Two researchers independently assessed studies published up to February 5, 2023, across PubMed, Web of Science, Embase, and Cochrane Library, to investigate the associations of sleep traits with cardiometabolic risk factors, as well as with cardiovascular diseases. Fourteen systematic reviews consisting of 23 meta-analyses, and 11 Mendelian randomization (MR) studies were included in this study. Short sleep duration was associated with a higher risk of obesity, type 2 diabetes (T2D), hypertension, stroke, and coronary heart disease (CHD) in observational studies, while a causal role was only demonstrated in obesity, hypertension, and CHD by MR. Similarly, long sleep duration showed connections with a higher risk of obesity, T2D, hypertension, stroke, and CHD in observational studies, none was supported by MR analysis. Both observational and MR studies indicated heightened risks of hypertension, stroke, and CHD in relation to insomnia. Napping was linked to elevated risks of T2D and CHD in observational studies, with MR analysis confirming a causal role in T2D. Additionally, snoring was correlated with increased risks of stroke and CHD in both observational and MR studies. This work consolidates existing evidence on a causal relationship between sleep characteristics and cardiometabolic risk factors, as well as cardiovascular diseases.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is widespread worldwide, and a strong link between MASLD and cardiometabolic risk factors (CMRFs) was emphasized.
OBJECTIVE: This study characterized the prevalence of MASLD in adolescent population and overlapping CMRFs conditions in MASLD.
METHODS: This is a cross-sectional study of US adolescents aged 12--19 years in the 2017-2020 cycles of the National Health and Nutrition Examination Survey. The relationship between CMRFs and liver steatosis, evaluated by the median controlled attenuation parameter (CAP), was assessed.
RESULTS: The prevalence of MASLD in adolescents was 23.77%. Isolated overweight/obesity (35%) was the top CMRF. Non-Hispanic Black patients had the highest proportion of overweight/obesity plus elevated glucose (24%), while non-Hispanic Asian had the highest burden of dyslipidemia (2%, 14%, and 19%). Except hypertension, overweight/obesity (β=48.7; 95% CI, 43.4-54.0), hypertriglyceridemia (β=15.5; 95% CI, 7.2-28.3), low HDL-C (β=10.0; 95% CI, 3.1-16.9), elevated glucose (β=6.9; 95% CI, 0.6-13.2) were all significantly associated with increased CAP values. Increased CAP was linked to the synergistic interactions between overweight/obesity and dyslipidemia or elevated glucose (overweight/obesity and elevated glucose: RERI=8.21, AP=0.45, SI=1.91; overweight/obesity and hypertriglyceridemia: RERI=19.00, AP=0.69, SI=3.53; overweight/obesity and low HDL-C: RERI=10.83, AP=0.58, SI=2.61). Adolescents with combination of overweight/obesity, dyslipidemia (β=15.1; 95% CI, 0.1-30.2) and combination of overweight/obesity, dyslipidemia and elevated glucose (β=48.0; 95% CI, 23.3-72.6) had a significantly higher CAP values.
CONCLUSIONS: The prevalence of MASLD was alarmingly high in adolescents, and overweight/obesity was the most important CMRF. Overweight/obesity and dyslipidemia or elevated glucose had positive additive interaction effects on liver steatosis.

BACKGROUND: Cardiometabolic diseases are a major global health concern. This study aims to identify areas for targeted interventions and investigate the impact of socioeconomic status and lifestyle as a potential mediator in the context of the US.
METHODS: Our study analyzed data from the Health Information National Trends Survey 5, a nationwide survey by the National Cancer Institute. Using standardized scales and questions, we examined cardiometabolic disease outcomes, lifestyle factors, and socioeconomic status of non-institutionalized civilians aged 18 + in the US. We analyzed the data using structural equation modelling.
RESULTS: Our findings show that socioeconomic status and lifestyle significantly predict cardiometabolic disease outcomes. However, our analysis did not support lifestyle as the primary mediating factor in the association between socioeconomic status and cardiometabolic diseases, suggesting that other factors may significantly influence this relationship.
CONCLUSIONS: Cardiometabolic diseases require lifestyle and structural interventions addressing socioeconomic factors. Policymakers must consider multifaceted factors to prevent, detect, and manage these diseases effectively and equitably.

