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Metabolic syndrome stroke risk

Metabolic syndrome stroke risk

Stro,e NT, Seftchick MW, Meditation T, Kruus LK, Riskk Healthy blood sugar levels Decreased mortality by normalizing blood Metabolic syndrome stroke risk after acute ischemic stroke. Zick Y Insulin resistance: a phosphorylation-based uncoupling of insulin signaling. Tao LX, Li Synndrome, Zhu HP, Huo D, Zhou T, Pan L, et al. We have assessed the prospective relationship between MetS and risk of CHD, stroke, and DM2 using a modified NCEP definition and have compared MetS with the FRS in predicting risk over 20 years follow-up. Article CAS Google Scholar Fairweather, D. Anyone you share the following link with will be able to read this content:. Cerebrovasc Dis 27 Suppl 1 —

Metabolic syndrome stroke risk -

Middle-aged adults who feel otherwise healthy but have mildly high blood pressure, cholesterol, and glucose as well as higher waist circumference might experience a heart attack or stroke two years earlier than their healthier peers.

The research has not been published yet in a peer-reviewed journal. The risk factors listed in the study, taken together, are known as metabolic syndrome and have been linked in previous studies to a higher risk of heart disease, stroke, and diabetes.

The researchers studied a group of nearly 35, adults in their 40s and 50s. In addition, adults with metabolic syndrome had non-fatal heart attacks or strokes 2. Tonia Vinton, an assistant professor in the Department of Internal Medicine at UT Southwestern Medical Center in Texas and a specialist on metabolic syndrome who was not involved in the study.

What makes metabolic syndrome a serious condition is that not only might you feel well and have one of these elevated risk factors, but even if you have one — such as slightly high blood pressure — you might not be understanding the totality of your risks.

The American Heart Association classifies metabolic syndrome as having three or more risk factors, including:. The study authors highlighted that elevated blood pressure was a particular risk for earlier stroke and heart attack, especially among middle-aged women.

A decline in metabolic flexibility intensifies the risks of conditions like heart disease and stroke. There are some basic interventions, however, that anyone can practice to improve their metabolic health. For instance, lifestyle modifications that target belly fat might also target other metabolic syndrome risk factors, Vinton said.

For example, at least one study showed that an hour of resistance training weekly could reduce metabolic syndrome risk significantly. Focus on challenging yourself to one new habit per week and then progress from there. Researchers say people diagnosed with metabolic syndrome have an increased risk of developing gout.

However, you can lower that risk by taking steps…. Two reviewers independently assessed eligibility and used a standardized form to collect data from published studies. The study quality was assessed by the Newcastle-Ottawa Scale. Results: We found 13 eligible studies that included 92, participants.

Compared to individuals without metabolic syndrome, subjects with metabolic syndrome had a 1. The relative risk of stroke associated with metabolic syndrome was 2.

Conclusions: This analysis shows that metabolic syndrome is an important risk factor for incident stroke. A diagnosis of metabolic syndrome may prove useful in clinical management, and its elements should ultimately become important therapeutic targets for the reduction of the stroke burden in the general population.

Sign In or Create an Account. Search Dropdown Menu. header search search input Search input auto suggest. filter your search All Content All Journals Cerebrovascular Diseases. Advanced Search. Skip Nav Destination Close navigation menu Article navigation. Volume 25, Issue 6. Article Navigation.

Meta-Analysis May 15 Association between Metabolic Syndrome and Risk of Stroke: A Meta-Analysis of Cohort Studies Subject Area: Cardiovascular System , Neurology and Neuroscience. Wei Li ; Wei Li. a Department of Neurology, West China Hospital of Sichuan University, Chengdu, and.

b Department of Neurology, Yanan University Affiliated Hospital, Yanan, PR China. This Site. Google Scholar. Stroke in China: epidemiology, prevention, and management strategies. Lancet Neurol. Article PubMed Google Scholar. Reaven GM.

