Cardiometabolic Indicators Research Articles

Association between periodontitis and cardiometabolic index (CMI): a study from NHANES 2009–2014

AbstractCardiometabolic index (CMI) is a novel anthropometric metric that integrates lipid and adiposity characteristics. The correlation between periodontitis development and CMI is ambiguous. The objective of this study was to establish the association between CMI and periodontitis by analyzing data from the NHANES (National Health and Nutrition Examination Survey) database. A cross-sectional study was conducted on a cohort of 6188 people selected from the NHANES database, covering the period from 2009 to 2014. The study employed multivariate logistic regression to examine the independent correlation between CMI and periodontitis. Subgroup data were analyzed and interaction tests were conducted to assess the impact of variables on the correlation between CMI and periodontitis. The CMI index was significantly and positively associated with the presence of periodontitis (β = 0.03, 95%CI(0.01, 0.05), p = 0.0092). In addition, a U-shaped relationship was found between CMI index and periodontitis severity in an older American population (65 < = age < = 80, with a folding point of 1.44, p = 0.008). This study demonstrates a significant correlation between CMI and periodontitis, positioning CMI as a crucial indicator for assessing periodontal health. Future efforts should prioritize oral hygiene interventions for patients with elevated CMI levels to facilitate early intervention and enhance overall health outcomes.

Correlation between cardiometabolic index and female infertility: a cross-sectional analysis.

Obesity and adverse lipid profile leads to female infertility. The cardiometabolic index (CMI) is a promising indicator for predicting obesity-related diseases. The correlation between CMI and female infertility merits further investigation. The data for this study were acquired from the 2013-2020 National Health and Nutrition Examination Survey (NHANES), with 2333 women enrolled. The cardiometabolic index (CMI) of each participant was calculated as the ratio of triglycerides and high-density lipoprotein cholesterol multiplied by waist-to-height ratio. Weighted multivariate logistic regression models were used to assess the independent correlation between the log-transformed CMI and infertility. Subgroup analyses were carried out to assess the reliability of the findings. Interaction tests were employed to determine whether variables affected infertility by interacting with log CMI. A total of 2333 participants aged 18-45 years were enrolled, 274 of whom were infertile. Log CMI of the infertility group was significantly higher than that of the non-infertility group (P < 0.001). After adjustment for potential confounders, women with higher CMI were at an increased risk of infertility (OR = 2.411, 95% CI: 1.416-4.112), and this correlation was still consistent in subgroups aged under 35 years (P < 0.001). Furthermore, restricted cubic spline analysis showed a positive non-linear relationship between log CMI and infertility. Cardiometabolic index levels are positively correlated with increased risk of infertility in American females. Our study demonstrates the predictive capacity of CMI for female infertility.

Effects of Fermented Kimchi Consumption on Anthropometric and Blood Cardiometabolic Indicators: A Systematic Review and Meta-Analysis of Intervention Studies and Prospective Cohort Studies.

