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BMJ. Jan 6, 2001; 322(7277): 15.
PMCID: PMC26599
Glycated haemoglobin, diabetes, and mortality in men in Norfolk cohort of European Prospective Investigation of Cancer and Nutrition (EPIC-Norfolk)
Kay-Tee Khaw, professor of clinical gerontology,a Nicholas Wareham, Medical Research Council clinician scientist,a Robert Luben, research associate, computing and biostatistics,a Sheila Bingham, deputy director,b Suzy Oakes, research associate,a Ailsa Welch, research associate, nutrition,a and Nicholas Day, Medical Research Council research professora
aDepartment of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 2SR, bMedical Research Council Dunn Human Nutrition Unit, Cambridge CB2 2XY
Contributed by
Contributors: K-TK, ND, and SB originated and designed the EPIC-Norfolk population study. NW introduced the glycated haemoglobin measurements and diabetes component. SO is study coordinator and organised data collection including quality control of blood samples and measurement procedures. AW contributed to data collection and analysis. RL was responsible for data management and computing and assisted with analyses. K-TK conducted the data analyses and wrote the paper with NW and ND. K-TK is guarantor for this paper.
Correspondence to: K-T Khaw, Clinical Gerontology Unit, Box 251, University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge CB2 2QQ kk101/at/medschl.cam.ac.uk
Accepted October 11, 2000.
Objective
To examine the value of glycated haemoglobin (HbA1c) concentration, a marker of blood glucose concentration, as a predictor of death from cardiovascular and all causes in men.
Design
Prospective population study.
Setting
Norfolk cohort of European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk).
Subjects
4662 men aged 45-79 years who had had glycated haemoglobin measured at the baseline survey in 1995-7 who were followed up to December 1999.
Main outcome measures
Mortality from all causes, cardiovascular disease, ischaemic heart disease, and other causes.
Results
Men with known diabetes had increased mortality from all causes, cardiovascular disease, and ischaemic disease (relative risks 2.2, 3.3, and 4.2, respectively, P <0.001 independent of age and other risk factors) compared with men without known diabetes. The increased risk of death among men with diabetes was largely explained by HbA1c concentration. HbA1c was continuously related to subsequent all cause, cardiovascular, and ischaemic heart disease mortality through the whole population distribution, with lowest rates in those with HbA1c concentrations below 5%. An increase of 1% in HbA1c was associated with a 28% (P<0.002) increase in risk of death independent of age, blood pressure, serum cholesterol, body mass index, and cigarette smoking habit; this effect remained (relative risk 1.46, P=0.05 adjusted for age and risk factors) after men with known diabetes, a HbA1c concentration [gt-or-equal, slanted]7%, or history of myocardial infarction or stroke were excluded. 18% of the population excess mortality risk associated with a HbA1c concentration [gt-or-equal, slanted]5% occurred in men with diabetes, but 82% occurred in men with concentrations of 5%-6.9% (the majority of the population).
Conclusions
Glycated haemoglobin concentration seems to explain most of the excess mortality risk of diabetes in men and to be a continuous risk factor through the whole population distribution. Preventive efforts need to consider not just those with established diabetes but whether it is possible to reduce the population distribution of HbA1c through behavioural means.
The global prevalence of diabetes is predicted to rise from 135 million in 1995 to 300 million by 2025.13 In the United Kingdom, diabetes and associated complications cost the NHS £4.9bn a year, about a tenth of its entire budget.
Various blood glucose threshold concentrations have been proposed for the diagnosis of diabetes,47 based on the relation to risk of microvascular complications of diabetes, particularly retinopathy.8 However, people with diabetes are also at increased risk of macrovascular diseases such as coronary heart disease and stroke,9 and it is uncertain whether the relation between blood glucose concentration and such diseases has a threshold or is a continuum.