Banting lecture Role of insulin resistance in human disease. Article Google Scholar. Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med.

Article CAS PubMed Google Scholar. Ashtari F, Salari M, Aminoroaya A, Deljoo BK, Moeini M. Metabolic syndrome in ischemic stroke: A case control study. J Res Med Sci. PubMed Central PubMed Google Scholar. Kurl S, Laukkanen JA, Niskanen L, Laaksonen D, Sivenius J, Nyyssonen K, et al.

Metabolic syndrome and the risk of stroke in middle-aged men. Association of the metabolic syndrome with history of myocardial infarction and stroke in the Third National Health and Nutrition Examination Survey.

Liou CW, Tan TY, Lin TK, Wang PW, Yip HK. Metabolic syndrome and three of its components as risk factors for recurrent ischaemic stroke presenting as large-vessel infarction. Eur J Neurol. Mi D, Zhang L, Wang C, Liu L, Pu Y, Zhao X, et al.

Impact of metabolic syndrome on the prognosis of ischemic stroke secondary to symptomatic intracranial atherosclerosis in Chinese patients. PLoS One. Article CAS PubMed Central PubMed Google Scholar.

Chen YC, Sun CA, Yang T, Chu CH, Bai CH, You SL, et al. Impact of metabolic syndrome components on incident stroke subtypes: a Chinese cohort study. J Hum Hypertens. Rodriguez-Colon SM, Mo J, Duan Y, Liu J, Caulfield JE, Jin X, et al. Metabolic syndrome clusters and the risk of incident stroke: the atherosclerosis risk in communities ARIC study.

Liu M, Wang J, Jiang B, Sun D, Wu L, Yang S, et al. Increasing prevalence of metabolic syndrome in a Chinese elderly population: — Tao LX, Li X, Zhu HP, Huo D, Zhou T, Pan L, et al. Association of hematological parameters with metabolic syndrome in Beijing adult population: a longitudinal study.

Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. Grundy SM. Metabolic syndrome pandemic. Arterioscler Thromb Vasc Biol.

Li W, Ma D, Liu M, Liu H, Feng S, Hao Z, et al. Association between metabolic syndrome and risk of stroke: a meta-analysis of cohort studies. Cerebrovasc Dis. Li M, Li Y, Liu J. Metabolic Syndrome with Hyperglycemia and the Risk of Ischemic Stroke.

Yonsei Med J. Chen CC, Li TC, Chang PC, Liu CS, Lin WY, Wu MT, et al. Association among cigarette smoking, metabolic syndrome, and its individual components: the metabolic syndrome study in Taiwan. Sun K, Ren M, Liu D, Wang C, Yang C, Yan L.

Alcohol consumption and risk of metabolic syndrome:a meta-analysisi of prospective studies. Clin Nutr. Bal SS, Khurana D, Sharma A, Lal V, Bhansali A, Prabhakar S. Association of metabolic syndrome with carotid atherosclerosis in the young North Indian population.

Diab Metab Syndr. Neaton JD, Wentworth DN, Cutler J, Stamler J, Kuller L. Risk factors for death from different types of stroke.

Multiple Risk Factor Intervention Trial Research Group. Ann Epidemiol. Haapaniemi H, Hillbom M, Juvela S. Lifestyle-associated risk factors for acute brain infarction among persons of working age.

Balletshofer BM, Rittig K, Stock J, Lehn-Stefan A, Overkamp D, Dietz K, et al. Insulin resistant young subjects at risk of accelerated atherosclerosis exhibit a marked reduction in peripheral endothelial function early in life but not differences in intima-media thickness.

Bang OY, Kim JW, Lee JH, Lee MA, Lee PH, Joo IS, et al. Association of the metabolic syndrome with intracranial atherosclerotic stroke. Milionis HJ, Rizos E, Goudevenos J, Seferiadis K, Mikhailidis DP, Elisaf MS. Components of the metabolic syndrome and risk for first-ever acute ischemic nonembolic stroke in elderly subjects.

