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Background: This study aimed to determine the relations between serum uric acid to creatinine ratio(SUA/Cr) and insulin resistance, pancreatic β cell function, and outbreak of metabolic syndrome (MetS) in normal Korean participants. Materials and methods: This study included 14,984 participants without diabetes mellitus or gout who participated in the 2019–2021 Korea National Health and Nutrition Examination Survey. To evaluate insulin resistance and β cell function, the homeostasis model assessment (HOMA) was used. Insulin resistance was suggested by HOMA-IR, and β cell function was presented as HOMA-β. Multivariate logistic linear regression analysis was used to identify the factors affecting HOMA-IR, HOMA-β, and MetS. Cut-off values of SUA/Cr to predict insulin resistance, β cell dysfunction, and MetS risk were also been suggested. Results: Consequent to dividing SUA/Cr into tertiles, the higher the SUA/Cr, the higher the HOMA-IR and dysfunction of β cell, and the rate of MetS increased (p < 0.05). SUA/Cr was associated with insulin resistance, β cell function, and existence of MetS (adjusted odds ratio [OR]; 1.231 [95% confidence interval [CI]; 1.204–1.259], 1.033 [1.011–1.057], and 1.065 [1.026–1.106], respectively). In addition, the group with the clinical significance was the 3rd tertile. In this group, insulin resistance, β cell dysfunction, and MetS risk could be predicted when SUA/Cr value was 8.2716, 8.8710, and 7.9762, respectively. Based on the total number of people, meaningful SUA/Cr values were 7.0175, 6.7925, and 6.9369. Conclusions: The SUA/Cr may be a useful marker for predicting the insulin resistance, β cell function and incidence of MetS in normal Korean participants. [ABSTRACT FROM AUTHOR]

• RETN rs7408174 increases the risk of diabetes and obesity in Brazilian adults. • GHRL rs26311 and rs4684677 increase the risk of diabetes and metabolic syndrome. • PLIN1 rs894160 is associated with increased waist-to-hip ratio and body mass index. • PLIN1 rs2289487 and RETN rs3745367 influence food intake in adults with obesity. • GHRL rs26311 influences protein intake in obese adults after a nutritional program. Genetic and environmental factors have important role in the pathogenesis of obesity and metabolic diseases. We hypothesized that genes involved in energy intake, cellular lipid metabolism and pro-inflammatory adipokines influence obesity-related metabolic disturbances and food intake. We explored the association of GHRL (rs26311G>C and rs4684677A>T), PLIN1 (rs2289487G>A and rs894160G>A), RETN (rs3745367C>T and rs7408174G>A), and NAMPT (rs1319501T>C) variants with obesity, metabolic and inflammatory markers, and food intake composition. Clinical, anthropometric, and laboratory data were obtained from 237 adults. Genomic DNA was extracted and genetic variants were analyzed by real-time polymerase chain reaction. Food intake was assessed in 81 subjects with obesity, who underwent a 9-week nutritional orientation program. Multivariate logistic regression analysis adjusted by covariates showed association of GHRL rs26311-G and rs4684677-A alleles with risk of type 2 diabetes (T2D) and/or metabolic syndrome (P <.05), and RETN rs7408174-C allele with risk of T2D and obesity (P <.05). Covariate-adjusted multivariate linear regression analysis showed association of PLIN1 rs894160-G allele with increased waist-to-hip ratio (P =.003). The nutritional orientation program reduced carbohydrate and total fat intake, in subjects with obesity (P <.05). Analysis of basal data revealed associations of PLIN1 rs894160-G with increased body mass index, PLIN1 rs2289487-A with reduced intake of total fat, monosaturated fatty acids and cholesterol, and RETN rs3745367-A with increased intake of protein and saturated fatty acids (P <.05). GHRL rs26311-G was associated with increased postprogram protein intake (P =.044). In conclusion, variants in GHRL, RETN, and PLIN1 are associated with obesity, T2D, metabolic syndrome, and increased waist-to-hip ratio, and influence food consumption in adults with obesity. This study reports on a cohort of 237 Brazilian adult subjects. Genetic analysis was undertaken on GHRL rs26311 and rs4684677, PLIN1 rs2289487 and rs894160, RETN rs3745367 and rs7408174, and NAMPT rs1319501. Variants in GHRL and RETN increase the risk of diabetes, MetS, and/or obesity. PLIN1 variant influences WHR. GHRL, PLIN1, and RETN variants are associated with differences in food intake in 81 subjects with obesity. Abbreviations: Chol, cholesterol; FAT, total fat; GHRL , ghrelin gene; MetS, metabolic syndrome; MUFA, monosaturated fatty acids; PLIN1 , perilipin gene; RETN , resistin gene; SFA, saturated fatty acids; WHR, waist-to-hip ratio. [Display omitted] [ABSTRACT FROM AUTHOR]

Body composition prediction from 3D optical imagery has previously been studied with linear algorithms. In this study, we present a novel application of deep 3D convolutional graph networks and nonlinear Gaussian process regression for human body shape parameterization and body composition estimation. We trained and tested linear and nonlinear models with ablation studies on a novel ensemble body shape dataset containing 4286 scans. Nonlinear GPR produced up to a 20% reduction in prediction error and up to a 30% increase in precision over linear regression for both sexes in 10 tested body composition variables. Deep shape features produced 6–8% reduction in prediction error over linear PCA features for males only, and a 4–14% reduction in precision error for both sexes. All coefficients of determination (R2) for all predicted variables were above 0.86 and achieved lower estimation RMSEs than all previous work on 10 metrics of body composition. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic was associated with an increasing prevalence of MetS in health care workers. Health care workers need to enhance their health awareness in pandemic, while hospital administrators should provide comprehensive education and training, ensure adequate personal protective equipment, assess fitness for work, and manage workloads appropriately. Objectives: This cohort study aimed to determine the effect of the COVID-19 pandemic on the prevalence of metabolic syndrome (MetS) among health care workers at a dedicated COVID-19 hospital in Taiwan. Methods: This study recruited 397 health care workers who completed health checkups before and during the COVID-19 pandemic. The differences of MetS and its components prevalence before and during the COVID-19 pandemic were compared using the paired samples t tests for normally distributed variables, and Wilcoxon signed-rank tests for nonnormally distributed variables. Results: The prevalence of MetS among health care workers significantly increased from 20.9% to 28.7% during the pandemic (P < 0.001). Central obesity and hypertension were the primary contributors to the development of MetS. Conclusions: COVID-19 pandemic was associated with an increasing prevalence of MetS in health care workers, necessitating health-promoting measures to mitigate this risk. [ABSTRACT FROM AUTHOR]

Introduction: This study aimed to determine the burden of suspected nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) in a predominantly Hispanic patient population and explore the utility of the American Gastroenterological Association's NAFLD Clinical Care Pathway (CCP). Methodology: Electronic medical records (n = 223) were used to divide patients into risk groups based on the amount of metabolic risk factors they presented, diabetic status, or if they presented other liver diseases. Fribosis-4 (FIB-4) scores were used to determine the risk for advanced fibrosis. Results: Most patients (83.8%) were considered at risk for NAFLD based on CCP criteria, and about a third of patients (33.2%) were found to be at indeterminate (n = 60; 26.9%) or high risk (n = 14; 6.3%) for advanced fibrosis. Most indeterminate-risk patients (78.3%) were not referred for liver imaging. Discussion: This study demonstrates the potential of the CCP as a corrective tool that could help to better identify and screen patients at risk for NAFLD. [ABSTRACT FROM AUTHOR]

Summary: Background: Uric acid (UA) and homeostatic model assessment of insulin resistance (HOMA‐IR) are endogenous biomarkers implicated in metabolic disorders and dysfunction. Objectives: To investigate the structural associations between sugar‐sweetened beverage intake (SSB), UA, HOMA‐IR and adolescent latent MetS construct (MetsC) representing paediatric metabolic syndrome (MetS). Methods: A population‐based representative adolescent cohort (n = 1454) was evaluated for risk profiles of MetS. Structural equation modelling was performed to identify multifactor structural associations between study parameters and evaluate mediating effects. Results: Adolescents had a single‐factor latent construct representing MetS. Increased SSB intake was associated with higher UA and HOMA‐IR levels, and the two biomarkers were positively associated with the MetsC score. UA and HOMA‐IR exerted three mediating effects on the association between fructose‐rich tea beverage (FTB) intake of >500 mL/day and MetsC: adjusted standardized coefficient and mediating effect (%), FTB → UA → MetsC: 0.071, 23.1%; FTB → HOMA‐IR → MetsC: 0.034, 11.0%; FTB → UA → HOMA‐IR → MetsC: 0.010, 3.1%. The UA‐associated pathways accounted for 31.1% of the overall mediation on the association between bottled sugar‐containing beverage intake and MetsC. After accounting for the UA‐ and HOMA‐IR‐derived detrimental effects, the fructose‐rich tea beverage intake of >500 mL/day had a tea‐related beneficial effect on MetsC, with an adjusted standardized coefficient of −0.103. Conclusions: UA and HOMA‐IR individually and jointly mediate the adverse effects of high fructose‐rich SSB intake on the mechanisms underlying paediatric MetS. Fructose‐free tea‐based beverages may have a beneficial effect on latent MetS structure in adolescents. [ABSTRACT FROM AUTHOR]

