In addition to insulin resistance and obesity, hyperuricemia is strongly associated with metabolic syndrome using different definitions in Chinese populations: a population-based study (Taichung Community Health Study)

2007 ◽  
Vol 67 (3) ◽  
pp. 432-433 ◽  
Author(s):  
W-Y Lin ◽  
C-S Liu ◽  
T-C Li ◽  
T Lin ◽  
W Chen ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Community Health ◽  
Population Based ◽  
Health Study ◽  
Population Based Study ◽  
Chinese Populations

scholarly journals Arterial Stiffness is Strongly Associated with Insulin Resistance in Chinese —A Population-Based Study (Taichung Community Health Study, TCHS)

2011 ◽  
Vol 18 (2) ◽  
pp. 122-130 ◽  
Author(s):  
Chih-Te Ho ◽  
Cheng-Chieh Lin ◽  
Hua-Shui Hsu ◽  
Chiu-Shong Liu ◽  
Lance Eric Davidson ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Arterial Stiffness ◽  
Community Health ◽  
Population Based ◽  
Health Study ◽  
Population Based Study

INSULIN RESISTANCE INDICES IN A POPULATION-BASED STUDY AND THEIR PREDICTIVE VALUE IN DEFINING METABOLIC SYNDROME

Epidemiology ◽  
2005 ◽  
Vol 16 (5) ◽  
pp. S131 ◽  
Author(s):  
M Szurkowska ◽  
K Szafraniec ◽  
A Gilis-Januszewska ◽  
Z Szybin&OV0475;ki
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Predictive Value ◽  
Population Based ◽  
Population Based Study

scholarly journals Very similar cardiometabolic profile in the moderate and high cardiovascular risk classes: a population-based study

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Chlabicz ◽  
J Jamolkowski ◽  
W Laguna ◽  
P Sowa ◽  
M Paniczko ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Population Based ◽  
Low Risk ◽  
Public Institution ◽  
Population Based Study ◽  
The Metabolic Syndrome ◽  
Cardiometabolic Profile

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Medical University of Bialystok, Poland Background Cardiovascular disease (CVD) is a major, worldwide problem and remain the dominant cause of premature mortality in the word. Simultaneously the metabolic syndrome is a growing problem. The aim of this study was to investigate the cardiometabolic profile among cardiovascular risk classes, and to estimate CV risk using various calculators. Methods The longitudinal, population-based study, was conducted in 2017-2020. A total of 931 individuals aged 20-79 were included. Anthropometric and biochemical profiles were measured according to a standardized protocols. The study population was divided into CV risk classes according to the latest recommendation. Comparisons variables between subgroups were conducted using Dwass-Steele-Critchlow-Fligner test. To estimate CV risk were used: the  Systematic Coronary Risk Estimation system, Framingham Risk Score and LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people (LIFE-CVD). Results The mean age was 49.1± 15.5 years, 43.2% were male. Percentages of low-risk, moderate-risk, high-risk and very-high CV risk were 46.1%, 22.8%, 13.5%, 17.6%, respectively. Most of the analyzed anthropometric, body composition and laboratory parameters did not differ between the moderate and high CV risk participants, whereas the low risk group differed significantly. In the moderate and high-risk groups, abdominal distribution of adipose tissue dominated with significantly elevated parameters of insulin resistance. Interestingly, estimating lifetime risk of myocardial infarction, stroke or CV death using LIFE-CVD calculator yielded similar results in moderate and high CV risk classes. Conclusion The participants belonging to moderate and high CV risk classes have a very similar unfavorable cardiometabolic profile which may result in the similar lifetime CV risk. This may imply the need for more aggressive pharmacological and non-pharmacological management of CV risk factors in the moderate CV risk population. It would be advisable to consider combining the moderate and high risk classes into one high CV risk class, or it may be worth adding one of the parameters of abdominal fat distribution to the CV risk calculators as an expression of increased insulin resistance. Abstract Figure 1.

scholarly journals Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Karim Parastouei ◽  
Hosein Rostami ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Metabolic Syndrome ◽  
Positive Association ◽  
Population Based ◽  
Population Based Study ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Confounding Variables ◽  
Adjusted Model ◽  
Diet And Lifestyle

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.

Uric acid: a new marker for metabolic syndrome? Results of a population-based study with adults

2021 ◽  
Author(s):  
Emanuele L.G. de Magalhães ◽  
Leidjaira L. Juvanhol ◽  
Danielle C.G. da Silva ◽  
Fabrícia G. Ferreira ◽  
Denise M.T. Roberto ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Uric Acid ◽  
Population Based ◽  
Population Based Study
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