The Metabolic Syndrome

Wilson, Peter W.F.; Grundy, Scott M.

doi:10.1161/01.cir.0000089505.34741.e5

Cited by 160 publications

(49 citation statements)

References 18 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These observations, together with the epidemiological characteristics related to HDL-C, mentioned in the previous paragraph, infer a higher prevalence of metabolic syndrome in male middle-aged population, according to the National Cholesterol Education Program's-Adult Treatment Panel III (NCEP-ATP III), predisposing them to greater prevalence of cardiovascular events (especially myocardial infarction or ischemic stroke). [26][27][28][29] Now, it is known that the analysis of non-fasting triglycerides could provide important information of remnant lipoproteins (RLPs) associated with increased risk of CHD. 9,27 Despite being taken for a long time as a villain, nowa-days it is known that LDL-C is not a major risk marker for coronary events currently fitting that role to non-HDL cholesterol (which includes the fractions of very low molecular weight-VLDL), especially in cases of hypertriglyceridemia associated with diabetes, metabolic syndrome or renal chronic disease.…”

Section: Discussionmentioning

confidence: 99%

A Decade of Lipid Profiles: A Gender Focus

Leão¹,

Carvalho²,

Galvão³

et al. 2016

Heart Res Open J

View full text Add to dashboard Cite

Introduction and Objectives:The lipid profile is an important predictor of the risk of coronary heart disease (CHD). Higher rates of total cholesterol (TC) and cholesterol of low-density lipoprotein (LDL-C) increase the chances of developing this disease. However, it is known that women due to hormonal factors would have fewer cardiovascular events. The main objective of this article is to assess the association among different parameters of the lipid profile between the different sexes in the population of a city in Brazil. Methods: This is a descriptive, longitudinal and retrospective study based on secondary data collected in the period from 2003 to 2013 in a medical laboratory in Aracaju, Brazil. The lipid profile was determined using the following markers: total cholesterol (TC); high-density lipoprotein cholesterol (HDL-C); low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG). Statistical analysis was performed using measures of central tendency and variance. The inferential analysis was performed by student's t test and the p-value was 0.05. Results: The sample consists of 63,396 people, 24,425 male and 38,971 female, with mean age of 42.02±17.38 years. The mean value of total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and triglyceride was respectively, 193.39±43.62 mg/dl, 48.80±11.24 mg/dl, 118.35±36.75 mg/dl and 131.28±82.21 mg/dl. Between the genres, it was observed statistical significant differences between all parameters of lipid profile (p<0.0001). Conclusion: We concluded that women have higher rates of total cholesterol and low-density lipoprotein cholesterol; while men have lower rates of high-density lipoprotein cholesterol and higher of triglyceride, which predisposes males to the development of metabolic syndrome.

show abstract

Section: Discussionmentioning

confidence: 99%

A Decade of Lipid Profiles: A Gender Focus

Leão¹,

Carvalho²,

Galvão³

et al. 2016

Heart Res Open J

View full text Add to dashboard Cite

show abstract

“…They are effective in reducing ASCVD events in such patients. Most trials have shown a CVD risk reduction in the range of 25-30% except the GREACE study showed a 50% CVD risk reduction [133]. Simvastatin, one of the more commonly used statins, has been shown to reduce the ASCVD relative risk by half.…”

Section: Lowering Cholesterolmentioning

confidence: 99%

Cardio Metabolic Syndrome: A Global Epidemic

Kelli¹,

Kassas²,

Lattouf

2016

J Diabetes Metab

View full text Add to dashboard Cite

Cardio Metabolic Syndrome (CMS), also known as insulin resistance syndrome or metabolic syndrome X, is a combination of metabolic disorders or risk factors that essentially includes a combination of diabetes mellitus, systemic arterial hypertension, central obesity and hyper-lipidemia. Common to these diseases of metabolism is the associated development of atherosclerotic cardiovascular disease (ASCVD). Studies have shown a strong link between CMS and increased prevalence of peripheral vascular diseases, coronary artery disease and myocardial infarctions as well as cerebro-vascular arterial diseases and stroke.

show abstract

“…Other parameters estimated by DEXA included fat and lean mass for total body, trunk and legs. The following indices were then determined: %fat mass FM ð Þ ¼ FM FM þ lean massÞ ð , both for total body and for body regions; lean mass index (LMI) = total lean mass (in kg)/ (height in m) 2 ; fat mass index (FMI) = total FM (in kg)/ (height in m) 2 ; total/trunk fat ratio; total/legs fat ratio; and trunk/legs fat ratio (Tr/l).…”

Section: Assessment Of Study Variablesmentioning

confidence: 99%

“…Other indices, such as abdominal obesity, hypertension, hyperlipidaemia and hypertriglyceridaemia, are also associated with elevated fasting glucose. These phenotypes tend to cluster together as the metabolic syndrome [2]. The prevailing hypothesis is that the different metabolic syndrome components are, at least in part, caused by common genes [3].…”

Section: Introductionmentioning

confidence: 99%

Heritability of fasting glucose levels in a young genetically isolated population

et al. 2006

View full text Add to dashboard Cite

Aims/hypothesis: The heritability of fasting glucose levels in Northern European populations has been examined previously in twins and samples of small pedigrees. In this study the heritability of fasting plasma glucose (FPG) was estimated in participants in the Erasmus Rucphen Family study, who were members of a single pedigree from a young genetic isolate. We also studied the relationship between FPG and components of the metabolic syndrome. Methods: FPG, lipid, blood pressure and body composition measurements were completed for 852 participants without diabetic medication. The most significant predictors of FPG were used as covariates in heritability estimation. The sibship effect, which is a composite of genetic dominance and shared early-life environmental effects, was included as a random effect. Results: The age-and sex-adjusted heritability of log normal-transformed FPG was 36.6%. When further adjusted for metabolic risk factors, namely body composition parameters, systolic blood pressure, triglycerides and cholesterol:HDL ratio, the heritability estimate rose to 42.8%. After adjustment for the sibship effect, the additive component of heritability was estimated to be 28.3% (ageand sex-adjusted) and 24.9% (full model). Conclusions/ interpretation: Genes control a significant proportion of the variance in FPG levels. Adjustment for other metabolic risk factors did not substantially change the heritability estimate, which suggests that a large part of the variance in FPG levels is due to genes that act through pathways that are independent of those controlling body composition, blood pressure and lipid levels.

show abstract

The Metabolic Syndrome

Cited by 160 publications

References 18 publications

A Decade of Lipid Profiles: A Gender Focus

A Decade of Lipid Profiles: A Gender Focus

Cardio Metabolic Syndrome: A Global Epidemic

Heritability of fasting glucose levels in a young genetically isolated population

Contact Info

Product

Resources

About