Background/Objectives: Some individuals with obesity may exhibit fewer metabolic disturbances and face a lower long-term risk of complications; however, the existence of this so-called "metabolically healthy obesity" (MHO) compared to "metabolically unhealthy obesity" (MUO) remains controversial. We hypothesized that children with MHO might have a more favorable profile than children with MUO. Markers of glucose metabolism and insulin sensitivity were compared between children and adolescents diagnosed with MHO and MUO. Methods: This study recruited prospectively 104 children and adolescents (aged 6–16 years, 47 boys) with obesity. All participants underwent an oral glucose tolerance test (OGTT), and a comparative analysis was performed on HOMA-IR, QUICKI, insulin sensitivity index (ISI), insulinogenic index (IGI), disposition index (DI), and oral disposition index (oDI). Glucose metabolism indices were compared in these subgroups according to pubertal status. Results: Forty-seven children (45.2%) were diagnosed with MHO. The whole-body ISI differed significantly between the MHO and MUO groups (4.02 vs. 2.7, p < 0.01). The IGI was statistically lower in the MHO group compared to MUO (1.26 vs. 1.54, p < 0.01), while neither the DI nor the oDI differed significantly. A higher ISI (4.5 vs. 3.9, p < 0.01) was observed in prepubertal MHO individuals compared to MHO adolescents. Conclusions: Children classified as MHO according to the more recent criteria exhibit a more favorable metabolic profile than those with MUO. However, a completely healthy profile was not demonstrated in the MHO group, as many crucial metabolic profile parameters were comparable to those observed in the MUO group. The findings of this study indicate that all children with obesity, irrespective of whether they are categorized as having MUO or MHO, necessitate close monitoring. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome poses a significant public health challenge globally, particularly among older adults. Dietary patterns play a crucial role in the development and management of metabolic syndrome. However, to our knowledge, no evidence exists regarding the association between dietary patterns and metabolic syndrome among the Mexican older adult population. Thus, the objective of the present study is to assess the association between dietary patterns and metabolic syndrome in Mexican older adults. Methods: This cross-sectional study utilized data from the Mexican National Health and Nutrition Survey 2016 to investigate the relationship between dietary patterns and metabolic syndrome in 804 OA (aged ≥60 years). Dietary patterns were derived using factor analysis, and metabolic syndrome was defined based on established criteria. Logistic regression models were employed to assess associations, adjusting for potential confounders. Results: Three dietary patterns were identified: a "Westernized" pattern characterized by high consumption of processed meat, red meat, and saturated fats; a "Transitional" pattern high in fresh vegetables and fruits; and a "Prudent" pattern high in fish and low-fat dairy products. The "Westernized" pattern exhibited a positive association with metabolic syndrome, while the "Prudent" pattern showed a negative association. The associations remained significant after adjusting for confounders. Biological mechanisms linking the "Westernized" pattern to metabolic syndrome include chronic inflammation, endothelial dysfunction, and dyslipidemia induced by components such as processed meats and soft drinks. Conclusion: Our study highlights the importance of dietary patterns in influencing metabolic syndrome risk among Mexican older adults. Promoting dietary patterns rich in fish, vegetables, and legumes while reducing consumption of processed meats and sugary beverages may offer significant health benefits in this population. Further prospective studies are needed to confirm these findings and inform targeted interventions for metabolic syndrome prevention and management in older adults. [ABSTRACT FROM AUTHOR]

Background: To study effect of pregnancy on obese women's maternal cardiometabolic biomarkers as a signature for maternal morbidity and complications. Methods: This cross-sectional cohort study involved pregnant Emirati women who had regular menstrual cycles and had normal blood pressure. Pre-pregnancy body mass index was calculated using height and weight measurements recorded within three months before current pregnancy. Average systolic and diastolic blood pressure measurements were calculated from each visit. Blood samples were collected randomly once and following cardiometabolic biomarkers were measured. Results: We enrolled 178 pregnant women, with a mean age ± standard deviation of cohort was 29.9 ± 4.97 years and Pre-pregnancy body mass index 28.11 ± 6.58 kg/m2. None of blood pressure measurements or biomarkers serum concentrations were statistically different across Pre-pregnancy body mass index groups except for soluble intercellular cytoadhesive molecule-1levels which were the highest in underweight women. Pregnant women with pre-gestational obesity had higher systolic and diastolic blood pressure levels compared to women with normal or overweight. All variables were statistically significantly different by trimesters except systolic blood pressure, random blood glucose, lipoprotein-A, and high-sensitivity C-Reactive Protein. After adjusting, in a multivariate linear regression model, for maternal age, trimester of pregnancy, education level, parity and smoking, none of biomarkers or blood pressure were found to be significantly associated with Pre-pregnancy body mass index. In a multivariate linear regression model adjusting for maternal age, Pre-pregnancy body mass index, education level, parity and smoking, gamma-glutamyl transferase, total cholesterol, high density lipoprotein, low-density lipoprotein, triglycerides, apolipoprotein A & B, interleukin-6, tumor necrosis factor-alpha and insulin-like growth factor-1 concentrations remained significantly associated with advancing trimester of pregnancy. There was a significant interaction between Pre-pregnancy body mass index and trimester of pregnancy for serum gamma-glutamyl transferase and soluble intercellular cytoadhesive molecule-1concentration. Conclusion: This study emphasizes how pregnancy has a significant impact on cardiometabolic markers in obese women, indicating both hyperlipidemic status of pregnancy and diabetogenic tendency in obese patients who are not diabetics. These findings may suggest that pregnancy in obese patients increases risk of developing metabolic syndrome in future, therefore more attention is recommended of pregnant obese women and further study of establishing specific cardiometabolic biomarkers screening program. Plain Language Summary: The World Health Organization (WHO) has recommended a prevention strategy to reduce the maternal complications of obese pregnant women. This study assesses the effect of pregnancy on obese women's maternal cardiometabolic biomarkers (CMBs) as risk of increase maternal morbidity and complications. The women Pre-pregnancy body mass index (pBMI) was calculated and their blood pressure measured. Blood samples were collected randomly once during maternal clinical visits and the cardiometabolic biomarkers were analyzed. Many variables were significantly different by pregnancy trimesters that emphasizes the negative impact of pregnancy on cardiometabolic markers in obese women. These findings may suggest that pregnancy in obese patients increases the risk of developing metabolic syndrome in the future. [ABSTRACT FROM AUTHOR]

Background: Depression is one of the most debilitating mental disorders and a risk factor for many other chronic diseases that are commonly seen in the geriatric population. It has been claimed in previous studies that depression can be associated with obesity in this age group, but there is no common consensus between their results. Aim: This study aims to evaluate the association between depression metabolic syndrome and obesity phenotypes in community-dwelling older adults living in the East of Iran. Method and materials: As a part of the Birjand Longitudinal Aging Study, this retrospective cross-sectional study was conducted on participants older than 60. They were categorized based on their body mass index and components of metabolic syndrome into four phenotypes: metabolic non-healthy obese (MNHO), metabolic healthy obese (MHO), metabolic healthy non-obese (MHNO), and metabolic non-healthy non-obese (MNHNO). The relative risk ratio (RRR) of the obesity phenotypes, the severity of depressive symptoms, and the 95% confidence intervals (95% CI) were evaluated by univariate and multinomial logistic regression. Results: Of 1344 eligible participants, 268 (19.94%) had depression. Moderate, moderate-severe, and severe depression were observed in 179 (13.32%), 67 (4.99%), and 22 (1.64%) participants, respectively. Our findings showed a non-significant increase in the RRR of mild depressive symptoms in MNHO (RRR:1.22, 95% CI 0.56–2.66) and severe symptoms in MNHNO (RRR:1.20, 95% CI 0.02–63.17) females. However, in male participants, the RRR of moderate-severe depressive symptoms only increased non-significantly for the MNHO category (RRR:1.34, 95% CI 0.45–3.98). Conclusion: We did not observe a meaningful association between depressive symptoms and obesity phenotypes. Also, other than malnutrition or its risk, various severities of depressive symptoms correlate with different sociodemographic and medical risk factors among male and female senior citizens. [ABSTRACT FROM AUTHOR]

Background/Objectives: This study aimed to develop and validate a machine learning (ML)-based metabolic syndrome (MetS) risk prediction model. Methods: We examined data from 6155 participants of the China Health and Retirement Longitudinal Study (CHARLS) in 2011. The LASSO regression feature selection identified the best MetS predictors. Nine ML-based algorithms were adopted to build predictive models. The model performance was validated using cohort data from the Korea National Health and Nutrition Examination Survey (KNHANES) (n = 5297), the United Kingdom (UK) Biobank (n = 218,781), and the National Health and Nutrition Examination Survey (NHANES) (n = 2549). Results: The multilayer perceptron (MLP)-based model performed best in the CHARLS cohort (AUC = 0.8908; PRAUC = 0.8073), the logistic model in the KNHANES cohort (AUC = 0.9101, PRAUC = 0.8116), the xgboost model in the UK Biobank cohort (AUC = 0.8556, PRAUC = 0.6246), and the MLP model in the NHANES cohort (AUC = 0.9055, PRAUC = 0.8264). Conclusions: Our MLP-based model has the potential to serve as a clinical application for detecting MetS in different populations. [ABSTRACT FROM AUTHOR]

