scholarly journals Metabolic syndrome: comparison of diagnosis criteria

2010 ◽  
Vol 86 (4) ◽  
pp. 325-330
Author(s):  
Mônica de Lima Raeder Cavali ◽  
Maria Arlete Meil Schimith Escriv&atilde ◽  
Rosana Sarmento Brasileiro ◽  
José Augusto de Aguiar Carrazedo
Diagnostics ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 192
Author(s):  
Mauricio Barrios ◽  
Miguel Jimeno ◽  
Pedro Villalba ◽  
Edgar Navarro

Metabolic Syndrome (MetS) is a cluster of risk factors that increase the likelihood of heart disease and diabetes mellitus. It is crucial to get diagnosed with time to take preventive measures, especially for patients in locations without proper access to laboratories and medical consultations. This work presented a new methodology to diagnose diseases using data mining that documents all the phases thoroughly for further improvement of the resulting models. We used the methodology to create a new model to diagnose the syndrome without using biochemical variables. We compared similar classification models, using their reported variables and previously obtained data from a study in Colombia. We built a new model and compared it to previous models using the holdout, and random subsampling validation methods to get performance evaluation indicators between the models. Our resulting ANN model used three hidden layers and only Hip Circumference, dichotomous Waist Circumference, and dichotomous blood pressure variables. It gave an Area Under Curve (AUC) of 87.75% by the IDF and 85.12% by HMS MetS diagnosis criteria, higher than previous models. Thanks to our new methodology, diagnosis models can be thoroughly documented for appropriate future comparisons, thus benefiting the diagnosis of the studied diseases.


2009 ◽  
Vol 20 ◽  
pp. S168-S169
Author(s):  
Jb Lopez Martin ◽  
Olga Marin Casajus ◽  
Eduardo Oliveros Acebes ◽  
Maria Ferrer Civeira ◽  
Diana Salor Moral ◽  
...  

2020 ◽  
Author(s):  
Yang Jiao ◽  
Xuan Xie ◽  
Chunhong Zhang ◽  
Jie Ming ◽  
Shaoyong Xu ◽  
...  

Abstract Aims This study aimed to understand the characteristics of metabolic syndrome (MetS) in populations (especially females) over 50 years old in Xi’an, China, to avail adjusting prevention strategies in similar regions. Methods 3001 people were included, based on data from “Xi'an Community-Based Management of Diabetes in the Elderly”. The prevalence rate was calculated and analyzed stratifying by gender, age and geography. Results The overall prevalence rates for males and females were 41.9±8.3% and 41.4±11.3% according to 2019 Chinese Diabetes Society diagnosis criteria, 32.0±9.0% and 49.7±9.8% according to International Diabetes Federation diagnosis criteria. The prevalence increased with age in females, but not in males. The prevalence of MetS, as well as abdominal obesity and hypertension, was higher in rural females than in urban and suburban females. Logistic regression analysis showed the risk factors included age, premature menopause, low family income and education level, sedentary time >9 hours/day, weight-gain, and family history of hypertension. Conclusions In Xi'an, China, under the current social-economic conditions, the prevalence of MetS in females over 50 years of age stands higher level than that in males, and the prevalence in rural females is higher than that in urban and suburban females, which deserves more attention.


Author(s):  
António Bovolini ◽  
Juliana Garcia ◽  
Maria Amparo Andrade ◽  
José Alberto Duarte

AbstractMetabolic syndrome (MetS) is a cluster of cardiometabolic risk factors with high prevalence among adult populations and elevated costs for public health systems worldwide. Despite the lack of consensus regarding the syndrome definition and diagnosis criteria, it is characterized by the coexistence of risk factors such as abdominal obesity, atherogenic dyslipidemia, elevated blood pressure, a prothrombotic and pro-inflammatory state, insulin resistance (IR), and higher glucose levels, factors indubitably linked to an increased risk of developing chronic conditions, such as type 2 diabetes (T2D) and cardiovascular disease (CVD). The syndrome has a complex and multifaceted origin not fully understood; however, it has been strongly suggested that sedentarism and unbalanced dietary patterns might play a fundamental role in its development. The purpose of this review is to provide an overview from the syndrome epidemiology, costs, and main etiological traits from its relationship with unhealthy diet patterns and sedentary lifestyles.


