The metabolic syndrome is characterized by a clustering of. The Increasing Prevalence of Metabolic Syndrome among Finnish Men and Women over a Decade

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ORIGINAL Endocrine ARTICLE Care The Increasing Prevalence of Metabolic Syndrome among Finnish Men and Women over a Decade Gang Hu, Jaana Lindström, Pekka Jousilahti, Markku Peltonen, Lena Sjöberg, Risto Kaaja, Jouko Sundvall, and Jaakko Tuomilehto Departments of Health Promotion and Chronic Diseases Prevention (G.H., J.L., P.J., M.P., J.T.) and Health and Functional Capacity (J.S.), National Public Health Institute, FIN-00300 Helsinki, Finland; Department of Public Health (G.H., L.S., J.T.), University of Helsinki, FIN- 00014 Helsinki, Finland; Department of Obstetrics and Gynaecology (R.K.), Helsinki University Hospital, FIN-00290 Helsinki, Finland; and South Ostrobothnia Central Hospital (J.T.), 60220 Seinäjoki, Finland Objective: Our objective was to assess a 10-yr change in the prevalence of the metabolic syndrome defined by the National Cholesterol Education Program (NCEP) and the International Diabetes Federation (IDF) among Finnish men and women. Design and Subjects: Two cross-sectional population surveys were performed in Finland in 1992 and 2002. A total of 3495 participants aged 45 64 yr were included in the analysis. Results: In both years the metabolic syndrome was more common among men than women. In men the prevalence of the metabolic syndrome tended to increase slightly between 1992 and 2002, from 48.8 52.6% (P 0.139) based on the NCEP definition, and from 51.4 55.6% based on the IDF definition (P 0.102). In women the prevalence of the metabolic syndrome increased significantly from 32.2 39.1% based on the NCEP definition (P 0.003), and from 38.0 45.3% based on the IDF definition (P 0.002). In both sexes the prevalence of high blood pressure decreased, but the abnormalities in glucose metabolism increased between 1992 and 2002. The prevalence of central obesity increased in women between 1992 and 2002. Conclusions: In Finland the prevalence of the metabolic syndrome, based both on the NCEP and IDF definitions, is higher in men than women. However, the increase in the prevalence of the metabolic syndrome, from 1992 2002, was significant only among women. (J Clin Endocrinol Metab 93: 832 836, 2008) The metabolic syndrome is characterized by a clustering of several cardiovascular risk factors, including impaired glucose regulation, hyperinsulinemia, elevated triglycerides, decreased high-density lipoprotein (HDL) cholesterol, increased blood pressure (BP), and obesity and its central distribution. The pathogenesis of the syndrome is complex and so far incompletely understood, but obesity, sedentary lifestyle, dietary factors, and genetic factors are known to contribute and interact in its development (1, 2). The strongest dimension of the metabolic syndrome is its association with the risk of the development of type 2 diabetes (3 6), but ultimately it is advocated as a tool to predict cardiovascular disease (CVD) (7 10). In the past few years, several expert groups have developed simple diagnostic criteria to be used in clinical practice to identify subjects with the metabolic syndrome. Until very recently, the World Health Organization Consultation for diabetes and its complications (11) and the National Cholesterol Education Program (NCEP) Expert Panel (12) have formulated definitions for the metabolic syndrome. In 2005, the International Diabetes Federation (IDF) published new criteria for identifying subjects with the metabolic syndrome (13), and the American Heart Association and the National Heart, Lung, and Blood Institute proposed minor modifications to the NCEP definition (14). The prevalence of the metabolic syndrome reported from different studies has varied widely, mainly because of differences in the definitions of the syndrome and in part because of differences in the 0021-972X/08/$15.00/0 Printed in U.S.A. Copyright 2008 by The Endocrine Society doi: 10.1210/jc.2007-1883 Received August 22, 2007. Accepted December 3, 2007. First Published Online December 11, 2007 Abbreviations: BP, Blood pressure; CVD, cardiovascular disease; HDL, high-density lipoprotein; IDF, International Diabetes Federation; NCEP, National Cholesterol Education Program; NHANES, National Health and Nutrition Examination Survey. 832 jcem.endojournals.org J Clin Endocrinol Metab. March 2008, 93(3):832 836