Glycated haemoglobin (HbA1c) concentration is an indicator of average blood glucose concentration over three months and has been suggested as a diagnostic or screening tool for diabetes.8,10 Meta-regression analyses of several studies suggest a continuous relation between fasting or two hour glucose concentration and macrovascular events even below accepted thresholds for diabetes, but data for glycated haemoglobin have been limited by the few prospective studies in which it has been measured in people without diabetes.
We examined the relation between glycated haemoglobin concentrations, diabetes, and subsequent mortality in men.
We studied men in the Norfolk cohort of the European Prospective Investigation into Cancer and Nutrition. The cohort comprises 25 623 men and women aged 45-79 years resident in Norfolk, recruited from general practice age-sex registers.11 Additional data were collected for the Norfolk cohort to enable us to examine the determinants of chronic disease. At the baseline survey between 1993 and 1997 participants completed a detailed health and lifestyle questionnaire. People with established diabetes were defined as those who responded “yes” to the diabetes option of the question: “Has a doctor ever told you that you have any of the following?” followed by a list of conditions including diabetes, heart attack, and stroke. Smoking history was derived from responses to the questions “Have you ever smoked as much as one cigarette a day for as long as a year?” and “Do you smoke cigarettes now?”
Participants attended a health examination carried out by trained nurses. Body mass index was estimated as weight (kg)/(height (m))2. Blood pressure was measured with an Accutorr blood pressure monitor12 after the participant had been seated resting for five minutes; the mean of two readings was used for analysis. Plasma and serum samples were obtained from blood taken by venepuncture. From November 1995, an additional EDTA-anticoagulated blood sample was taken for measurement of HbA1c. Blood samples were assayed at the department of clinical biochemistry, Cambridge University. Serum total cholesterol, high density lipoprotein cholesterol, and triglyceride concentrations were measured by colorimetry (RA 1000, Bayer Diagnostics, Basingstoke), and low density lipoprotein cholesterol concentrations were calculated by the Friedewald formula.13 Glycated haemoglobin assays used a Biorad Diomat high pressure liquid chromatography analyser. The coefficient of variation was 3.6%.
All participants were flagged for death certification at the Office of National Statistics. We present results for mortality follow up to December 1999. Death certificates were coded by trained nosologists at the Office of National Statistics according to the International Classification of Disease (ICD), 9th revision. Cardiovascular death was defined as ICD 400-438 and ischaemic heart disease death as ICD 410-414 anywhere on the death certificate.
The study was approved by the Norwich District Health Authority ethics committee, and all participants gave signed informed consent.
The analysis reported here includes all men aged 45-79 years who completed the baseline health examination and had HbA1c measured. There were not enough events in women with HbA1c measurements for robust analyses. We divided the men into five categories: those with established diabetes, those with previously undiagnosed diabetes (defined as those without a history of diabetes but with a HbA1c concentration [gt-or-equal, slanted]7%8), and then the remainder by approximate thirds of HbA1c concentration using clinically applicable cut off points. We calculated age adjusted death rates by cause in these categories using χ2 for linear trend to assess statistical significance.14 We used the Cox proportional hazards model to determine the contribution of risk factors to mortality.15
We also calculated the population distribution of HbA1c concentration and diabetes and estimated the population attributable risk associated with diabetes or HbA1c above the lowest category less than 5%, assuming the death rates for those with a HbA1c concentration less than 5% applied to the whole population.
Table Table11 shows the characteristics of the 4662 men according to concentration of HbA1c and self reported diabetes. Men with self reported diabetes or previously undiagnosed diabetes were older and had higher levels of risk factors for cardiovascular disease than the rest of the population.
Table 1
Table 1
Characteristics of study population by concentration of glycated haemoglobin and self reported diabetes. Values are mean (SD) unless stated otherwise
Table Table22 shows age adjusted mortality by concentration of HbA1c and self reported diabetes. Men with established or undiagnosed diabetes had greater risk of dying from all causes, cardiovascular disease, or ischaemic heart disease compared with men without diabetes. Risk of death increased through the range of HbA1c concentrations, with lowest rates in those with HbA1c concentrations less than 5% and a gradient of increasing rates through the whole distribution.
