scholarly journals Letter by McAuley et al Regarding Article, “Impact of Body Mass Index and the Metabolic Syndrome on the Risk of Cardiovascular Disease and Death in Middle-Aged Men”

Circulation ◽  
2010 ◽  
Vol 122 (11) ◽  
Author(s):  
Paul A. McAuley ◽  
Xuemei Sui ◽  
Steven N. Blair
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Middle Aged ◽  
The Metabolic Syndrome ◽  
Article Impact

scholarly journals Sex hormones, inflammation and the metabolic syndrome: a population-based study

2003 ◽  
pp. 601-608 ◽  
Author(s):  
DE Laaksonen ◽  
L Niskanen ◽  
K Punnonen ◽  
K Nyyssonen ◽  
TP Tuomainen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Sex Hormones ◽  
Free Testosterone ◽  
Population Based ◽  
World Health ◽  
Inverse Association ◽  
The Metabolic Syndrome

OBJECTIVE: Mild hypoandrogenism in men is associated with features of the metabolic syndrome, but the association with the metabolic syndrome itself using an accepted definition has not been described. DESIGN: Men with the metabolic syndrome were identified and testosterone and sex hormone-binding globulin (SHBG) levels were determined in a population-based cohort of 1896 non-diabetic middle-aged Finnish men. RESULTS: Calculated free testosterone and SHBG were 11% and 18% lower (P<0.001) in men with the metabolic syndrome (n=345, World Health Organisation definition). After categorisation by tertiles and adjusting for age and body mass index, total and free testosterone and SHBG were inversely associated with concentrations of insulin, glucose, triglycerides, C-reactive protein (CRP) and CRP-adjusted ferritin and positively associated with high-density lipoprotein cholesterol. Men with free testosterone levels in the lowest third were 2.7 (95% confidence interval (CI) 2.0-3.7) times more likely to have the metabolic syndrome in age-adjusted analyses, and 1.7 (95% CI 1.2-2.4) times more likely even after further adjusting for body mass index. Exclusion of men with cardiovascular disease did not alter the association. The inverse association of SHBG with the metabolic syndrome was somewhat stronger. CONCLUSIONS: Low testosterone and SHBG levels were strongly associated not only with components of the metabolic syndrome, but also with the metabolic syndrome itself, independently of body mass index. Furthermore, sex hormones were associated with inflammation and body iron stores. Even in the absence of late-stage consequences such as diabetes and cardiovascular disease, subtle derangements in sex hormones are present in the metabolic syndrome, and may contribute to its pathogenesis.

scholarly journals Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. 4899-4907 ◽  
Author(s):  
Kyung Hee Park ◽  
Lesya Zaichenko ◽  
Mary Brinkoetter ◽  
Bindiya Thakkar ◽  
Ayse Sahin-Efe ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cvd Risk ◽  
Baseline Serum ◽  
The Metabolic Syndrome ◽  
Increased Risk

Context: Irisin, a recently identified hormone, has been proposed to regulate energy homeostasis and obesity in mice. Whether irisin levels are associated with risk of the metabolic syndrome (MetS), cardiometabolic variables, and cardiovascular disease (CVD) risk in humans remains unknown. Objective: Our objective was to assess the associations between baseline serum irisin levels and MetS, cardiometabolic variables, and CVD risk. Design, Setting, and Subjects: We conducted a comparative cross-sectional evaluation of baseline circulating levels of the novel hormone irisin and the established adipokine adiponectin with MetS, cardiometabolic variables, and CVD risk in a sample of 151 subjects. Results: Baseline irisin levels were significantly higher in subjects with MetS than in subjects without MetS. Irisin was associated negatively with adiponectin (r = −0.4, P &lt; .001) and positively with body mass index (r = 0.22, P = .008), systolic (r = 0.17, P = .04) and diastolic (r = 0.27, P = .001) blood pressure, fasting glucose (r = 0.25, P = .002), triglycerides (r = 0.25, P = .003), and homeostasis model assessment for insulin resistance (r = 0.33, P &lt; .001). After adjustment for potential confounders, including body mass index, subjects in the highest tertile of irisin levels were more likely to have MetS (odds ratio [OR] = 9.44, 95% confidence interval [CI] = 2.66–33.44), elevated fasting blood glucose (OR = 5.80, 95% CI = 1.72–19.60), high triglycerides (OR = 3.89, 95% CI = 1.16–13.03), and low high-density lipoprotein cholesterol (OR = 3.30, 95% CI = 1.18–9.20). Irisin was independently associated with homeostasis model assessment for insulin resistance and general Framingham risk profile in multiple linear regression analyses after adjustment for confounders. Adiponectin demonstrated the expected associations with outcomes. Conclusions: Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