J Clin Endocrinol Metab, March 2008, 93(3):832 836 jcem.endojournals.org 833 characteristics of the populations studied (8, 15 19). Only a few studies have reported trends in the prevalence of the metabolic syndrome by any criteria thus far (20 23). Information regarding trend in the prevalence of the metabolic syndrome outside the United States is largely unknown. The aim of this study was to assess the trend during 1992 2002 in the prevalence of the metabolic syndrome defined by the NECP and IDF among Finnish adults. Subjects and Methods Subjects As part of the national cardiovascular risk factor monitoring studies, baseline surveys were performed in two Eastern Finnish provinces, North Karelia and Kuopio, in the Turku-Loimaa region in Southwestern Finland, and in the Helsinki capital area in 1992 and 2002. The sample included subjects who were 25 64 yr of age. The original sample was sampled at random after stratification by sex and four equally large 10-yr age groups according to the World Health Organization MONItoring trends and determinants in CArdiovascular disease protocol (24). A subsample (45 64 yr old) comprising 3201 subjects in 1992 and 1851 subjects in 2002 was invited to receive the fasting glucose test at baseline. The participation rates were 67% in 1992 and 74% in 2002. After excluding 15 subjects due to incomplete data on any variables required, the present analysis comprises 2120 participants in 1992 and 1375 participants in 2002. The participants gave an informed consent (verbal 1992 and signed 2002). These surveys were conducted according to the ethical rules of the National Public Health Institute, and the investigations were performed in accordance with the Declaration of Helsinki. Measurements A self-administered questionnaire was mailed to the participants to be completed at home. The questionnaire included questions on medical history, use of antihypertensive and antidiabetic drugs, smoking habits, physical activity, and dietary habits. Based on the responses, the participants were classified as never, ex-, and current smokers. Physical activity included occupational, commuting, and leisure time physical activity. A detailed description of the questions has been presented elsewhere (25 27). The participants reported their occupational physical activity according to the following three categories: low, moderate, and high. The daily commuting return journey to work was grouped into three categories: 1) using motorized transportation, or not working outside of home (0-min walking or cycling); 2) walking or bicycling 1 29 min; and 3) walking or bicycling for more than 30 min. Self-reported leisure time physical activity was classified into three categories: low, moderate, and high. Alcohol consumption was categorized into three groups: none, 1 100, and more than 100 g/wk. At the study site, specially trained research nurses measured the height, weight, waist, and hip circumferences, as well as BP using a standardized protocol (24). Body weight of the participants wearing usual light indoor clothing without shoes was measured with a 0.1-kg precision. Height was measured to the nearest 0.5 cm. Body mass index was calculated as weight in kilograms divided by the square of the height in meters. Waist circumference was measured midway between the lower rib margin and iliac crest. Hip circumference was measured at the level of widest circumference over greater trochanters. BP was measured with a standard sphygmomanometer from the right arm of the participant who was seated for 5 min before the measurement. Blood samples were collected after an overnight fast and mailed to a central laboratory. Glucose concentration was determined with the glucose dehydrogenase method (Hoffmann-La Roche, Basel, Switzerland) in 1992 and the glucose dehydrogenase method (ABX Diagnostics, Montpellier, France) in 2002. HDL-cholesterol levels were measured in 1992 using the enzymatic cholesterol method (CHOD-PAP; Boehringer Mannheim, Mannheim, Germany) after precipitation of apo -containing lipoproteins with dextran sulfate (Pharmacia, Uppsala, Sweden) and magnesium