Table 2
Table 2
Age adjusted rates for all cause, cardiovascular, ischaemic heart disease, and non-cardiovascular death by glycated haemoglobin concentration and self reported diabetes in men aged 45-79 years, 1995-9
Table Table33 shows the independent multivariate relation between HbA1c concentration or diabetes status and mortality with the Cox proportional hazards model after adjustment for age alone and for age, systolic blood pressure, serum cholesterol concentration, body mass index, cigarette smoking habit, and history of myocardial infarction or stroke. In separate models diabetes status significantly predicted death from all causes, cardiovascular disease, and ischaemic heart disease and HbA1c concentrations predicted all cause, cardiovascular, ischaemic heart disease, and non-cardiovascular mortality independently of age and known risk factors. When diabetes status and HbA1c concentration were both included in the same model, diabetes no longer significantly independently predicted mortality. The increased risk of mortality in men with diabetes was largely mediated through HbA1c concentration. An increase of 1% in HbA1c concentration was associated with roughly a 30% increase in all cause and 40% increase in cardiovascular or ischaemic heart disease mortality. After men with a history of diabetes or with a HbA1c concentration [gt-or-equal, slanted]7% and those with a history of heart disease and stroke (n=522) were excluded, the relative risk of all cause mortality for a 1% increase in HbA1c was 1.49 (95% confidence interval 1.03 to 2.17, P=0.03) adjusted for age and 1.46 (1.00 to 2.12, P=0.05) adjusted for age and risk factors.
Table 3
Table 3
Cox multivariate regression for 4662 men aged 45-79 years for all cause, cardiovascular, ischaemic heart disease, and non-cardiovascular mortality, 1995-9. Effects of glycated haemoglobin and diabetes status were modelled separately (models 1 and 2) and (more ...)
Table Table44 shows the distribution of HbA1c concentration and self reported diabetes in these men. It also shows the population attributable risk, an estimate of the excess mortality associated with diabetes or HbA1c concentration [gt-or-equal, slanted]5%. About 37% (48/131) of the total deaths in this population could be attributed to excess mortality in men with HbA1c concentrations [gt-or-equal, slanted]5%. The prevalence of established or newly diagnosed diabetes was about 5% in the study population. Although this group had greatly increased relative risk of mortality, they contributed only 18% of the excess deaths from all causes relating to HbA1c >5%; men with HbA1c concentrations of 5%-6.9%, who form the majority of the population, contributed about 82% of the excess mortality. Table Table44 also shows the estimated effect on prevalence distributions if HbA1c concentrations were lowered by 0.1% or 0.2% in everyone in the population (excluding those with self reported diabetes). An estimated 12% (6/48) of the excess deaths could potentially be prevented by lowering the population mean HbA1c concentration by 0.1%, and 25% (13/48) could be prevented by lowering the population mean by 0.2%. The reduction in total deaths would be 5% (6/131) and 10% (13/131) respectively.
Table 4
Table 4
Prevalence of self reported diabetes and glycated haemoglobin concentration and percentage population excess mortality associated with glycated haemoglobin 5% or higher in men 45-79 years, 1995-9
Glycated haemoglobin concentration significantly predicted mortality, with increasing risk throughout the whole range of concentrations, even below the threshold commonly accepted for diagnosis of diabetes. This effect was independent of known risk factors and consistent after men with existing diabetes, heart disease, and stroke were excluded. The predictive value of HbA1c for total mortality was stronger than that documented for cholesterol concentration, body mass index, and blood pressure. The mortality risk of established diabetes seemed to be mediated largely through HbA1c concentration.