Increasing global kimchi consumption has prompted interest in its health impact. However, comprehensive reviews of the influence of kimchi on cardiometabolic risk factors, especially meta-analyses, remain limited. This review assessed the impact of fermented kimchi consumption on cardiometabolic risk factors by systematically reviewing human intervention and prospective cohort studies, and conducting a meta-analysis of intervention studies. A literature search of PubMed, EMBASE, Scopus, Web of Science, RISS, KISS, and ScienceON databases was conducted through April 30, 2024. The inclusion criteria encompassed studies that examined the effects of fermented kimchi, without any added ingredients or lactic acid bacteria, on health outcomes, including anthropometric measures, blood pressure, cardiometabolic and glycemic indicators, inflammatory cytokines, and the incidence of related chronic diseases. Data extraction and quality evaluation were conducted independently by 3 researchers. Pooled effect sizes were calculated as weighted mean differences (WMDs) with 95% CIs employing random-effects models. Five intervention studies (205 participants) and 4 prospective cohort studies (42 455 participants) were selected. A meta-analysis of the intervention studies revealed a significant reduction in fasting blood glucose (WMD: -1.93 mg/dL; 95% CI: -3.82, -0.03; I2 = 17.4%) following the consumption of fermented kimchi. After excluding studies that contributed to increased heterogeneity, significant inverse associations were observed between fermented kimchi consumption and triglycerides (WMD: -28.9 mg/dL; 95% CI: -53.2, -4.5; I2 = 0.0%), systolic blood pressure (WMD: -3.48 mmHg; 95% CI: -5.95, -1.01, I2 = 0.0%), and diastolic blood pressure (WMD: -2.68 mmHg; 95% CI: -4.75, -0.62; I2 = 0.0%). Prospective cohort studies linked higher kimchi intake with a lower incidence of cancer and metabolic syndrome and an increased likelihood of achieving normal body weight. This review supports beneficial effects of fermented kimchi on cardiometabolic health. However, due to the limited number of studies, these findings should be interpreted cautiously, highlighting the need for further research in diverse populations. PROSPERO registration No. CRD42024532020.

Relationship between Cardiometabolic index and endometriosis in a US nationally representative sample: results from NHANES 1999-2006

BackgroundEndometriosis is an estrogen-dependent gynecological endocrine condition and a systemic inflammatory disease associated to improper lipid metabolism and increased cardiovascular risk. The Cardiometabolic Index (CMI) is a novel indicator representing visceral adipose tissue distribution and metabolic dysfunction, integrating lipid metabolism indicators and the waist-to-height ratio. While anomalies in lipid metabolism are often associated with (BMI) Body Mass Index, literature consistently shows a negative link between endometriosis and female BMI, and some studies have found that endometriosis is one of the few reproductive diseases not persistently positively correlated with obesity. Given the limitations of BMI, a comprehensive index like CMI is crucial for exploring the incidence of endometriosis. Currently, research on the correlation between CMI and endometriosis is lacking, prompting this study to investigate this association.ObjectiveTo investigate the association between the CMI and the risk of having endometriosis in a sample representing the entire U.S. population.Study designA cross-sectional analysis was conducted using data from four cycles of the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2006. The study included individuals aged 20 to 54 with a documented history of endometriosis and complete CMI data. Logistic regression analysis, subgroup and interaction analyses, smooth curve fitting, and restricted cubic splines (RCS) were utilized to examine the association between CMI and endometriosis.ResultsThe study found that individuals with higher CMI had an increased probability of developing endometriosis. This relationship remained significant after adjusting for potential confounders such as age, ethnicity, Poverty Income Ratio (PIR), drinking, smoking, education level, and marital status. The fully adjusted model revealed a positive correlation between CMI and endometriosis (OR = 1.21; 95% CI, 1.04–1.40, p &amp;lt; 0.05). Subgroup and interaction analyses showed no significant effect modification by age, BMI, PIR, hypertension, drinking, smoking, or menarche age (all p-values for interaction &amp;gt; 0.05).ConclusionOur study shows a link between CMI and the chance of getting endometriosis.Due to the common occurrence of endometriosis and the lack of clarity surrounding their cause, more study is needed to confirm our results and find out if CMI could be used as a warning sign for endometriosis.

Lipid Accumulation Product and Cardiometabolic Index as Effective Tools for the Identification of Athletes at Risk for Metabolic Syndrome