chloride(merck, Darmstadt, Germany), andin2002usingthedirecthdlassay, polyethylene glycol-modified enzyme (Thermo Electron Corp., Vantaa, Finland). Enzymatic methods were used to determine triglyceride levels (glycerol phosphate oxidase-p-aminophenazone; Boehringer Mannheim) in 1992 and (Thermo Electron Corp.) 2002 (28). All samples were analyzed in the same laboratory at the National Public Health Institute. According to the External Quality Assessment program organized by Labquality (Helsinki, Finland), the systematic error (bias) was 5.7% (n 5, SD 1.5) for HDL-cholesterol, 2.3% (n 5, SD 1.1) for triglycerides, and 2.8% (n 12, SD 2.5) for glucose in 1992, and 1.7% (n 5, SD 3.3) for HDL-cholesterol, 0.9% (n 5, SD 1.4) for triglycerides, and 0.5% (n 12, SD 3.0) for glucose in 2002. The assay conditions such as collecting of the blood samples, experimental methods, technicians, laboratory, and instruments in the two surveys were identical. Definition of the metabolic syndrome In this study we used two proposed definitions of the metabolic syndrome. According to the updated NCEP definition of the metabolic syndrome (14), an individual has the metabolic syndrome if he or she met at least three of the following criteria: elevated waist circumference ( 102 cm in men or 88 cm in women); elevated triglyceride level ( 1.7 mmol/liter), reduced HDL-cholesterol level ( 1.04 mmol/liter in men or 1.29 mmol/liter in women), and elevated BP ( 130/85 mm Hg or treatment with antihypertensive medications); and elevated fasting glucose value ( 5.6 mmol/liter or drug treatment for elevated glucose). The IDF definition considers the metabolic syndrome to be present in individuals who have central obesity defined as waist circumference more than or equal to 94 cm in men, or more than or equal to 80 cm in women for Europids, in addition to at least two of the four following criteria: fasting glucose more than or equal to 5.6 mmol/liter or previously diagnosed type 2 diabetes; systolic BP more than or equal to 130 mm Hg and/or diastolic BP more than or equal to 85 mm Hg or current use of antihypertensive drugs; HDL-cholesterol less than 1.04 mmol/liter in men or less than 1.29 mmol/liter in women or a specific treatment for lipid abnormalities; and triglycerides more than or equal to 1.7 mmol/ liter or a specific treatment for lipid abnormalities (13). Statistical analyses Differences of the mean values of baseline characteristics and prevalence of the metabolic syndrome and its individual components of the metabolic syndrome between the two study time points were tested by independent-samples t test analysis for continuous variables and the 2 test for categorical variables. The statistical package SPSS for Windows (version 15.0; SPSS, Inc., Chicago, IL) was used for statistical analysis. Results From 1992 2002, mean BP and triglyceride levels, and the prevalence of high BP significantly decreased, whereas the prevalence of glucose abnormalities (high fasting glucose or previously diagnosed diabetes) increased significantly in both genders (all P 0.001) (Table 1). The mean waist circumference and the prevalence of central obesity increased significantly in women (P 0.001), but not in men. The prevalence of the metabolic syndrome was higher in men than women, both in 1992 and 2002, but the increase in the prevalence during 1992 2002 was significant in women only (Table 2). In women the prevalence of the metabolic syndrome increased from 32.2 39.1% based on the NCEP definition (P 0.003), and from 38.0 45.3% based on the IDF definition (P 0.002). The increase in the prevalence, based on both NCEP and IDF definitions, was significant in the age groups of 45 54 and 55 64 yr. In men the

