Comparison between different criteria for metabolic syndrome in schoolchildren from southern Brazil

Reuter, Cézane Priscila; Burgos, Míria Suzana; Barbian, Cláudia Daniela; Renner, Jane Dagmar Pollo; Franke, Silvia Isabel Rech; Mello, Elza Daniel de

doi:10.1007/s00431-018-3202-2

Cited by 22 publications

(15 citation statements)

References 48 publications

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“…Why there is a need to have a simplified mathematical model in clinical practice? As highlighted above multiple criteria are there which are overlapping with slightly different cut-offs and parameters which create confusion in routine clinical practice, which may not be providing a unified diagnostic system for patients [6]. Underlying insulin resistance by using insulin-based models HOMAIR is also difficult to measure both due to cost and clinical difficulties in routine practice which makes some of the metabolic syndrome ambiguous in terms of correlation with established metabolic syndrome criteria [7].…”

Section: Insulin Resistancementioning

confidence: 99%

Mathematical Translation of Metabolic Syndrome: Assessment of siMS Score for Metabolic Syndrome and Biochemical Risks

Khan¹,

Khan²,

Hashmat³

et al. 2020

OJEMD

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Section: Insulin Resistancementioning

confidence: 99%

Mathematical Translation of Metabolic Syndrome: Assessment of siMS Score for Metabolic Syndrome and Biochemical Risks

Khan¹,

Khan²,

Hashmat³

et al. 2020

OJEMD

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“…In this study, the prevalence of MetS as measured using the modi ed NCEP ATP III and IDF criteria was 2.3% and 1.2% respectively, and increase to 4.3% by using this study's criteria. Low prevalence of MetS was also found among adolescents(mainly in urban area) in southern Brazil(1.9% to 5.0% by using different criteria) and in many studies(1.6% to 6.3% by using the IDF criteria) [27].…”

Section: Discussionmentioning

confidence: 73%

“…Second, there are many version of criteria published for metabolic syndrome in adolescents. However, Reuter et al found low agreement between different criteria, and emphasized the importance to create speci c cutoff points of MetS components for adolescents in their region [27]. In this study, despite using current main criteria (modi ed NCEP ATP III, IDF), we establish new criteria for urban adolescents in Taipei City in Taiwan for comparison.…”

Section: Future Aspect Of Establishing Suitable Criteria Of Mets For mentioning

confidence: 92%

“…First, we already know the difference of prevalence of MetS and MetS components abnormality in adolescents among different races and regions in previous studies [7,27]. In this study, urban high-school students in Taipei City in Taiwan, which are all Asians, were included for the purpose to specify race and region.…”

Section: Future Aspect Of Establishing Suitable Criteria Of Mets For mentioning

confidence: 99%

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Investigating the definitions of metabolic syndrome among urban high-school students in Taipei City in Taiwan and the optimal cutoff points of relevant risk factors

Lin

Chen²,

Kao

2020

Preprint

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Background: A comparison of different definitions of metabolic syndrome (MetS) on its prevalence among a sample of urban high-school students in Taipei City in Taiwan was examined. The differences in the discriminatory power and the optimal cutoff points of relevant risk factors were analyzed in this study.Methods: A total of 45,756 health checkup data sets from 2011 to 2014 of high-school students aged between 15 to 17 years were sourced in Taipei city in Taiwan. The database included the students’ gender, age, height, weight, waist circumference (WC), systolic and diastolic blood pressure, as well as biochemical markers such as triglycerides (TG), high-density lipoprotein cholesterol, and fasting glucose (FG) levels. The receiver operating characteristic (ROC) curve statistical approach was used to analyze the discriminatory power and optimal cutoff points of the relevant MetS risk factors. Results: The prevalence of MetS among adolescents in Taipei City in Taiwan was 2.3% and 1.2%, according to the criteria of the modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) and the International Diabetes Federation (IDF) respectively. The prevalence increased to 4.3% when this study’s criteria were used. Among the components of MetS analyzed, WC and TG had stronger discriminatory powers, while FG had the weakest. The optimal cutoff point for WC was approximately the 90th percentile, while that for the TG was similar to the criteria of the modified NCEP ATP III. About 44.6% of adolescents had at least one MetS component. Body mass index also had good discriminatory power.Conclusions: The prevalence of MetS differs depending on the diagnostic criteria used. Redefining the cutoff points for the components of MetS in adolescents in different regions, as well as further screening and intervention, is crucial to prevent cardiovascular disease and type 2 diabetes mellitus in adulthood.

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“…Both studies used IDF parameters [7]. Reuter et al (2018) [33] also obtained a low prevalence of MS in adolescents from Rio Grande do Sul State, by the criteria of Cook et al [34] (1.9%) and IDF (2.1%). In Piauí, studies with adolescents from private schools demonstrated MS prevalence values close to those of this research, making up more than 3% of the sample, also considering the criteria of Cook et al [34] and IDF [35].…”

Section: Discussionmentioning

confidence: 98%

Metabolic syndrome in adolescents and its association with diet quality

et al. 2019

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Objective Analyzing the prevalence of metabolic syndrome and its association with adolescent diet quality. Methods Cross-sectional research with 327 adolescents from public and private high schools of Teresina, Piauí. Socioeconomic, anthropometric, and food consumption data were analyzed to obtain the Brazilian Healthy Eating Index-Revised. Moreover, data related to metabolic syndrome (blood glucose, blood pressure, waist circumference, triglycerides, and high-density lipoprotein cholesterol) were also analyzed. Continuous variables were described by means, standard deviations, and 95% confi dence intervals. To verify the association between dependent and explanatory variables, we calculated the adjusted odds ratio. The level of signifi cance was set at p<0.05. Results The prevalence of metabolic syndrome was 3.3%, with low high-density lipoprotein cholesterol concentration being the most frequent alteration (50.5%). The mean score on the Brazilian Healthy Eating Index-Revised was 55.4 points. The worst scores were obtained in whole cereals, dark-green and orange vegetables, oils, milk and dairy products, and whole fruits. In contrast, total cereals, meat, eggs, and legumes had scores close to the maximum stipulated. The lowest tertile of dark-green, orange, and leguminous vegetables showed risk for low high-density lipoprotein cholesterol, and the second tertile was protective against high blood glucose levels. As for the milk group, its lower intake increased the chances for high triglyceride and blood pressure levels. Conclusion Despite the low prevalence of metabolic syndrome, there were significant alterations in its components,associated with less consumption of important Brazilian Healthy Eating Index-Revised items.

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Comparison between different criteria for metabolic syndrome in schoolchildren from southern Brazil

Cited by 22 publications

References 48 publications

Mathematical Translation of Metabolic Syndrome: Assessment of siMS Score for Metabolic Syndrome and Biochemical Risks

Mathematical Translation of Metabolic Syndrome: Assessment of siMS Score for Metabolic Syndrome and Biochemical Risks

Investigating the definitions of metabolic syndrome among urban high-school students in Taipei City in Taiwan and the optimal cutoff points of relevant risk factors

Metabolic syndrome in adolescents and its association with diet quality

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