Risk Of MetS Research Articles

Influence of dietary cholesterol on metabolic syndrome risk in middle-aged Korean adults: using the Korean Genome and Epidemiology Study (KoGES)

BackgroundThe association between dietary cholesterol and metabolic diseases remains controversial. However, the majority of studies focus on egg intake, and there is a limitation in the availability of prospective cohort studies. Our study examined the association between dietary cholesterol and the incidence risk of metabolic syndrome (MetS) in middle aged adults using large prospective cohort study in Republic of Korea.MethodsThe Health Examinees cohort from the Korean Genome and Epidemiology Study was used from baseline to follow-up. Dietary cholesterol intake was assessed by the validated semi-quantitative food frequency questionnaire. Participants were classified as quintile groups according to adjusted dietary cholesterol for total energy intake. MetS was defined as more than 3 of the 5 components of MetS. Hazard ratio (HR) and 95% confidence intervals (CI) for MetS were evaluated by multivariable cox regression analyses.ResultsOf the total 40,578 participants, metabolic syndrome developed in 4,172 (10.28%) individuals during an average follow-up period of approximately 4.76 years. Dietary cholesterol did not exhibit a significant association with the risk of MetS after adjusting for potential confounding factors, but a trend was observed indicating an increased risk with higher intake (p for trend = 0.044). Among the components of MetS, the incidence risk of high waist circumference (HR: 1.164, 95% CI: 1.049–1.290), high blood pressure (HR: 1.188, 95% CI: 1.075–1.313), high serum triglyceride (HR: 1.132, 95% CI: 1.044–1.227) and high fasting blood glucose (HR: 1.217, 95% CI: 1.132–1.308) in the group that consumed the highest dietary cholesterol intake was increased compared with the group that consumed the lowest dietary cholesterol intake. Dose-response relationship suggested a positive linear association between dietary cholesterol intake and the risk of high waist circumference (p-linearity = 0.004), blood pressure (p-linearity = 0.012), and triglycerides (p-linearity = 0.005).ConclusionThis study suggests a positive association between dietary cholesterol intake and the risk of MetS and its components (abdominal obesity, hypertension, hypertriglyceridemia, and hyperglycemia) in middle-aged Korean adults.

Plasma atherogenicity index is a powerful indicator for identifying metabolic syndrome in adults with type 2 diabetes mellitus: A cross-sectional study.

Metabolic syndrome (MetS) is an important risk factor for atherosclerotic cardiovascular disease (ASCVD). Elevated triglyceride (TG) levels and decreased high-density lipoprotein levels (HDL-C) are predisposing factors for the development of ASCVD. Evidence on the association between atherosclerotic index of plasma [AIP = log (TG/HDL-C)] and MetS is limited. Our study aimed to investigate the association between AIP and MetS. This is a cross-sectional study that determines the presence of MetS by assessing anthropometric and biochemical parameters. Multivariate log-binomial regression models were used to analyze the relationship between AIP and MetS risk. To further test the stability of the results, we performed sensitivity analyses in young, non-obese, and normal lipid population. Smoothing plots explored the potential nonlinear relationship between the AIP index for MetS and the estimated potential risk threshold. Predictive power of AIP for MetS using respondent operating characteristic (ROC) curves. The prevalence of MetS was 67.35%. Multivariate logistic regression analysis showed an independent and positive association between AIP and MetS (Per 1 SD increase, PR = 1.31, 95% CI: 1.15-1.47). Sensitivity analysis demonstrated the stability of the results. Smoothing plot showed a nonlinear relationship between AIP and MetS, with an inflection point of 0.66. ROC curve analysis, AIP was an accurate indicator for assessing MetS in type 2 diabetics (AUC = 0.840, 95% CI: 0.819-0.862). AIP is a stable and independently powerful predictor of MetS in T2DM patients. AIP can be used as a simple assessment tool for the early detection of MetS and disease management for the prevention of cardiovascular disease.

Association between Remnant Cholesterol and Metabolic Syndrome among Chinese Adults: Chinese Nutrition and Health Surveillance (2015-2017).

