Indicators Of Metabolic Syndrome Research Articles

Can adiposity measures enhance the predictive power of the triglyceride-glucose index for metabolic syndrome in adults in the United States?

Insulin resistance is a hallmark feature of metabolic syndrome (MetSyn). The triglyceride-glucose (TyG) index is considered a reliable surrogate measure of insulin resistance. However, the efficacy of the TyG-index combined with adiposity measures for identifying MetSyn in U.S. adults is unknown. In the present cross-sectional study, 2746 men and women from the 2017-2020 National Health and Nutrition Examination Survey (NHANES) with physical and laboratory characteristics were included. Predictive powers (estimated by the area under the curve of receiver operating characteristic [ROC-AUC]) of TyG-index combined with adiposity for MetSyn were compared with other traditional surrogate markers of insulin resistance including the TyG index, homeostatic assessment of insulin resistance (HOMA-IR), 1/fasting insulin, and quantitative insulin sensitivity check index (QUICKI). Predictive power of TyG-WHtR (ROC-AUC: 0.875) for MetSyn was highest, followed by TyG-WC (0.866), TyG-BMI (0.845), TyG index (0.832), HOMA-IR (0.820), QUICKI (0.820) and 1/fasting insulin (0.786). TyG-WHtR and TyG-WC showed significantly higher ROC-AUCs compared with TyG-index, HOMA-IR, 1/fasting insulin, and QUICKI (p≤0.001). TyG index combined with adiposity metrics is more effective in predicting MetSyn when compared to insulin resistance surrogates (TyG index, HOMA-IR, 1/fasting insulin, and QUICKI) which has been widely used in large cohort observational studies.

Body shape index (ABSI), body roundness index (BRI) and risk factors of metabolic syndrome among overweight and obese adults: a cross-sectional study

Body shape index (ABSI), body roundness index (BRI) and risk factors of metabolic syndrome among overweight and obese adults: a cross-sectional study

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.

Effects of MIND diet and propolis supplementation on metabolic syndrome indices and cognitive function among patients with metabolic syndrome in Isfahan, Iran, 2024. A rationale and study protocol for randomized controlled trial.

Metabolic syndrome (MetS) is the main general and clinical health challenge worldwide. Based on the National Cholesterol Education Program, if the person has three or more indices containing: elevated fasting blood sugar, high levels of triglycerides, hypertension, low levels of high-density lipoprotein cholesterol, and central obesity, he suffers MetS. The Mediterranean-Dietary Approaches to Stop Hypertension (DASH) Intervention for Neurodegenerative Delay diet is a novel diet that with the specific aim of safeguarding cognitive function. Propolis is a resinous substance produced by bees from the combination of buds and secretions of plants with saliva and bee enzymes. After propolis supplementation, a significant reduction in fasting plasma glucose levels and lipid profiles has been observed. Considering the importance of chronic diseases like MetS on health, the role of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet and propolis supplement that will improve blood sugar, blood lipid, anthropometric indicators, blood pressure, and cognitive function, and limited contradictory studies, we decided to conduct this study. This study, which is a randomized controlled clinical trial study, will be conducted on adults with MetS who will visit Hazrat Ali Health Center in Isfahan. Participants must provide informed consent before engaging in the study. Demographic data such as age, gender, and medical history will be recorded. Then, anthropometric indices, MetS indices, and cognitive function will be measured in all subjects. The study participants will be divided into three groups and will be controlled for 12 weeks. We will have a MIND diet + placebo group, a MIND diet + propolis supplement group, and a control group that will receive a microcrystalline cellulose placebo and usual dietary advice. At the end of the intervention, all indices will be assessed again. The data obtained in the study will be analyzed at descriptive and analytical levels by the statistical software SPSS26. The present study's protocol was approved by the Iranian Registry of Clinical Trials (www.irct.ir) on 3/28/2023 and a registration reference is IRCT20230105057054N1.

Potential of Fasting C-peptide to Glucose Ratio and Triglyceride Glucose Index as Markers for β-Cell Dysfunction and Insulin Resistance in Patients With Type 2 Diabetes on Insulin Therapy.