Background: The metabolic syndrome consists of a combination of metabolic abnormalities and genetic predisposition that both contribute significantly to its development. Numerous studies have established a strong association between single nucleotide polymorphisms (SNPs) of the rs7903146 variant in the TCF7L2 gene and the metabolic syndrome (MetS) as well as type 2 diabetes. Objective: The aim of this study was to assess the impact of rs7903146 on MetS and its components. Methods: For this cross-sectional study, 325 individuals aged 25 to 86 who were selected from the baseline data of the Ahvaz cohort study were examined. Body mass index, blood pressure, fasting blood glucose, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) were measured following standard protocols. MetS subjects were identified based on the National Cholesterol Education Program guidelines. Genotyping was conducted using the PCR-RFLP method. Results: Our findings revealed that individuals with the CT genotype of rs7903146 had an increased risk of MetS (OR 2.24; 95% CI, 1.26–3.98; p < 0.006). This genotype was also found to be associated with a higher risk of hypertension and low HDL cholesterol (p < 0.05). Moreover, plasma triglyceride levels were slightly higher in individuals with TT and CT genotypes, although not significantly so (p = 0.06). Conclusion: In conclusion, the CT genotype of the TCF7L2 rs7903146 polymorphism exhibited higher odds for MetS. While lifestyle factors and other genes are also implicated in MetS, our findings suggest that studying TCF7L2 polymorphisms in high-risk groups could contribute to the development of genotype-specific prevention or treatment strategies. However, further research is required to validate these results. [ABSTRACT FROM AUTHOR]

Context Ginger consumption may have an inverse relationship with obesity and metabolic syndrome parameters; however, clinical trials have reported contradictory results. Objective To systematically review and analyze randomized controlled trials (RCTs) assessing the effects of ginger on body weight and body composition parameters. Methods Databases were searched for appropriate articles up to August 20, 2022. All selected RCTs investigated the impact of ginger on glycemic indices in adults. A random effects model was used to conduct a meta-analysis, and heterogeneity was assessed using the I2 statistic. Net changes in body weight, body mass index (BMI), waist circumference (WC), and percent body fat were used to calculate the effect size, which was reported as a weighted mean difference (WMD) and 95% confidence intervals (CIs). The risk of bias was assessed. Results A total of 27 RCTs involving 1309 participants were included. The certainty in the evidence was very low for WC and BMI, and low for body weight and percent body fat as assessed by the GRADE evidence profiles. The meta-analysis showed a significant association between ginger supplementation and a reduction in body weight (WMD, –1.52 kg; 95%CI, –2.37, –0.66; P < 0.001), BMI (WMD, –0.58 kg/m2; 95%CI, –0.87, –0.30; P < 0.001), WC (WMD, –1.04 cm; 95%CI: –1.93, –0.15; P  = 0.021), and percent body fat consumption (WMD, –0.87%; 95%CI, –1.71, –0.03; P  = 0.042). The results of the nonlinear dose-response analysis showed a significant association between the ginger dose with body weight (P nonlinearity = 0.019) and WC (P nonlinearity = 0.042). The effective dose of ginger intervention for body mass reduction was determined to be 2 g/d in dose-response analysis. The duration of ginger intervention had a significant nonlinear relationship with body weight (P nonlinearity = 0.028) with an effective duration of longer than 8 weeks. Conclusions Our findings provide evidence that ginger consumption may significantly affect body composition parameters nonlinearly. More, well-constructed RCTs are needed. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Evidence is scarce on the clustering patterns of disordered eating di-mensionsor symptoms and their effects on future cardiometabolic health. This study examines associations of disordered eating trajectory profiles (from 13 to 21 years), with BMI and related cardiometabolic features at ages 21, 24 and 27. METHODS: Participants are from the Epidemiological Health Investigation of Teenagers cohort (Porto, Portugal). At 13,17 and 21 years, 3 Eating Disorder Inventory subscales were assessed (drive for thinness, bulimia and body dissatisfaction), and a latent class analysis derived trajectory profiles. Associations with BMI and having ≥1 metabolic syndrome feature at 21 (n = 1619), 24 (n = 916) and 27 years (n = 720) were tested using generalized linear models and binary logistic regressions. RESULTS: The following 4 profiles were obtained: "higher" levels (highest severity of symptoms at all ages, 16-19%), "increasing" (especially of body concerns, 26-28%), "decreasing" (18-19%), and "lower" (highest proportion of individuals with low/without disordered eating, 35-37%). Compared with the lower levels profile, both sexes with higher and increasing disordered eating presented heightened BMI at 21, 24 and 27 years. Women in the higher levels profile had higher odds of having ≥1 metabolic syndrome feature at 21 and 24 years, while men with higher and increasing disordered eating presented increased odds at 21, 24 and 27 years. CONCLUSIONS: Individuals, particularly males, with higher or increasing disordered eating levels from 13 to 21 years of age presented a higher risk of worsened cardiometabolic health up to 6 years later in adulthood. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Evidence concerning the health effects of using heated tobacco products is needed. The aim of the present study is to investigate the effects of conventional cigarettes (CCs), electronic vaping cigarettes (EVCs), and heated tobacco products (HTPs) on the development of metabolic syndrome. METHODS: We conducted a cohort study in South Korea using data from the Korea Medical Institute. The study included 183870 people who visited the Korea Medical Institute, responded to a smoking status questionnaire in 2019, and were followed up in 2020 – ever and current use of CCs, EVCs, and HTPs. We defined the main outcome as incident metabolic syndrome among participants with at least two health checkups separated by a follow-up period of at least a year. RESULTS: The association of using HTPs with risk for metabolic syndrome was estimated after controlling for age, sex, exercise, drinking history, and smoking regular cigarettes and using EVCs, with the Cox proportional hazards model. The risk of incident metabolic syndrome was increased by 68% (HR=1.68; 95% CI: 1.25–2.26) for current HTP users compared to never users. Among HTP users who did not currently smoke conventional cigarettes, the risk was doubled (HR=2.17; 95% CI: 1.31–3.62) when their smoking duration was ≥3 years. The risk of metabolic syndrome increased by 33% (HR=1.33; CI: 1.18–1.49) among HTP users who used them more than 16 times a day. The use of HTP was found to increase the risk of developing metabolic syndrome, with a particularly elevated risk observed among those who used HTPs for more than three years. The risk was higher than that observed in conventional cigarette users. CONCLUSIONS: Our findings indicate that HTP use poses comparable risks in relation to metabolic syndrome development. [ABSTRACT FROM AUTHOR]

Background: Special low protein foods (SLPF) that are phenylalanine (Phe)-free or have a low Phe content are an integral part of PKU diet therapy. Aim: The aim of this study is to determine the nutritional profiles of SLPFs used in Turkey and to compare their contents with equivalent products in the "regular" category, in order to evaluate nutritional and metabolic risks. Methods: Between February and March 2022, the information concerning the nutritional contents of "special low protein products" recommended for PKU and available in Turkey were obtained from the websites of producers/suppliers. Results: A total of 148 SLPFs were identified in Turkey. Compared to regular products, SLPFs were determined to contain less sugar and high carbohydrate content in the Turkish market (p < 0.001). Overall, SLPF products had higher dietary fiber compared to products with regular protein content (p < 0.001). In SLPF subgroups, meat substitutes, rice and pasta, and soup products had significantly less total fat than regular products; low protein bread, sweet snacks, and salted crackers were found to contain less saturated fat (p < 0.05). Moreover, all SLPFs contained significantly more salt than regular products, especially the salt content of subgroups of low protein bread, flour, pasta, and rice was significantly higher than regular products (p < 0.05). Conclusion: Including detailed nutritional information on the Turkish SLPFs' food labels will be effective for patients with PKU to follow themselves on their own. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) being a biological abnormality confers the highest risk of type 2 diabetes mellitus (T2DM). Aim: To assess MetS indicators in the newly diagnosed T2DM Pakistani population. Methods: A cross-sectional study (N = 123) with newly diagnosed T2DM patients (gender: both, MeanAge: 49.24 ± 6.84 years) was selected from Medical OPD, Pakistan Institute of Medical Sciences, Islamabad. Basic profile, family history, and physical activity were recorded through a predesigned questionnaire, dietary intake through seven days Food Diary and Food Frequency Questionnaire. Blood pressure and selected clinical signs and symptoms were recorded. Anthropometric measurements included mid-upper arm circumference (MUAC), body mass index (BMI), waist circumference (WC), waist-and-hip ratio (WHR), waist-to-height ratio (WHtR), and conicity index. Lab parameters included fasting blood glucose, HbA1c, insulin levels, and lipid profile. Homeostatic model assessment of insulin resistance (HOMA-IR) was computed to assess insulin resistance. Results: Almost all parameters related to MetS were higher than normal. The prevalence of MetS was 59.7%. BMI, MUAC, and WHtR were independently associated with HOMA-IR, but WC, WHR, and the conicity index had no relationship MetS indicators. Conclusion: The prevalence rate of MetS was found to be 59.7% in newly diagnosed T2DM patients. MUAC was found to be a better parameter for the diagnosis of central obesity and insulin resistance in the selected population. [ABSTRACT FROM AUTHOR]