Remnant cholesterol (RC) is highly associated with several chronic diseases. However, the relationship between RC and Metabolic syndrome (MetS) remains unclear. The study's objective is to illustrate the relationship of RC to MetS. The data were collected from the Chinese Nutrition and Health Surveillance (2015-2017), which included personal, household and dietary information. A total of 65,618 residents aged 20 years or older from 31 provinces in mainland China were included in this study. RC was calculated by the equation RC = TC - (LDL-C + HDL-C). The criteria for MetS were based on the 2020 Chinese Type 2 Diabetes Prevention and Treatment Guidelines. Logistic regression models were used to analyse the relationship between RC and MetS and every MetS component. The receiver operating characteristic (ROC) curve was established to evaluate the accuracy of RC in identifying MetS, and the area under the curve (AUC) and the best threshold were calculated. The weighted RC level of Chinese residents aged 20 years or older was 0.48 mmol/L. Participants with high RC levels were likely to be elderly, have a higher prevalence of MetS, higher total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), hba1c, and lower high-density lipoprotein cholesterol (HDL-C). Sex, body mass index (BMI), education status, household yearly income per capita, marital status, area of the country, residence location, smoking status, fruit intake and sleep time had statistical differences in the RC group (p < 0.05). The OR of MetS gradually increased with an increase in the RC quartile (p < 0.01), and higher quartiles of RC (Q4) suggested the highest MetS risk. The prevalence of each MetS component gradually increased with an increase in the RC quartile. The ROC curve found that to identify MetS, the AUC and best threshold of RC were 0.71 and 0.52 mmol/L, respectively. RC had a positive association with MetS and each MetS component. The accuracy in identifying MetS was higher in RC than in other indexes. The current study could provide new scientific evidence for the early prevention and control of MetS.

Dietary intake and risk of metabolic syndrome in long-term survivors of pediatric allogeneic hematopoietic stem cell transplantation.

We explored the dietary intake and metabolic syndrome (MetS) in 85 survivors of pediatric stem cell transplantation (median age 30 years, median follow-up time 20 years). Overall, the distribution of fatty acid deviated from the recommendations with a higher intake of saturated fat and a lower intake of unsaturated fat but was comparable to that of the background population. The prevalence of MetS was 27%, corresponding to that of the elderly background population. We compared the intake of macronutrients between those with MetS and those without MetS and found that overall fat intake was higher in patients with MetS (36.7E% [range, 27.2-51.2E%] vs. 33,5E% (range, 23.4-45.1E%), P = 0.016). Within the subgroup of patients treated with total body irradiation (TBI), we found a higher fat intake in those with MetS (36.8E% (range, 27.2-51.2E%) versus 32.0E% (range, 24.6-42.1E%), P = 0.013). This was confirmed in a multivariate analysis adjusted for TBI, sex, and age at follow-up (OR 1.20 (1.06-1.39), P = 0.008). Our findings suggest that conditioning with the use of TBI may induce a state of hypersensitivity to the potentially harmful effects of fat in the diet and suggest that this risk of MetS after TBI treatment may be modifiable by dietary changes.

Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identification

Body shape expressed as the trunk-to-leg volume ratio is associated with diabetes and mortality due to the associations between higher adiposity and lower lean mass with Metabolic Syndrome (MetS) risk. Reduced appendicular muscle mass is associated with malnutrition risk and age-related frailty, and is a risk factor for poor treatment outcomes related to MetS and other clinical conditions (e.g.; cancer). These measures are traditionally assessed by dual-energy X-ray absorptiometry (DXA), which can be difficult to access in clinical settings. The Shape Up! Adults trial (SUA) demonstrated the accuracy and precision of 3-dimensional optical imaging (3DO) for body composition as compared to DXA and other criterion measures. Here we assessed whether trunk-to-leg volume estimates derived from 3DO are associated with MetS risk in a similar way as when measured by DXA. We further explored if estimations of appendicular lean mass (ALM) could be made using 3DO to further improve the accessibility of measuring this important frailty and disease risk factor. SUA recruited participants across sex, age (18-40, 40-60, >60 years), BMI (under, normal, overweight, obese), and race/ethnicity (non-Hispanic [NH] Black, NH White, Hispanic, Asian, Native Hawaiian/Pacific Islander) categories. Each participant had whole-body DXA and 3DO scans, and measures of cardiovascular health. The 3DO measures of trunk and leg volumes were calibrated to DXA to express equivalent trunk-to-leg volume ratios. We expressed each blood measure and overall MetS risk in quartile gradations of trunk-to-leg volume previously defined by National Health and Nutrition Examination Survey (NHANES). Finally, we utilized 3DO measures to estimate DXA ALM using ten-fold cross-validation of the entire dataset. Participants were 502 (273 female) adults, mean age=46.0±16.5y, BMI=27.6±7.1kg/m2 and a mean DXA trunk-to-leg volume ratio of 1.47±0.22 (females: 1.43±0.23; males: 1.52±0.20). After adjustments for age and sex, each standard deviation increase in trunk-to-leg volume by 3DO was associated with a 3.3 (95% odds ratio [OR]=2.4-4.2) times greater risk of MetS, with individuals in the highest quartile of trunk-to-leg at 27.4 (95% CI: 9.0-53.1) times greater risk of MetS compared to the lowest quartile. Risks of elevated blood biomarkers as related to high 3DO trunk-to-leg volume ratios were similar to previously published comparisons using DXA trunk-to-leg volume ratios. Estimated ALM by 3DO was correlated to DXA (r2=0.96, root mean square error=1.5kg) using ten-fold cross-validation. Using thresholds of trunk-to-leg associated with MetS developed on a sample of US-representative adults, trunk-to-leg ratio by 3DO after adjustments for offsets showed significant associations to blood parameters and MetS risk. 3DO scans provide a precise and accurate estimation of ALM across the range of body sizes included in the study sample. The development of these additional measures improves the clinical utility of 3DO for the assessment of MetS risk as well as the identification of low muscle mass associated with poor cardiometabolic and functional health.

