BACKGROUND: The fat-to-muscle mass ratio (FMR), integrating the antagonistic effects of fat and muscle mass, has been suggested as a valuable indicator to assess cardiometabolic health independent of overall adiposity. However, the specific associations of total and regional FMR with cardiometabolic risk are poorly understood. We aimed to examine sex-specific associations of total and regional FMR with single and clustered cardiometabolic risk factors (CRFs).
METHODS: 13,505 participants aged 20 years and above were included in the cross-sectional study. Fat mass and muscle mass were assessed using a bioelectrical impedance analysis device. FMR was estimated as fat mass divided by muscle mass in corresponding body parts (whole body, arm, leg, and trunk). Clustered CRFs was defined as the presence of two or more risk factors, including hypertension, elevated blood glucose, dyslipidemia, insulin resistance (IR), and hyperuricemia. IR was assessed by the triglyceride glucose (TyG) index. Multivariable logistic regression models were applied to explore the associations of FMR in the whole body and body parts with single and clustered CRFs.
RESULTS: The odds ratios (ORs) increased significantly for all single and clustered CRFs with the per quartile increase of total and regional FMR in both sexes (P for trend < 0.001), following adjustment for confounders. Among the regional parts, FMRs of the legs presented the strongest associations for clustered CRFs in both men and women, with adjusted OR of 8.54 (95% confidence interval (CI): 7.12-10.24) and 4.92 (95% CI: 4.24-5.71), respectively. Significant interactions (P for interaction < 0.05) were identified between age and FMRs across different body parts, as well as between BMI status and FMRs in different regions for clustered CRFs. Restricted cubic splines revealed significant non-linear relationships between FMRs of different body parts and clustered CRFs in both sexes (P for nonlinear < 0.05).
CONCLUSIONS: FMRs in the whole body and different regions were significantly associated with single and clustered CRFs in the general Chinese population. The association between FMR and clustered CRFs was more pronounced in youngers than in the elderly.

The aim of this study was to examine the moderating role of cardiorespiratory fitness (CRF) between the relationship of cardiometabolic risk factors and adiponectin in adolescents. This is a cross-sectional study conducted with 255 adolescents of both sexes, aged 11 to 17 years. Anthropometric and biochemical parameters such as body mass, height, fat mass (FM), fat-free mass, high-density lipoprotein, low-density lipoprotein, triglycerides, glucose, insulin, adiponectin, systolic blood pressure, diastolic blood pressure, and peak oxygen consumption (VO2peak) were measured. Body mass index z-score (BMI-z), tri-ponderal mass index (TMI), homeostasis model assessment insulin resistance (HOMA-IR), quantitative insulin sensitivity check index (QUICKI), and age peak height velocity were calculated. The moderation analyses were tested using linear regression models. Interaction was observed with low CRF, indicating that those who achieved more than 2.27 (BMI-z), 2.18 (TMI), 2.10 (FM), 2.57 (insulin), 2.65 (HOMA-IR), and 2.81 (QUICKI) in L·min-1 on the CRF test may experience reduced risks in cardiometabolic risk factors.
CONCLUSIONS: The deleterious effects attributed to excess adiposity and unfavorable changes related to insulin resistance and sensitivity may be attenuated by CRF.
BACKGROUND: • Adiponectin, a protein derived from adipose tissue, may play a role as a potential marker of protection and predictor of cardiometabolic disorders and its relationship with cardiorespiratory fitness is controversial.
BACKGROUND: • The deleterious effects attributed to overweight and unfavorable changes related to insulin resistance and sensitivity may be attenuated by high cardiorespiratory fitness in adolescents.

OBJECTIVE: Body fat distribution plays a significant role in the cardiometabolic consequences of obesity. We review the impact of visceral and hepatic fat and highlight important interventions.
RESULTS: Several epidemiologic studies have established a clear association between visceral fat and cardiovascular disease. The association between hepatic fat and cardiovascular disease is less clear with discordant results. Novel evidence demonstrates sodium glucose co-transporter-2 (SGLT2) inhibitors facilitate modest weight loss and reductions in ectopic fat depots in patient with type 2 diabetes. Glucagon-like peptide-1 (GLP-1) receptor agonists have been associated with decreased visceral/hepatic fat and reductions in MACE in populations with type 2 diabetes and with overweight/obesity. Clear associations between visceral fat and cardiometabolic outcomes have been established, whereas the impact of hepatic fat remains less clear. Lifestyle modification and pharmacologic interventions remain the initial therapies, while surgical intervention is associated with improved long-term outcomes. Emerging therapies have demonstrated a profound impact on body fat distribution and cardiometabolic risk.