Pathogenesis of type 2 diabetes mellitus (T2DM) is combined from initial insulin resistance (IR) and subsequent β-cell dysfunction. Insulin therapy can replace β-cell function in advanced stages. However excessive insulin therapy increases IR and may expose the patients to risk of cardiovascular disease. We aim to assess β-cell function and IR in patients with type 2 diabetes on insulin therapy by fasting C-peptide to glucose ratio (FCPGR), and triglyceride glucose (TyG) index respectively to support treatment plans. A cross-sectional study was conducted at the Galiawa Diabetes and Endocrinology Teaching Center in Erbil City, Iraq,from June 2023 to January 2024. A convenient sample of 100 patients with T2DM on insulin-based therapy were included after obtaining informed written consent and excluding conditions such as acute illness,uncertain type of diabetes, etc. Each patient was evaluated for anthropometric parameters and current treatment details. Biochemical tests were then carried out to calculate metabolic syndrome (MetS) index score, FCPGR, and TyG index. Finally, patients were divided into four subgroups according to their FCPGR and TyG index and the data were analyzed statistically. The data showed those patients with sufficient β-cell function were 60(60%), and patients withhigh TyG index were 95 (95%). There was a significant negative correlation betweenFCPGR and hemoglobin A1c (HbA1c) (p-value=0.001), while there was a positive correlation between TyG index and HbA1C (p-value=0.001). None of these markers were correlated with BMI (p-value=0.297, and 0.976), duration of T2DM (p-value=0.258, and 0.458), and dose of insulin therapy (p-value=0.901, and 0.477). Patients with sufficient β-cell function and high TyG index had the lowest HbA1C. The study provides valuable insights into the utility of FCPGR and TyG index as biomarkers for β-cell function and insulin resistance in T2DM patients on insulin therapy. The significant correlation with HbA1C underscores their potential in clinical practice. However, the lack of correlation with BMI, disease duration, and insulin dose suggests that further investigation is needed to fully understand these biomarkers' implications across diverse patient profiles.

Single point insulin sensitivity estimator index for identifying metabolic syndrome in US adults: NHANES 2017-march 2020

PurposeSingle Point Insulin Sensitivity Estimator (SPISE) index was recently introduced as a reliable indirect indicator of insulin resistance, applicable to large population-based research. Here, we aimed to 1) examine racial/ethnic differences in SPISE index among US adults, 2) compare predictive power of SPISE index for metabolic syndrome (MetSyn) by race/ethnicity, and 3) evaluate its predictive power for MetSyn against other well-known IR indices including Triglyceride/HDL-C, Triglyceride-glucose index, homeostatic model assessment for insulin resistance, and inverse fasting insulin. MethodsA total of 2168 adults (814 white, 690 black, and 664 Hispanic) from NHANES 2017-March 2020 Pre-Pandemic Data was analyzed in this study. MetSyn was defined by the AHA/NHLBI criteria. SPISE index and insulin resistance indices were calculated by using physical and cardiometabolic parameters. ResultsSPISE index was lowest in Hispanic, followed by black and white, with no difference between white vs. black. The area under the curve of receiver operating characteristics of SPISE index for predicting MetSyn was highest in white (88 %), followed by Hispanic (86 %) and black (82 %) (P < 0.05 vs. black), with optimal cutoffs of 5.03, 4.84, and 4.89, respectively. In the total cohort, the predictive power of the SPISE index for MetSyn was 85 %, higher than the other insulin resistance indices (all P < 0.05). ConclusionsSPISE index outperforms various insulin resistance indices for predicting MetSyn in US adults, signifying its potential in large-scale observational studies. Race/ethnicity should be stratified when using the SPISE index as its predictive power and cutoffs for predicting MetSyn vary by race/ethnicity.