BACKGROUND: Although triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance and cardiometabolic disease, its effectiveness in predicting mortality risk has not been adequately validated. We aimed to investigate the association between the TyG-related indices and all-cause and cause-specific mortality in the general population.
METHODS: A total of 27,642 individuals were included from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. Three indicators were constructed, including the TyG index, TyG combined with waist-to-height ratio (TyG-WHtR), and TyG combined with waist circumference (TyG-WC). Mortality data was acquired through the linkage of NHANES data with National Death Index records. Weighted Cox proportional hazards models were used to estimate the independent association between the TyG-related indices and mortality. Nonlinear associations were explored using restricted cubic splines.
RESULTS: Multivariable adjusted models showed a progressive increase in all-cause and cause-specific mortality across quartiles of the TyG-related indices. Compared with the lowest quartile of the TyG index, the highest quartile had adjusted hazard ratios of 1.26 (95% CI 1.04-1.52) for all-cause mortality, 1.38 (1.04-1.74) for cardiovascular mortality, and 1.23 (1.01-1.50) for non-cardiovascular mortality, respectively. For the TyG-WHtR index, the corresponding hazard ratios were 1.60 (1.25-2.05), 1.86 (1.26-2.50), and 1.48 (1.10-1.99), respectively. For the TyG-WC index, the corresponding hazard ratios were 1.42 (1.11-1.75), 1.48 (1.04-1.96), and 1.38 (1.05-1.72), respectively. The associations between the three TyG-related indices and all-cause, cardiovascular and non-cardiovascular mortality were J-shaped. Interaction tests revealed significant effect modification by age, low-density lipoprotein cholesterol (LDL-C) level, and statin use (all P values < 0.05).
CONCLUSIONS: The TyG-related indices were independent predictors of all-cause and cause-specific mortality in the general population. Young individuals should be particularly vigilant, whereas low LDL-C levels and statin use are potentially protective.

Objective: To investigate the predictive value of neck circumference on cardiometabolic risk in children. Methods: This was a cross-sectional study of natural sources. As the prediction cohort, clinical data were collected from 3 443 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children\'s Hospital of Nanjing Medical University from July 2021 to September 2022. As the validation cohort for external validation, clinical data were collected from 604 children aged 5-14 years who underwent physical examination in the Department of Child Healthcare, Children\'s Hospital of Nanjing Medical University from October 2022 to March 2023. Height, weight, neck circumference, waist circumference and body composition were measured in both groups, and body mass index, neck circumference to height ratio (NHtR), waist circumference to height ratio, body fat percentage and skeletal muscle percentage were calculated. Systolic blood pressure, diastolic blood pressure, fasting blood glucose, blood lipid and uric acid and other cardiovascular and metabolic risk indicators were collected in both groups. The prediction cohort was further stratified into clustered and non-clustered groups based on the clustering of cardiometabolic risk factors (CCRF). Various variables between these 2 groups were compared using the Mann-Whitney U test. Pearson correlation and binary Logistic regression were conducted to investigate the correlations between neck circumference and cardiovascular metabolic risk factors. The accuracy of NHtR in predicting the CCRF was evaluated using the area under the curve (AUC) of receiver operating characteristic (ROC). The cutoff value was determined using the Youden index. The validation cohort was then divided into groups above and below the cutoff value, and the detection rate of CCRF between the 2 groups was compared using the χ2 test for validation. Results: In the prediction cohort of 3 443 children (2 316 boys and 1 127 girls), 1 395 (40.5%) children were overweight or obese, and 1 157 (33.6%) children had CCRF. Pearson correlation analysis revealed all significant positive correlations (all P<0.01) between neck circumference and systolic blood pressure (r=0.47, 0.39), diastolic blood pressure (r=0.27, 0.21), uric acid (r=0.36, 0.30), and triglycerides (r=0.20, 0.20) after adjusting for age in both males and females. Among both males and females, neck circumference both showed significant negative correlation (both P<0.01) with high-density lipoprotein cholesterol (r=-0.27, -0.28), and no correlation with fasting glucose levels (r=0.03, -0.03, both P>0.05). After adjusting for gender, age, and body fat percentage, increased body mass index, neck circumference, or waist circumference increased the risks of hypertension (OR=1.23, 1.39, 1.07, all P<0.001), hyperuricemia (OR=1.16, 1.23, 1.05, all P<0.001), hypertriglyceridemia (OR=1.08, 1.16, 1.02, all P<0.01), low high-density lipoprotein cholesterol (OR=1.10, 1.27, 1.03, all P<0.01), and the CCRF (OR=1.51, 1.73, 1.15, all P<0.01). The areas under the ROC curves of NHtR in predicting CCRF was 0.73, with sensitivity and specificity at 0.66 and 0.71, respectively. The corresponding optimal cut-off value was 0.21. Validation with 604 children confirmed that the detection of CCRF in the NHtR≥0.21 group was 3.29 times (60.5% (112/185) vs. 18.7% (79/422),χ2=107.82, P<0.01) higher compared to the NHtR <0.21 group. Conclusions: Neck circumference is associated with cardiovascular metabolic risks such as hypertension, hyperlipidemia, hyperglycemia, and hyperuricemia in children. When the NHtR is ≥0.21, there is an increased likelihood of CCRF.