People with diabetes have increased risk of vascular disease,9,1618 and in these people blood concentration of glucose or HbA1c predicts subsequent microvascular and macrovascular events.19,20 High glucose concentrations might accelerate atherosclerotic processes through several plausible mechanisms such as oxidative stress and protein glycation of vessel walls.21 Reductions in blood glucose or HbA1c concentrations through tight blood glucose control in people with diabetes also reduces the risk of microvascular disease.2225 However, whether the relation of increasing blood glucose with adverse clinical outcomes exists only above a threshold or is a continuous relation across the whole population distribution is still debated.2632 For microvascular complications, studies report a flat relation below a threshold for fasting and post challenge glucose concentration as well as for HbA1c.8 The relation with macrovascular outcomes, coronary heart disease, and stroke, is less clear.2632 A review33 and meta-regression analysis of 20 prospective studies34 (94% male) concluded that the progressive relation between glucose concentrations and cardiovascular disease extends below the diabetic threshold.
Importance of glycated haemoglobin in people without diabetes
HbA1c concentration is related to prevalent coronary disease or carotid intimal thickening in non-diabetic people.35,36 Two prospective studies reported that HbA1c predicts cardiovascular disease in non-diabetic people, but they focused on the top end of the distribution, which may contain people with undiagnosed diabetes.37,38 In the Norfolk cohort, the effect of HbA1c concentration on mortality was evident even at the lower end of the population distribution, and there was no apparent threshold effect: men with HbA1c concentrations above 5% had greater risk than men with concentrations below 5%. Glycated haemoglobin seems to resemble blood pressure and blood cholesterol in terms of the continuous relation with cardiovascular risk.39
Clinical implications
Clinical attention has focused on microvascular complications of diabetes. However, rates of myocardial infarction and stroke in diabetic people are about twice the rates of microvascular events,40 and control of other cardiovascular risk factors such as hypertension is particularly beneficial.41 Treatment trials have shown the effectiveness of lowering blood pressure and cholesterol concentration in reducing cardiovascular events. Since blood pressure and cholesterol are continuously related to mortality,39 prevention of cardiovascular disease has moved from single risk factor intervention at fixed thresholds to identifying overall cardiovascular risk in individuals. Lower treatment thresholds are recommended for people at high absolute risk, as estimated by age, sex, and cardiovascular risk factors such as diabetes, blood pressure, blood cholesterol, smoking, and family history.42,43 Our data indicate that raised glycated haemoglobin concentration, even in men without diabetes, is a marker of greater absolute risk, and preventive treatment with blood pressure or cholesterol lowering drugs should be considered in such patients.
A diagnostic classification for diabetes based on fasting glucose concentration has been challenged by studies that show that glucose concentration two hours after a glucose load has greater predictive value for mortality.4446 However, glucose loading is unsuitable for repeated monitoring. Detection and monitoring of hyperglycaemia would be enhanced by a test such as glycated haemoglobin.
Public health implications
Concentrations of glycated haemoglobin are roughly normally distributed in the population. The lowest death rates were in men with HbA1c concentrations below 5% (25% of our population). Established diabetes is associated with increased mortality, but the prevalence of diabetes is low (5% in the population), whereas about 70% of the population have HbA1c concentrations between 5% and 6.9%. As table table44 shows, 82% of the population excess mortality occurred in this large group of the population compared with 18% in those with diabetes. Large numbers of people exposed to a small increase in risk contribute more events to the population than a small number of people exposed to a large increase in risk.47 The intensive individual medical management and tight glucose control that has been achieved in treatment trials for diabetic patients would not be feasible, or necessarily beneficial, in people who do not have diabetes. However, if it were possible to lower the population mean distribution of HbA1c concentration by lifestyle means such as diet or physical activity, many people could shift into lower risk categories. As shown in table table4,4, after men with diabetes are excluded, a reduction of just 0.1% HbA1c in the whole population would reduce the prevalence of men with concentrations of 5%-6.9% from 79% to 63%, and a population reduction of 0.2% HbA1c would reduce the prevalence to 57%. If the same death rates are assumed to apply, these reductions in population prevalence would reduce total mortality by 5% and 10% respectively.