Sedentary behavior (SB) is an essential risk factor for obesity, cardiovascular disease, and type 2 diabetes. Though certain levels of physical activity (PA) may attenuate the detrimental effects of SB, the inflammatory and cardiometabolic responses involved are still not fully understood. The focus of this secondary outcome analysis was to describe how light-intensity PA snacks (LIPASs, alternate sitting and standing, walking or standing continuously) compared with uninterrupted prolonged sitting affect inflammatory and cardiometabolic risk markers. Seventeen young adults with overweight and obesity participated in this study (eight females, 23.4 ± 3.3 years, body mass index (BMI) 29.7 ± 3.8 kg/m2, glycated hemoglobin A1C (HbA1c) 5.4 ± 0.3%, body fat 31.8 ± 8.2%). Participants were randomly assigned to the following conditions which were tested during an 8 h simulated workday: uninterrupted prolonged sitting (SIT), alternate sitting and standing (SIT-STAND, 2.5 h total standing time), continuous standing (STAND), and continuous walking (1.6 km/h; WALK). Each condition also included a standardized non-relativized breakfast and lunch. Venous blood samples were obtained in a fasted state at baseline (T0), 1 h after lunch (T1) and 8 h after baseline (T2). Inflammatory and cardiometabolic risk markers included interleukin-6 (IL-6), c-reactive protein (CRP), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TGs), visceral fat area (VFA), triglyceride-glucose (TyG) index, two lipid ratio measures, TG/HDL-C and TC/HDL-C, albumin, amylase (pancreatic), total protein, uric acid, and urea. We found significant changes in a broad range of certain inflammatory and cardiometabolic risk markers during the intervention phase for IL-6 (p = 0.014), TG (p = 0.012), TC (p = 0.017), HDL-C (p = 0.020), LDL-C (p = 0.021), albumin (p = 0.003), total protein (p = 0.021), and uric acid (p = 0.040) in favor of light-intensity walking compared with uninterrupted prolonged sitting, alternate sitting and standing, and continuous standing. We found no significant changes in CRP (p = 0.529), creatinine (p = 0.199), TyG (p = 0.331), and the lipid ratios TG/HDL-C (p = 0.793) and TC/HDL-C (p = 0.221) in response to the PA snack. During a simulated 8 h work environment replacement and interruption of prolonged sitting with light-intensity walking, significant positive effects on certain inflammatory and cardiometabolic risk markers were found in young adults with overweight and obesity.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a prevalent hormonal disorder affecting 5-15% of women of reproductive age, characterized by ovulatory dysfunction, hyperandrogenism, and polycystic ovarian morphology. PCOS is associated with metabolic disturbances such as dyslipidemia, insulin resistance (IR), and an increased risk of type 2 diabetes (T2DM) and cardiovascular disease.
OBJECTIVE: The aim of this study is to apply new anthropometric indices [body adiposity index (BAI), visceral adiposity Index (VAI), lipid accumulation product (LAP), body roundness index (BRI), a body shape index (ABSI)] and new atherogenic indices [Castelli index-I, Castelli index-II, atherogenic risk of plasma (AIP), atherogenic coefficient (AC), lipoprotein combined index (LCI), triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio, metabolic score for insulin resistance (METS-IR), triglyceride glucose (TyG) index, triglyceride glucose-dody mass (TyG-BMI) index, triglyceride glucose-waist circumference (TyG-WC) index] metabolic score of insulin resistance to patients with PCOS.
METHODS: A retrospective analysis was conducted on 248 women diagnosed with PCOS based on the 2003 Rotterdam criteria. Anthropometric measurements, biochemical parameters, and atherogenic indices were collected from patient records. Statistical analyses were performed using Statistical Package for the Social Sciences software version 28.0.
RESULTS: Significant correlations were found between fasting glucose and various anthropometric indices, such as Body mass index (BMI), waist-height ratio (WHtR), and BAI, indicating a link between adiposity and glucose metabolism in PCOS. Atherogenic indices like Castelli\'s risk indices, AIP, and AC showed positive correlations with glucose and insulin levels, reinforcing their role in assessing cardiovascular risk. Novel indices such as METS-IR and TyG demonstrated strong correlations with both glucose and insulin profiles, highlighting their potential as reliable markers for IR and cardiometabolic risk.
CONCLUSIONS: The study underscores the importance of using a range of anthropometric and atherogenic indices for comprehensive metabolic assessment in women with PCOS. Indices like METS-IR and TyG offer valuable insights into insulin sensitivity and cardiovascular risk, potentially aiding in better management and prognosis of PCOS.

