Magnitude and Management of Metabolic Syndrome in Spain in 2008-2010: The ENRICA Study

Guallar‐Castillón, Pilar; Pérez, Raúl Francisco; García, Enrique Baca; León‐Muñoz, Luz M.; Aguilera, Mònica; Graciani, Auxiliadora; Gutiérrez-Fisac, Juan Luis; Banegas, José R.; Rodríguez‐Artalejo, Fernando

doi:10.1016/j.rec.2013.08.014

Cited by 40 publications

(42 citation statements)

References 26 publications

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“…While we acknowledge the present study is not a population‐based study, it is important to note that the overall prevalence of obesity (36.7%), arterial hypertension (23.3%), diabetes (7%) and MetS (25.6%) found in our patients with gallstones studied closely mimic to that reported in the most recent Spanish population‐based studies (28.2, 29.2, 7.8 and 22.7% respectively) . Taken these facts into account, it is conceivable that the figures of NASH prevalence found in our study population may be extrapolated to the Spanish adult population because the demographic features and major risk factors for NASH, such as obesity, diabetes and MetS, are similarly represented.…”

Section: Discussionsupporting

confidence: 82%

“…Univariate and multivariate analysis of the independent variables associated with NASH in the entire population of patients with gallstones studied (n = 215) NASH, non-alcoholic steatohepatitis; OR, odds ratio; CI, confidence interval; HOMA, homeostatic model assessment; HDL, high-density lipoprotein; ALT, alanine aminotransferase; c-GT, gamma-glutamyltransferase (32)(33)(34)…”

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confidence: 99%

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Prevalence and risk factors for biopsy‐proven non‐alcoholic fatty liver disease and non‐alcoholic steatohepatitis in a prospective cohort of adult patients with gallstones

García‐Monzón

Vargas-Castrillón

Carro

et al. 2015

Liver International

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Section: Discussionsupporting

confidence: 82%

mentioning

confidence: 99%

Prevalence and risk factors for biopsy‐proven non‐alcoholic fatty liver disease and non‐alcoholic steatohepatitis in a prospective cohort of adult patients with gallstones

García‐Monzón

Vargas-Castrillón

Carro

et al. 2015

Liver International

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“…Almost a quarter of the adults in this study had a diagnosis of MS, which is in agreement with other population-based studies in Spain [3]. Our cohort exhibited a BMI that seems slightly lower than that reported for the cohorts in other studies with Spanish populations [19].…”

Section: Discussionsupporting

confidence: 91%

“…It is a highly prevalent condition, with an estimated quarter of all adults having three or more CMRFs, and its presence increases the risk to develop type 2 diabetes as well as the risk for cardiovascular morbidity and mortality [1–3]. Although the MS concept has been challenged, as clustering does not provide more risk than the sum of the individual risk factors, assessment of the clustering of CMRFs is still a useful tool in clinical practice to recognize patients at risk [4].…”

Section: Introductionmentioning

confidence: 99%

Genomic and Metabolomic Profile Associated to Clustering of Cardio-Metabolic Risk Factors

et al. 2016

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BackgroundTo identify metabolomic and genomic markers associated with the presence of clustering of cardiometabolic risk factors (CMRFs) from a general population.Methods and FindingsOne thousand five hundred and two subjects, Caucasian, > 18 years, representative of the general population, were included. Blood pressure measurement, anthropometric parameters and metabolic markers were measured. Subjects were grouped according the number of CMRFs (Group 1: <2; Group 2: 2; Group 3: 3 or more CMRFs). Using SNPlex, 1251 SNPs potentially associated to clustering of three or more CMRFs were analyzed. Serum metabolomic profile was assessed by 1H NMR spectra using a Brucker Advance DRX 600 spectrometer. From the total population, 1217 (mean age 54±19, 50.6% men) with high genotyping call rate were analysed. A differential metabolomic profile, which included products from mitochondrial metabolism, extra mitochondrial metabolism, branched amino acids and fatty acid signals were observed among the three groups. The comparison of metabolomic patterns between subjects of Groups 1 to 3 for each of the genotypes associated to those subjects with three or more CMRFs revealed two SNPs, the rs174577_AA of FADS2 gene and the rs3803_TT of GATA2 transcription factor gene, with minimal or no statistically significant differences. Subjects with and without three or more CMRFs who shared the same genotype and metabolomic profile differed in the pattern of CMRFS cluster. Subjects of Group 3 and the AA genotype of the rs174577 had a lower prevalence of hypertension compared to the CC and CT genotype. In contrast, subjects of Group 3 and the TT genotype of the rs3803 polymorphism had a lower prevalence of T2DM, although they were predominantly males and had higher values of plasma creatinine.ConclusionsThe results of the present study add information to the metabolomics profile and to the potential impact of genetic factors on the variants of clustering of cardiometabolic risk factors.

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“…In the 3rd National Health and Nutrition Examination Survey, metabolic syndrome was present in 22.8% and 22.6% of US men and women, respectively 5. Another study from 2008 to 2010 in 11 149 adults in Spain reported the prevalence of metabolic syndrome as 22.7% 6. A systematic review in Brazil revealed prevalence of metabolic syndrome in the general population to be 29.6% and as high as 65.3% in an indigenous population 7.…”

Section: Introductionmentioning

confidence: 99%

Circadian clock desynchronisation and metabolic syndrome

Sheikh-Ali

Maharaj

2014

Postgraduate Medical Journal

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There is emerging evidence in the literature to suggest that disruption of the normal circadian rhythm (sleep-wake cycle signalling) is a potential risk factor to explain the increased incidence of metabolic syndrome. Over the last century, obesity, diabetes and other components of metabolic syndrome have been on the rise. On the other hand, the amount of sleep has decreased from an average of 6-8 h per night. Furthermore, the quality of sleep has declined with more individuals voluntarily decreasing their amount of sleep to work or enjoy leisure activities. Over the last decade, researchers have examined the relationship between disruption in human circadian system and the emergence of symptoms related to metabolic syndrome. Indeed, epidemiological studies suggest a relation between sleep duration and diabetes and obesity. Moreover, experimental animal and human studies suggest such a relation. These studies propose optimum sleep duration of 7-8 h per night to avoid circadian rhythm disruption and suggest that sleep disturbance, whether iatrogenic or disease-related, should be considered as a risk factor for metabolic syndrome, and be addressed. This field is in its infancy and further understanding of specific pathophysiological pathways of circadian desynchronisation will help in developing novel preventive and therapeutic strategies.

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Magnitude and Management of Metabolic Syndrome in Spain in 2008-2010: The ENRICA Study

Cited by 40 publications

References 26 publications

Prevalence and risk factors for biopsy‐proven non‐alcoholic fatty liver disease and non‐alcoholic steatohepatitis in a prospective cohort of adult patients with gallstones

Prevalence and risk factors for biopsy‐proven non‐alcoholic fatty liver disease and non‐alcoholic steatohepatitis in a prospective cohort of adult patients with gallstones

Genomic and Metabolomic Profile Associated to Clustering of Cardio-Metabolic Risk Factors

Circadian clock desynchronisation and metabolic syndrome

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