Metabolic Syndrome and Its Component Factors Among Corporate Company Employees in Kampala Uganda.

Metabolic syndrome (MetS), a cluster of metabolic dysregulations indicative of increased cardiometabolic risk is on the rise in Sub-Saharan Africa. The study aimed to determine the prevalence of MetS and its components, among corporate employees in Kampala, Uganda. A cross-sectional survey was undertaken among 408 adults who were employees from seven corporate companies in Kampala, using the WHO STEPwise NCD screening approach. Metabolic syndrome was measured using the National Cholesterol Education Program Adult Treatment Panel (ATPIII) and the International Diabetes Federation (IDF) criteria with the waist circumference (WC) cut-off points adapted for Sub-Saharan African populations. The mean population age (standard deviation [SD]) of the respondents was 34years (± 8.87) years and 52% of them were females. The prevalence of MetS was 22.8% (NCEP ATPIII) and 28.4% (IDF). Of the respondents who did not have MetS, 75% had at least one metabolic dysregulation. Of those respondents with MetS, only 31% perceived that they were at risk of this cluster of metabolic dysregulations. In this analysis, we observed that the systolic blood pressure (BP) and the body mass index (BMI) correlated strongly (r = 0.81 and r = 0.71) with the diastolic BP and waist circumference (WC), respectively. Age on the other hand correlated fairly with the WC and BMI (both r values = 0.46). Principal component analysis showed that the greatest loadings in principle factors one, two and three were from central obesity, with low HDL-C explaining 60.8% variance in the population. Age, BMI, family history of having cardiometabolic disorders, and perceived cardiometabolic disease risk (CMR) were associated with an increased risk of MetS by 5, 8.86, 1.55, and 2.73 (all P values were < 0.05) respectively in this group of respondents. These risks remained for age, BMI and perceived CMR after removing the confounding effects of education status, marital status and family history of cardiometabolic disease. Being single on the other hand, was associated with a reduced risk of MetS (0.23, p < 0.009). While the primary contributors to the high prevalence of MetS among corporate employees in Kampala, Uganda were the high BP, high WC and high fasting blood sugar (FBS); age, BMI and perceived CMR were the key determinants of MetS. Future MetS interventions should aim to control and monitor obesity indicators in this population. Additionally, the findings inform targeted screening parameters for cardiometabolic risk assessment and suggest the need for further research into a weighted algorithm for MetS in this population.

Increased serum carboxylesterase-1 levels are associated with metabolic dysfunction associated steatotic liver disease and metabolic syndrome in children with obesity

BackgroundCarboxylesterase 1(CES1) is expressed mainly in the liver and adipose tissue and is highly hypothesized to play an essential role in metabolism. Our study aimed to investigate the association between CES1 and metabolic syndrome (MetS) and metabolic dysfunction associated steatotic liver disease (MASLD) in children with obesity in China.MethodsThis study included 72 children with obesity aged 6-13years (including 25(35%) diagnosed as MetS and 36(50%) diagnosed as MASLD). All subjects were measured in anthropometry, serum level of biochemical parameters related to obesity, circumstance levels of insulin-like growth factor1, adipokines (adiponectin, leptin and growth differentiation factor 15) and CES1.ResultsHigher serum CES1 level were found in the MetS group (P = 0.004) and the MASLD group (P < 0.001) of children with obesity. Serum CES1 levels were positively correlated with alanine aminotransferase, aspartate aminotransferase, triglyceride, cholesterol, low-density lipoprotein cholesterol, GDF15, Leptin and negatively correlated with high-density lipoprotein cholesterol, adiponectin and IGF1. We also found a multivariable logistic regression analysis of MASLD and MetS predicted by CES1 significantly (MASLD P < 0.01, MetS P < 0.05). The combination of CES1, sex, age and BMI Z-score showed a sensitivity and specificity of 92.7% for the identification of MASLD and 78.6% for the identification of MetS. The cutoff for CES1 of MASLD is 56.30 ng/mL and of MetS is 97.79 ng/mL.ConclusionsCES1 is associated with an increasing risk of MetS and MASLD and can be established as a biomarker for metabolic syndrome and MASLD of children with obesity.