目的： 探讨儿童颈围对心血管代谢风险的预测价值。 方法： 自然来源的横断面研究，选取 2021年7月至2022年9月在南京医科大学附属儿童医院儿童保健门诊健康体检的3 443名5~14岁儿童作为预测组，选取2022年10月至2023年3月在南京医科大学附属儿童医院儿童保健门诊健康体检的604名5~14岁儿童作为验证组。两组儿童均测量身高、体重、颈围、腰围及体成分，并计算体质指数、颈围身高比、腰围身高比、体脂百分比和骨骼肌百分比，收集收缩压、舒张压、空腹血糖、血脂及尿酸等心血管代谢风险指标。根据心血管代谢危险因素的聚集（CCRF）情况将预测组分为CCRF组及非CCRF组，采用Mann-Whitney U检验比较各变量在两组之间的差异；应用Pearson分析、二元Logistic回归进行颈围与儿童心血管代谢危险因素之间的相关分析，以受试者工作特征曲线的曲线下面积（AUC）评估颈围身高比预测CCRF的准确性，并通过计算约登指数确定其截断值。根据确定的截断值将验证组分组，采用χ2检验进行组间比较、验证。 结果： 3 443名预测组儿童中男2 316名、女1 127名，超重和肥胖儿童1 395名（40.5%），CCRF组1 157名（33.6%）。男、女童在校正年龄后颈围与收缩压（r=0.47、0.39）、舒张压（r=0.27、0.21）、尿酸（r=0.36、0.30）及甘油三酯（r=0.20、0.20）均呈正相关（均P<0.01），与高密度脂蛋白胆固醇（r=-0.27、-0.28）均呈负相关（均P<0.01），与空腹葡萄糖（r=0.03、-0.03）之间均无相关性（均P>0.05）。校正性别、年龄及体脂百分比后，体质指数、颈围及腰围均是高血压（OR=1.23、1.39、1.07，均P<0.001）、高尿酸血症（OR=1.16、1.23、1.05，均P<0.001）、高甘油三酯（OR=1.08、1.16、1.02，均P<0.001）、低高密度脂蛋白胆固醇（OR=1.10、1.27、1.03，均P<0.01）及CCRF（OR=1.51、1.73、1.15，均P<0.001）的危险因素。颈围身高比预测CCRF的AUC为0.73，灵敏度和特异度分别为0.66及0.71，其相对应的最佳截断值为0.21。验证604名儿童，颈围身高比≥0.21组CCRF检出率是颈围身高比<0.21组的3.29倍［60.5%（112/185）比18.7%（79/422），χ2=107.82，P<0.01］。 结论： 颈围与儿童高血压、高血脂、高血糖及高尿酸血症等多种心血管代谢风险相关，当颈围身高比≥0.21时，容易出现CCRF现象。.

BACKGROUND: Education, cognition, and intelligence are associated with cholelithiasis occurrence, yet which one has a prominent effect on cholelithiasis and which cardiometabolic risk factors mediate the causal relationship remain unelucidated.
OBJECTIVE: To explore the causal associations between education, cognition, and intelligence and cholelithiasis, and the cardiometabolic risk factors that mediate the associations.