Whether it is possible to shift the whole population distribution of glycated haemoglobin concentration is unknown. However, huge secular trends and migrant studies showing rapidly increasing prevalence of diabetes suggest that glucose tolerance in the population is susceptible to environmental changes and may be viewed as a societal problem. Studies have implicated nutrition and physical activity as important determinants of diabetes and glycaemia in populations.48,49 The challenge is to identify how much risk can be affected by small changes in the determinants of glycaemia at the population level and to devise strategies for bringing about these changes.5052
What is already known on this topic
Diabetes mellitus increases cardiovascular disease risk
HbA1c concentrations predict cardiovascular risk in people with diabetes
What this study adds
HbA1c concentrations predict mortality continuously across the whole population distribution in people without diabetes and at concentrations below those used to diagnose diabetes
People with high HbA1c concentration may benefit from control of blood pressure and cholesterol concentration
HbA1c may provide a practical screening tool for diabetes or impaired glucose tolerance
Over 80% of the population excess mortality associated with HbA1c concentrations above 5% occurred in 70% of the population with HbA1c concentrations of 5%-6.9%
Acknowledgments
We thank the participants and general practitioners who took part in EPIC-Norfolk.
Footnotes
Funding: EPIC-Norfolk is supported by programme grants from the Cancer Research Campaign and Medical Research Council with additional support from the Stroke Association, British Heart Foundation, Department of Health, and the Wellcome Trust.
Competing interests: None declared.
1. King H, Aubert RE, Herman WH. Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998;21:1414–1431. [PubMed]
2. Amos AF, McCarty DJ, Zimmet P. The rising global burden of diabetes and its complications: estimates and projections to the year 2010. Diabet Med. 1997;14(suppl 5):S1–85. [PubMed]
3. American Diabetes Association. Screening for type 2 diabetes. Diabetes Care. 2000;23(suppl 1):S20–S23. [PubMed]
4. National Diabetes Data Group. Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance. Diabetes. 1979;28:1039–1057. [PubMed]
5. Report of a WHO Study Group. Diabetes mellitus. World Health Org Tech Rep Ser. 1985;727:9–17.
6. Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provision report of a WHO consultation. Diabet Med. 1998;15:539–553. [PubMed]
7. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 1997;20:1183–1197. [PubMed]
8. McCance DR, Hanson RL, Charles M-A, Jacobsson LTH, Pettitt DJ, Bennett PH, et al. Comparison of tests for glycated hemoglobin and fasting and two hour plasma glucose concentrations as diagnostic methods for diabetes. BMJ. 1994;308:1323–1328. [PMC free article] [PubMed]
9. Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Lakkso M. Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. N Engl J Med. 1998;339:229–234. [PubMed]
10. Marshall SM, Barth JH. Standardization of HbA1c measurements—a consensus statement. Diabet Med. 2000;17:5–6. [PubMed]
11. Day NE, Oakes S, Luben R, Khaw KT, Bingham S, Welch A, et al. EPIC-Norfolk: study design and characteristics of the cohort. Br J Cancer. 1999;80(suppl 1):95–103. [PubMed]
12. Gregory J, Foster K, Tyler H, Wiseman M. The dietary and nutritional survey of British adults. London: HMSO; 1990.
13. Friedewald WT, Levy RI, Frederickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without the use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502. [PubMed]
14. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst. 1959;22:719–748. [PubMed]
15. Cox DR. Regression models and life tables. J R Stat Soc B. 1972;34:187–220.
16. Kannel WB, McGee DL. Diabetes and glucose tolerance as risk factors for cardiovascular disease: the Framingham Study. Diabetes Care. 1979;2:120–126. [PubMed]
17. Stamler J, Vaccaro O, Neaton JD, Wentworth D. Diabetes, other risk factors and 12 year cardiovascular mortality for men screened in the multiple risk factor intervention trial. Diabetes Care. 1993;16:434–444. [PubMed]
18. Wingard DL, Barrett-Connor E. National Diabetes Data Group, editors. Diabetes in America. 2nd ed. Washington, DC: Government Printing Office; 1995. Heart disease and diabetes; pp. 429–448. . (NIH publication No 95-1468.)