Incidence of metabolic syndrome in patients with unilateral or bilateral staghorn renal stones and its impact on percutaneous nephrolithotomy outcomes

BackgroundTo evaluate the incidence of metabolic syndrome (MetS) in patients with unilateral and bilateral staghorn calculi (SC) and evaluate the impact on the outcome of percutaneous nephrolithotomy (PCNL).MethodsThe clinical data of patients who underwent PCNL for the treatment of SC between 2019 and 2022 were retrospectively reviewed. SC was divided into unilateral and bilateral. The incidence of MetS was compared between the patients with unilateral SC and the patients with bilateral SC, and the impact on the outcome of PCNL was assessed.ResultsA total of 1778 patients underwent PCNL between 2019 and 2022. After screening computed tomography, 379 patients were confirmed to have SC, finally, leaving 310 patients with follow-up and complete data to be included in the study. Eighty-four had bilateral SC and 226 had unilateral SC. The patients with bilateral SC had a significantly higher body mass index and higher rates of complete staghorn stones and metabolic syndrome. Higher body mass index, hypertension, diabetes mellitus, hyperlipidaemia, and MetS were present in 62.58%, 44.84%, 21.94%, 60.65% and 27.42% of all patients, respectively. The number of MetS components remained significantly associated with bilateral SC. Specifically, when the number of MetS components increases from 0 to 3–4, the likelihood of developing bilateral staghorn calculi increases by 21.967 times. Eighty-five patients with MetS( +) had a higher rate of overall complications (number (N)(%), 29 (34.12) vs.33 (14.46), P < 0.001) and a comparable stone-free rate to 225 MetS(-) patients. Multivariable analysis confirmed that hyperlipidaemia (P = 0.044, odds ratio [OR] = 1.991, 95% confidence interval [CI] 1.020–3.888) and MetS (P = 0.005, OR = 2.427, 95% CI 1.316–4.477) were independent risk factors for overall complications.ConclusionsMetS is correlated with the formation of bilateral SC and is the main predictor for complications of PCNL especially for low-grade complications (I-II).

Correlations of Remnant Cholesterol and Atherogenic Index of Plasma as Predictors of Cardiovascular Accidents in Obese and Overweight Individuals in Nigeria

Obesity is one of the indices of metabolic syndrome and has been implicated in cardiovascular incidents. Atherogenic index of plasma (AIP) has been associated as a biomarker in the predictor of cardiovascular diseases, with remnant cholesterol (RC) suggested as a link to the development of cardiovascular incidents irrespective of body mass index. Objective: The main aim of this current study was to investigate the correlation between AIP and RC among the participants. Materials: A total of 90 participants with average age of 36.05± for normal weight, 36.54±0.7 for overweight and 37.85±2.1 for obese, were enrolled into the study, the participants were categorized based on their BMI. AIP was calculated as Log10 (TG/HDLc), RC was calculated as (TC-HDLc-LDLc), fasting blood was collected for analysis of lipid profile, and fasting blood sugar by standard methods. Data obtained were analyzed using statistical packages for social sciences (SPSS) version 22.0. Results: The values of basic lipid profile and their mathematical derivatives except HDLc were significantly higher in obese and overweight subject when compared to the control (normal weight). In the regression analysis, we found out that subjects with higher AIP shows a tendency of increased risk for the development of obesity and its related complications (OR=2.74, &lt;P 0.001). AIP showed to be a better predictive value for obesity with AUC of 0.8, than other lipid components and derivatives. The Pearson correlation analysis indicates that AIP positively and significantly correlated with RC, BMI, Castelli index I and II, non-HDLc and VLDL and negatively correlated with HDLc across the group. In this study, the analyzed Cardiovascular risk indices were indicative of atherogenicity risk which might help in identifying individuals with abnormal lipid composition at risk of cardiovascular diseases. Our findings suggested that lipid profile derivatives such as Remnant Cholesterol (RC), Atherogenic Index of Plasma (AIP) and Castelli index, could serve as more sensitive cardiovascular risk predictors in the presence of normal value of basic lipid panel test.