METHODS: Applying genome-wide association study summary statistics of primarily European individuals, we utilized two-sample multivariable Mendelian randomization to estimate the independent effects of education, intelligence, and cognition on cholelithiasis and cholecystitis (FinnGen study, 37041 and 11632 patients, respectively; n = 486484 participants) and performed two-step Mendelian randomization to evaluate 21 potential mediators and their mediating effects on the relationships between each exposure and cholelithiasis.
RESULTS: Inverse variance weighted Mendelian randomization results from the FinnGen consortium showed that genetically higher education, cognition, or intelligence were not independently associated with cholelithiasis and cholecystitis; when adjusted for cholelithiasis, higher education still presented an inverse effect on cholecystitis [odds ratio: 0.292 (95%CI: 0.171-0.501)], which could not be induced by cognition or intelligence. Five out of 21 cardiometabolic risk factors were perceived as mediators of the association between education and cholelithiasis, including body mass index (20.84%), body fat percentage (40.3%), waist circumference (44.4%), waist-to-hip ratio (32.9%), and time spent watching television (41.6%), while time spent watching television was also a mediator from cognition (20.4%) and intelligence to cholelithiasis (28.4%). All results were robust to sensitivity analyses.
CONCLUSIONS: Education, cognition, and intelligence all play crucial roles in the development of cholelithiasis, and several cardiometabolic mediators have been identified for prevention of cholelithiasis due to defects in each exposure.

OBJECTIVE: This study aimed to evaluate the relationships of separate and mixed exposure of neonicotinoids on cardiometabolic risk at baseline and follow-up and its change over 3 years, and further explore whether inflammatory markers levels and platelet traits (PLT) mediate these relationships.
METHODS: In this prospective cohort study from the Henan Rural Cohort Study, 2315 participants were involved at baseline, and 1841 participants completed cardiometabolic risk predictors determinations during the 3-year follow-up. Each neonicotinoid pesticide was normalized to imidacloprid (IMIeq) using the relative potency factor approach. Quantile-based g-computation (Qgcomp) regression was used to evaluate the effect of the mixtures of neonicotinoids mediation analysis was employed to explore whether inflammatory markers levels and platelet traits mediated these relationships. A two-sample mendelian randomization (MR) study was further used to causal association.
RESULTS: Qgcomp regression revealed a statistically positive relationship between neonicotinoids mixture exposure and cardiometabolic risk score at baseline and follow-up over 3 years. Both neutrophils/monocytes and PLT were mediators in the relationship between IMIeq and cardiometabolic risk score at baseline and follow-up over 3 years. The causal risk effect of pesticide exposure were 2.50 (0.05, 4.95) and 5.24 (1.28, 9.19) for cardiometabolic risk indicators including insulin resistance and triglyceride, respectively. Nevertheless, there was no correlation discovered between pesticide exposure and other markers of cardiometabolic risk.
CONCLUSIONS: Neonicotinoid insecticides exposure was connected to an increased cardiometabolic risk, especially in individuals with T2DM. Furthermore, inflammatory markers and PLT seem to be two vital mediators of these associations. Additionally, genetic evidence on pesticide exposure and cardiometabolic risk still needs to be validated by multiregional and multiethnic GWAS studies.

BACKGROUND: Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility underlying these associations remains unexplored. We aimed to examine how metabolic status, metabolic transitions, and genetic susceptibility collectively impact cardiovascular outcomes and all-cause mortality across diverse body mass index (BMI) categories.
METHODS: In our analysis of the UK Biobank, we included a total of 481,576 participants (mean age: 56.55; male: 45.9%) at baseline. Metabolically healthy (MH) status was defined by the presence of < 3 abnormal components (waist circumstance, blood pressure, blood glucose, triglycerides, and high-density lipoprotein cholesterol). Normal weight, overweight, and obesity were defined as 18.5 ≤ BMI < 25 kg/m2, 25 ≤ BMI < 30 kg/m2, and BMI ≥ 30 kg/m2, respectively. Genetic predisposition was estimated using the polygenic risk score (PRS). Cox regressions were performed to evaluate the associations of metabolic status, metabolic transitions, and PRS with cardiovascular outcomes and all-cause mortality across BMI categories.