834 Hu et al. in Prevalence of Metabolic Syndrome J Clin Endocrinol Metab, March 2008, 93(3):832 836 TABLE 1. Background factors and the prevalence of individual components of the metabolic syndrome by sex in 1992 and 2002 and their changes prevalence of the metabolic syndrome increased only slightly but nonsignificantly between 1992 and 2002, from 48.8 52.6%, based on the NCEP definition, and from 51.4 55.6% based on the IDF definition (all P 0.1). In men the prevalence of the metabolic syndrome did not change in the younger age group, whereas a statistically significant increase in the prevalence was found in the age group of 55 64 yr (P 0.041) by the IDF definition, but not by the NCEP definition. When we performed some additional analyses excluding participants with diabetes (n 326), the same trend was found (Table 2). During 1992 2002, the prevalence of the metabolic syndrome did not change in men. However, in women the prevalence of the metabolic syndrome increased from 28.4 35.5% based on the NCEP definition (P 0.002), and from 34.5 42.2% based on the IDF definition (P 0.001). TABLE 2. Prevalence of the metabolic syndrome among nondiabetic subjects according to the NCEP and IDF definitions by age and sex in 1992 and 2002 and their changes 1992 2002 1992 2002 Men Men 1992 2002 1992 2002 Women Women n 974 633 1146 742 BMI (kg/m 2 ) 27.8 28.0 0.2 0.311 27.3 27.8 0.5 0.016 Waist circumference (cm) 98.2 98.9 0.7 0.233 84.0 87.4 3.4 0.001 Systolic BP (mm Hg) 143.7 138.8 4.9 0.001 140.7 135.0 5.7 0.001 Diastolic BP (mm Hg) 87.9 83.8 4.1 0.001 83.3 79.9 3.4 0.001 HDL-cholesterol (mmol/liter) 1.24 1.36 0.12 0.001 1.51 1.64 0.13 0.001 Triglycerides (mmol/liter) 1.95 1.78 0.17 0.009 1.43 1.34 0.09 0.023 Central obesity, waist circumference 35.8 37.4 1.6 0.513 31.8 45.3 13.5 0.001 102 cm in men or 88 cm in women (%) Central obesity, waist circumference 64.3 66.4 2.1 0.393 59.8 70.1 10.3 0.001 94 cm in men or 80 cm in women (%) BP 130/85 or use medication (%) 83.9 75.7 8.2 0.001 74.2 64.0 10.2 0.001 HDL-cholesterol 1.04 mmol/liter in men or 30.1 29.2 0.9 0.714 29.7 26.8 2.9 0.181 1.29 mmol/liter in women (%) Triglycerides 1.7 mmol/liter (%) 46.6 48.3 1.7 0.498 24.4 25.6 1.2 0.536 Fasting plasma glucose 5.6 mmol/liter or previously diagnosed type 2 diabetes (%) 57.2 76.6 19.4 0.001 35.3 50.0 14.7 0.001 Data are mean or percentage. BMI, Body mass index. Total sample NCEP definition 45 54 42.7 44.4 1.7 0.694 24.4 31.3 6.9 0.029 55 64 53.7 58.3 4.6 0.175 39.3 45.7 6.4 0.050 Total 48.8 52.6 3.8 0.139 32.2 39.1 6.9 0.003 IDF definition 45 54 47.5 47.1 0.4 0.938 29.7 36.9 7.2 0.032 55 64 54.7 61.6 6.9 0.041 45.4 52.4 7.0 0.034 Total 51.4 55.6 4.2 0.102 38.0 45.3 7.3 0.002 Excluding diabetic patients NCEP definition 45 54 40.2 39.4 0.8 0.867 21.6 28.3 6.7 0.031 55 64 49.9 52.7 2.8 0.460 34.9 41.8 6.9 0.038 Total 45.4 46.9 1.5 0.619 28.4 35.5 7.1 0.002 IDF definition 45 54 45.1 42.0 3.1 0.457 27.2 34.6 7.4 0.025 55 64 51.8 55.7 3.9 0.300 41.5 48.8 7.3 0.031 Total 48.7 49.7 1.0 0.741 34.5 42.2 7.7 0.001

J Clin Endocrinol Metab, March 2008, 93(3):832 836 jcem.endojournals.org 835 Discussion Between 1992 and 2002, the prevalence of the metabolic syndrome based on the NCEP and IDF definitions has increased significantly among middle-aged Finnish women, but not among middle-aged Finnish men. Increases in the prevalence of abdominal obesity and abnormalities in glucose metabolism accounted for the increase in the prevalence of the metabolic syndrome in women. Nevertheless, even in 2002 the prevalence of the metabolic syndrome was higher in men than women. Only a few studies have examined the trend in the prevalence of the metabolic syndrome, and the results are inconsistent (20 23). Ford et al. (20) have reported that the ageadjusted prevalence of the metabolic syndrome increased from 27.0% in National Health and Nutrition Examination Survey (NHANES) III 1988 1994 to 32.9% in NHANES 1999 2000 (P 0.014) based on revised NCEP definition in U.S. women, however, it did not change in U.S. men (from 31.4 31.8%; P 0.866). Moreover, there was no gender difference in the prevalence of the metabolic syndrome in either NHANES III 1988 1994 (P 0.610) or NHANES 1999 2000 (P 0.177). In the San Antonio Heart Study, an increase in the prevalence of the metabolic syndrome is present in men and women, in Mexican Americans and non-hispanic whites, and in diabetic and nondiabetic individuals (22). However, two other studies, the Mexico City Diabetes Study (21) and the Korean National Health and Nutrition Survey (23), show no increase trend in the prevalence of the metabolic syndrome. Women had a higher prevalence of the metabolic syndrome than men in the Mexico City Diabetes Study (21) and the Korean National Health and Nutrition Survey (23). In the present study, the prevalence of the metabolic syndrome based on the NCEP and IDF definitions has increased significantly among Finnish women but not among Finnish men