scholarly journals Prevalence of Obesity and Metabolic Syndrome in Adult Population of Selected Regions of the Czech Republic. Relation to Eating Habits and Smoking

2012 ◽  
Vol 113 (3) ◽  
pp. 206-216 ◽  
Author(s):  
Michala Vosátková ◽  
J. Čeřovská ◽  
H. Zamrazilová ◽  
P. Hoskovcová ◽  
M. Dvořáková ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Czech Republic ◽  
Body Mass ◽  
Eating Habits ◽  
Adult Population ◽  
Total Sample ◽  
Female Group ◽  
The Czech Republic ◽  
The Metabolic Syndrome

Prevalence of the metabolic syndrome is around 25% in Europe but its occurrence grows in both genders with increasing age and weight. Lifestyle factors may contribute to the risk of developing metabolic syndrome. The objective of this study was to determine the relationship between metabolic syndrome and eating habits as well as length of sleep and smoking. Participants (519 women and 286 men aged 18–65 years) were chosen by random selection and questioned about their eating habits, sleep length and smoking. This information was combined with anthropometric and clinical parameters of metabolic syndrome. The female group was divided into two subgroups depending on climacteric stage (before and after menopause). Metabolic syndrome prevalence does not differ between regions in neither female (29.9%) nor male (32.5%) group. Body mass index ≥25 was detected in 50.4% of all women and 65.7% of men; 23.5% of all women and 21.7% men had body mass index ≥30. In conclusion, metabolic syndrome prevalence was proved to depend on eating habits and family heredity. Positive correlation between the above mentioned factors demonstrated itself in the total sample but not in individual regions. Metabolic syndrome prevalence in Czech adults is comparable with neighbouring countries. No significant interregional differences in metabolic syndrome prevalence within the Czech Republic were detected. In conclusion, relationship between eating habits and metabolic syndrome was confirmed.

Tendencies Of Body Mass Index And Waist Circumference Along With Aging In Middle-Aged Lithuanian Women Without Overt Cardiovascular Disease

2019 ◽  
Vol 287 ◽  
pp. e183
Author(s):  
Z. Petrulioniene ◽  
E. Rinkuniene ◽  
U. Gargalskaite ◽  
S. Kutkiene ◽  
V. Dzenkeviciute ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Middle Aged

scholarly journals Sex Differences in the Influence of Sleep on Body Mass Index and Risk of Metabolic Syndrome in Middle-Aged Adults

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 561
Author(s):  
Hyun-E Yeom ◽  
Jungmin Lee
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Middle Aged ◽  
Cross Sectional ◽  
Aged People ◽  
Middle Aged Adults ◽  
The Impact

Poor sleep and obesity are intimately related to cardiovascular diseases. We aimed to examine whether the influence of sleep and body mass index (BMI) on the risk of metabolic syndrome (MetS) differed by sex in middle-aged people. It is a cross-sectional study of 458 Korean participants who completed self-administered surveys; the data were analyzed using the PROCESS macro for SPSS. We found that both sleep and BMI were significant predictors of MetS risk in women, particularly by the role of BMI connecting the impact of sleep to MetS risk. However, the association was not found in men, showing that BMI, but not sleep, was a significant predictor of MetS. This sex-related difference was due to different relationships between sleep and BMI, indicating that BMI was more dependent on sleep quality for women than for men. Therefore, a sex-specific approach to decrease the risk of MetS is warranted.

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