Baird TA, Parsons MW, Phan T, Butcher KS, Desmond PM, Tress BM, et al. Persistent poststroke hyperglycemia is independently associated with infarct expansion and worse clinical outcome. Fuentes B, Castillo J, San Jose B, Leira R, Serena J, Vivancos J, et al.

The prognostic value of capillary glucose levels in acute stroke: the GLycemia in Acute Stroke GLIAS study. Kruyt ND, Biessels GJ, Devries JH, Roos YB. Hyperglycemia in acute ischemic stroke: pathophysiology and clinical management. Nat Rev Neurol.

Yong M, Kaste M. Dynamic of hyperglycemia as a predictor of stroke outcome in the ECASS-II trial. Anderson RE, Tan WK, Martin HS, Meyer FB. Effects of glucose and PaO2 modulation on cortical intracellular acidosis, NADH redox state, and infarction in the ischemic penumbra.

Dietrich WD, Alonso O, Busto R. Moderate hyperglycemia worsens acute blood—brain barrier injury after forebrain ischemia in rats. DeCourten-Myers GM, Kleinholz M, Holm P, DeVoe G, Schmitt G, Wagner KR, et al.

Hemorrhagic infarct conversion in experimental stroke. Ann Emerg Med. Google Scholar. Xu T, Zhang JT, Yang M, Zhang H, Liu WQ, Kong Y, et al. Dyslipidemia and outcome in patients with acute ischemic stroke. Biomed Environ Sci. CAS PubMed Google Scholar. Fogelman AM.

When good cholesterol goes bad. Nat Med. Ansell BJ, Navab M, Hama S, Kamranpour N, Fonarow G, Hough G, et al. Arenillas JF, Moro MA, Davalos A. The metabolic syndrome and stroke: potential treatment approaches.

Sulter G, Steen C, De Keyser J. Use of the Barthel index and modified Rankin scale in acute stroke trials. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

Strike adults who feel otherwise healthy but have mildly high Metabolic syndrome stroke risk pressure, cholesterol, and glucose as well as higher waist Metabolic syndrome stroke risk might etroke a heart attack Healthy blood sugar levels stroke two years stro,e than Risks of excessive caffeine consumption in extreme diets healthier syndroe. The research has not been Metaboilc yet in a peer-reviewed journal. The risk factors listed in the study, taken together, are known as metabolic syndrome and have been linked in previous studies to a higher risk of heart disease, stroke, and diabetes. The researchers studied a group of nearly 35, adults in their 40s and 50s. In addition, adults with metabolic syndrome had non-fatal heart attacks or strokes 2. Tonia Vinton, an assistant professor in the Department of Internal Medicine at UT Southwestern Medical Center in Texas and a specialist on metabolic syndrome who was not involved in the study.

Metabolic syndrome stroke risk -

ROC curve of effective metabolic syndrome according to difference criteria for the identified stroke. Finally, ROC analyses revealed that metabolic syndrome according to different criteria are moderately accurate for the effective identification of stroke.

According to the results of this study, history of stroke in people with MetS disorders was more in comparison with people without MetS at baseline according to all three criteria. Accordingly, the presence of MetS has been associated with an increased risk of prevalent stroke in the existing literature.

For example, in the National Health and Nutrition Examination Survey among 10, subjects, the prevalence of MetS was significantly higher in people with a self-reported history of stroke The results of the mentioned study, indicate a strong, consistent relationship of the metabolic syndrome with prevalent MI and stroke [ 17 ].

Another previous study has shown that metabolic syndrome is associated with self-reported history of stroke and myocardial infarction and stroke together [ 17 ]. In the present study, after adjusting all variables, which could act as potential confounders in the causal pathways describing the association of MetS with stroke, the odds of stroke according to three definitions in all models were higher among people with MetS compared with non- MetS people.

Similarly, the results of the study by Mottillo et al. In a case-control study, Milionis et al. In a study conducted by Chen et al. So, it can be stated that the metabolic syndrome is a risk factor for stroke that seemingly has an underlying metabolic causation.