Metabolic syndrome is a common condition among shift workers (but not exclusively), as this type of work produces changes in the circadian rhythm associated with changes in glucose and lipid metabolism and an increased risk of cardiovascular disease. During the employment or periodic examinations, the occupational medicine doctor performs certain tests such as electrocardiogram, blood pressure measurement, orders blood tests (glycemia, alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamine transpeptidase (GGT), creatinine, depending on the type of exposure of the worker. Their changes can translate into restrictions of some activities, the need to re-organize work and, in extreme cases, the unfitness for the respective job. That is why it is necessary to find effective methods for the early identification of the risk of developing metabolic syndrome among workers regardless of the type of work or schedule they perform, before the onset of a chronic disease that can lead to an impaired quality of life and/or a reduction of work capacity. This article reviews the definition of metabolic syndrome, the current recommendations introduced in international guidelines and some of the screening methods which may be useful for the the medical surveillance of workers at risk of developing metabolic syndrome. [ABSTRACT FROM AUTHOR]

Background/Objectives: The associations between low birth weight (LBW) and the aggregation of metabolic risk factors (MRF) in youth remain ambiguous. Thus, this study analysed the interrelationship among MRF, LBW, and behavioural factors in adolescents. Methods: The sample of the present cross-sectional study comprised 491 youth (229 males, 262 females) aged 14–17 years. Height, weight, and BMI were assessed. Cardiorespiratory fitness (CRF) was measured using the PACER test. Physical activity (PA) was evaluated using a 3-day diary. A MRF risk score was calculated using the Z-scores of the five MRF criteria (HDL-C, triglycerides, BP, insulin, and blood glucose). Results: The average values for height, weight, and systolic and diastolic BP were significantly higher in males (p < 0.01); in contrast, females exhibited higher HDL cholesterol and insulin levels (p < 0.01). Boys revealed higher levels of PA (p < 0.01), and they achieved better CRF scores than girls (p < 0.01). BMI emerged as a significant predictor of clustered metabolic risk for both males (β = 0.26; 95% CI, 0.16–0.36) and females (β = 0.02; 95% CI, 0.14–0.30); additionally, the results indicated that more physically active girls had a notably lower metabolic risk (β = −0.01; 95% CI, −0.10–−0.01) than their male peers. Conclusions: LBW was found to be independently correlated with the aggregated MRF (β = −0.01; 95% CI, −0.01–0.00) among boys aged 14–17 years. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome is a prevalent and common health problem and numerous studies have revealed the role of diet and lifestyle change in prevention of metabolic syndrome. However, the novel dietary index, cardioprotective index (CPI) and its association with metabolic syndrome is not investigated yet. In the current study, we evaluated the association between metabolic syndrome and its components, CPI, Nesfatin-1 and Omentin-1in a cross-sectional study. Methods: Three hundred forty eight overweight and obese individuals with metabolic syndrome were recruited. Subjects underwent anthropometric and laboratory assays including metabolic markers, Nesfatin-1 and Omentin-1 with commercial kits. Results: Those at the first tertile of CPI had lower high density lipoprotein concentrations (HDL) and higher low density lipoprotein concentrations (LDL), triglyceride (TG), systolic and diastolic blood pressures (SBP, DBP) levels compared with those at the highest tertiles (P < 0.05). After adjustment for the confounding effects of age, sex, body mass index, physical activity and total calorie intake, LDL lost its significance across CPI tertiles. Moreover, serum total cholesterol, insulin and insulin resistance were not significant across CPI tertiles neither in crude nor in adjusted models (P > 0.05). Additionally, being at the third tertile of CPI was accompanied with significantly higher Nesfatin-1 and Omentin-1 levels compared with lowest tertiels (P < 0.05) in crude and confounder – adjusted models. Conclusions: To our findings, CPI was in positive relationship with metabolic parameters, blood pressure, Nesfatin-1 and Omentin-1 levels in metabolic syndrome. Further future studies will help to elaborate the causality. Clinical trial number: Not applicable. [ABSTRACT FROM AUTHOR]

Objective: Adult growth hormone deficiency (AGHD) is characterized by central adiposity and metabolic disorders. Asprosin, a newly discovered adipokine, plays a crucial role in connecting adipose tissue function with the development of metabolic syndrome. This study aims to evaluate the circulating levels of asprosin in AGHD patients and explore the potential correlation between asprosin levels and various metabolic parameters. Subjects and Methods: Forty male patients with AGHD (mean age: 33.5 ± 9.5 yrs and mean BMI: 25.0 ± 4.5 kg/m2) and forty age‐, gender‐, and BMI‐matched non‐AGHD controls were enrolled. Medical history, anthropometric parameters (weight, height, waist circumference), and biochemical and hormonal investigations were collected from the electronic medical record system. Fat mass, fat percentage, and fat‐free mass (FFM) were evaluated by bioelectrical impedance. Serum levels of asprosin were measured by ELISA. Results: Patients with AGHD demonstrated notably increased waist‐to‐hip ratios, triglyceride levels, and decreased HDL‐cholesterol levels compared with the control group. In additionally, AGHD patients exhibited significantly higher serum levels of asprosin compared with controls (p = 0.039). A notable association was observed between serum asprosin levels and FFM, triglycerides, and HDL‐cholesterol levels in the whole population. Conclusions: Our study highlights distinct metabolic alterations in AGHD patients when matched for BMI with controls and investigates variations in serum asprosin levels for the first time. These findings have significant implications for identifying potential biomarkers for metabolic syndrome risk in AGHD patients and informing future treatment approaches. [ABSTRACT FROM AUTHOR]

Background: Schizophrenia (SCZ) is a chronic, disabling mental illness with a high disease burden and is often comorbid with metabolic syndrome (MetS). The aim of this study was to determine the prevalence of MetS in young, clinically stable, olanzapine-exposed patients with SCZ and to explore predictive factors affecting the development and severity of MetS. Methods: A total of 274 patients with SCZ who met the inclusion criteria were enrolled in this study, and their demographic data and general clinical information were collected. Concurrently, patients were assessed for psychopathology, illness severity, and antipsychotic drug–related adverse effects. Results: The prevalence of MetS in the target population was 35.77%, and the MetS subtype of abdominal obesity + high triglycerides + low level of high-density lipoprotein cholesterol accounted for the majority of patients in the MetS subgroup. Binary logistic regression showed that body mass index (BMI), uric acid (UA), thyroid-stimulating hormone, and QT-c interval could significantly and positively predict the development of MetS. Multiple linear regression showed that olanzapine concentration, BMI, and UA could significantly and positively predict higher MetS scores. Conclusion: This study reports the clinical patterns of MetS in young, clinically stable, olanzapine-exposed patients with SCZ and identifies the correlations influencing the development and severity of MetS. These findings could potentially be applied toward the prevention of and intervention in MetS. [ABSTRACT FROM AUTHOR]

Understanding the association between exposure to rare earth elements and metabolic syndrome and its components will not only help physicians better assess health risks but also help prevent and control the occurrence and development of metabolic syndrome. Objective: This study aimed to investigate the association between rare earth elements (REEs) and metabolic syndrome (MetS). Methods: We used a cross-sectional design based on the baseline data of the Prospective Cohort Study of Chronic Diseases in Ethnic Minority Natural Population in Guangxi in China. Logistic regression and BKMR models were employed to evaluate the association between REEs and risk of MetS. Results: Although REEs were not significantly associated with MetS, certain elements such as La, Pr, and Nd were negatively associated with abdominal obesity, whereas Ce, Pr, Nd, and Dy were positively associated with hypertension. BKMR models suggested a U-shaped relationship between mixed REEs and MetS, with varying effects on abdominal obesity and high blood pressure. Conclusions: This study suggests that exposure to REEs may be associated with a reduced risk of abdominal obesity and an increased risk of high blood pressure. [ABSTRACT FROM AUTHOR]

Purpose: This study analyzed the prevalence of metabolic syndrome and influencing factors among adult workers aged 19 to 64. Methods: Data from the ninth Korea National Health and Nutrition Examination Survey conducted in 2022 were utilized. The sample comprised 685 individuals who had measurements of fasting glucose, triglycerides, high-density lipoprotein cholesterol, blood pressure, and waist circumference, which are necessary to diagnose metabolic syndrome. Data analysis was performed using SPSS 26.0, and complex sample logistic regression was conducted to identify factors influencing metabolic syndrome. Results: Among the participants, 34.3% were diagnosed with metabolic syndrome. Significant differences were observed in sex, age, region, marital status, regular worker, and physical activity between participants with and without metabolic syndrome (p < .05). Factors influencing the prevalence of metabolic syndrome included sex, age (with the 19~29 age group showing a significantly lower risk), physical activity, smoking, and perceived stress levels (p < .05). Conclusion: To prevent metabolic syndrome in adult workers, it is essential to promote physical activity, discourage smoking, and encourage effective stress management. [ABSTRACT FROM AUTHOR]