19. Moss SE, Klein R, Klein BEK, Meuer MS. The association of glycemia and cause-specific mortality in a diabetic population. Arch Intern Med. 1994;154:2473–2479. [PubMed]
20. Krolewski AS, Laffel LMB, Krolewski M, Quinn M, Warram JH. Glycosylated hemoglobin and the risk of microalbuminuria in patients with insulin-dependent diabetes mellitus. N Engl J Med. 1995;332:1251–1255. [PubMed]
21. Brownlee M. Glycation and diabetic complications. Diabetes. 1994;43:836–841. [PubMed]
22. Diabetes Control and Complications Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993;329:977–986. [PubMed]
23. Diabetes Control and Complications Trial Research Group. The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the diabetes control and complications trial. Diabetes. 1995;44:968–983. [PubMed]
24. Diabetes Control and Complications Trial Research Group. The absence of a glycemic threshold for the development of long term complications: the perspective of the diabetes control and complications trial. Diabetes. 1996;45:1289–1298. [PubMed]
25. UK Prospective Diabetes Study Group. Intensive blood glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) Lancet. 1998;352:837–853. [PubMed]
26. Donahue RP, Abbott RD, Reed DM, Yano K. Post challenge glucose level and coronary heart disease in men of Japanese ancestry. Diabetes. 1987;36:689–692. [PubMed]
27. Butler WJ, Ostrander LD, Jr, Carman WJ, Lamphiear DE. Mortality from coronary heart disease in the Tecumseh study: long-term effect of diabetes mellitus, glucose tolerance and other risk factors. Am J Epidemiol. 1985;121:541–547. [PubMed]
28. Eschwege E, Richard JL, Thibult N, Ducimetiere P, Warner JM, Claude JR, et al. Coronary heart disease mortality in relation with diabetes, blood glucose and plasma insulin concentrations. The Paris prospective study, ten years later. Horm Metab Res. 1985;15(suppl series):41–45. [PubMed]
29. Pyorala K, Savolainen E, Kaukola S, Haapgoski J. Plasma insulin as a coronary heart disease risk factor: relationship to other risk factors and predictive value during 91/2 year follow up of the Helsinki policemen study population. Acta Med Scand. 1985;(suppl)701:38–52. [PubMed]
30. Ohlson LO, Svardsudd K, Welin L, Eriksson H, Wilhelmsen L, Tibblin G, et al. Fasting blood glucose and risk of coronary heart disease, stroke, and all cause mortality: a 17 year follow up study of men born in 1913. Diabet Med. 1986;3:33–37. [PubMed]
31. Fuller JH, Shipley MJ, Rose G, Jarrett RJ, Keen H. Coronary heart disease risk and impaired glucose tolerance. The Whitehall study. Lancet. 1980;i:1373–1376. [PubMed]
32. Scheidt-Nave C, Barrett-Connor E, Wingard DL, Cohn BA, Edelstein SL. Sex differences in fasting glycemia as a risk factor of ischemic heart disease death. Am J Epidemiol. 1991;133:565–576. [PubMed]
33. Gerstein HC. Glucose: a continuous risk factor for cardiovascular disease. Diabet Med. 1997;14:S25–S31. [PubMed]
34. Coutinho M, Gerstein HC, Wang Y, Yusuf S. The relationship between glucose and incident cardiovascular events. Diabetes Care. 1999;22:233–240. [PubMed]
35. Singer DE, Nathan DM, Keaven MA, Wilson PWF, Evans JC. Association of HbA1c with prevalent cardiovascular disease in the original cohort of the Framingham Heart Study. Diabetes. 1992;41:202–208. [PubMed]
36. Vitelli LL, Shahar E, Heiss G, McGovern PG, Brancati FL, Eckfeldt JH, et al. Glycosylated hemoglobin level and carotid intimal-medial thickening in non-diabetic individuals. Diabetes Care. 1997;20:1454–1458. [PubMed]