Correlations between Body Mass Index (BMI) and Occurance of Metabolic Syndrome on Patients in Hospital Internal Medicine Clinic

Body Mass Index (BMI) is the index used to classify and score overweight and obesity. An imbalance between energy intake and expenditure may cause the accumulation of fat in the body, which affects the BMI value. BMI is used to detect metabolic syndrome, which is a collection of symptoms that can increase the risk of non-communicable diseases such as type 2 diabetes mellitus (T2DM) and cardiovascular disease. This study aims to determine the correlations between BMI and the incidence of metabolic syndrome at the internal medicine clinic Anutapura Hospital, Palu. This research was an analytic observational study with a cross-sectional approach. The samples were 96 patients and ATP III criteria was used in the assessment of metabolic syndrome. Individuals were declared metabolic syndrome if they met 3 out of 5 criteria, namely increased waist circumference, blood pressure, fasting plasma glucose (FPG), triglyceride levels, and decreased HDL levels. Data analysis used a chi-square test. It obtained a p-value = 0.001 with the results that showed a correlation between BMI and the incidence of metabolic syndrome at the internal medicine clinic, Anutapura General Hospital, Palu. There were correlations between BMI and waist circumference (p = 0.000), blood pressure (p = 0.003), triglycerides (p = 0.000), and HDL (p = 0.000). There were no correlations between BMI and FPG levels (p = 0.531). There is a correlation between BMI and the incidence of metabolic syndrome in the internal medicine clinic Anutapura Hospital, Palu.

The Effect of Therapeutic Doses of Culinary Spices in Metabolic Syndrome: A Randomized Controlled Trial.

Non-communicable diseases (NCDs) place a significant burden on global health and the healthcare systems which support it. Metabolic syndrome is a major risk factor for a large number of NCDs; however, treatments remain limited. Previous research has shown the protective benefits of edible dietary spices on key components of metabolic syndrome. Therefore we performed a 12-week double-blind, placebo-controlled, randomized, clinical trial to evaluate the effect of ginger (Zingiber officinale), cinnamon (Cinnamomum), and black seed (Nigella sativa) consumption on blood glucose, lipid profiles, and body composition in 120 participants with, or at risk of, metabolic syndrome. Each participant consumed 3 g/day of powder (spice or placebo). Data related to different parameters were collected from participants at the baseline, midpoint, and endpoint of the intervention. Over the 12-week interventions, there was an improvement in a number of biochemical indices of metabolic syndrome, including fasting blood glucose, HbA1c, LCL, and total cholesterol associated with supplementation with the spices when compared to a placebo. This study provides evidence to support the adjunct use of supplementation for those at risk of metabolic syndrome and its sequelae.

Neck circumference as an alternative marker of metabolic syndrome in Peruvian adults: A retrospective, cross-sectional study

Neck circumference is a low-cost and simple anthropometric measure that has been proven to accurately assess central obesity. However, evidence of its use and feasibility in low-resource settings is limited. We aimed to compare the utility of neck circumference with standard physical measures of obesity in northern Peru. This was a retrospective, cross-sectional study conducted among adults screened for metabolic syndrome. Body mass index, waist circumference, neck circumference, and additional measurements for metabolic syndrome were obtained. Assessments were performed following the WHO STEPS Surveillance Manual. Pearson correlation coefficients and multiple linear regression models were used to estimate the relationship of neck circumference to waist circumference and body mass index. Data from 250 participants showed a normal, homogeneous distribution in both men and women with respect to age and physical/biochemical measurements. The mean age was 53.6 years. A positive correlation of neck circumference with body mass index (r = 0.51 for women and 0.65 for men) and waist circumference (r = 0.6 for women and 0.74 for men) was observed. Multiple linear regression showed that a 1-cm increase in neck circumference increased body mass index by 0.72 kg/m2 (p < 0.001) in men and 0.94 kg/m2 (p < 0.001) in women, and waist circumference by 2.20 cm (p < 0.001) in men and 2.27 cm (p < 0.001) in women. Our findings suggest that neck circumference is a valid and reliable measure that will replace body mass index and waist circumference in Peruvian adults with central obesity; due to the strong correlation that exists between the NC and these anthropometric measurements, mainly because it is an easy, quick measurement and is less vulnerable to errors such as in the measurement of abdominal circumference or variabilities in weight.