OBJECTIVE: To explore the association between maternal thyroid peroxidase antibody (TPOAb) exposure and 5- to 6-year-old children\'s cardiometabolic risk (CMR).
METHODS: A total of 2129 mother-child pairs were recruited from the Ma\'anshan Birth Cohort (MABC) study. Serum TPOAb was retrospectively measured in pregnant women using an electrochemiluminescence immunoassay. CMR score was evaluated by the serum glycolipids, blood pressure, and waist circumference for children aged 5-6 years. Growth mixture modelling was used to fit trajectories of TPOAb levels throughout pregnancy. Multiple linear regression models and logistic regression models were used for statistical analyses.
RESULTS: Two thousand one hundred twenty-nine mother-child pairs (mean [SD] age, 26.6 [3.6] years) were enrolled for the final study. Maternal TPOAb exposure in the first trimester increased children\'s overall CMR, glucose level, HOMA-IR, triglyceride level, boys\' overall CMR, boys\' glucose level, and girls\' glucose level. TPOAb exposure in the first trimester was also associated with lower boys\' high-density lipoprotein cholesterol (HDL-C) level. In the second trimester, maternal TPOAb exposure was positively associated with children\'s triglyceride level. Compared with low TPOAb trajectory, children with high maternal TPOAb trajectory had an increased risk of developing high CMR (OR = 3.40; 95% CI, 1.30-8.90), hyperglycemia (OR = 5.20; 95% CI, 2.20-12.28), insulin-resistance (adjusted OR = 2.12; 95% CI, 1.10-4.07), and hypertriglyceridemia (OR = 2.55; 95% CI, 1.06-6.14).
CONCLUSIONS: The first trimester of pregnancy is a critical period for maternal TPOAb exposure to affect CMR in children, with some sex specificity, mainly to the detriment of boys.

UNASSIGNED: To explore markers that reflect sleep-disordered breathing (SDB) severity and investigate their associations with cardiometabolic risk factors in adolescents and young adults.
UNASSIGNED: Participants were recruited from our SDB epidemiological cohort. They underwent overnight polysomnography and ambulatory blood pressure (BP) monitoring. Complete blood count, ferritin, high-sensitivity C-reactive protein (hs-CRP), fasting blood glucose, and lipid profile were measured. Multiple linear regression was used to examine the association between red cell indices (RCIs), ferritin, and obstructive apnea-hypopnea index (OAHI). Subgroup analyses on participants with SDB were performed for the association of RCIs and ferritin with lipid profile, hs-CRP, and BP.
UNASSIGNED: There were 88 participants with SDB and 155 healthy controls aged 16-25 years. Hemoglobin (Hb; p < .001), hematocrit (HCT; p < .001), and ferritin (p < .001) were elevated with increasing SDB severity and were independently associated with OAHI (β=1.06, p < .001; β=40.2, p < .001; β=4.89 × 10-3, p = .024, respectively). In participants with SDB, after adjusting for age, sex, and BMI, significant associations were found between ferritin with low-density lipoprotein (LDL; β=0.936 × 10-3, p = .008) and triglyceride (TG; β =1.08 × 10-3, p < .001), as well as between Hb (β=1.40, p = .007), HCT (β=51.5, p = .010) and mean arterial pressure (MAP). Ferritin (β=0.091, p = .002), Hb (β=0.975, p = .005), and HCT (β=38.8, p = .004) were associated with hs-CRP independent of age, sex, BMI, plasma LDL, and MAP. OAHI was not associated with LDL and TG in the multivariable models.
UNASSIGNED: Serum ferritin, but not OAHI, was associated with LDL and TG in participants with SDB, suggesting it is a potential marker of cardiometabolic risk in patients with SDB.

