scholarly journals Age- and sex-specific prevalence and ten-year risk for cardiovascular disease of all 16 risk factor combinations of the metabolic syndrome - A cross-sectional study

2010 ◽  
Vol 9 (1) ◽  
pp. 34 ◽  
Author(s):  
Susanne Moebus ◽  
Chakrapani Balijepalli ◽  
Christian Losch ◽  
Laura Gores ◽  
Berndt von Stritzky ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Age And Sex

scholarly journals AGREGASI TROMBOSIT DAN MEAN PLATELET VOLUME DENGAN SINDROM METABOLIK TERKAIT KEGEMUKAN

2018 ◽  
Vol 21 (2) ◽  
pp. 130
Author(s):  
Nindia Sugih Arto ◽  
Adi Koesoema Aman ◽  
Dharma Lindarto
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Platelet Aggregation ◽  
Mean Platelet Volume ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Platelet Volume ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
The Mean

The hyperactivity of platelet had been seen in patients with metabolic syndrome which can be caused by several factors, such as:insulin resistance, obesity, dyslipidemia and hypertension. The hyperactivity of platelet leads to its aggregation that can be increased therisk of cardiovascular disease. This study is aimed to know the platelet aggregation and mean platelet volume in patients with metabolicsyndrome and obesity by determination 30 patients were choosen for this cross sectional study, those whom attended to the laboratoryand policlinic at H. Adam Malik Medan Hospital, between May 2013 until August 2013. The diagnosis used of metabolic syndromecriteria established by the International Diabetic Federation 2005. From the 30 patients with 15 metabolic syndrome and 15 obesity,four patients were excluded because of their tryglyceride were more than 200 mg/dL. There is no significant differences between theplatelet aggregation with the agonist adenosin difosfat (ADP) in patient with metabolic syndrome and obesity. And there is no significantdifferences of the mean platelet volume values between the metabolic syndrome (9.6±0.93) and the obesity group (9.73±0.74), with pvalue 0.846. Based on this study there is no significant differences between the platelet aggregation and the Mean Platelet Volume values(MPV) in the metabolic syndrome and the obese group

scholarly journals Elevated Serum Advanced Glycation Endproducts in Obese Indicate Risk for the Metabolic Syndrome: A Link Between Healthy and Unhealthy Obesity?

2015 ◽  
Vol 100 (5) ◽  
pp. 1957-1966 ◽  
Author(s):  
Jaime Uribarri ◽  
Weijing Cai ◽  
Mark Woodward ◽  
Elizabeth Tripp ◽  
Laurie Goldberg ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Fat Mass ◽  
Advanced Glycation Endproducts ◽  
Elevated Serum ◽  
Cross Sectional Study ◽  
Advanced Glycation ◽  
Cross Sectional ◽  
The Metabolic Syndrome

Abstract Context: Although obesity can predispose to the metabolic syndrome (MS), diabetes, and cardiovascular disease, not all obese subjects develop MS, hence the need for new indicators of risk for this syndrome. Advanced glycation end products (AGEs) correlate with factors involved in the MS, including inflammation and insulin resistance (IR). Because AGEs can be derived from food and are modifiable, it is important to determine whether they are a risk factor for MS. Objective: The objective of this study was to assess the association of endogenous and exogenous AGEs with MS criteria. Design: The following data were collected in a cross-sectional study of subjects with and without the MS: serum AGEs (sAGEs) and mononuclear cell AGEs, metabolites, pro- and antiinflammatory markers, body fat mass measures, including abdominal magnetic resonance imaging, and caloric and dietary AGE (dAGE) consumption. Setting: The study was conducted in the general community. Participants: Participants included 130 MS and 139 non-MS subjects of both sexes, older than 50 years. Results: sAGEs (ϵN-carboxymethyllysine, methylglyoxal) were markedly elevated in obese persons with more than one other MS criteria but not in obese without MS criteria. sAGEs directly correlated with markers of IR (HOMA) and inflammation (leptin, TNFα, RAGE) and inversely with innate defenses (SIRT1, AGE receptor 1 [AGER1], glyoxalase-I, adiponectin). sAGEs correlated with dAGEs but not with calories, nutrient consumption, or fat mass measures. Consumption of dAGE, but not of calories, was markedly higher in MS than in non-MS. Conclusion: High sAGEs, a modifiable risk factor for IR, may indicate risk for the MS, type 2 diabetes, and cardiovascular disease. High dietary AGE consumption and serum AGE levels may link healthy obesity to at-risk obesity.