2021 ◽  
Vol 15 ◽  
pp. 1-11
Author(s):  
MUSLIMAH ITHNIN ◽  
KHAIRUN NAIN NOR ARIPIN ◽  
Nadia Mohd Effendy ◽  
Norsham Juliana ◽  
Nadeeya ‘Ayn Umaisara Mohamad Nor ◽  
...  

Metabolic syndrome is a cluster of conditions that increase the risk of developing chronic diseases. This paper aims to assess the data on metabolic syndrome among indigenous Orang Asli in Malaysia. Searches were carried out using electronic databases of CINAHL, Medline, PubMed, and Scopus using predefined keywords. Cross-sectional studies of metabolic syndrome using any clinical diagnosis criteria among adult Orang Asli in Peninsular Malaysia included. Fifteen studies with these criteria were selected, five with metabolic syndrome studies. The general prevalence (weighted mean) of metabolic syndrome in Orang Asli was 26.3% (range: 12.0–39.8). Metabolic syndrome was more frequent in females (30.0%) than in males (19.3%). The most common components of metabolic syndrome were low HDL-C levels (41.0%) and hypertension (33.7%). For abdominal obesity, high triglycerides, and abnormal glycemia, the prevalence was; 24.6%, 21.5%, and 14.0%, respectively. Conclusively, the present systematic review brings us closer to an understanding of the prevalence of metabolic syndrome among this vulnerable population. The methodological differences among the studies published limit a joint analysis of their results. Nevertheless, finding from this review shows their high prevalence of the metabolic syndrome is comparable with other ethnic groups in Malaysia that requires immediate attention from all related parties.


2007 ◽  
Vol 10 (10A) ◽  
pp. 1121-1125 ◽  
Author(s):  
Pablo Sanjurjo Crespo ◽  
Jose Angel Prieto Perera ◽  
Fernando Andrade Lodeiro ◽  
Luis Aldámiz-Echevarría Azuara

AbstractThe so-called epidemic of childhood obesity has increased the interest in the metabolic syndrome (MS) due to the potential projection into adulthood. Prevalence of the MS in adolescents has been estimated to be 6.7% in young adults and 4.2% in adolescents. Figures rise up to 28.7% in overweight and obese adolescents.The most widely accepted hypothesis links the syndrome to obesity. In the Bogalusa study, the best predictors were obesity and being in the upper quartile of basal insulin levels. Ethnic and genetic factors play a role in order to explain the syndrome in the non-obese population and the differences of interobesity.The relationship between MS and type 2 diabetes and cardiovascular disease is well established in adults. This association can be suggested in children as well, although the syndrome in childhood urgently needs to be clearly defined. In this age group, it is also of great interest to identify diagnosis criteria of the so-called pre-MS.Detection of the syndrome focuses mainly on obese and overweight young people. Other population groups such as newborns with low or high birth weight, infants with accelerated growth, or children of obese or with gestational diabetes mothers are at a higher risk of developing peripheral insulin resistance. The measurement of abdominal circumference can be a useful screening tool.Physical exercise and restriction of saturated and trans fatty acids are basic for treatment. If reducing weight is necessary, a reduction of carbohydrate intake, especially for refined sugars, must be emphasised. Dietary fibre improves insulin sensitivity.


2009 ◽  
Vol 32 (5) ◽  
pp. 420-425 ◽  
Author(s):  
L. Yu ◽  
Y. H. Zhang ◽  
Y. Y. Liu ◽  
B. T. Wu ◽  
X. Y. Zhang ◽  
...  

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