The U.S. National Health and Nutrition Examination Survey (NHANES) physical activity monitor datasets for 2011–12 and 2013–14 were released in late 2020. To date, there has been limited interpretation of these nationally representative wrist‐worn accelerometer data (summarized and reported in Monitor Independent Movement Summary [MIMS] units) and their relationships with health‐related outcomes. This study examined the associations between free‐living DailyMIMS (volume), Peak 1MIMS and Peak 30MIMS (intensity), and risk of Metabolic Syndrome (MetS). Data from adults (N=3787; 18–80+ years) in the 2011–12 and 2013–14 NHANES cycles with health examination and accelerometry data were included. Accelerometer data were processed into Peak 1MIMS and Peak 30MIMS (MIMS/min), and DailyMIMS (MIMS/day). Design‐based generalized linear and logistic regressions, and a sample‐weighted decision tree, were used to examine associations between MIMS variables and MetS risk factors. Lower Peak 1MIMS, Peak 30MIMS, and DailyMIMS were observed for every one‐unit increase in the number of risk factors −3.9 [95% CI: −4.3, −3.4] and −2.3 [−2.6, −2.1] MIMS/min, (−672.1 [−772.7, −571.5] MIMS/day, respectively, all p< 0.001). The Decision Tree classified individuals ≥ 46.5 years with a DailyMIMS ≥ 12 245 MIMS/day and a Peak 30MIMS < 45.1 MIMS/min as having MetS (≥ 3 risk factors). Individuals < 46.5 years with a Peak 1MIMS ≥ 62.9 MIMS/min were classified with 0 risk factors. Higher DailyMIMS and PeakMIMS were associated with an absence of MetS risk factors, with a progressive decline as the number of risk factors increased. These findings may be considered as preliminary benchmarks for DailyMIMS and PeakMIMS associated with cardiometabolic risk. [ABSTRACT FROM AUTHOR]

microRNAs (miRNAs) could mediate the glucose and lipid metabolism progress in metabolic syndrome (MetS). To analyze the value of miRNA (miR)-21–5p for MetS diagnosis in children with obesity. Function of miR-21–5p has been explored by the prediction of target genes and functional and pathway enrichment analysis. Relative miR-21–5p level was examined by qRT-PCR. Predictive value of miR-21–5p for MetS was assessed by ROC curve. miRBase, TargetScan, and miRWalk databases were used to screen the target genes of miR-21–5p. GO and KEGG were operated to analyze the function of candidate genes of miR-21–5p. Overexpressed miR-21–5p was discovered in MetS children (P < 0.001). High miR-21–5p level could predict MetS patients from children with obesity. Serum miR-21–5p level was closely related to BMI (r = 0.631, P < 0.001), FBG (r = 0.341, P < 0.001), Fasting Insulin (r = 0.438, P < 0.001), TG (r = 0.662, P < 0.001), SBP (r = 0.432, P < 0.001), DBP (r = 0.524, P < 0.001), and HDL-C (r = -0.201, P < 0.001). High miR-21–5p level could predict MetS patients from children with obesity (AUC= 0.827, sensitivity= 0.750, specificity=0.806, cutoff value= 1.0293, P < 0.001). Venn diagram found 83 intersection genes among 3 databases. GO and KEGG analyses indicated that candidate genes of miR-21–5p were mainly correlated with Axon guidance, FoxO signaling pathway, cytokine-cytokine receptor interaction, and insulin resistance pathways. Blood miR-21–5p was elevated in MetS children, and could predict MetS subjects from children with obesity. miR-21–5p could regulate the MetS development via FoxO signaling pathway and insulin resistance pathways. [ABSTRACT FROM AUTHOR]

The relationship between socioeconomic status (SES) and health outcomes has garnered significant attention. However, there is a limited amount of research exploring the association between SES and the risk of metabolic syndrome in Malaysian adults. This study aimed to determine the association between SES and risk of hypertension, diabetes and obesity. By using data from the National Health and Morbidity Survey (NHMS), SES was derived through principal component analysis involving six variables. Two different SES components were identified and labeled as "social status" and "wealth status." Among the participants, 36% were diagnosed with hypertension, 18% with obesity, and 21% with diabetes. Adults with high wealth and social status showed a significantly increased risk of obesity. Meanwhile, high social status was significantly associated with a reduction in the risk of hypertension and diabetes. A comprehensive understanding of the associations between SES and noncommunicable diseases could facilitate initiatives that promote healthy lifestyle behaviors, thereby enhancing the holistic well-being of Malaysians. [ABSTRACT FROM AUTHOR]

Background: The evaluation of metabolic syndrome (MetS) is critical among children and adolescents as it can predict cardiovascular disease in adulthood. The TG/HDL-C ratio has the best predictive accuracy among the different lipid ratios. This study aims to evaluate the prevalence and factors associated with a high TG/HDL-C ratio and the predictive accuracy for pediatric MetS. Methods: This is a cross-sectional study of adolescents aged 9–21 to determine the prevalence of and associations between an elevated TG/HDL-C ratio and MetS. A ROC curve analysis was performed to determine the predictive accuracy of TG/HDL-C with MetS. Results: Of the 604 subjects, 29.8% had elevated TG/HDL-C, MetS was identified in 28.2%, and 54.5% were obese. Among patients with MetS, those with obesity were more likely to have an elevated TG/HDL-C ratio compared to those with a normal BMI (64% vs. 14%, p < 0.05). Gender, obesity, ethnicity, and METS are significantly associated with a high TG/HDL-C ratio. TG/HDL-C has a good discriminatory ability to distinguish patients with MetS from those without (AUC 0.65, p < 0.05). Conclusions: The TG/HDL-C ratio was able to distinguish between children and adolescents with MetS. Hence, the TG/HDL-C ratio may be used in the rapid risk assessment of pediatric MetS, especially in those with obesity. [ABSTRACT FROM AUTHOR]

Background: Metabolic syndrome (MetS) is one of the most significant public health issues worldwide, which increases the risk of various diseases. Epidemiological evidence suggests that newer anthropometric measures, such as a body shape index (ABSI) and body roundness index (BRI) can be used to predict MetS. However, anthropometric measures to predict the risk for MetS should be clarified in each population. Therefore, this study aimed to examine the association between ABSI, BRI, and MetS risk factors among overweight and obese Iranian adults. Methods: This cross-sectional study included 347 overweight and obese individuals [body mass index (BMI) > 25 kg/m2] aged 20–50 years in Tabriz, Iran. Anthropometric measures were assessed, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Additionally, ABSI and BRI were calculated based on the collected data. Blood pressure was measured using standard protocols. Body composition also was measured using body impedance analysis (BIA). Enzymatic-colorimetric methods were used to assess serum glucose and lipids, and enzyme-linked immunosorbent assay (ELISA) kits were used to measure insulin levels. Results: Participants with higher ABSI exhibited significantly higher systolic blood pressure (SBP) (P = 0.001), diastolic blood pressure (DBP) (P = 0.010), and triglyceride (TG) levels (P < 0.001), along with significantly lower high-density lipoprotein cholesterol (HDL-C) levels (P < 0.001). In the crude model, individuals in the highest ABSI tertile (tertile 3) had a higher likelihood of having higher SBP (OR: 1.032; 95% CI: 1.014–1.051) and DBP (OR: 1.33; 95% CI: 1.009–1.058), as well as a significant association with lower HDL-C levels (OR: 0.945; 95% CI: 0.918–0.973). Additionally, both ABSI tertile 2 (OR: 1.005; 95% CI: 1.001–1.008) and tertile 3 (OR: 0.993; 95% CI: 1.003–1.011) were linked to a higher likelihood of having higher TG levels. No significant associations were found between BRI tertiles and MetS risk factors. Conclusion: According to our results, ABSI and BRI are poor predictors of MetS risk variables, in overweight and obese individuals. High ABSI is only slightly linked with high SBP, DBP, and TG and low HDL-C. However, longitudinal and long-term investigations are encouraged to verify the efficacy of these two measures. [ABSTRACT FROM AUTHOR]

Background: This study aimed to compare the diagnostic accuracy of four indicators, including waist-to-height ratio (WHTR), vascular adiposity index (VAI), TG/HDL-C, and BMI/HDL-C for metabolic syndrome (MS) in Chinese adults aged 40 years and above. Additionally, the study aimed to develop an efficient diagnostic model displayed by a nomogram based on individual's BMI and circulating HDL-C level. Methods: A cross-sectional study was conducted on 699 participants aged 40 years and above. Quartiles of BMI/HDL-C, TG/HDL-C, VAI, and WHTR were used as independent variables, and metabolic syndrome was used as the dependent variable. Logistic regression was conducted to explore the impact of each parameter on the risk of MS. The areas under the receiver operating characteristics were compared to determine the accuracy of the indicators in diagnosing MS in the participants. Logistic regression was run to construct the nomograms, and the performance of the nomogram was assessed by a calibration curve. Results: MS subjects had higher levels of BMI, BFM, PBF, VFA, AMC, WC, SCR, TG, and insulin, but lower LDH and HDL-C levels than the subjects without MS. The BMI/HDL-C ratio was positively correlated with the prevalence of MS and its components. The final diagnostic model included five variables: gender, BFM, WC, TG, and BMI/HDL-C. The model showed good calibration and discrimination power with an AUC of 0.780. The cut-off value for the nomogram was 0.623 for diagnosing MS. Conclusions: BMI/HDL-C ratio was an independent risk factor for MS in Chinese adults. BMI/HDL-C was significantly correlated with MS and its components. BMI/HDL-C was the most powerful diagnostic indicator compared to other indicators, including TG/HDL-C, VAI and WHTR for diagnosing MS. The nomogram drawn based on the diagnostic model provided a practical tool for diagnosing MS in Chinese adults. [ABSTRACT FROM AUTHOR]