Associations of multiple serum metals with the risk of metabolic syndrome among the older population in China based on a community study: A mediation role of peripheral blood cells

Metal exposure has been reported to be associated with metabolic syndrome (MetS), however, the evidence remains inconclusive, particularly in elderly individuals. From May to July 2016, serum levels of 16 metals were measured using inductively coupled plasma mass spectrometry (ICP-MS) in 852 elderly individuals (≥65 years) residing in Wuhan, China. Biological detection and disease recognition were based on individual surveys conducted during health check-ups. Spearman’s rank correlation analysis was performed to identify the correlation among serum metals. The data were Ln-transformed to fit a normal distribution for further analyses. Linear and logistic regression were applied to explore the associations between metals and diseases. Restricted cubic spline (RCS) analysis was utilized to examine dose-response relationships. The Weighted Quantile Sum (WQS) score was applied to determine the empirical weights of each heavy metal in the context of their combined effect on metabolic diseases. The prevalence of MetS, hypertension, diabetes, and hyperlipidemia were 46.36 %, 68.90 %, 24.65 %, and 21.60 %, respectively. Serum metal mixture was positively associated with the prevalence of MetS (OR = 1.92, 95 % CI: 1.30–2.82), hypertension (OR = 1.50, 95 % CI: 1.01–2.23), and diabetes (OR = 2.18, 95 % CI: 1.48–3.22). In single metal models, we found that serum zinc levels were associated with an increased risk of MetS, while rubidium had a protective effect against MetS. Interestingly, different metals had distinct effects on specific diseases in this study: lithium and barium were more likely to influence blood pressure, while selenium had a more significant effect on blood glucose. Lipids were more susceptible to the effects of zinc, selenium, and strontium. Platelet count (PLT) and lymphocyte count (LYM) mediated the association between selenium exposure and hyperlipidemia, while neutrophil count (NEU) mediated the relationship between serum rubidium exposure and MetS. Our findings offer valuable etiological insights into the relationship between serum heavy metals and the prevalence of MetS, suggesting that peripheral blood cells may play a mediating role in this association.

Association of rs2241766 and rs1501299 polymorphisms in the adiponectin gene with metabolic syndrome.

To investigate the influence of adiponectin (APN) rs2241766 and rs1501299 polymorphisms on adiponectin levels and their association with metabolic syndrome (MetS). Analyzed two polymorphisms (rs2241766 and rs1501299) of the adiponectin gene (ADIPOQ) in 210 MetS patients and 102 control patients using the polymerase chain reaction-restriction fragment length polymorphism method and DNA sequencing technology. The genotypes of the rs2241766 T/G and rs1501299 G/T polymorphism were significantly associated with serum APN levels in MetS patients. The ADIPOQ polymorphisms were associated with a risk of MetS when compared with that in healthy controls. TG and GG genotypes of rs2241766 were associated with a significantly elevated risk of MetS as compared with the TT genotype (OR = 1.32 and OR = 2.53). Subjects with the G allele appeared to have higher susceptibility to MetS than those with the T allele (OR = 2.21). In common with the findings for rs2241766, the rs1501299 GT and TT genotypes were associated with a significantly increased risk of MetS as compared with the GG genotype (OR = 1.51 and OR = 2.24). The susceptibility to MetS appeared to be higher in subjects with the T allele than in those with the G allele (OR = 1.88). The occurrence of MetS may be associated with genetic variations at the rs2241766 and rs1501299 loci, especially in individuals with T to G mutations (rs2241766) and G to T mutations (rs1501299). These mutations may lead to decreased APN levels and a higher risk of developing MetS.

Association of the VEGF 2578C>A Polymorphism With Metabolic Syndrome and Erectile Dysfunction.