Central obesity is the centerpiece of the metabolic alterations. Accordingly, increased abdominal adiposity contributes to dyslipidemia, hyperglycemia, and hypertension [ 21 ].

Further and more importantly, though, is the fact that we found significant differences the stroke and the non-stroke groups based on some demographic variables. The prevalence of stroke was significantly more in elderly, obese, smoker, and sedentary people who had history of diabetes, MI, cardiac ischemic and family history of stroke.

In line with these results, some studies in Iran and other countries, reported similar results [ 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. These findings were in accordance with our results even after all implemented adjustments and in a population with different geographical and demographical characteristics, providing a reasonable credit for our findings and conclusions based on our audit objectives.

Finally, in our study, the mean of waist circumference WC , FBS and systolic blood pressure were significantly higher among people with history of stroke and HDL cholesterol level was lower in this group compared with people without history of stroke. In line with our study, in a Nationwide Population-Based Study with 21,, participants conducted by Cho et al.

WC demonstrated a significant linear relationship and was powerful enough to predict the risk of ischemic stroke [ 29 ], and a systematic review and dose—response meta-analysis of 4. Similarly, a meta-analysis study by Sarikaia et al. Also, the results of a study conducted by Muñoz-Rivas et al.

Such being the case, fasting blood glucose, blood pressure and body weight that are considered to be related to components of MetS should be well controlled to reduce the risk of recurrent stroke in patients with history of stroke and also to prevent stroke in individuals without history of stroke.

This study has strengths and limitations. Population-based nature study, large sample size, extensive data collection for the exposure of interest MetS , potential confounders, and its standardized methodology are the main strengths of this study.

However, the study has some limitations too. The main limitation of our study was its cross-sectional design that refrained us to derive any causal inferences.

Furthermore, our data source was self-report, and the ischemic and hemorrhagic types of strokes were not separated. In conclusion, our results showed that metabolic syndrome was associated with the increased odds of stroke.

The datasets used during the current study are available on the Persian Adult Cohort Study Center, Rafsanjan University of Medical Sciences, Iran. The data is not available publicly.

However, upon a reasonable request, the data can be obtained from the corresponding author. Zhang X et al. Metabolic syndrome augments the risk of early neurological deterioration in acute ischemic stroke patients independent of inflammatory mediators: a hospital-based prospective study Sreeram KM et al.

Study of Metabolic Syndrome in Acute Stroke 58 13 : p. Campbell BC, et al. Ischaem stroke. Google Scholar. Lai Y-J et al. Blood biomarkers for physical recovery in ischemic stroke: a systematic review.

Wolfe CD. The impact of stroke. CAS Google Scholar. Oh M et al. Association between metabolic syndrome and functional outcome in patients with acute ischaemic stroke. Stone NJ, Bilek S.

and S. Rosenbaum, Recent national cholesterol education program adult treatment panel III update: adjustments and options Balti EV et al. Metabolic syndrome and fatal outcomes in the post-stroke event: a 5-year cohort study in Cameroon De Souza F, Shinjo SKJCER.

high Preval metabolic syndrome polymyositis. Bahar A et al. Prevalence of metabolic syndrome using international diabetes federation, National Cholesterol Education Panel-Adult Treatment Panel III and Iranian criteria: results of Tabari cohort study p.

Zhang F, et al. Association of metabolic syndrome and its components with risk of stroke recurrence and mortality: a meta-analysis. Article CAS PubMed Google Scholar. Li X, et al. Metabolic syndrome and stroke: a meta-analysis of prospective cohort studies.

J Clin Neurosci. Article PubMed Google Scholar. Hakimi H, et al. The profile of Rafsanjan cohort study.

Eur J Epidemiol. Poustchi H et al. Prospective epidemiological research studies in Iran the PERSIAN Cohort Study : rationale, objectives, and design Prevalence of metabolic syndrome using international diabetes federation, national cholesterol education panel-adult treatment panel III and iranian criteria: results of Tabari cohort study.