from 1992 2002. Nevertheless, the prevalence of the metabolic syndrome was higher in men than women in both 1992 and 2002. Different study populations and different changes in individual components of the metabolic syndrome can explain the different change trend of the prevalence of the metabolic syndrome in these studies. Nevertheless, it is worth noting that the gender difference in trend in the prevalence in the United States was in keeping with our results. Another issue is that the prevalence of the metabolic syndrome in Finnish men and women was clearly higher than that in the United States. This is most likely due to the high prevalence of high BP in Finland (29), even though BP levels have decreased in Finland during the last decades. During the last decades, Finland has achieved great success in prevention and control of CVD and several CVD risk factors by the community based intervention program, including promotion of more healthy diets, reorganization of hypertension care, etc. (30 32). In the present study, we found that during 1992 2002, mean BP and serum triglyceride levels, and the prevalence of high BP significantly decreased, and the mean HDL-cholesterol level significantly increased in both genders, whereas the prevalence of glucose abnormalities in both genders and central obesity in women significantly increased. The aforementioned changes may account for much of the increase in the prevalence of the metabolic syndrome, particularly among women. Physical inactivity, dietary factors, smoking, and alcohol consumption are known to contribute to the development of the components of the metabolic syndrome. Unfortunately, we do not have detailed data on the changes in diet and physical activity that could explain the increasing trend. A slight increase in the prevalence of past/current smokers and alcohol drinkers in women during 1992 2002 was observed (data not shown) and may be associated with the increase in the prevalence of the metabolic syndrome. BP and waist circumference in our two surveys were measured using similar methods. The assays for glucose, HDL-cholesterol, and triglycerides changed between the two surveys. The difference between methods can be verified by the systematic error. However, the systematic error had only a minor effect on estimating and interpreting changes in fasting glucose, serum HDLcholesterol, and serum triglycerides in our population surveys (28). The results from clinical trials conducted in China, Finland, the United States, and India have demonstrated that lifestyle intervention (reduction of obesity, increased physical activity, and dietary changes) reduces the risk of progression from impaired glucose tolerance to type 2 diabetes (33 37). The majority of the participants in the Finnish and U.S. prevention trials had the metabolic syndrome (37, 38). Lifestyle intervention also improved several CVD risk factors and the components of the metabolic syndrome (33 37). Recently, an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement has provided a summary of clinical management for the metabolic syndrome (14). In addition, the recent European guideline on diabetes, prediabetes, and CVD has summarized the management of the metabolic syndrome (39). The prime emphasis in management of the metabolic syndrome per se is to mitigate the modifiable, underlying risk factors (obesity, physical inactivity, and atherogenic diet) through lifestyle changes. Effective lifestyle change will reduce all of the metabolic risk factors. In conclusion, the present study demonstrates that the prevalence of the metabolic syndrome in Finland is high in international comparison. Based on both the NCEP and IDF definitions, it is higher in men than women in Finland. During 1992 2002, the prevalence of the metabolic syndrome has significantly increased only among women, but not in men. Acknowledgments Address all correspondence and requests for reprints to: Gang Hu, M.D., Ph.D., Department of Health Promotion and Chronic Diseases Prevention, National Public Health Institute, Mannerheimintie 166, FIN-00300 Helsinki, Finland. E-mail: hu.gang@ktl.fi. This study was supported by the Finnish Academy (Grant 108297) and the Finnish Foundation for Cardiovascular Research. Disclosure Statement: The authors have nothing to disclose.