Accumulating evidence suggests a link between vascular endothelial growth factor (VEGF), erectile dysfunction (ED), and metabolic syndrome (Mets), possibly because VEGF can alter the physiological pathways involved in the regulation of endothelial cell proliferation. This study aimed to investigate the genetic susceptibility of VEGF 2578C>A polymorphism to the development of ED and Mets. Collected data included five-item International Index of Erectile Function (IIEF-5), components of Mets, and VEGF 2578C>A polymorphism. A total of 596 subjects from Kaohsiung with a mean age of 55.5 years were enrolled, data collection was done at our hospital. Individuals carrying the VEGF 2578 A allele (CA+AA genotypes) demonstrated a higher prevalence of ED compared to those with the CC genotype, with an adjusted odds ratio (OR) of 1.582 (95% confidence interval [95% CI] = 1.123-2.227, p value = 0.009) in multivariate binary regression analysis. Similarly, individuals carrying the VEGF 2578 A allele showed a higher prevalence of Mets compared to those with the CC genotype, with an adjusted OR of 2.461 (95% CI = 1.491-4.064, p value < 0.001). Furthermore, A allele carriers had significantly lower IIEF-5 scores and a higher number of Mets components compared to those with the C allele (P value < 0.001, respectively). In conclusion, VEGF 2578 A allele carriers are at a greater risk of both Mets and ED, suggesting that the VEGF 2578C>A polymorphism may serve as a common genetic susceptibility factor in the development of both disorders. Further research is warranted to evaluate the mechanisms underlying this association.

Sugar-sweetened beverages, low/no-calorie beverages, fruit juices intake and risks of metabolic syndrome in adults: The SWEET project

Background and aimsMetabolic syndrome (MetS) is an important determinant of cardiometabolic disease development, with excessive sugar intake as one of the key modifiable risk factors. However, evidence on the association between sugar-sweetened beverages (SSB), their replacement by low/no caloric beverages (LNCB), and MetS development is still limited. Methods and resultsData from participants’ of Lifelines (n = 58 220), NQPlus (n = 1094) and Feel4Diabetes (n = 342) were prospectively analysed. Dose-response associations were investigated using restricted cubic spline analyses (Lifelines). Cox proportional hazard regression analysis with robust variance was used to quantify associations between intakes of SSB, fruit juices (FJ) and LNCB and MetS incidence; data were pooled using random-effects models. Associations were adjusted for demographic, lifestyle and other dietary factors. In Lifelines, NQPlus, and Feel4Diabetes, 3853 (7 %), 47 (4 %), and 39 (11 %) participants developed MetS, respectively. Pooled analyses showed that each additional serving of SSB was associated with a 6 % higher risk of MetS (95%CI 1.02–1.10). A J-shaped association was observed for FJ and MetS, with a significant inverse association at moderate intake levels (IPR 0.89, 95 % CI 0.82–0.96). LNCB intake was not associated with MetS (IPR 1.59, 95%CI 0.74–2.43), but findings across studies were inconsistent (I2 94 %, p-value <0.01). Replacing SSB with FJ or LNCB did not show any associations with MetS incidence. ConclusionSSB intake was adversely associated with MetS incidence. A J-shaped association was observed between FJ and MetS. For LNCB, results were inconsistent across studies and therefore findings must be interpreted cautiously.

Together we win! Narratives of couples pursuing a healthy diet and physical activity: A qualitative study.

Metabolic syndrome (MetS) is a major risk factor for non-communicable diseases, including type 2 diabetes mellitus, cardiovascular disease, and cancer. The risk of MetS can be transmitted via epigenetic processes from both the mother and the father. Therefore, it is essential that both members of a couple are targeted in pre-conception nutrition and physical activity-based lifestyle programs. However, lifestyle interventions targeting both members of a couple are scarce in the literature. This study, therefore, aimed to explore the barriers and facilitators of a couples-based lifestyle intervention. Nulliparous couples who had an interest in having children in the future were recruited to the study and each member interviewed separately to gain insight into to gain insight into designing future couples-based lifestyle interventions. Interviews were conducted between June and October 2021. Reflexive thematic analysis (RTA) was applied to conduct and analyse semi-structured, in-depth interviews with nulliparous couples who had an interest in having children in the future. Four major themes were identified in nine couples aged 25-34 years (here referred to as "millennials"): Millennials are committed to preparation for their future offspring; millennials know features of a good program likely to have high adherence and long-term behavior change; millennials acknowledge the importance of couples-based programs; and millennials appreciate that future global emergencies may require lifestyle modifications. This study found that millennial couples showed a strong intention to create optimal emotional, financial, and health conditions for their children. They supported couples-based approach (CBA) lifestyle interventions to mitigate potential epigenetic risks. Couples believed that participating together in these programs would enhance adherence to healthy habits, promoting long-term well-being. The findings advocate for exploring and testing CBA interventions that target both partners, as joint participation not only aids in healthy conception and reduces metabolic syndrome risks but also establishes a foundation for family health. These insights highlight the potential of CBA interventions to positively impact future generations.

