Objective: To determine: (a) whether the components of metabolic syndrome (MetS) cluster more frequently than predicted by chance alone and (b) whether increased risk for MetS is associated also with values of each component below, but close to the cutoff points defining MetS.

Research Design And Methods: Anthropometrical and biochemical measurements were performed and a dietary questionnaire was filled-in in 1833 randomly selected non-diabetic subjects, 916 men and 917 women, 20-74 years old, in nine centres in five Mediterranean countries. The prevalence of MetS and of possible combinations of its individual components was measured. The expected frequencies of the above combinations were calculated according to the mathematical formula of probabilities.

Results: The overall prevalence of MetS was 27.2%, but varied greatly among countries, from 5.8% in Algeria to 37.3% in Greece. The observed prevalence of each combination diagnostic of MetS was higher than the expected by chance. Thus, the observed overall prevalence of MetS was also higher than the expected, 27.2 vs 24.0%, P=0.03. Furthermore, for each individual component (except high-density lipoprotein), as values in the normal range, approached the cutoff point, the risk of having MetS (i.e. clustering of the other components) increased significantly (odds ratio 2.2-4.6, P<0.001).

Conclusions: The MetS is not related to the Mediterranean type of diet and its prevalence varies greatly among five Mediterranean countries. The clustering of the components defining the MetS is not due to chance and moreover even 'high normal' levels of each component confer increased risk for the syndrome.

Download full-text PDF

Source
http://dx.doi.org/10.1038/sj.ejcn.1602467DOI Listing

Publication Analysis

Top Keywords

prevalence mets
12
clustering components
8
components metabolic
8
metabolic syndrome
8
risk mets
8
observed prevalence
8
mets higher
8
higher expected
8
mets
7
epidemiological evidence
4

Similar Publications

The association of Neutrophil-to-Lymphocyte ratio with metabolic syndrome in U.S. Adults: Findings from the 1999-2018 National Health and Nutrition Examination survey.

J Clin Transl Endocrinol

March 2025

Section on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.

Background: Identifying and treating metabolic syndrome (MetS) early is of great importance, as MetS portends numerous negative health outcomes. Identifying an inexpensive, readily available inflammatory biomarker that accurately predicts MetS could be of use to clinicians.

Methods: The aim of this study was to evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR) and MetS in U.

View Article and Find Full Text PDF

Prevalence of metabolic syndrome and its risk factors among the government bank's employees of district Bijnor, Uttar Pradesh: A cross-sectional study.

J Family Med Prim Care

December 2024

Doctor, Ayurveda, Chaudhary Brahm Prakash Ayurved Charak Sansthan, New Delhi, India.

Background: Metabolic syndrome (MetS) involves having at least 3 out of 5 health conditions that increase the risk of cardiovascular disease, stroke, and type 2 diabetes mellitus. These conditions include increased blood pressure (BP), high blood sugar, excess body fat around the waist, and abnormal cholesterol or triglyceride levels. Each of these conditions is treatable with lifestyle changes and/or medication.

View Article and Find Full Text PDF

Background: Metabolic syndrome (MetS) has been previously associated with an increased risk of developing dementia. Exploring links between MetS, neuroimaging and cognitive function measures can offer insights into whether MetS adversely affects brain health prior to dementia onset. We sought to examine the association of MetS with brain structure and cognition.

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China;, Beijing, China.

Background: Metabolic syndrome (MetS) was associated with an increased incidence of mild cognitive impairment (MCI) and progression to dementia. However, little is known about why this occurs. This study was to examine the correlation between the MetS indicators and cerebrospinal fluid (CSF) pathological protein biomarkers to investigate this mechanism.

View Article and Find Full Text PDF

Biomarkers.

Alzheimers Dement

December 2024

Centre for Brain Research, Indian Institute of Science, Bangalore, Karnataka, India.

Background: Metabolic Syndrome (MetS) is a significant health concern, characterized by a combination of cardio- vascular risk factors, influenced by genetic factors including the apolipoprotein E (ApoE). This study examines the sex- specific association between ApoE genotypes and MetS in a rural Southern Indian population METHOD: This cross- sectional study included 3741 participants aged ≥ 45 years from the rural Srinivaspura Aging, Neuro Senescence and COGnition (SANSCOG) cohort in Karnataka, India. All participants were measured for blood pressure, anthropometric measurements, and fasting concentrations of glucose, triglycerides, cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!