Background: The presence of hypertension significantly increases the risk of diabetes, particularly type 2 diabetes. Recently, Visceral Adiposity Index (VAI) has been introduced as a straightforward and robust alternative indicator for early detection of metabolic syndrome, cardiovascular disease, and T2DM. Visceral adiposity, more dangerous than subcutaneous fat, is associated with metabolic syndrome and cardiovascular diseases. The VAI and Lipid Accumulation Product (LAP) are indices that quantify visceral fat and lipid overaccumulation, respectively. This study aims to explore the association between VAI, LAP, and type 2 diabetes mellitus (T2DM) in US adults with hypertension using NHANES data from 2005 to 2018. Methods: We analyzed data from 5,620 participants with hypertension in The National Health and Nutrition Examination Survey (NHANES). VAI and LAP were calculated using established formulas. The VAI is calculated based on a combination of waist circumference, body mass index (BMI), triglycerides, and high-density lipoprotein (HDL) cholesterol levels. Logistic regression models were applied to evaluate the association between these indices and T2DM, adjusting for potential confounders. Subgroup analyses by age and gender were also conducted to assess variations in risk. Results: In all, 5,620 participants were enrolled in our analysis, with 2,754 (49%) being female, and a mean (standard deviation, SD) age of 57 (15) years. The mean (SD) cumulative average VAI and LAP among all participants was 241 (2.71) and 75 (67), respectively. Totally, higher VAI and LAP indices were significantly associated with an increased risk of T2DM in individuals with hypertension. For VAI, the odds ratios (OR) for T2DM were higher in older adults (≥ 60 years) [95% confidence interval (CI): 1.37, 1.22–1.53, per 1 SD increase] and females [95% confidence interval (CI): 1.39, 1.27–1.52, per 1 SD increase], indicating age and gender differences in risk. Non-linear relationships were observed, suggesting thresholds beyond which the risk of T2DM escalates dramatically. Conclusions: Both VAI and LAP are reliable markers for assessing T2DM risk in individuals with hypertension. Incorporating these indices into clinical practice could enhance the identification of high-risk individuals and facilitate early intervention strategies. Future longitudinal studies are needed to confirm these associations and explore targeted interventions. [ABSTRACT FROM AUTHOR]

Background/Objectives: Studies examining the association between coffee consumption and metabolic syndrome (MetS), considering different coffee types, have reported inconsistent results. We investigated the relationship between coffee consumption and MetS, taking into account coffee types, using data from the Korea National Health and Nutrition Examination Survey conducted from 2016 to 2021 among 14,631 adults aged 19–64 years. Subjects/Methods: We used a 24-h dietary recall method to assess diet, including the type and quantity of coffee consumed. Coffee was categorized into black coffee and coffee with sugar and/or cream (non-drinkers, ≤1, 2–3, and >3 cups/day). Multivariable logistic regression models were utilized to investigate the relationship between coffee consumption and MetS, defined by the harmonized criteria. Results: After adjusting for potential covariates, for women, 2–3 cups/day of black coffee were inversely associated with MetS (OR = 0.66; 95% CI = 0.46–0.96). Three or fewer cups per day of black coffee were inversely associated with low high-density lipoprotein cholesterol (HDL-C) and elevated triglycerides in women. Coffee consumption was not significantly associated with MetS in men. Consumption of coffee with sugar and/or cream or more than three cups per day of coffee was not significantly associated with MetS overall. Conclusion: Our findings suggest that moderate of 2–3 cups/day of black coffee consumption is inversely associated with MetS in women, possibly due to its favorable impact on HDL-C and triglycerides. Further prospective studies examining the consumption of different coffee types in relation to MetS are warranted to offer definitive evidence. [ABSTRACT FROM AUTHOR]

Purpose: Vitamin D has a crucial role in our metabolic health. We aimed to examine associations of vitamin D status and its related dietary pattern (DP) with prevalent risk of metabolic syndrome (MetS) in 9,237 Korean adults aged 19–64 years based on the National Health and Nutrition Examination Survey. Methods: Vitamin D status was examined by serum 25-hydroxyvitamin D (25(OH)D). A vitamin D-related DP associated with 25(OH)D levels was derived using reduced rank regression (RRR). Associations of vitamin D status and its related DP with MetS prevalence were examined using multivariable logistic regression models adjusted for potential confounders. Results: Men with sufficient vitamin D status had a 44% lower risk of MetS prevalence (OR: 0.56; 95%CI: 0.36–0.87) compared to those with deficiency. A vitamin D-related DP derived using RRR was characterized by high intakes of vegetables, fish, fruits, and nuts and low intakes of eggs, oils, and mushrooms in this study population. Among men, the DP was significantly associated with a lower risk of MetS prevalence, showing a 12% (95%CI: 4–20%) reduction in risk for a one-unit increase in the DP score. However, there was no significant association among women. Conclusion: The study's findings suggest that a sufficient vitamin D status and a related DP with high intakes of vegetables, fish, fruit, and nuts were associated with the risk of MetS, particularly in Korean male adults. [ABSTRACT FROM AUTHOR]

Cardiovascular diseases (CVDs) are the leading causes of global mortality. Modifiable behavioural and metabolic risk factors significantly contribute to the burden of CVD. Given the vast socio-demographic and health outcome heterogeneity in Latin America, similar southern Latin American countries (Argentina, Chile, and Uruguay) were analysed as a distinct group to describe the CVD death rates related to metabolic and behavioural risk factors. An ecological study was performed using data from the Global Burden of Disease Study 2019. Metabolic and behavioural risk factors-related CVD death were examined by analysing age-standardised rates per 100,000 individuals in the three countries between 1990 and 2019. While exposure to behavioural risk is decreasing, an upwards trend was observed in metabolic risks. Among the assessed risk factors, metabolic factors emerged as the primary contributors to deaths. High fasting plasma glucose exhibited a remarkable increase in relative importance across most studied contexts. Dietary risks stood out among behavioural factors due to their complexity and substantial changes observed. Although mortality rates have declined for overall CVD, peripheral artery disease mortality is rising. Modifiable behavioural and metabolic risk factors significantly influence CVD mortality in Southern Latin America. Despite the increasing exposure to metabolic risks, advancements in prevention and treatment are evidenced in the decline of mortality rates for most CVD. These findings emphasise the need for targeted interventions and comprehensive strategies to address their impact on cardiovascular health, advocating for healthy lifestyle behaviours to mitigate the progression and CVD development. • What is the cardiovascular disease burden from modifiable behavioural and metabolic risk factors in Southern Latin America? • Metabolic risks drove cardiovascular deaths: blood pressure was most significant and fasting glucose increased the most. • Focused prevention and treatment strategies targeting these factors can enhance life quality and expectancy. [ABSTRACT FROM AUTHOR]

Background: A mismatch between biological and social time, often referred to as social jetlag (SJL), can lead to inadequate sleep and activities or taking meals at times that do not align with our biological rhythms, increasing the risk of metabolic abnormalities. Although the association between sleep and metabolic syndrome (MetS) is well established, the effects of SJL on MetS and the components of MetS in adults remain unclear. Purpose: This study was designed to explore the relationship between SJL and MetS components in adults. Methods: A systematic review and meta-analysis was conducted on studies registered in PubMed, Cochrane, Web of Science, and Embase between the inception of each database until November 15, 2023.We focused on studies designed to evaluate the relationship between SJL and either MetS or its components. Only studies using cross-sectional, prospective, or retrospective designs were considered for inclusion. The relationship between SJL and MetS was depicted as an odds ratio with a corresponding 95% confidence interval (CI). We determined the mean differences and 95% CIs to estimate the associations between SJL and MetS components. The Joanna Briggs Institute Critical Appraisal Checklist was used to evaluate the methodological rigor of the selected studies. Data were analyzed using RevMan software Version 5.4. Results: The systematic review included 16 studies, with five analyzed via a meta-analysis covering four outcomes, each based on two to three studies. When comparing SJL of less than 1 hour with SJL of 2 hours or more, the latter showed a higher likelihood of MetS (pooled odds ratio: 1.52). Although a significant decrease in systolic blood pressure (pooled mean differences = −3.52 mmHg, 95% CI [−6.41, −0.64]) and a significant increase in waist circumference (pooled mean differences = 2.17 cm, 95% CI [0.61, 3.73]) were observed, the correlation between SJL and diastolic blood pressure failed to reach statistical significance. Conclusions/Implications for Practice: The meta-analysis conducted in this study found an association between SJL and MetS. Healthcare practitioners should prioritize the management of sleep quality and duration, especially for individuals exhibiting substantial SJL. Improving sleep can aid in controlling blood pressure and managing weight and should form part of MetS management strategies. [ABSTRACT FROM AUTHOR]