Harnessing Metabolic Indices as a Predictive Tool for Cardiovascular Disease in a Korean Population without Known Major Cardiovascular Event.

This study evaluated the usefulness of indices for metabolic syndrome, non-alcoholic fatty liver disease (NAFLD), and insulin resistance (IR), as predictive tools for cardiovascular disease in middle-aged Korean adults. The prospective data obtained from the Ansan-Ansung cohort database, excluding patients with major adverse cardiac and cerebrovascular events (MACCE). The primary outcome was the incidence of MACCE during the follow-up period. A total of 9,337 patients were included in the analysis, of whom 1,130 (12.1%) experienced MACCE during a median follow-up period of 15.5 years. The metabolic syndrome severity Z-score, metabolic syndrome severity score, hepatic steatosis index, and NAFLD liver fat score were found to significantly predict MACCE at values above the cut-off point and in the second and third tertiles. Among these indices, the hazard ratios of the metabolic syndrome severity score and metabolic syndrome severity Z-score were the highest after adjusting for confounding factors. The area under the receiver operating characteristic curve (AUC) of the 10-year atherosclerotic cardiovascular disease (ASCVD) score for predicting MACCE was 0.716, and the metabolic syndrome severity Z-score had an AUC of 0.619. The metabolic syndrome severity score is a highly reliable indicator and was closely associated with the 10-year ASCVD risk score in predicting MACCE in the general population. Given the specific characteristics and limitations of metabolic syndrome severity scores as well as the indices of NAFLD and IR, a more practical scoring system that considers these factors is essential to achieve greater accuracy in forecasting cardiovascular outcomes.

Screening value and correlation of body measurement indices for metabolic syndrome in the population undergoing physical examinations in Chengdu during 2018-2020

To investigate the screening value and correlation of body measurement indicators for metabolic syndrome(MS) and to provide evidence for MS screening. Through a cross-sectional research approach, data from individuals aged 18 and above who participated in health examinations at the North Health Management Center of Sichuan Provincial People&apos;s Hospital from 2018 to 2020 were reviewed. Data including height, weight, waist circumference, hip circumference, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, triglycerides, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, smoking history, and alcohol consumption history were collected. Subsequently, a body shape index(ABSI), body roundness index(BRI), body adiposity index(BAI), abdominal volume index(AVI), relative fat mass index(RFM), and body mass index(BMI) were computed. The individuals were then divided into MS and non-MS groups. The value of body measurement indices in screening for MS in the population aged 18 and above was assessed using ROC curves. Regression analysis was employed to explore the correlation between body measurement indices and MS. A total of 73 411 valid health examination data were obtained, including 44 426 males and 28 985 females. The MS group comprised 9181 males(21%) and 1668 females(6%). In the comparison between the MS and non-MS groups, there were statistically significant differences in ABSI((0.08±0.00) vs. (0.08±0.00)), BRI((4.95±0.67) vs. (4.17±0.68)), BAI((28.08±3.52) vs. (26.39±3.39)), AVI((17.51±2.77) vs. (12.85±2.91)), BMI((27.15±2.99) vs. (23.00±3.04)) and RFM((29.77±5.35) vs. (27.13±6.39))(P&lt;0.05). Univariate Logistic regression analysis showed that ABSI(OR=2.303, 95%CI 1.190-4.457), BRI(OR=4.596, 95%CI 4.446-4.752), BAI(OR=1.144, 95%CI 1.137-1.151), AVI(OR=1.668, 95%CI 1.652-1.684), RFM(OR=1.067, 95%CI 1.064-1.071) and BMI(OR=1.516, 95%CI 1.503-1.528) were associated with MS(P&lt;0.05). Multifactorial Logistic regression analysis corrected for sex, age, smoking and alcohol consumption showed that ABSI(OR=1.767, 95% CI 4.237-7.371), BRI(OR=5.441, 95% CI 5.228-5.663), BAI(OR=1.269, 95% CI 1.260-1.279), AVI(OR=1.648, 95% CI 1.631-1.665), RFM(OR=1.504, 95% CI 1.491-1.517) and BMI(OR=1.508, 95% CI 1.495-1.522) were associated with MS(P&lt;0.05). The ROC curve analysis showed that in adults, the AVI had the highest screening value for MS in males(AUC=0.855, optimal cutoff value=16.18), followed by RFM(AUC=0.844, optimal cutoff value=25.71), BMI(AUC=0.811, optimal cutoff value=25.21), BRI(AUC=0.793, optimal cutoff value=4.39), BAI(AUC=0.709, optimal cutoff value=25.88), and ABSI(AUC=0.671, optimal cutoff value=0.08). In adult females, the RFM had the highest screening value for MS(AUC=0.918, optimal cutoff value=37.01), followed by AVI(AUC=0.911, optimal cutoff value=13.43), BRI(AUC=0.901, optimal cutoff value=4.71), BMI(AUC=0.860, optimal cutoff value=23.94), ABSI(AUC=0.804, optimal cutoff value=0.08), and BAI(AUC=0.797, optimal cutoff value=29.92). ABSI, BRI, BAI, AVI, BMI and RFM are all capable of screening for MS. Among males, AVI has the highest screening value for MS, followed by RFM, BMI, BRI, BAI and ABSI. Among females, RFM has the highest screening value for MS, followed by AVI, BRI, BMI, ABSI and BAI. ABSI, BRI, BAI, AVI, RFM and BMI are positively correlated with MS.

