Clustering and combining pattern of metabolic syndrome components in a rural Brazilian adult population

Patterns of metabolic syndrome and associated factors in women from the ELSA-Brasil: a latent class analysis approach

This study aimed to identify patterns of metabolic syndrome among women and estimate their prevalence and relationship with sociodemographic and biological characteristics. In total, 5,836 women were evaluated using baseline data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Patterns of metabolic syndrome were defined via latent class analysis, using the following metabolic abnormalities as indicators: abdominal obesity, hyperglycemia, hypertension, hypertriglyceridemia, and reduced HDL cholesterol. The relationship between these patterns and individual characteristics was assessed using latent class analysis with covariates. Three patterns of metabolic syndrome were identified: high metabolic expression, moderate metabolic expression, and low metabolic expression. The first two patterns represented most women (53.8%) in the study. Women with complete primary or secondary education and belonging to lower social classes were more likely to have higher metabolic expression. Black and mixed-race women were more likely to have moderate metabolic expression. Menopausal women aged 50 years and older were more often classified into patterns of greater health risk. This study addressed the heterogeneous nature of metabolic syndrome, identifying three distinct profiles for the syndrome among women. The combination of abdominal obesity, hyperglycemia, and hypertension represents the main metabolic profile found among ELSA-Brasil participants. Sociodemographic and biological factors were important predictors of patterns of metabolic syndrome.

Cardiovascular risk behavior among industrial workers in the Northeast of Brazil: a cluster analysis

This research aimed to investigate the occurrence of clusters of cardiovascular risk behaviors and their association with social demographic and occupational characteristics in a population of industrial workers in the metropolitan area of Recife, Brazil. It was a transversal study with 727 workers of both genders. We identified cluster distribution from the variables: smoking, alcohol consumption, physical activity and waist circumference, by a combination of hierarchical and non-hierarchical analysis. We later tested the association with the social demographic and occupational variables with a multi-varied analysis. We have identified a protection cluster (sufficient physical activity, moderate alcohol consumption) and a risk cluster (high waist circumference, sedentarism, smoking, excessive alcohol consumption). The protection cluster was positively associated with night shift or variable shift work (RP: 1.66, IC95%: 1.26-2.17), and the risk cluster was associated with women (RP: 1.15, IC95%: 1.01-1.31). Cluster analysis allowed to identify that, for day shift workers and women, the shortest daytime outside the work environment can influence the adoption of cardiovascular risk behaviors.

Prevalence of metabolic syndrome in Brazilian adults in the last 10 years: a systematic review and meta-analysis

Background

A cluster of interconnected cardiometabolic risk factors characterizes metabolic Syndrome (MS). The prevalence of MS 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.

Methods

Original 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 MS. Subgroup and meta-regression analysis were conducted for explored heterogeneity and used the Funnel Plot and Egger’s test to assess publication bias. The study was performed based on the criteria of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA).

Results

The 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 MS, 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 MS 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.

Conclusions

Our review indicates a high prevalence of MS in the healthy Brazilian adult population, when compared to others countries and with a world estimate.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12753-5.

Gender-based differences in the clustering of metabolic syndrome factors in children and adolescents