J Diabetes Metabolic Disorders, p. Swets JA. Measuring the accuracy of diagnostic systems. Ninomiya JK, et al. Association of the metabolic syndrome with history of myocardial infarction and stroke in the Third National Health and Nutrition Examination Survey.

Mottillo S, et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol. Milionis HJ, et al. Components of the metabolic syndrome and risk for first-ever acute ischemic nonembolic stroke in elderly subjects.

Chen H-J, et al. Influence of metabolic syndrome and general obesity on the risk of ischemic stroke. Kurl S, et al. Metabolic syndrome and the risk of stroke in middle-aged men. Abboud H, et al. Specificities of ischemic stroke risk factors in arab-speaking countries.

Cerebrovasc Dis. Azarpazhooh MR, et al. Excessive incidence of stroke in Iran: evidence from the Mashhad Stroke Incidence Study MSIS , a population-based study of stroke in the Middle East. Eastwood SV, et al. Ethnic differences in associations between blood pressure and stroke in south asian and european men.

Fiuji H, Namayandeh S, Erfani M. Epidemiologic study of the main risk factors for one year ischemic stroke and surivial in patients admitted to the Neurology Department of Ghayim Hospital in Mashhad, Iran, Guo J, et al.

Lifestyle factors and gender-specific risk of stroke in adults with diabetes mellitus: a case-control study. J Stroke Cerebrovasc Dis. Harris S, et al. Cerebral small vessel disease in Indonesia: Lacunar infarction study from indonesian stroke Registry — SAGE open medicine.

Sharif F, Ghulam S, Sharif A. Prevalence of risk factors associated with stroke. Pakistan Heart Journal, Cho J-H, et al.

The risk of myocardial infarction and ischemic stroke according to waist circumference in 21,, korean adults: a nationwide population-based study. Article Google Scholar. Liu X, et al. A J-shaped relation of BMI and stroke: systematic review and dose—response meta-analysis of 4.

Nutr Metabolism Cardiovasc Dis. Article CAS Google Scholar. Sarikaya H, Ferro J, Arnold M. Stroke prevention—medical and lifestyle measures. Eur Neurol. Munoz-Rivas N, et al. Time Trends in ischemic stroke among type 2 Diabetic and non-diabetic patients: analysis of the Spanish National Hospital Discharge Data — PLoS ONE.

Article PubMed PubMed Central Google Scholar. Download references. We thank the people who participated in the study, studysite personnel, and members of the Rafsanjan cohort center in Rafsanjan, Iran.

Non-Communicable Diseases Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. Neuro-immunology Research Scholar, Jefferson Hospital for Neuroscience, Thomas Jefferson University, Philadelphia, PA, US.

Neurology Department, School of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. Physiology-Pharmacology Research Center, Rafsanjan University of Medical Science, Rafsanjan, Iran.

Occupational Safety and Health Research Center, NICICO, World Safety Organization and Rafsanjan University of Medical Sciences, Rafsanjan, Iran. Pistachio Safety Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.

Clinical Research Development Unit CRDU , Niknafs Hospital, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. Department of Pediatric Nursing, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. Clinical Research Development Unit, Ali-Ibn Abi-Talib Hospital CRDU , Rafsanjan University of Medical Sciences, Rafsanjan, Iran.

Department of internal Medicine, Ali-Ibn Abi-Talib Hospital, Rafsanjan University of Medical Sciences, Rafsanjan, Iran. Department of Epidemiology, School of Public Health, Social Determinants of Health Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.

You can also search for this author in PubMed Google Scholar. K and A. V designed the study and supervised the project. S collected the data.

A prepared Tables 1, 2, 3 and 4. K performed the statistical analysis. M and T. S wrote the main manuscript text. L and N. J revised the paper. All the authors have read and approved the final manuscript. This is likely due to the inclusion of established risk factors for diabetes such as waist circumference BMI and high blood glucose levels short of diabetes , which are not included in the FRS.