Comparative predictive efficacy of atherogenic indices on metabolic syndrome in patients with schizophrenia

BackgroundSchizophrenia patients endure high risks of metabolic syndrome and related cardiovascular mortality. Evidence on comparing detective power among atherogenic indices of the metabolic syndrome in schizophrenia patients with antipsychotics treatment is still lacking. MethodWe recruited 128 schizophrenia patients and collected blood samples to determine plasma levels of fasting glucose, total cholesterol, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol. Five components of metabolic syndrome were assessed. Atherogenic indices, such as atherogenic index of plasma (AIP), atherogenic coefficient (AC), Castelli's risk index-I (CRI-I) and Castelli's risk index-II (CRI-II), were calculated. The area under the receiver operating characteristics curve (AUC) and regression analysis were adopted to compare the detective power of each atherogenic index for metabolic syndrome. The optimal cutoff points using maximization of Youden's index and the positive likelihood ratios were calculated. Results51 (39.8 %) had metabolic syndrome. AIP (0.2 ± 0.2 vs. 0.6 ± 0.2), AC (2.5 ± 0.9 vs. 3.4 ± 0.9), CRI-I (3.5 ± 0.9 vs. 4.4 ± 0.9,) and CRI-II (2.1 ± 0.7 vs. 2.6 ± 0.7) were higher in the group with metabolic syndrome (all p < 0.001). AIP had the highest AUC (0.845, 95 % CI: 0.770, 0.920). The optimal cut-off point of AIP to predict metabolic syndrome was 0.4 with the corresponding sensitivity 83.7 %, specificity 80.3 %, and positive likelihood ratio 4.2. Regression analysis revealed that only AIP significantly correlated with the metabolic syndrome (p < 0.001). ConclusionAmong atherogenic indices, only AIP has superior discrimination for detecting metabolic syndrome in schizophrenia with antipsychotics treatment.

Relationship between Abdominal Volume Index and Body Adiposity Index and Scales of Insulin Resistance and Metabolic Syndrome.