Background We depicted gender-differences in metabolic syndrome (MS) clustering before and after puberty in pediatrics, in order to develop gender specific preventive strategies for childhood obesity. Methods We considered 1079 children and adolescents (529 females and 550 males; mean age 11.5 ± 2.8 year). According to body mass index (BMI) percentiles the subjects were classified as normal weight BMI <75th, overweight BMI 75-95th and with obesity BMI >95th. MS was diagnosed when three of the following criteria for age and sex percentiles were met: BMI >95th, triglycerides (TGs) level >95th, high-density lipoprotein-cholesterol (HDL-c) level <5th, blood pressure (blood pressure) >95th percentile, fasting blood glucose (FBG) >100 mg/dL and/or homeostatic model assessment- insulin resistance (HOMA-IR) >97.5th percentile. Results The prevalence of dismetabolic factors was similar in both genders, except for pathological BP, which was higher in males (p = 0.02). MS was detected only in patients with obesity, with a higher prevalence in pubertal than late/post-pubertal subjects (p < 0.001), without any significant difference between gender. In pre-puberty, the most common MS combination was obesity (HBMI) + hypertension (HBP) + hyperglycemia/insulin resistance (HGLY/IR) followed by HBMI + low HDL-levels (LHDL) + HGLY/IR versus HBMI + HBP + HGLY/IR followed by HBMI + HBP + LHDL, respectively, in females and males. In the early and late/post-pubertal periods, the most prevalent combination remained similar to pre-puberty, additionally in both sexes other combinations, such as HBMI + HTG + HBP + HGLY/IR, HBMI +  HBP + LHDL + HGLY/IR, HBMI + HTG + LHDL + HGLY/IR and HBMI + HTG + LHDL + HBP + HGLY/IR were also detected, differently distributed in males and females. Conclusions We confirm that MS is an important consequence related to obesity, particularly in the post-puberty stage. Some gender-based differences should be considered early in order to identify specific preventive and treatment strategies.

Application of Latent Class Analysis to Identify Metabolic Syndrome Components Patterns in adults: Tehran Lipid and Glucose study

In this study, using latent class analysis (LCA), we investigated whether there are any homogeneous subclasses of individuals exhibiting different profiles of metabolic syndrome (MetS) components. The current study was conducted within the framework of the Tehran Lipid and Glucose Study (TLGS), a population-based cohort including 6448 subjects, aged 20-50 years. We carried out a LCA on MetS components and assessed the association of some demographic and behavioral variables with membership of latent subclasses using multinomial logistic regression. Four latent classes were identified:(1) Low riskclass, with the lowest probabilities for all MetS components (its prevalence rate in men: 29%, women: 64.7%), (2) MetS with diabetes medication (men: 1%, women: 2.3%), (3) Mets without diabetes medication (men: 32%, women: 13.4%), (4) dyslipidemia (men: 38%, women: 19.6%). In men the forth subclass was more significantly associated with being smoker (odds ratio: 4.49; 95% CI: 1.89-9.97). Our study showed that subjects with MetS could be classified in sub-classes with different origins for their metabolic disorders including drug treated diabetes, those with central obesity and dyslipidemia associated with smoking.

Patterns of clustering of the metabolic syndrome components and its association with coronary heart disease in the Multi-Ethnic Study of Atherosclerosis (MESA): A latent class analysis

BACKGROUND

The Metabolic syndrome (MetS), refers to one of the most challenging public health issues across the world. The aim of this study was to explore the clusters of participants on the basis of MetS components and determine its effect on coronary heart disease (CHD).

METHODS

This study used the information from Multi-Ethnic Study of Atherosclerosis (MESA). MESA was performed at 6 US sites and was a population-based cohort study of 6776 adults (3576 females; 3200 males), aged 45 to 84 years. The participants were free of clinical cardiovascular disease at baseline. Latent class analysis (LCA) was conducted to achieve the study's objectives. The outcome variable was CHD during the study period (2000-2012).

RESULTS

The prevalence of all Mets components (except triglyceride (TG) and fasting blood glucose (FBS)) is more common in females than in males. Three latent classes were recognized: (1) Non-MetS, (2) low risk, and (3) MetS. Notably, MetS latent class included 29.88% and 35.38% in females and males, respectively. After adjustment for covariates (e.g. demographic, biomarker etc.), MetS latent class showed a positive association with CHD events in both genders.

CONCLUSIONS

Results showed that clustering pattern of the MetS components, as well as the association between latent classes and risk of incident CHD events, are different in females and males. Notable percentages of individuals are in the MetS class, which emphasizes the necessity of implementing preventive interventions for this sub-group of the population.

