Prevalence of Metabolic Syndrome by different definitions, and its association with type 2 diabetes, pre-diabetes, and cardiovascular disease risk in Brazil

Moreira, Nayla Cristina do Vale; Hussain, Akhtar; Bhowmik, Bishwajit; Mdala, Ibrahimu; Siddiquee, Tasnima; Fernandes, Virgínia Oliveira; Júnior, Renan Magalhães Montenegro; Meyer, Haakon E

doi:10.1016/j.dsx.2020.05.043

Cited by 56 publications

(38 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We also found that the CVD risk in patients with MetS was 1.79 times higher than that in non-MetS patients, indicating that MetS can increase the CVD risk, a finding consistent with relevant study results at home and abroad. 13 This study of MetS in the Xinjiang ethnic populations has more important practical significance in predicting the CVD risk.…”

Section: Discussionmentioning

confidence: 93%

Factor Analysis of Metabolic Syndrome and Its Relationship with the Risk of Cardiovascular Disease in Ethnic Populations in Rural Xinjiang, China

Ren

Wei

Song

et al. 2021

IJGM

View full text Add to dashboard Cite

Background This cohort study created a risk equation of CVD for the Uyghur and Kazakh ethnic groups with metabolic syndrome (MetS) in Xinjiang and its associated factors, evaluated the model’s feasibility, and provided theoretical support for the prevention and early diagnosis of CVD. Methods A total of 5655 participants from Xinyuan and Jiashi counties in Xinjiang from 2010 to 2012 were selected, including 3770 and 1885 training and validation samples, respectively. A factor analysis was performed on 975 patients with MetS in the training sample, whereas potential factors related to CVD were extracted from 21 MetS biomarkers. Cox regression was used to create and verify a CVD-risk prediction model based on training samples. The receiver operating characteristic curve was drawn to evaluate the model’s prediction efficiency. Results The cumulative incidence of CVD was 9.20% (training sample, 9.12%; validation sample, 9.36%). Nine potential factors were extracted from the training sample population with MetS to predict the CVD risk: lipid (hazard ratio [HR], 1.205), obesity (HR, 1.047), liver function (HR, 1.042), myocardial enzyme (HR, 1.008), protein (HR, 1.024), blood pressure (HR, 1.027), liver enzyme (HR, 1.012), renal metabolic (HR, 1.015), and blood glucose (HR, 1.010). The area under the curve of the training and validation samples was 0.841 (95% confidence interval [CI], 0.821–0.861) and 0.889 (95% CI, 0.870–0.909), respectively. Conclusion The CVD prediction model created with nine potential factors in patients with MetS in Kazakh and Uyghur has a good predictive power.

show abstract

Section: Discussionmentioning

confidence: 93%

Factor Analysis of Metabolic Syndrome and Its Relationship with the Risk of Cardiovascular Disease in Ethnic Populations in Rural Xinjiang, China

Ren

Wei

Song

et al. 2021

IJGM

View full text Add to dashboard Cite

show abstract

“…Esto coincide con estudios realizados en otros países. (24)(25)(26) En Perú, se han realizado poco estudios de SM comparando todas las definiciones utilizadas en este estudio, empleándose generalmente los criterios diagnósticos postulados por la NCEP-ATP III, IDF y JIS. (27)(28)(29) Entre ellos, está el estudio de Arsentales-Montalva et al (30) (k = 0.45).…”

Section: R E V F a C M E Dunclassified

Comparación de diferentes definiciones de síndrome metabólico y su relación con la estimación del riesgo cardiovascular