BACKGROUND: Metabolic flexibility (MetF), defined as the ability to switch between fat and glucose oxidation, is increasingly recognised as a critical marker for assessing responses to dietary interventions. Previously, we showed that the consumption of multifibre bread improved insulin sensitivity and reduced low-density lipoprotein cholesterol (LDLc) levels in overweight and obese individuals. As a secondary objective, we aimed to explore whether our intervention could also improve MetF.
METHODS: In this study, 39 subjects at cardiometabolic risk participated in a double-blind, randomised, crossover trial lasting 8 weeks, repeated twice. During each phase, participants consumed either 150 g of standard bread daily or bread enriched with a mixture of seven dietary fibres. MetF response was assessed using a mixed-meal tolerance test (MMTT), analysing changes in respiratory quotient (∆RQ) measured using indirect calorimetry.
RESULTS: Although there were no significant differences in ∆RQ changes induced by dietary fibre between the two diets, these changes were positively correlated with postprandial triglyceride excursion (∆TG) at baseline. Subgroup analysis of baseline fasting and postprandial plasma metabolites was conducted to characterise MetF responders. These responders exhibited higher baseline fasting LDLc levels and greater post-MMTT ∆TG.
CONCLUSIONS: In conclusion, although dietary fibres did not directly impact MetF in this study, our findings highlight potential determinants of MetF response, warranting further investigation in dedicated future interventions.

UNASSIGNED: Waist circumference (WC) is a reliable obesity surrogate but may not distinguish between visceral and subcutaneous adipose tissue. Our aim was to develop a novel sex-specific model to estimate the magnitude of visceral adipose tissue measured by computed tomography (CT-VAT).
UNASSIGNED: The model was initially formulated through the integration of anthropometric measurements, laboratory data, and CT-VAT within a study group (n=185), utilizing the Multivariate Adaptive Regression Splines (MARS) methodology. Subsequently, its correlation with CT-VAT was examined in an external validation group (n=50). The accuracy of the new model in estimating increased CT-VAT (>130 cm2) was compared with WC, body mass index (BMI), waist-hip ratio (WHR), visceral adiposity index (VAI), a body shape index (ABSI), lipid accumulation product (LAP), body roundness index (BRI), and metabolic score for visceral fat (METS-VF) in the study group. Additionally, the new model\'s accuracy in identifying metabolic syndrome was evaluated in our Metabolic Healthiness Discovery Cohort (n=430).
UNASSIGNED: The new model comprised WC, gender, BMI, and hip circumference, providing the highest predictive accuracy in estimating increased CT-VAT in men (AUC of 0.96 ± 0.02), outperforming other indices. In women, the AUC was 0.94 ± 0.03, which was significantly higher than that of VAI, WHR, and ABSI but similar to WC, BMI, LAP, BRI, and METS-VF. It\'s demonstrated high ability for identifying metabolic syndrome with an AUC of 0.76 ± 0.03 (p<0.001).
UNASSIGNED: The new model is a valuable indicator of CT-VAT, especially in men, and it exhibits a strong predictive capability for identifying metabolic syndrome.

OBJECTIVE: To examine if insulin resistance is associated with markers of glycemic, cardiometabolic and atherosclerotic risk in non-obese, non-prediabetic individuals compared to insulin sensitive subjects matched for BMI, gender, and age.
METHODS: Of 1860 patients from STOP DIABETES study, 624 had normal fasting plasma glucose, body mass index < 30, and HbA1c < 5.7%. All received oral glucose tolerance test (OGTT). Insulin sensitivity was quantitated using Matsuda index: <25th percentile = Insulin Resistant (IR) (n=151) and ≥ 25th percentile = Insulin Sensitive (IS) (n=473). Measures of dysglycemia and cardiometabolic risk were compared between insulin resistant subjects (n=151) and subset of insulin sensitive individuals who were matched for BMI, gender, age (n=151). Carotid intima media thickness (CIMT) and carotid plaque were measured in 65 IR and 76 IS individuals.
RESULTS: Compared to matched insulin sensitive patients, insulin resistant non-obese subjects demonstrated increased indicators of glycemic and cardiometabolic risk including: increased 60-minute plasma glucose and percentage of patients with 60-minute plasma glucose > 155mg/dL; increased 120-minute plasma glucose; unrecognized impaired glucose tolerance (IGT) and type 2 diabetes (T2D), decreased disposition index; increased systolic and diastolic blood pressure; elevated plasma triglycerides; reduced HDL cholesterol; increased triglyceride/HDL ratio and hs-CRP. The presence, size, and number of carotid plaques was greater in the insulin resistant group.
CONCLUSIONS: Approximately 1 in 4 non-obese patients in this population with normal fasting glucose and HbA1c were insulin resistant. In these non-obese subjects, insulin resistance was associated with multiple indicators of dysglycemia and cardiometabolic risk.