A Cross-Sectional Study of Socioeconomic Status and the Metabolic Syndrome in Korean Adults

2007 ◽  
Vol 17 (4) ◽  
pp. 320-326 ◽  
Author(s):  
Min Jung Park ◽  
Kyung Eun Yun ◽  
Go Eun Lee ◽  
Hong Jun Cho ◽  
Hye Soon Park
Keyword(s):  
Metabolic Syndrome ◽  
Socioeconomic Status ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Korean Adults ◽  
The Metabolic Syndrome

The association between meat consumption and the metabolic syndrome: a cross-sectional study and meta-analysis

2021 ◽  
pp. 1-15
Author(s):  
Khemayanto Hidayat ◽  
Wan-Zhan Zhu ◽  
Si-Min Peng ◽  
Jin-Jin Ren ◽  
Meng-Lan Lu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Fish Consumption ◽  
Meta Analysis ◽  
Meat Consumption ◽  
Cross Sectional Study ◽  
Red Meat ◽  
Inverse Association ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Metabolic Syndrome

Abstract The findings regarding the associations between red meat, fish and poultry consumption, and the metabolic syndrome (Mets) have been inconclusive, and evidence from Chinese populations is scarce. A cross-sectional study was performed to investigate the associations between red meat, fish and poultry consumption, and the prevalence of the Mets and its components among the residents of Suzhou Industrial Park, Suzhou, China. A total of 4424 participants were eligible for the analysis. A logistic regression model was used to estimate the OR and 95 % CI for the prevalence of the Mets and its components according to red meat, fish and poultry consumption. In addition, the data of our cross-sectional study were meta-analysed under a random effects model along with those of published observational studies to generate the summary relative risks (RR) of the associations between the highest v. lowest categories of red meat, fish and poultry consumption and the Mets and its components. In the cross-sectional study, the multivariable-adjusted OR for the highest v. lowest quartiles of consumption was 1·23 (95 % CI 1·02, 1·48) for red meat, 0·83 (95 % CI 0·72, 0·97) for fish and 0·93 (95 % CI 0·74, 1·18) for poultry. In the meta-analysis, the pooled RR for the highest v. lowest categories of consumption was 1·20 (95 % CI 1·06, 1·35) for red meat, 0·88 (95 % CI 0·81, 0·96) for fish and 0·97 (95 % CI 0·85, 1·10) for poultry. The findings of both cross-sectional studies and meta-analyses indicated that the association between fish consumption and the Mets may be partly driven by the inverse association of fish consumption with elevated TAG and reduced HDL-cholesterol and, to a lesser extent, fasting plasma glucose. No clear pattern of associations was observed between red meat or poultry consumption and the components of the Mets. The current findings add weight to the evidence that the Mets may be positively associated with red meat consumption, inversely associated with fish consumption and neutrally associated with poultry consumption.

scholarly journals Associations of n-3 Fatty Acids and Fish Consumption with the Metabolic Syndrome in College Students (P18-022-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Nicole Karazurna ◽  
Caitlin Porter ◽  
Jesse Stabile Morrell ◽  
Sherman Bigornia
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Metabolic Syndrome ◽  
Young Adults ◽  
Fish Consumption ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Age Related