Iron Homeostasis-Related Parameters and Hepcidin/Ferritin Ratio: Emerging Sex-Specific Predictive Markers for Metabolic Syndrome.

Metabolic syndrome (MetS) is a worldwide public health challenge. Accumulating evidence implicates elevated serum ferritin and disruptions in iron metabolism as potential elements linked to an increased risk of MetS. This study investigates the relationship between iron homeostasis-including hepcidin levels, serum iron concentration, unsaturated iron-binding capacity (UIBC), and the hepcidin/ferritin (H/F) ratio-and MetS. In this descriptive cross-sectional study, 209 participants aged 24-70 were categorized into two groups: 103 with MetS and 106 without MetS. All participants underwent medical assessment, including anthropometric measures, indices of glycemic control, lipid profiles, and iron-related parameters. Participants were further stratified by the Homeostasis Model Assessment-Insulin Resistance index into three subgroups: insulin-sensitive (IS) (<1.9), early insulin resistance (EIR) (>1.9 to <2.9), and significant insulin resistance (SIR) (>2.9). Notable increments in serum ferritin and hepcidin were observed in the SIR group relative to the IS and EIR groups, with a significant association between metabolic parameters. The UIBC and serum ferritin emerged as significant predictors of MetS, particularly in men, with an area under the curve (AUC) of 0.753 and 0.792, respectively (p ≤ 0.001). In contrast, hepcidin was notably correlated with MetS in women, with an AUC of 0.655 (p = 0.007). The H/F ratio showed superior predictive capability for MetS across both sexes (at cutoff level = 0.67). Among women, this ratio had an AUC of 0.639 (p = 0.015), and for men, it had an AUC of 0.792 (p < 0.001). Hypertension proved an independent risk factor for MetS, affirming its role in metabolic dysregulation. The findings highlight a significant interconnection between iron homeostasis parameters and MetS, with sex-specific variations underscoring the importance of personalized diagnostic criteria. The crucial role of the H/F ratio and the UIBC as emerging predictive markers for MetS indicates their potential utility in identifying at-risk individuals. Further longitudinal research is essential to establish causality and explore the interplay between these biomarkers and MetS.

Predictive modelling of metabolic syndrome in Ghanaian diabetic patients: an ensemble machine learning approach

Abstract Objectives The burgeoning prevalence of cardiometabolic disorders, including type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) within Africa is concerning. Machine learning (ML) techniques offer a unique opportunity to leverage data-driven insights and construct predictive models for MetS risk, thereby enhancing the implementation of personalised prevention strategies. In this work, we employed ML techniques to develop predictive models for pre-MetS and MetS among diabetic patients. Methods This multi-centre cross-sectional study comprised of 919 T2DM patients. Age, gender, novel anthropometric indices along with biochemical measures were analysed using BORUTA feature selection and an ensemble majority voting classification model, which included logistic regression, k-nearest neighbour, Gaussian Naive Bayes, Gradient boosting classification, and support vector machine. Results Distinct metabolic profiles and phenotype clusters were associated with MetS progression. The BORUTA algorithm identified 10 and 16 significant features for pre-MetS and MetS prediction, respectively. For pre-MetS, the top-ranked features were lipid accumulation product (LAP), triglyceride-glucose index adjusted for waist-to-height ratio (TyG-WHtR), coronary risk (CR), visceral adiposity index (VAI) and abdominal volume index (AVI). For MetS prediction, the most influential features were VAI, LAP, waist triglyceride index (WTI), Very low-density cholesterol (VLDLC) and TyG-WHtR. Majority voting ensemble classifier demonstrated superior performance in predicting pre-MetS (AUC = 0.79) and MetS (AUC = 0.87). Conclusion Identifying these risk factors reveals the complex interplay between visceral adiposity and metabolic dysregulation in African populations, enabling early detection and treatment. Ethical integration of ML algorithms in clinical decision-making can streamline identification of high-risk individuals, optimize resource allocation, and enable precise, tailored interventions.

Investigation of the relationship between atherogenic index, anthropometric characteristics, and 10-year risk of metabolic syndrome: a population-based study.