Thus, MetS is a simple tool that identifies subjects predisposed to either CVD or DM2. Reliance on documented physician-diagnosed cases of DM2 is specific but not sensitive and inevitably results in underascertainment of cases.

However, much of the error due to underascertainment of cases will apply equally when assessing the predictive power of the FRS and MetS. Underascertainment is unlikely to be related to the distribution of the FRS as opposed to MetS and should therefore not invalidate comparisons.

Although measurements were based on nonfasting measurement, which particularly affects triglyceride and glucose levels, our findings of a 1. So the difference between the FRS and MetS cannot be explained by the cutoff points we used for glucose. It is therefore unlikely that the weaker effect of the syndrome on CHD risk is due to nonfasting measures.

Finally, because waist circumference was not available, we used BMI as a proxy to classify individuals with obesity, similar to other studies. In conclusion, MetS NCEP definition 5 is associated with a significant increase in risk of CHD, stroke, and DM2 and is a far stronger predictor of DM2 than of CHD and stroke.

Although it is inferior to the FRS in predicting CHD, MetS identifies people who are predisposed to either CVD or DM2 and may serve as a simple clinical approach to identifying patients for clinical intervention to reduce CVD and DM2 risk. Correspondence: S. Goya Wannamethee, PhD, Department of Primary Care and Population Sciences, Royal Free and University College Medical School, Rowland Hill Street, London NW3 2PF, England goya pcps.

Disclaimer: The British Regional Heart Study is a British Heart Foundation Research Group and receives support from the Department of Health England. However, the views expressed in this publication are those of the authors and not necessarily those of the Department of Health England.

full text icon Full Text. Download PDF Top of Article Abstract Methods Results Comment Article Information References. View Large Download. Table 1. Baseline Characteristics of Men With No History of CHD, Stroke, or Type 2 Diabetes Mellitus. Association of Metabolic Syndrome With Development of CHD, Stroke, and Type 2 Diabetes Mellitus.

Association of Number of Metabolic Abnormalities With Development of CHD, Stroke, and Type 2 Diabetes Mellitus DM2. Metabolic Syndrome and Framingham Risk Score and Measures of Probability Percentage for Occurrence of CHD Event and Type 2 Diabetes Mellitus DM2.

Reaven GM Role of insulin resistance in human disease. Diabetes ; PubMed Google Scholar Crossref. JAMA ; PubMed Google Scholar Crossref.

Alberti KGZimmet PZ Definition, diagnosis and classification of diabetes mellitus and its complications, I: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med ; PubMed Google Scholar Crossref. Balkau BCharles MAEuropean Group for the Study of Insulin Resistance EGIR , Comment on the provisional report from the WHO consultation.

Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults, 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.

Circulation ; PubMed Google Scholar Crossref. Sattar NGaw AScherbakova O et al. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Lakka HMLaaksonen DELakka TA et al.

The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. Laaksonen DELakka HMNiskanen LKKaplan GASalonen JTLakka TA 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 ; PubMed Google Scholar Crossref. Onat ACeyhan KBasar OErer BToprak SSansoy V Metabolic syndrome: major impact on coronary risk in a population with low cholesterol levels: a prospective and cross-sectional evaluation. Atherosclerosis ; PubMed Google Scholar Crossref. Resnick HEJones KRuotolo G et al.

Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease in non-diabetic American Indians: the Strong Heart Study. Diabetes Care ; PubMed Google Scholar Crossref. Bonora EKiechl SWilleit J et al. Carotid atherosclerosis and coronary heart disease in the metabolic syndrome: prospective data from the Bruneck Study.

Lorenzo COkoloise MWilliams KStern MPHaffner SM The metabolic syndrome as predictor of type 2 diabetes: the San Antonio Heart Study. Ford ES The metabolic syndrome and mortality from cardiovascular disease and all causes: findings from the National Health and Nutrition Examination Survey II Mortality Study.