Arterial stiffness and its association with clustering of metabolic syndrome risk factors

BACKGROUND

Metabolic syndrome (MetS) is associated with structural and functional vascular abnormalities, which may lead to increased arterial stiffness, more frequent cardiovascular events and higher mortality. However, the role played by clustering of risk factors and the combining pattern of MetS risk factors and their association with the arterial stiffness have yet to be fully understood. Age, hypertension and diabetes mellitus seem to be strongly associated with increased pulse wave velocity (PWV). This study aimed at determining the clustering and combining pattern of MetS risk factors and their association with the arterial stiffness in non-diabetic and non-hypertensive patients.

METHODS

Recently diagnosed and untreated patients with MetS (n = 64, 49 ± 8 year, 32 ± 4 kg/m²) were selected, according to ATP III criteria and compared to a control group (Control, n = 17, 49 ± 6 year, 27 ± 2 kg/m²). Arterial stiffness was evaluated by PWV in the carotid-femoral segment. Patients were categorized and analyzed according MetS risk factors clustering (3, 4 and 5 factors) and its combinations.

RESULTS

Patients with MetS had increased PWV when compared to Control (7.8 ± 1.1 vs. 7.0 ± 0.5 m/s, p < 0.001). In multivariate analysis, the variables that remained as predictors of PWV were age (β = 0.450, p < 0.001), systolic blood pressure (β = 0.211, p = 0.023) and triglycerides (β = 0.212, p = 0.037). The increased number of risk factors reflected in a progressive increase in PWV. When adjusted to systolic blood pressure, PWV was greater in the group with 5 risk factors when compared to the group with 3 risk factors and Control (8.5 ± 0.4 vs. 7.5 ± 0.2, p = 0.011 and 7.2 ± 0.3 m/s, p = 0.012). Similarly, the 4 risk factors group had higher PWV than the Control (7.9 ± 0.2 vs. 7.2 ± 0.3, p = 0.047).

CONCLUSIONS

The number of risk factors seems to increase arterial stiffness. Notably, besides age and increased systolic blood pressure, alterations in the triglycerides worsened the stiffness of large vessels, emphasizing the importance in addressing this risk factor in MetS patients.

Differentiation of obese patients at moderate or higher Findrisc score based on their atherogenic index

OBJECTIVES

The purpose of this study was to reveal different subgroups of patients with at least moderate risk of developing diabetes in the next 10 years, based on clustering of cardiovascular risk factors.

METHODS

We performed a one-center cross-sectional study of adult patients (n = 109, median age 45 years) with Findrisc score of above 11 out of 26 maximum. We included in the cluster analysis anthropometrics, lipid and carbohydrate parameters obtained in oral glucose tolerance test (OGTT), insulin, C-peptide, creatinine, C-reactive protein, liver enzymes, beta-cell function, insulin sensitivity and insulin resistance (HOMA calculations). We also evaluated the atherogenic index of plasma (AIP).

RESULTS

We identified three metabolic phenotypes of patients with at least moderate Findrisc score-one 'male' (cluster AM, n = 24), and two 'female' phenotypes (cluster AW, n = 9 and cluster BW, n = 76). Men were almost homogenous for their metabolic phenotype, with lower fat percentage than women (p < .05). Most of the women (cluster BW, n = 76) presented with better metabolic pattern i.e. lower insulin resistance, lower C-reactive protein, lower degree of obesity and visceral fat rating (p < .05), despite the higher fat percentage (p < .05). Some of the women, however, (cluster AW, n = 9) presented with parameters very similar to that of men (cluster AM) and significantly higher than in cluster BW. Despite the lack of significant differences in lipid parameters among clusters, AIP was significantly lower in cluster BW (p < .05).

CONCLUSION

Most of the women presented with clearly less unfavorable atherogenic risk than men. Two different phenotypes of obese women with at least moderate Findrisc score were revealed, and the level of inflammation seems to be the main discriminant factor. Larger prospective studies are required to elucidate whether those are really two different pathogenically phenotypes or if they belong to the same phenotype's continuum.