A descriptive, cross-sectional study was carried out on 193,462 workers from different Spanish regions and work groups between January 2019 and September 2021. Abdominal volume index (AVI) and body adiposity index (BAI) were evaluated to assess obesity and its association with insulin resistance using three risk scales (TyG index, Triglycerides/HDL, and METS-IR), while their association with metabolic syndrome was determined using the NCEP ATP III, IDF, and JIS models. The results of the ROC curves to determine the predictive value of BAI and AVI in relation to the three criteria evaluated to calculate MetS in all instances presented a higher area under the curve (AUC) for AVI. The high values of AVI stand out for predicting MetS when applying the IDF criteria. The cut-off point in women was 13.70 with a Youden index of 0.802, whereas in men, the cut-off point was set at 17.59 with a Youden index of 0.672. Regarding the relationship of BAI and AVI with insulin resistance risk scales for both sexes, the AUC only revealed high values when using the METS-IR formula for both AVI and BAI. The AVI cut-off points to predict high values of insulin resistance risk scales in women were established at 13.12 with a Youden index of 0.722. In men, the cut-off point was 17.59, with a Youden index of 0.626. The BAI cut-off points in women were set at 33.88 with a Youden index of 0.748. In men, the cut-off point was 27.91, with a Youden index of 0.598. AVI demonstrated its value as a predictor of metabolic syndrome while exclusively applying the IDF criteria. AVI and BAI demonstrated their value as predictors of high values of insulin resistance risk scales only in the case of METS-IR. This predictive value is also higher in women.

Adequate Intake of Dietary Fiber May Relieve the Detrimental Impact of Blood Lead on Dyslipidemia among US Adults: A Study of Data from the National Health and Nutrition Examination Survey Database.

Lead (Pb) exposure is a well-established risk factor for dyslipidemia, and people are exposed to it in multiple ways daily. Dietary fiber is presumed to improve lipid metabolism disorders, but it is still unknown whether it can relieve the detrimental impact of Pb on dyslipidemia. We used publicly accessible data from the 2011-2016 cycles of the National Health and Nutrition Examination Survey (NHANES). A total of 2128 US adults were enrolled for the subsequent analysis. Heavy metal concentrations in blood were measured using inductively coupled plasma mass spectrometry (ICP-MS). A weighted logistic regression was conducted to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The dose-response relationship between blood heavy metals and dyslipidemia was explored using a weighted restricted cubic spline (RCS) analysis. After fully adjusting for potential confounding factors (age, gender, race, education level, ratio of family income to poverty, marital status, body mass index, physical activity, waist circumference, smoke, alcohol drinking and history of metabolic syndrome, hypertension, and diabetes), a positive association between blood Pb levels and dyslipidemia risk was revealed (OR = 1.20, 95% CI: 1.03-1.40). Dietary fiber intake may significantly modify the association between blood Pb levels and dyslipidemia (p-interaction = 0.049), with a stronger association (OR = 1.26, 95% CI: 1.05-1.52) being revealed in individuals with an inadequate intake of dietary fiber (<14 g/1000 kcal/day), but a null association (OR = 1.01, 95% CI: 0.72-1.42) being observed in those with an adequate intake of dietary fiber (≥14 g/1000 kcal/day). Moreover, the weighted RCS analysis showed that compared with the average blood Pb exposure level (4.24 µg/dL), a lower blood Pb exposure level (3.08 µg/dL) may contribute to the risk of dyslipidemia in the group with an inadequate dietary fiber intake. Our findings suggest that Pb exposure in blood may be a risk factor for dyslipidemia. However, an adequate dietary fiber intake may offset the risk of dyslipidemia caused by blood Pb exposure. Since avoiding Pb exposure in daily life is difficult, increasing dietary fiber intake in the future might be a promising approach to alleviate dyslipidemia caused by Pb exposure.

Occurrence of Metabolic Syndrome in Untreated Bipolar Disorders: A Cross-Sectional Study.

This cross-sectional study aimed to observe the occurrence of metabolic syndrome in untreated individuals with bipolar disorders. A total of 125 untreated individuals with bipolar disorders were collected as the study group, and 201 cases from the health examination center of our hospital were selected as the control group. The participants enrolled were assessed for general demographic data, case characteristics, and metabolic indexes including body mass index (BMI), blood pressure, triglyceride, HDL-C, cholesterol, LDL-C, and fasting plasma glucose. The incidence of metabolic syndrome in the bipolar disorders group was higher compared to the control group (9.6% VS. 8.5%). After calibrating sex and age data, a significant difference between the two groups was observed (P<0.05). Diastolic and systolic blood pressure were higher in the bipolar disorders group compared to the control group (P<0.01). Men with bipolar disorders had a higher risk of developing metabolic syndrome than women (14.5% vs. 5.8%). Bipolar disorders, sex, age, and BMI were identified as independent risk factors for metabolic syndrome. No significant difference was found in terms of metabolic index and incidence of metabolic syndrome between individuals with depressive episodes (n=37) and manic episodes (n=75). Patients with bipolar disorders were found to have a higher risk of developing metabolic syndrome than healthy individuals. Bipolar disorders, male sex, age, and BMI may contribute to an increased risk of developing metabolic syndrome.