Abstract Objectives Evidence suggests that omega-3 fatty acid (n-3 FA) and fish consumption may reduce the risk of the metabolic syndrome (MetS) in older adults. We previously reported that MetS components are prevalent among college students. Identifying modifiable risk factors of developing MetS and its components in young adults will inform potential targets to reduce the risk of age-related health conditions. Our objectives were to measure the cross-sectional impacts of n-3 FA and fish consumption on ≥2 or ≥3 MetS criteria and individual criteria among college students. Methods The College Health and Nutrition Assessment Survey is an on-going cross-sectional study at a public New England college. We examined data from Jan 2008 – May 2017. After excluding those with missing data our final sample size was n = 4271 for n-3 FA & n = 2072 for fish intake analyses. Diet was assessed by a 3 day food record; MetS criteria were collected in fasted state. We expressed n-3 FAs as g/1000 kcals/d. Servings of fish/week was obtained via an online survey. Individuals were categorized as consuming ≥ 2 servings/week or not. MetS was defined as meeting ≥ 3 criteria: elevated glucose, triglycerides, blood pressure, waist circumference, and low HDL. Analyses were conducted by logistic regression. Results The average n-3 FA intake was 0.4 g/1000 kcal/d ± 0.25 & 40% consumed ≥ 2 servings of fish/week. Prevalence estimates for meeting ≥ 2 criteria was 18.8% and 4.8% for MetS. In sex- and energy- adjusted models, n-3 FA consumption was inversely associated with MetS (OR = 0.38; 95%CI: 0.20, 0.71) and ≥2 MetS criteria (OR = 0.67; 95%CI: 0.49, 0.91). Associations were no longer significant after considering additional confounders. Fish consumption was not significantly associated with MetS or ≥2 criteria in any model. Further n-3 FAs and fish consumption was not associated with any individual MetS criteria. Conclusions In this cross-sectional study among college students, n-3 FA and fish consumption were not significantly associated with MetS outcomes. Further research is needed in this population using longitudinal study designs to understand long-term impact of n-3 consumption on the development of MetS and associated cardio metabolic risk factors in young adults. Funding Sources New Hampshire Agriculture Experiment Station and USDA National Institute of Food and Agriculture Hatch Project 1010738.

scholarly journals Association between proinsulin, insulin, proinsulin/insulin ratio, and insulin resistance status with the metabolic syndrome

2007 ◽  
Vol 51 (7) ◽  
pp. 1128-1133 ◽  
Author(s):  
Ivana Pivatto ◽  
Patricia Bustos ◽  
Hugo Amigo ◽  
Ana Maria Acosta ◽  
Antonio Arteaga
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Resistance Index ◽  
Cross Sectional Study ◽  
Blood Levels ◽  
Model Assessment ◽  
Cross Sectional ◽  
Predictive Values ◽  
The Metabolic Syndrome

The Metabolic Syndrome (MS) constitutes an independent risk factor of cardiovascular disease. There is evidence that proinsulin blood levels and the proinsulin/insulin ratio are associated to the MS. The purpose of this study was to compare proinsulin and insulin, insulin resistance index, and the proinsulin/insulin ratio as predictors of MS. This is a cross-sectional study involving 440 men and 556 women with a mean age of 24 years. Diagnosis of MS was made according to the National Cholesterol Education Program Adult Treatment Panel III. Blood levels of insulin and proinsulin were measured, and the insulin resistance status was estimated using the homeostatic model assessment (HOMA-IR). The prevalence of MS was 10.1%. HOMA-IR was the best MS risk factor for both women and men (OR = 2.04; 95% CI: 1.68-2.48 and 1.09; 95% CI: 1.05-1.13, respectively). HOMA-IR presented the best positive predictive value for MS: 22% and 36% for men and women, respectively, and was the best MS indicator. The proinsulin/insulin ratio did not show significant association with MS. HOMA-IR, proinsulin, and insulin presented good negative predictive values for both genders that could be used to identify an at-risk population.

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