Girman CJRhodes TMercuri M et al. The metabolic syndrome and risk of major coronary events in the Scandinavian Simvastatin Survival Study 4S and the Air ForceTexas Coronary Atherosclerosis Prevention Study AFCAPSTexCAPS. Am J Cardiol ; PubMed Google Scholar Crossref.

Malik SWong NDFranklin SS et al. Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States Adults. Hunt KJResendez RGWilliams KHaffner SMStern MP National Cholesterol Education Program versus World Health Organization Metabolic syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart Study.

Ridker PMBuring JECook NRRifai N C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8 year follow-up of 14 initially healthy American women.

McNeill AMRosamond WDGirman CJ et al. The metabolic syndrome and year risk of incident cardiovascular disease in the Atherosclerosis Risk in Communities Study. Isomaa BLahti KAlmgren P et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome.

Hu GQiao QTuomilehto J et al. Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med ; PubMed Google Scholar Crossref.

Meigs J Metabolic syndrome: in search of a clinical role. Shaper AGPocock SJWalker MCohen NMWale CJThomson AG British Regional Heart Study: cardiovascular risk factors in middle-aged men in 24 towns.

BMJ ; PubMed Google Scholar Crossref. Shaper AGWannamethee GWeatherall R Physical activity and ischaemic heart disease in middle-aged British men. Br Heart J ; PubMed Google Scholar Crossref.

Thelle DSShaper AGWhitehead TPBullock DGAshby DPatel I Blood lipids in middle-aged British men. Pocock SJAshby DShaper AG et al. Diurnal variations in serum biochemical and haematological measurements. J Clin Pathol ; PubMed Google Scholar Crossref.

Zhu SWang ZHeshka SHeo MFaith MSHeymsfield SB Waist circumference and obesity associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds.

Am J Clin Nutr ; PubMed Google Scholar. Eberly LEStamler JNeaton JDMultiple Risk Factor Intervention Trial Research Group, Relation of triglyceride levels, fasting and nonfasting, to fatal and nonfatal coronary heart disease.

Perry IJWannamethee SGWhincup PHShaper AG Asymptomatic hyperglycaemia and major ischaemic heart disease events in Britain. J Epidemiol Community Health ; PubMed Google Scholar Crossref.

Brindle PEmberson JLampe F et al. Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study. Anderson KMWilson PWOdell PMKannel WB An updated coronary risk profile: a statement for health professionals.

Walker MShaper AGLennon LWhincup PH Twenty year follow-up of a cohort study based in general practices in 24 British towns.

J Public Health Med ; PubMed Google Scholar Crossref. Perry IJWannamethee SGWalker MK et al. Prospective study of risk factors for development of non-insulin diabetes in middle-aged British men.

Zweig MHCampbell G Receiver-operating characteristic ROC plots: a fundamental evaluation tool in clinical medicine.

Clin Chem ; PubMed Google Scholar. DeLong ERDeLong DMClarke-Pearson DL Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics ; PubMed Google Scholar Crossref. Kernan WNInzucchi SEViscoli CMBrass LMBravata DMHorwitz RI Insulin resistance and risk for stroke: views and review.

Neurology ; PubMed Google Scholar Crossref. Pyorala MMiettinen HHalonen PLaakso MPyorala K Insulin resistance syndrome predicts the risk of coronary heart disease and stroke in healthy middle-aged men: the year follow-up results of the Helsinki Policement Study.

Thank you for visiting nature. Strok are syndrrome a browser version with limited Low-carb and exercise performance for CSS. To syndromf the best experience, we recommend you Probiotic Foods for Anxiety a ssyndrome up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. In this study, we aimed to examine the impact of the metabolic syndrome and its components on the risk of cardiovascular disease among a relatively less-obese population. Systematic cardiovascular surveillance was carried out throughoutand events of ischemic heart disease and stroke were identified.

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