Sex-based differences in metabolic protection by the ANP genetic variant rs5068 in the general population.

Atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP) are produced in the heart and secreted into the circulation. As hormones, both peptides activate the guanylyl cyclase receptor A (GC-A), playing a role in blood pressure (BP) regulation. A significant role for ANP and BNP includes favorable actions in metabolic homeostasis. Sex-based high prevalence of risk factors for cardiovascular disease in males compared with females is well established, but sex-based differences on cardiometabolic protection have not been investigated in relation to ANP (NPPA) and BNP (NPPB) gene variants. We included 1,146 subjects in the general population from Olmsted County, Minnesota. Subjects were genotyped for the ANP gene variant rs5068 and BNP gene variant rs198389. Cardiometabolic parameters and medical records were reviewed. In the presence of the minor allele of rs5068, diastolic BP, creatinine, body mass index (BMI), waist measurement, insulin, and prevalence of obesity and metabolic syndrome were lower, whereas HDL was higher in males with only trends observed in females. We observed no associations of the minor allele with echocardiographic parameters in either males or females. Regarding rs198389 genotype, the minor allele was not associated with any BP, metabolic, renal, or echocardiographic parameters in either sex. In the general community, the minor allele of the ANP gene variant rs5068 is associated with a favorable metabolic phenotype in males. No associations were observed with the BNP gene variant rs198389. These studies support a protective role of the ANP pathway on metabolic function and underscore the importance of sex in relationship to natriuretic peptide responses.NEW & NOTEWORTHY Males are characterized by lower ANP and BNP with greater prevalence of cardiometabolic disease. The ANP genetic variant rs5068 was associated with less metabolic dysfunction in males, whereas no metabolic profile was related to the BNP genetic variant rs198389 in the general population. ANP may play a more biological role in metabolic homeostasis compared with BNP in the general population with greater physiological metabolic actions in males compared with females.

Body mass index and prevalence of metabolic syndrome among Korean adults before and after the COVID-19 outbreak: a retrospective longitudinal study.

Studies evaluating weight changes during the coronavirus disease 2019 (COVID-19) pandemic have yielded inconsistent results, and most of those studies were based on self-reported anthropometric measures. We investigated changes in body mass index (BMI), professionally measured waist circumference (WC), and metabolic syndrome components from before to during the pandemic in a sample of the adult population in Korea. This retrospective study included 1,118 male and female (age≥18 years) who underwent health checkups at a university medical center between January 1, 2016 and March 31, 2022. Changes in BMI, lifestyles, and metabolic syndrome components during the pandemic were analyzed using the paired t-test, McNemar test, generalized estimating equations, and repeated-measures analysis of variance. Changes in body weight, BMI, and body fat percentage during the pandemic were not clinically significant. However, statistically significant results were found for decreased physical activity (p<0.001) and WC (p<0.001), and exacerbation of all metabolic syndrome components (except serum triglyceride levels). Moreover, the metabolic syndrome prevalence increased significantly from 20.2% to 31.2% during the pandemic (p<0.001). The prevalence of abdominal obesity and high fasting blood glucose levels also significantly increased from 2019 to 2021. Metabolic syndrome, its components, and fat distribution worsened significantly after the implementation of social distancing and lockdowns, despite no clinically significant changes in body weight and BMI. Further studies on the post- pandemic period should investigate the long-term impact of social lockdowns on BMI and the prevalence of metabolic syndrome.

‘Effect of psyllium consumption on metabolic syndrome indices: Systematic review and dose–response meta-analysis of randomized controlled trials

‘Effect of psyllium consumption on metabolic syndrome indices: Systematic review and dose–response meta-analysis of randomized controlled trials