People with metabolic syndrome (MetS) are at a higher risk of coronary artery disease, diabetes mellitus, stroke, osteoarthritis, and some types of cancers. Finding markers which are available and inexpensive are most useful for the prediction of MetS. The present study aimed to determine the relationship between atherogenic index and anthropometric indicators and the 10-year risk of MetS. During the 10-year follow-up on Mashhad stroke and heart atherosclerotic disorder (MASHAD study), 4684 subjects who did not MetS at baseline were recruited in this study. The anthropometric indices and atherogenic index including atherogenic index of plasma (AIP), Castelli's risk index I and II (CRI-I, CRI-I), and atherogenic coefficient (AC) were measured. SPSS-23 was used for all statistical analyses. Among subjects who did not have MetS at baseline 1599 cases (34.1%) developed MetS. The anthropometric and lipid indices were significantly elevated in patients with MetS compared to the healthy ones (p < 0.001). It was revealed that an increase of one unit in AIP and AC can raise the risk of MetS 22.7% (OR: 1.227 (95% CI, 1.166-1.291)) and 37.7% (OR: 1.377 (95% CI, 1.291-1.468)), respectively. Moreover, increasing one unit of WHtR decreases the risk of MetS by 8.5% (OR: 0.915 (95% CI, 0.886-0.946)). The results of this longitudinal study showed that increasing AC and AIP could enhance the risk of MetS. The present study also indicated that AC and AIP are useful predictors in the clinical setting for identifying individuals with MetS in the Iranian adult population.

Perfluoroalkyl substances and metabolic syndrome: A cross-sectional study using data from the US national health and nutrition examination survey

BackgroundEpidemiological studies linking metabolic syndrome (MetS) and exposure to perfluoroalkyl substances (PFASs) are limited, and the observations gleaned thus far are inconclusive. The study was performed to explore the association of serum PFASs both singly and in a mixed manner with MetS, and meanwhile to examine whether this association was mediated by serum albumin in a US national population. MethodsTotal 8108 participants from the National Health and Nutrition Examination Survey, 2007–2018 were included. Four PFASs - including perfluorohexane sulfonic acid (PFHxS), perfluorononanoic acid (PFNA), perfluoromethylheptane sulfonic acid (PFOS), and perfluorooctanoic acid (PFOA), were selected. Weighted quantile sum regression was used to evaluate mixed PFAS exposure and MetS. Multivariable logistic regression models were used to calculate odd ratio (OR) and 95 % confidence interval (95 % CI). Mediating analyses were used to evaluate the mediating effects of albumin. ResultsComparing the highest with lowest quartile yielded a multivariable-adjusted OR (95 % CI) of 1.40 (1.14–1.72) for PFHxS, 1.36 (1.09–1.70) for PFNA, 1.26 (1.00–1.58) for PFOA, and 1.50 (1.19–1.88) for PFOS when associating MetS. Per unit increment in ln-transformed PFHxS, PFNA, PFOA, and PFOS concentrations was significantly associated with 16 %, 17 %, 13 %, and 15 % increased risk of MetS, respectively. When stratified by sex, the significant association between four PFASs and MetS was only noted in females. Mixed PFAS exposure was inversely associated with MetS, and 8.1 % of this association was mediated by serum albumin (P < 0.001). ConclusionsOur findings indicate a significant and independent association of serum PFASs with MetS, and importantly this association was dose-dependent, sex-specific, and possibly mediated by serum albumin.

Prevalence of metabolic syndrome patıents with systemic sclerosis

Objective: To determine the prevalence of metabolic syndrome (MetS) in Turkish systemic sclerosis (SSc) patients. Materials and Methods: In this cross-sectional, single-centre study, 76 SSc patients admitted to the outpatient clinic of our tertiary care hospital between July and September 2021 were included. The National Cholesterol Education Programme's Adult Treatment Panel (NCEP-ATP III) criteria were used to define metabolic syndrome (MetS). The relationship between MetS and SSc organ involvement and disease characteristics was investigated. Results: According to the ATP III criteria, 37 cases (48.7%) were identified as having MetS. The prevalance of MetS increased with advancing age (40-45 years: 25%, 46-60 years: 48.4%, &amp;gt;60 years: 62.9%). The cases were divided into two groups according to the presence or absence of MetS. Patients with MetS had higher mean age (58.2±9.4 vs. 51.6±13.5, p=0.015) and lower modified Rodnan skin scores (14 vs. 22, p=0.019). The groups were comparable regarding disease subtype, duration and activity, organs/systems involved and disease-related damage. Conclusion: Although the prevalence of MetS in SSc patients in our study was higher than that observed in the general population of our country, the prevalence of MetS did not increase when compared to the similar age group. MetS was thought to be related to age and gender predominance rather than the disease itself. Although mRSS was found to be significantly lower in patients with MetS, its sensitivity to predict MetS was found to be low. Nevertheless, our data suggest that the risk of MetS should be considered in SSc patients.