37. Park S, Barrett-Connor E, Wingard DL, Shan J, Edelstein S. Ghb is a better predictor of cardiovascular disease than fasting or postchallenge plasma glucose in women without diabetes. The Rancho Bernardo study. Diabetes Care. 1996;19:450–456. [PubMed]
38. De Vegt F, Dekker JM, Ruhe HG, Stehouwer CD, Nijpels G, Bouter LM, et al. Hyperglycaemia is associated with all-cause and cardiovascular mortality in the Hoorn population: the Hoorn Study. Diabetologia. 1999;42:926–931. [PubMed]
39. Neaton JD, Wentworth D. Serum cholesterol, blood pressure, cigarette smoking and death from coronary heart disease. Overall findings and differences by age for 316099 white men. Multiple Risk Factor Intervention Trial Research Group. Arch Intern Med. 1992;152:56–64. [PubMed]
40. UK Prospective Diabetes Study (UKPDS) Group. Intensive blood glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) Lancet. 1998;352:837–853. [PubMed]
41. UK Prospective Diabetes Study Group. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes (UKPDS 38) BMJ. 1998;317:703–713. [PMC free article] [PubMed]
42. Wood DA, DE Backer G, Faergeman O, Graham J, Mancia G, Pyorala K. Prevention of coronary heart disease in clinical practice. Recommendations of the second joint task force of the European Society of Cardiology, European Atherosclerosis Society, and European Society of Hypertension. Eur Heart J. 1998;19:1434–1503. [PubMed]
43. British Cardiac Society; British Hyperlipidaemia Association; British Hypertension Society. Joint British recommendations on prevention of coronary heart disease in clinical practice. Heart. 1998;(suppl 2):S1–29. [PMC free article] [PubMed]
44. on behalf of the European Diabetes Epidemiology Group. DECODE Study Group Glucose tolerance and mortality: comparison of WHO and American Diabetes Association diagnostic criteria Lancet 1999. 354617–621.621. [PubMed]
45. Barzilay JI, Speikerman CF, Wahl PH, Kuller LH, Cushman M, Furberg CD, et al. Cardiovascular disease in older adults with glucose disorders: comparison of American Diabetes Association criteria for diabetes mellitus with WHO criteria. Lancet. 1999;354:622–625. [PubMed]
46. Shaw JE, Hodge Am, de Gurter M, Chitson P, Zimmet PZ. Isolated post-challenge hyperglycaemia confirmed as a risk factor for mortality. Diabetologia. 1999;42:1050–1054. [PubMed]
47. Hamman RF. Genetic and environmental determinants of non-insulin dependent diabetes. Diabetes Metab Rev. 1992;8:287–338. [PubMed]
48. Pan XR, Cao HB, Li GW, Hu YH, Wang JX, Yang WY, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. Diabetes Care. 1997;20:537–544. [PubMed]
49. Rose G. Strategy of prevention: lessons from cardiovascular disease. BMJ. 1981;282:1847–1851. [PMC free article] [PubMed]
50. Sargeant L, Wareham N, Bingham S, Day N, Luben R, Oakes S, et al. Vitamin C and glucose tolerance in a EPIC-Norfolk: a population study. Diabetes Care. 2000;23:726–732. [PubMed]
51. Williams DE, Wareham NE, Cox BD, Byrne CD, Hales CN, Day NE. Frequent salad consumption is associated with a reduction in the risk of diabetes mellitus. J Clin Epidemiol. 1999;52:329–335. [PubMed]
52. Wareham NJ, Wong MY, Day NE. Glucose intolerance and physical inactivity: the relative importance of low habitual energy expenditure and cardiorespiratory fitness. Am J Epidemiol. 2000;152:132–139. [PubMed]
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