836 Hu et al. in Prevalence of Metabolic Syndrome J Clin Endocrinol Metab, March 2008, 93(3):832 836 References 1. Reaven GM 1988 Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 37:1595 1607 2. Liese AD, Mayer-Davis EJ, Haffner SM 1998 Development of the multiple metabolic syndrome: an epidemiologic perspective. Epidemiol Rev 20:157 172 3. Laaksonen DE, Lakka HM, Niskanen LK, Kaplan GA, Salonen JT, Lakka TA 2002 Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study. Am J Epidemiol 156:1070 1077 4. Lorenzo C, Okoloise M, Williams K, Stern MP, Haffner SM 2003 The metabolic syndrome as predictor of type 2 diabetes: the San Antonio Heart Study. Diabetes Care 26:3153 3159 5. Wang JJ, Li HB, Kinnunen L, Hu G, Jarvinen TM, Miettinen ME, Yuan S, Tuomilehto J 2007 How well does the metabolic syndrome defined by five definitions predict incident diabetes and incident coronary heart disease in a Chinese population? Atherosclerosis 192:161 168 6. Wang JJ, Hu G, Miettinen ME, Tuomilehto J 2004 The metabolic syndrome and incident diabetes: assessment of four suggested definitions of the metabolic syndrome in a Chinese population with high post-prandial glucose. Horm Metab Res 36:708 715 7. Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, Salonen JT 2002 The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA 288:2709 2716 8. Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johnsen K, Pyorala K 2004 Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med 164:1066 1076 9. Ford ES 2005 Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 28:1769 1778 10. Gami AS, Witt BJ, Howard DE, Erwin PJ, Gami LA, Somers VK, Montori VM 2007 Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol 49:403 414 11. WHO Consultation 1999 Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Geneva: World Health Organization 12. Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol in Adults 2001 Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 285:2486 2497 13. Alberti KG, Zimmet P, Shaw J 2005 The metabolic syndrome a new worldwide definition. Lancet 366:1059 1062 14. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith Jr SC, Spertus JA, Costa F 2005 Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112:2735 2752 15. Ford ES, Giles WH, Dietz WH 2002 Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA 287:356 359 16. Eckel RH, Grundy SM, Zimmet PZ 2005 The metabolic syndrome. Lancet 365:1415 1428 17. Gu D, Reynolds K, Wu X, Chen J, Duan X, Reynolds RF, Whelton PK, He J 2005 Prevalence of the metabolic syndrome and overweight among adults in China. Lancet 365:1398 1405 18. Tan CE, Ma S, Wai D, Chew SK, Tai ES 2004 Can we apply the National Cholesterol Education Program Adult Treatment Panel definition of the metabolic syndrome to Asians? Diabetes Care 27:1182 1186 19. Park HS, Oh SW, Cho SI, Choi WH, Kim YS 2004 The metabolic syndrome and associated lifestyle factors among South Korean adults. Int J Epidemiol 33:328 336 20. Ford ES, Giles WH, Mokdad AH 2004 Increasing prevalence of the metabolic syndrome among U.S. adults. Diabetes Care 27:2444 2449 21. Lorenzo C, Williams K, Gonzalez-Villalpando C, Haffner SM 2005 The prevalence of the metabolic syndrome did not increase in Mexico City between 1990 1992 and 1997 1999 despite more central obesity. Diabetes Care 28: 2480 2485 22. Lorenzo C, Williams K, Hunt KJ, Haffner SM 2006 Trend in the prevalence of the metabolic syndrome and its impact on cardiovascular disease incidence: the San Antonio Heart Study. Diabetes Care 29:625 630 23. Park HS, Kim SM, Lee JS, Lee J, Han JH, Yoon DK, Baik SH, Choi DS, Choi KM 2007 Prevalence and trends of metabolic syndrome in Korea: Korean National Health and Nutrition Survey 1998 2001. Diabetes Obes Metab 9:50 58 24. 