Background: Female healthcare workers have unique occupational stressors and lifestyle factors that may increase their risk of metabolic disorders. This study aimed to investigate the utility of the fatty liver index (FLI) as a predictor of metabolic syndrome among female employees in the healthcare sector. Methods: This cross-sectional study included 450 female healthcare workers aged ≥18 years, employed in various roles at a tertiary healthcare facility in Gujarat. Clinical examination, anthropometric measurements, and biochemical tests were conducted. FLI was calculated, and metabolic syndrome was diagnosed using harmonized criteria. Logistic regression analysis evaluated predictors. Results: T he mean age was 44.2 ± 7.8 years, and the prevalence of metabolic syndrome was 61%. Increasing the FLI category was significantly associated with a worsening metabolic profile. The odds of hypertension, diabetes, metabolic syndrome, and cardiovascular disease progressively increased with higher FLI levels (P < 0.001), denoting a dose-response relationship. FLI demonstrated good diagnostic accuracy for metabolic syndrome with an area under the curve (AUC) of 0.86 (95% CI: 0.81 - 0.89). An FLI cutoff ≥30 provided an optimal balance of sensitivity (71%) and specificity (41%) for predicting metabolic syndrome. Conclusion: FLI demonstrates a strong association with metabolic syndrome and related comorbidities in a dose-dependent manner. FLI can be a simple, low-cost screening tool to identify high metabolic risk individuals in resource-limited settings. [ABSTRACT FROM AUTHOR]

Introduction: Psoriasis is a complex, immune mediated chronic inflammatory disorder that mainly affects the skin, joints, scalp and nails and also various systems of the body. Of the various systems involved, cardiovascular diseases and metabolic syndrome are of major concern due to their increased risk of morbidity and mortality. Objectives: To estimate the prevalence of Metabolic syndrome in female patients with psoriasis. Materials and methods: 52 female psoriatic patients were recruited in the study and various components of metabolic syndrome i.e waist circumference, blood pressure. Serum triglycerides, high density lipoproteins, glucose levels were assessed. Results: In our study on 52 female psoriatic patients, 12 patients (23.07%) had metabolic syndrome. Conclusion: Psoriatic patients are at an increased risk of cardiovascular diseases which should be taken into account while treating psoriasis [ABSTRACT FROM AUTHOR]

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Background: Klotho plays a pivotal role in human aging. Metabolic syndrome (MetS) is composed of multiple conditions that are also risk factors for cardiovascular disease and diabetes. We try to discuss gender-specific differences in Klotho and the associations between Klotho and MetS components. Materials and methods: The National Health and Nutrition Examination Survey database from cycle 2015–2016 was analyzed. MetS was defined according to the 2005 updated criteria by the American Heart Association and National Heart Lung and Blood Institute. Gender-specific differences in serum Klotho, and associations between Klotho level and MetS components were examined. Results: A total of 2475 participants (40–79 years old) with comprehensive data were included (52% women). In general, lower Klotho was associated with advanced age, male sex, tobacco use, elevated triglycerides, renal insufficiency, inflammation, low estradiol, and low sex hormone-binding globulin (SHBG). The correlation between MetS and Klotho was more obvious in women, mainly in waist circumference and triglyceride. There were no gender-specific differences in the associations between Klotho and renal dysfunction, but multivariate linear regression analysis showed gender differences in other factors associated with Klotho. Estradiol, SHBG, high-density lipoprotein cholesterol (HDL), and high-sensitivity C-reactive protein (CRP) were associated with Klotho levels independent of age and renal function in men, whereas in women, Klotho was independently associated with triglycerides and white blood cell count. Conclusion: Klotho levels had gender disparities regardless of age, renal function, and sex hormones. In the current cohort, triglycerides were the major component of MetS that was independently associated with serum Klotho levels, and the association was particularly seen in women. However, HDL was found to be the male-specific MetS component independently associated with Klotho. [ABSTRACT FROM AUTHOR]

Background: Carboxylesterase 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. Methods: This 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. Results: Higher 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. Conclusions: CES1 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) remains a significant global health challenge, contributing to substantial morbidity and mortality rates. Effective strategies for early detection and intervention are crucial in mitigating this burden. Nurse-led surveillance programs offer a promising solution by ensuring adherence to colonoscopy guidelines, thus facilitating timely Identification and management of precancerous polyps. These programs not only enhance patient compliance with screening protocols but also optimize healthcare resource allocation. In Australia, where CRC ranks as the fourth most diagnosed cancer, initiatives like the National Bowel Screening Program underscore the Importance of effective surveillance strategies. Furthermore, adherence to clinical practice guidelines, such as those provided by Cancer Council Australia, guides the frequency and timing of surveillance colonoscopies based on individual risk factors and previous findings. Quality assurance measures, such as standardized bowel preparation and adherence to endoscopy standards, are critical in ensuring the efficacy of surveillance efforts. For special populations, including those with polyposis syndromes or inflammatory bowel disease, tailored surveillance intervals are essential. Moving forward, continued investment in surveillance nursing is essential for improving CRC outcomes and reducing healthcare costs associated with late-stage diagnoses. This abstract highlights the pivotal role of surveillance nursing in the comprehensive management of CRC, emphasizing its potential to enhance patient outcomes and alleviate the societal burden of this prevalent malignancy. [ABSTRACT FROM AUTHOR]

The aim of this study is to assess the changes in metabolic syndrome parameters among adults after the implementation of nutrition education. The research was conducted as a prospective, longitudinal, quasi-experimental evaluation study from May to December 2022. The research sample included 31 employees at the College of Vocational Studies in Subotica. The study was conducted in three phases: Initial assessment (anthropometric, clinical, biochemical measurements and eating habits), Nutrition educations (onloine and face-to-dace) and Evaluative assessment (six months after the initial assessment). Data analysis included methods of descriptive and comparative statistical analysis. Nutrition education was conducted for 31 participants, but only 18 responded to the evaluative assessment. Two thirds (62%) of the participants were overweight ad had elevated cholesterol levels. Elevated triglyceride values were registered in more than a half of the participants and high blood glucose levels in 13% of participants. More than a third of the participants had three or four risk factors for the development of metabolic syndrome. After nutrition education, distribution of participants according io BMI significantly changed (I—normal: 37%; overveigt: 31%; obese:29%; E—normal:10%; overveigt:29%; obese:19%; p = 0,001). Significant changes in the distribution of total cholesterol levels (I: 5.7 mmol/l; E: 5.4 mmol/l) was determined at the evaluative assessment (p = 0.005). Statistically changes in the distribution of breakfast (p = 0.001) and vegetables (p = 0.013) intake were observed. There were not determined significant changes in other antropometric, clinical and biochemical parameters after nutrition education. Although the nutrition education intervention showed some changes in the prevalence of risk factors, significant changes require more intensive, long-term interventions tailored to individual needs. [ABSTRACT FROM AUTHOR]

Background: Promoting prevalence of metabolic syndrome (MetS) in Rheumatoid arthritis (RA) patients might occur secondary to RA therapy as well as sedentary life style. However, conflicting observations have been reported on the correlation between MetS and RA. This study aimed to determine the frequency of MetS and association of its components in RA. Methods: In this study, 500 RA patients and 500 age- and gender-matched healthy controls were enrolled. MetS was fulfilled through the International Diabetes Federation (IDF) criteria. A multivariate regression model was used to control for variables independently associated with the risk of MetS in RA patients. Results: The prevalence of MetS was 58.8% on IDF criteria in RA patients that was higher than controls (20.4%). Higher incidence of cardiovascular disease (CVD), the familial history of CVD, hypertension, type 2 diabetes mellitus (T2DM), smoking, dyslipidemia, and higher levels of body mass index (BMI), waist circumference (WC), total cholesterol level, fasting blood sugar (FBS), triglyceride (TG) level, low-density lipoprotein (LDL) level, while lower levels of high-density lipoprotein (HDL) were associated with an increased risk of MetS in RA patients. Multivariate regression analysis indicated that age, WC, dyslipidemia, LDL, and DAS28 were independent predictors of MetS in the RA patients. Conclusions: The prevalence of MetS is higher in RA patients. Our findings suggest an association between cardiovascular risk factors and the increased prevalence of MetS in RA patients. [ABSTRACT FROM AUTHOR]

