 0.84 (0.80, 0.89) 1.56 (1.33, 1.83) 1.42 (1.28, 1.58) 1.58 (1.35, 1.85) 1.44 (1.30, 1.59) 1.54 (1.19, 1.99) 1.92 (1.65, 2.24) 1.16 (0.74, 1.83) 1.78 (1.43, 2.20) P for diff 0.08 0.49 0.35 0.36 0.32 0.15 0.10 0.75 1 1.5 2 2.5 Analyses are based on 3969 men (718 CVD events) in the study and 5042 men (447 CVD events) in the study. Results are hazard ratios (95% confidence intervals). For the continuous variables, the hazard ratios are for a 20% increase in the risk factor. Effect estimates are mutually adjusted. The hazard ratios for the continuous variables in the study have been calculated from logtransformed results. For the continuous variables, the hazard ratios and confidence intervals associated with a 20% increase in the risk factor have been calculated using the formula, HR = FHR ln(1.2), where FHR is the published hazard ratio.

Supplementary Figure 2b. Classic risk factors for coronary heart disease: the study and the study - women Age Total cholesterol HDL-cholesterol Systolic BP (not treated) Systolic BP (treated) Current smoking (yes vs no) Diabetes (yes vs no) HR (95% CI) 2.09 (1.56, 2.79) 1.53 (1.37, 1.70) 1.13 (0.96, 1.32) 1.25 (1.13, 1.37) 0.88 (0.79, 0.97) 0.88 (0.83, 0.91) 1.54 (1.19, 1.98) 1.65 (1.46, 1.88) 1.56 (1.22, 2.01) 1.67 (1.48, 1.90) 1.52 (1.03, 2.25) 1.70 (1.40, 2.08) 1.78 (0.93, 3.42) 2.00 (1.49, 2.67) P for diff 0.05 0.28 0.99 0.62 0.63 0.63 0.76.75 1 1.5 2 2.5 Analyses are based on 4522 women (456 CVD events) in the study and 2248 men (162 CVD events) in the study. Results are hazard ratios (95% confidence intervals). For the continuous variables, the hazard ratios are for a 20% increase in the risk factor. Effect estimates are mutually adjusted. The hazard ratios for the continuous variables in the study have been calculated from logtransformed results. For the continuous variables, the hazard ratios and confidence intervals associated with a 20% increase in the risk factor have been calculated using the formula, HR = FHR ln(1.2), where FHR is the published hazard ratio.