RESULTS: During a median follow-up of 14.38 years, 31,883 (7.3%) all-cause deaths, 8133 (1.8%) cardiovascular disease (CVD) deaths, and 67,260 (14.8%) CVD cases were documented. Among those with a high PRS, individuals classified as metabolically healthy overweight had the lowest risk of all-cause mortality (hazard ratios [HR] 0.70; 95% confidence interval [CI] 0.65, 0.76) and CVD mortality (HR 0.57; 95% CI 0.50, 0.64) compared to those who were metabolically unhealthy obesity, with the beneficial associations appearing to be greater in the moderate and low PRS groups. Individuals who were metabolically healthy normal weight had the lowest risk of CVD morbidity (HR 0.54; 95% CI 0.51, 0.57). Furthermore, the inverse associations of metabolic status and PRS with cardiovascular outcomes and all-cause mortality across BMI categories were more pronounced among individuals younger than 65 years (Pinteraction < 0.05). Additionally, the combined protective effects of metabolic transitions and PRS on these outcomes among BMI categories were observed.
CONCLUSIONS: MH status and a low PRS are associated with a lower risk of adverse cardiovascular outcomes and all-cause mortality across all BMI categories. This protective effect is particularly pronounced in individuals younger than 65 years. Further research is required to confirm these findings in diverse populations and to investigate the underlying mechanisms involved.

Non-alcoholic fatty liver disease (NAFLD) is a common concomitant disease in adults with type 2 diabetes mellitus (T2DM) and prediabetes. Therefore, T2DM/NAFLD patient populations are at high risk for cardiovascular disease. The occurrence and progression of non-alcoholic fatty liver disease-related liver fibrosis and cardiovascular disease have a severe impact on the patient\'s prognosis and mortality rate. The American Diabetes Association\'s 2024 \"Guidelines for the Standardized Management of Diabetes\" put forward recommendations relevant to the screening, evaluation, treatment, and management of NAFLD in T2DM and prediabetic populations, as well as liver fibrosis. The important measures for decelerating liver inflammation and fibrosis progression and the risk of cardiovascular disease are based on improvements in lifestyle methods, weight loss, and blood sugar control.
非酒精性脂肪性肝病（NAFLD）为成人2型糖尿病（T2DM）及糖尿病前期常见伴发疾病，T2DM/NAFLD患者为心血管疾病的高危人群，NAFLD及其相关肝纤维化的发生和发展、心血管疾病及其相关死亡严重影响患者预后。2024年美国糖尿病学会《糖尿病标准化管理指南》针对T2DM及糖尿病前期人群NAFLD，以及肝纤维化的筛查、评估、治疗及管理提出相关建议。在改善生活方式基础上，减重、控制血糖是减缓肝脏炎症及肝纤维化进展、降低心血管疾病风险的重要措施。.

BACKGROUND: The association between soy isoflavones intake and cardiometabolic health remains inconclusive. We investigated the associations of urinary biomarkers of isoflavones including daidzein, glycitein, genistein, equol (a gut microbial metabolite of daidzein), and equol-predicting microbial species with cardiometabolic risk markers.
RESULTS: In a 1-year study of 305 Chinese community-dwelling adults aged ≥18 years, urinary isoflavones, fecal microbiota, blood pressure, blood glucose and lipids, and anthropometric data were measured twice, 1 year apart. Brachial-ankle pulse wave velocity was also measured after 1 year. A linear mixed-effects model was used to analyze repeated measurements. Logistic regression was used to calculate the adjusted odds ratio (aOR) and 95% CI for the associations for arterial stiffness. Each 1 μg/g creatinine increase in urinary equol concentrations was associated with 1.47%, 0.96%, and 3.32% decrease in triglycerides, plasma atherogenic index, and metabolic syndrome score, respectively (all P<0.05), and 0.61% increase in high-density lipoprotein cholesterol (P=0.025). Urinary equol was also associated with lower risk of arterial stiffness (aOR, 0.28 [95% CI, 0.09-0.90]; Ptrend=0.036). We identified 21 bacterial genera whose relative abundance was positively associated with urinary equol (false discovery rate-corrected P<0.05) and constructed a microbial species score to reflect the overall equol-predicting capacity. This score (per 1-point increase) was inversely associated with triglycerides (percentage difference=-1.48%), plasma atherogenic index (percentage difference=-0.85%), and the risk of arterial stiffness (aOR, 0.27 [95% CI, 0.08-0.88]; all P<0.05).
CONCLUSIONS: Our findings suggest that urinary equol and equol-predicting microbial species may improve cardiometabolic risk parameters in Chinese adults.