Background: Numerous studies have revealed the role of dietary fatty acids in human health. However, few studies have evaluated dietary fatty acid patterns and their association with metabolic parameters. The current study aimed to explore the association between dietary fatty acid patterns and risk factors for metabolic syndrome (MetS) among overweight and obese adults. Methods: This cross-sectional study involved 340 participants who were overweight or obese. The study included assessments of body composition and anthropometric measurements. Dietary fatty acid consumption was evaluated using a validated Food Frequency Questionnaire (FFQ) containing 168 items. Additionally, biochemical parameters, including serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), fasting serum glucose (FSG), and insulin levels, were measured using enzymatic methods. Fatty acid patterns were determined by principal component analysis (PCA), and the association between these dietary FA patterns and risk factors related to MetS components was assessed using logistic regression. Results: Factor analysis conducted in this study explored three dietary fatty acid patterns: saturated fatty acids (SFA), polyunsaturated fatty acids (PUFA), and long-chain combined fatty acids (LC-CFA). Those at the highest tertile of the SFA pattern had lower diastolic blood pressure (DBP) (P = 0.03). Low-density lipoprotein cholesterol (LDL) was lower in the second and third tertiles (P ≤ 0.05). Also, higher fasting blood glucose (FBS) was observed in the second and third tertiles (P < 0.05), and the homeostatic model assessment of insulin resistance (HOMA-IR) was higher in the third tertile (P = 0.049). In the PUFA pattern, FBS was lower in the third tertile (P = 0.03). In the LC-CFA pattern, lower TC was achieved in higher tertiles (P = 0.04). Conclusion: Our findings demonstrated that consuming high and moderate SFA patterns is associated with higher FBS and HOMA-IR. Also, increased consumption of SCFAs is related to lower DPB and LDL. Individuals who consumed more PUFA, especially linoleic acid, had lower FBS. These outcomes might be beneficial in managing MetS and leading to a new field of research. [ABSTRACT FROM AUTHOR]

Emerging scientific studies have supported the hypothesis that exposure to environmental chemicals increases the incidence of diverse human metabolic disorders. Therefore, this study aimed to evaluate the association between fluoride exposure and metabolic syndrome (MetS) prevalence in people from the Central Region of Mexico. This research included 575 adult individuals. Urinary fluoride concentrations were determined using a potentiometric method. Anthropometric measurements and blood pressure were also acquired. Serum fasting glucose and lipid levels were quantified. For the MetS screening, we used the International Diabetes Federation (IDF) and National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. The mean urinary fluoride levels were 3.50 ± 2.50 mg/L. The prevalence of MetS was approximately 27 and 25% according to NCEP ATP III and IDF criteria, respectively. A multivariate logistic regression analysis showed significant associations (p < 0.05) between urinary fluoride concentrations and MetS occurrence using NCEP ATP III criteria (OR = 1.60; 95% CI 1.05–2.10) and IDF criteria (OR = 1.35; 95% CI 0.95–1.45). These findings emphasize the need to discover the underlying mechanisms that fluoride exposure has on MetS pathogenesis. [ABSTRACT FROM AUTHOR]

Background: This prospective cohort study aimed to investigate the association between ultra-processed food (UPF) and the risk of metabolic syndrome (MetS), as well as to assess whether fruit and vegetable intake and weight change modify this association. Methods: We included 1915 healthy participants who participated in the Tehran Lipid and Glucose Study (TLGS), all of whom had complete demographic, anthropometric, and dietary measurements. A validated food frequency questionnaire was used to assess UPF consumption based on the NOVA classification system. MetS was defined according to the Joint Interim Statement. Multivariable adjusted Cox regression was used to estimate hazard ratios (HRs) for MetS events across tertiles of UPF. The effect of fruit and vegetable consumption and weight change on this association was assessed using joint classification by Cox regression. Results: UFP consumption showed no association with MetS risk after adjusting for confounders. However, after adjustment for dietary fiber, fruits, and vegetables, the highest tertile of UPF consumption was positively linked to MetS risk, compared to the lowest tertile. There was a significant interaction between fruit, vegetable, and dietary fiber intake and UPF consumption concerning the risk of MetS (All P values < 0.05). Among individuals consuming less than 248 g/day of fruit, the risk of MetS increased by 54% (confidence interval: 1.13–2.10) in the highest UPF tertile. Consuming vegetables and dietary fiber below the median (258 g/day and 42.2 g/day, respectively) increased the risk of MetS in the third tertile of UPF. However, consuming vegetables and fiber ≥ median intake, reduced the risk of MetS among those with the lowest UPF consumption. Furthermore, the risk of MetS was observed in the third tertile of UPF consumption among individuals with fruit and vegetable consumption < 537 g/day. UPF consumption was not associated with the risk of MetS in different weight change statuses. Conclusions: Consuming more fruits and vegetables mitigated the adverse effect of UPF on the risk of developing MetS. [ABSTRACT FROM AUTHOR]

Summary: Background and Objectives: This study aimed to examine the associations between breastfeeding duration and metabolic syndrome (MetS) in adolescents and to further investigate the role of birth weight for gestational age (GA) on these associations. Methods: A total of 10 275 participants aged 7 to 18 years were included applying multistage cluster random sampling from a Chinese national survey. Birth weight was classified into small for GA (SGA), appropriate for GA (AGA) and large for GA (LGA). Information was collected through a self‐administered questionnaire, physical examination and blood biochemical examination. Multivariable linear regression, logistic regression models, restricted cubic spline models were applied to assess the relationships of breastfeeding duration and MetS with different birth weight for GA. Results: The prevalence of non‐breastfeeding, 0–5, 6–12 and >12 months groups were 16.2%, 23.1%, 42.5% and 18.2%, and the prevalence of SGA and LGA was 11.9% and 12.7%, respectively. Prolonged breastfeeding duration was associated with higher odds of MetS (β: 0.08, 95% CI: 0.03, 0.13), WC (β: 3.49, 95% CI: 2.82, 4.16) and SBP (β: 2.34, 95% CI: 1.80, 2.89). SGA and prolonged breastfeeding synergistically increased MetS risks, but LGA appeared to offset the adverse effects of prolonged breastfeeding. Conclusion: Prolonged breastfeeding may increase children's MetS risks. SGA synergies with prolonged breastfeeding increased MetS burden in children and adolescents, while LGA mitigated the risks. This reminds us that intensive attention should be paid to both early birth weight and subsequent living environment for children and adolescents' lifelong health. [ABSTRACT FROM AUTHOR]

Aging is a multifaceted process impacting cells, tissues, organs, and organ systems of the body. Like other systems, aging affects both the adaptive and the innate components of the immune system, a phenomenon known as immunosenescence. The deregulation of the immune system puts elderly individuals at higher risk of infection, lower response to vaccines, and increased incidence of cancer. In the Western world, overnutrition has increased the incidence of obesity (linked with chronic inflammation) which increases the risk of metabolic syndrome, cardiovascular disease, and cancer. Aging is also associated with inflammaging a sterile chronic inflammation that predisposes individuals to age‐associated disease. Genetic manipulation of the nutrient‐sensing pathway, fasting, and calorie restriction (CR) has been shown to increase the lifespan of model organisms. As well in humans, fasting and CR have also been shown to improve different health parameters. Yet the direct effect of fasting and CR on the aging immune system needs to be further explored. Identifying the effect of fasting and CR on the immune system and how it modulates different parameters of immunosenescence could be important in designing pharmacological or nutritional interventions that slow or revert immunosenescence and strengthen the immune system of elderly individuals. Furthermore, clinical intervention can also be planned, by incorporating fasting or CR with medication, chemotherapy, and vaccination regimes. This review discusses age‐associated changes in the immune system and how these changes are modified by fasting and CR which add information on interventions that promote healthy aging and longevity in the growing aging population. [ABSTRACT FROM AUTHOR]

To investigate the metabolomic mechanisms by which changes in cardiorespiratory fitness (CRF) levels affect metabolic syndrome (MetS) risk factors and to provide a theoretical basis for the improvement of body metabolism via CRF in people with MetS risk factors, a comparative blood metabolomics study of individuals with varying levels of CRF and varying degrees of risk factors for MetS was conducted. Methods: Ninety subjects between the ages of 40 and 45 were enrolled, and they were categorized into low-MetS (LM ≤ two items) and high MetS (HM > three items) groups, as well as low- and high-CRF (LC, HC) and LCLM, LCLM, LCHM, and HCHM groups. Plasma was taken from the early morning abdominal venous blood. LC-MS was conducted using untargeted metabolomics technology, and the data were statistically and graphically evaluated using SPSS26.0 and R language. Results: (1) There were eight common differential metabolites in the HC vs. LC group as follows: methionine (↓), γ-aminobutyric acid (↑), 2-oxoglutatic acid (↑), arginine (↑), serine (↑), cis-aconitic acid (↑), glutamine (↓), and valine (↓); the HM vs. LM group are contrast. (2) In the HCHM vs. LCLM group, trends were observed in 2-oxoglutatic acid (↑), arginine (↑), serine (↑), cis-aconitic acid (↑), glutamine (↓), and valine (↓). (3) CRF and MetS risk factors jointly affect biological metabolic pathways such as arginine biosynthesis, TCA cycle, cysteine and methionine metabolism, glycine, serine, and threonine metabolism, arginine and proline metabolism, and alanine, aspartate, and glutamate metabolism. Conclusion: The eight common differential metabolites can serve as potential biomarkers for distinguishing individuals with different CRF levels and varying degrees of MetS risk factors. Increasing CRF levels may potentially mitigate MetS risk factors, as higher CRF levels are associated with reduced MetS risk. [ABSTRACT FROM AUTHOR]