et al. 2021

View full text Add to dashboard Cite

Introducción. En Perú se usan múltiples definiciones de síndrome metabólico (SM); sin embargo, actualmente no hay un consenso sobre cuál definición usar en la práctica clínica. Objetivos. Comparar las estimaciones de riesgo cardiovascular (RCV), obtenidas mediante la calculadora de RCV de la ACC/AHA, y evaluar su grado de concordancia con diferentes definiciones de SM en pacientes atendidos en Lima, Perú. Materiales y métodos. Estudio transversal analítico. Se revisaron las historias clínicas, obtenidas por muestreo consecutivo, de 233 pacientes atendidos entre octubre y diciembre de 2019 en el Hospital Nacional Hipólito Unanue (HNHU), Lima, Perú. El RCV se calculó mediante la calculadora virtual de RCV de la ACC/AHA y se consideraron las definiciones de SM de la OMS, NCEP-ATP III, IDF, AHA/NHLBI, JIS y ALAD para comparar el RCV según cada definición. La concordancia entre las distintas definiciones de SM se calculó mediante el coeficiente kappa con base en los seis niveles de fuerza de concordancia de Landis y Koch. Resultados. Las medianas de RCV en pacientes con SM según las definiciones de la OMS, NCEP-ATP III, IDF, AHA/NHLBI, ALAD y JIS fueron 9.6 (3.9-20.35), 7.9 (3.1-18.6), 7.3 (3-16.5), 7.8 (3-17.6), 7.1 (2.9-16.5), y 7.1 (3.1-16.5), respectivamente. La prevalencia de SM según las definiciones JIS, IDF, ALAD, AHA/NHLBI, NCEP-ATP III y OMS fue 81.97%, 80.26%, 74.68%, 67.81%, 65.67% y 51.14%, respectivamente. La concordancia entre los criterios de JIS y los de IDF, ALAD, NCEP-ATP III y AHA/NHLBI fue 0.944, 0.787, 0.592 y 0.567, respectivamente, pero entre los de JIS y OMS, 0.286. Conclusiones. Existen diferencias entre las estimaciones de RCV según las distintas definiciones de SM usadas en Perú y consideradas en el presente estudio, lo que puede tener repercusiones en la intensidad de las intervenciones terapéuticas y preventivas realizadas en estos pacientes.

show abstract

“…The exclusion criteria for our study were as follows: (1) the reviews and letters to the editors, (2) studies that used animal models or in vitro, (3) studies performed outside of Brazil, (4) the study population comprising individuals who were reported to have other health complications, (5) studies with incomplete information (6) or in a speci c population.…”

Section: Study Selectionmentioning

confidence: 99%

Prevalence of Metabolic Syndrome in Brazilian Adults: A Systematic Review and Meta- Analysis of Published Studies

Valadares

Souza

Júnior

et al. 2021

Preprint

View full text Add to dashboard Cite

BackgroundA cluster of interconnected cardiometabolic risk factors characterizes metabolic Syndrome (MetS). The prevalence of MetS is increasing worldwide, but there is not a meta-analysis of this prevalence in the Brazilian population. We aimed to determine the prevalence of metabolic syndrome among adult general population in Brazil through a meta‑analysis study. MethodsOriginal research studies were searched at PubMed, Scopus, Web of Science, and SciELO databases, from 2011 to 2021. We used the Joanna Briggs Institute tool to assess the quality of included studies. The random effect model was used to estimate the pooled prevalence of MetS. Subgroup and meta-regression analysis were conducted for explored heterogeneity and used the Funnel Plot to assess publication bias. The study was performed based on the criteria of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). ResultsThe search in electronic databases identified 1598 records. From this total, 26 studies were eligible to be included in the final analysis. The overall pooled prevalence among the general population of Brazil was 33% with high heterogeneity observed. By gender, the prevalences were 26% in males and 38% in females. By criteria that was used to define MetS, the prevalence were 31% in NCEP ATP III, 25% in JIS, 37% in IDF/NHLBI/AHA/WHF/IAS/IASO and 33% in IDF criteria. The prevalence in different habitat was 34% in urban, 15% in rural, 28% in quilombola and 37% in indigenous. In different regions was 37% in the South, 30% in Southeast, 38% in North, 31% in Northeast and 39% in Midwest. The pooled prevalence of MetS with age was <45 years: 43% and ≥45 years: 42% and the prevalence based on year of study implementation was 31% in 2015-2019, 35% in 2010-2014 and 28% in 2005-2009. There were no statistically significant differences between subgroups. Most of the studies showed high quality assessment criteria’s except adequate sample size criteria and many studies participants were not sampled in an appropriate way. ConclusionsOur review indicates a high prevalence of MetS in the healthy Brazilian adult population, when compared to others countries and with a world estimate.

show abstract

Prevalence of Metabolic Syndrome by different definitions, and its association with type 2 diabetes, pre-diabetes, and cardiovascular disease risk in Brazil

Cited by 56 publications

References 44 publications

Factor Analysis of Metabolic Syndrome and Its Relationship with the Risk of Cardiovascular Disease in Ethnic Populations in Rural Xinjiang, China

Factor Analysis of Metabolic Syndrome and Its Relationship with the Risk of Cardiovascular Disease in Ethnic Populations in Rural Xinjiang, China

Comparación de diferentes definiciones de síndrome metabólico y su relación con la estimación del riesgo cardiovascular

Prevalence of Metabolic Syndrome in Brazilian Adults: A Systematic Review and Meta- Analysis of Published Studies

Contact Info

Product

Resources

About