1988 Geographical variation in the major risk factors of coronary heart disease in men and women aged 35 64 years. The WHO MONICA Project. World Health Stat Q 41:115 140 25. Hu G, Qiao Q, Silventoinen K, Eriksson JG, Jousilahti P, Lindstrom J, Valle TT, Nissinen A, Tuomilehto J 2003 Occupational, commuting, and leisuretime physical activity in relation to risk for type 2 diabetes in middle-aged Finnish men and women. Diabetologia 46:322 329 26. Hu G, Eriksson J, Barengo NC, Lakka TA, Valle TT, Nissinen A, Jousilahti P, Tuomilehto J 2004 Occupational, commuting, and leisure-time physical activity in relation to total and cardiovascular mortality among Finnish subjects with type 2 diabetes. Circulation 110:666 673 27. Hu G, Tuomilehto J, Borodulin K, Jousilahti P 2007 The joint associations of occupational, commuting, and leisure-time physical activity, and the Framingham risk score on the 10-year risk of coronary heart disease. Eur Heart J 28:492 498 28. Sundvall J, Leiviska J, Alfthan G, Vartiainen E 2007 Serum cholesterol during 27 years: assessment of systematic error and affecting factors and their role in interpreting population trends. Clin Chim Acta 378:93 98 29. Antikainen RL, Moltchanov VA, Chukwuma Sr C, Kuulasmaa KA, Marques- Vidal PM, Sans S, Wilhelmsen L, Tuomilehto JO 2006 Trends in the prevalence, awareness, treatment and control of hypertension: the WHO MONICA Project. Eur J Cardiovasc Prev Rehabil 13:13 29 30. Vartiainen E, Jousilahti P, Alfthan G, Sundvall J, Pietinen P, Puska P 2000 Cardiovascular risk factor changes in Finland, 1972 1997. Int J Epidemiol 29:49 56 31. Laatikainen T, Critchley J, Vartiainen E, Salomaa V, Ketonen M, Capewell S 2005 Explaining the decline in coronary heart disease mortality in Finland between 1982 and 1997. Am J Epidemiol 162:764 773 32. Kastarinen MJ, Antikainen RL, Laatikainen TK, Salomaa VV, Tuomilehto JO, Nissinen AM, Vartiainen EA 2006 Trends in hypertension care in eastern and south-western Finland during 1982 2002. J Hypertens 24:829 836 33. Pan X, Li G, Hu Y, Wang J, Yang W, An Z, Hu Z, Lin J, Xiao J, Cao H, Liu P, Jiang X, Jiang Y, Wang J, Zheng H, Zhang H, Bennett P, Howard B 1997 Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 20: 537 544 34. Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne- Parikka P, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M 2001 Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344:1343 1350 35. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, Nathan DM 2002 Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346:393 403 36. Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD, Vijay V 2006 The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1). Diabetologia 49:289 297 37. Orchard TJ, Temprosa M, Goldberg R, Haffner S, Ratner R, Marcovina S, Fowler S 2005 The effect of metformin and intensive lifestyle intervention on the metabolic syndrome: the Diabetes Prevention Program randomized trial. Ann Intern Med 142:611 619 38. Ilanne-Parikka P, Eriksson JG, Lindstrom J, Hamalainen H, Keinanen-Kiukaanniemi S, Laakso M, Louheranta A, Mannelin M, Rastas M, Salminen V, Aunola S, Sundvall J, Valle T, Lahtela J, Uusitupa M, Tuomilehto J 2004 Prevalence of the metabolic syndrome and its components: findings from a Finnish general population sample and the Diabetes Prevention Study cohort. Diabetes Care 27:2135 2140 39. Ryden L, Standl E, Bartnik M, Van den Berghe G, Betteridge J, de Boer MJ, Cosentino F, Jonsson B, Laakso M, Malmberg K, Priori S, Ostergren J, Tuomilehto J, Thrainsdottir I, Vanhorebeek I, Stramba-Badiale M, Lindgren P, Qiao Q, Priori SG, Blanc JJ, Budaj A, Camm J, Dean V, Deckers J, Dickstein K, Lekakis J, McGregor K, Metra M, Morais J, Osterspey A, Tamargo J, Zamorano JL, Deckers JW, Bertrand M, Charbonnel B, Erdmann E, Ferrannini E, Flyvbjerg A, Gohlke H, Juanatey JR, Graham I, Monteiro PF, Parhofer K, Pyorala K, Raz I, Schernthaner G, Volpe M, Wood D 2007 Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary. The Task Force on Diabetes and Cardiovascular Diseases of the European Society of Cardiology (ESC) and of the European Association for the Study of Diabetes (EASD). Eur Heart J 28:88 136