Sex difference in the association between creatinine-to-cystatin C ratio and metabolic syndrome among Chinese adults.

Metabolic syndrome (MetS), characterized by central obesity, insulin resistance, dyslipidemia, and hypertension, affects 20-25% of the global population. The creatinine-to-cystatin C ratio (CCR) is an indicator of skeletal muscle mass. While CCR may play a role in MetS development, sex differences in these associations are not fully understood. Therefore, this study aimed to investigate how CCR levels are associated with MetS in a Chinese adult population, focusing on possible sex disparities. We conducted a retrospective cross-sectional analysis of 9,376 adults from Xiamen Chang Gung Hospital between 2014 to 2016. We examined the relationship between CCR and MetS, adjusting for cardiometabolic risk factors. The prevalence of MetS was 24.7% in males and 18.0% in females. Interestingly, we observed significant sex differences in the association between CCR quartiles and MetS. Females in the lowest CCR quartile had a significantly higher risk of MetS (odds ratio=1.84). Receiver operating characteristic curve analysis revealed acceptable diagnostic power of CCR for MetS in females (area under the curve=0.65) but not in males. Our findings suggest that CCR is an independent risk factor for MetS in females, highlighting the importance of sex-specific assessments when evaluating MetS risk.

Movement- and Posture-based Measures of Sedentary Patterns and Associations with Metabolic Syndrome in Hispanic/Latino and non-Hispanic Adults.

Sedentary behavior has been identified as a significant risk factor for Metabolic Syndrome (MetS). However, it is unclear if the sedentary pattern measurement approach (posture vs. movement) impacts observed associations or if associations differ for Hispanic/Latino communities, who have higher risk of MetS. Participants from the Community of Mine (CoM) study (N = 602) wore hip-based accelerometers for 14days and completed MetS-associated biomarker assessment (triglycerides, blood pressure, fasting glucose, HDL cholesterol, waist circumference). Sedentary patterns were classified using both cutpoints (movement-based) and the Convolutional Neural Network Hip Accelerometer Posture (CHAP) algorithm (posture-based). We used logistic regression to estimate associations between MetS with sedentary patterns overall and stratified by Hispanic/Latino ethnicity. CHAP and cutpoint sedentary patterns were consistently associated with MetS. When controlling for total sedentary time and moderate to vigorous physical activity, only CHAP-measured median sedentary bout duration (OR = 1.15, CI: 1.04, 1.28) was significant. In stratified analysis, CHAP-measured median bout duration and time spent in sedentary bouts ≥ 30min were each associated with increased odds of MetS, but the respective associations were stronger for Hispanic/Latino ethnicity (OR = 1.71 and 1.48; CI = 1.28-2.31 and 1.12-1.98) than for non-Hispanic/Latino ethnicity (OR = 1.43 and 1.40; CI = 1.10-1.87 and 1.06-1.87). The way sedentary patterns are measured can impact the strength and precision of associations with MetS. These differences may be larger in Hispanic/Latino ethnic groups and warrants further research to inform sedentary behavioral interventions in these populations.

Age at Menarche and Its Association With Adult-Onset Metabolic Syndrome and Related Disorders in Women: A Cross-Sectional Study of a Nationally Representative Sample Over 10 Years.

The prevalence of metabolic syndrome (MetS) as well as related social costs and efforts is increasing. The purpose of this study was to investigate the association between age at menarche and the risk of MetS, obesity, diabetes, and cardiovascular disease (CVD) in women over 30 years, using data from the Korean National Health and Nutrition Examination Survey (2010-2020). The analysis of 30 916 participants showed that early menarche (before 11 years) significantly increased the risk of obesity, diabetes, and MetS compared with the median age of 14 years. Late menarche (after 17 years) was also linked to MetS and related disorders. The relationship between age at menarche (at <10 years and >19 years) and the risk of MetS and related disorders exhibited a reversed J-shaped (し) pattern characterized by a pronounced increased risk among those who experience early menarche, whereas the increased risk associated with late menarche was less consistent. These results will help to decrease the risk of MetS and related disorders by enabling early intervention in early and late menarche age groups.