Introduction: Metabolic syndrome (MS) is a growing global public health concern that is associated with increased risk for cardiovascular events, even in athletes. The lipid accumulation product (LAP) index and cardiometabolic index (CMI) have been shown to be efficient markers of MS in the general population; its applicability in athletes has not been discussed yet. We aimed to assess the role of LAP and CMI in predicting MS in athletes. Methods: We retrospectively enrolled 793 Olympic athletes practicing different sporting disciplines (power, skill, endurance, and mixed), classified arbitrarily into no risk (NR), low risk (LR), high risk (HR), or MS if they had 0, 1, 2, or 3 criteria for MS, respectively. Evaluations included a calculation of the LAP index, CMI, anthropometric measurements, and clinical and laboratorial variables. Results: Among our population, only 0.8% reached the criteria for MS, 9.1% were at HR for MS, 37.8% were defined as LR, and 52.3% had NR. Significant differences in anthropometric parameters and the principal components of MS criteria (blood pressure, lipidic profile, glycemia) were reported predominantly in HR athletes and those with MS (p &lt; 0.0001). LAP and CMI presented linearly increasing values from individuals with NR to those with MS (p &lt; 0.0001). In addition, HR and MS athletes were classified as “likely MS” (9.8%) and LR and NR athletes as “unlikely MS” (90.2%). After adjusting for potential confounders, LAP ≥ 34.66 and CMI ≥ 0.776 emerged as independent predictors for MS in the overall cohort (Hazar Ratio (HR) 7.22 [3.75–13.89], p &lt; 0.0001, and HR 5.37 [2.96–9.73], p &lt; 0.0001, respectively). The ROC curve revealed that these cut-offs in the general population predict MS with an area under the curve (AUC) of 0.80 and 0.79, respectively, for LAP and CMI. However, gender-related cut-offs seem to be more precise in predicting MS (LAP ≥ 38.79 for male, LAP ≥ 14.16 for female, and CMI ≥ 0.881 for male and ≥0.965 for female). Conclusion: The ROC curve analyses of LAP and CMI showed good diagnostic accuracy in predicting MS among athletes, despite the low prevalence of MS in our sample. Thus, these indexes may be used to promote screening for primary prevention and early detection of athletes at risk for MS to establish an early prevention strategy. Larger prospective studies are necessary to validate their benefit in the general population.

Age Differences in the Correlation Between the Cardiometabolic Index and Chronic Kidney Disease Risk in Adults With Hypertension.

Literature on the association between the cardiometabolic index (CMI) and chronic kidney disease (CKD) risk is limited, especially in hypertensive populations. The objective of the present investigation was to assess the relationship between the CMI and CKD risk in a hypertensive population. The current cross-sectional study included a total of 13717 individuals with hypertension. The calculation of the CMI was based on the waist-to-height ratio and the triglyceride-to-high-density lipoprotein cholesterol ratio. The definition of CKD was based on an estimated glomerular filtration rate (eGFR) of less than 60mL/min/1.73 m2. The prevalence of CKD was found to be 4.24% in younger adults (aged < 65 years) and 14.93% in the elderly (aged ≥ 65 years). The results of the multivariate regression analysis indicated that in the elderly group, the CMI was positively associated with CKD risk (odd ratio [OR] 1.29; 95% confidence interval [CI]: 1.14, 1.46), while no significant relationship was observed in the younger group (OR 1.04, 95% CI: 0.85, 1.27). Furthermore, subgroup analyses did not identify any potential factors that could modify the relationship between the CMI and CKD risk (all p for interaction > 0.05). Among adults with hypertension, there was an independent and positive correlation between the CMI and CKD risk in the elderly, whereas such a correlation was not observed in younger adults. Trial Registration: ClinicalTrials.gov identifier: ChiCTR1800017274 [China Hypertension Registry Study].

Exploring the associations and potential mediators between lipid biomarkers and the risk of developing gout: NHANES 2007–2018

BackgroundGout stands as a prevailing manifestation of inflammatory arthritis. While it is linked to several well-established risk factors, the associations between lipid profiles and the risk of gout remain unclear.MethodsThis research involved National Health and Nutrition Examination Survey data (2007–2018). The cardiometabolic index, which incorporates the Triglycerides (TG)/High-density lipoprotein cholesterol (HDL) ratio and waist to height ratio (WHtR), was used to assess lipid profiles and metabolic health. Multivariate logistic regression analysis, propensity score matching, and mediation analyses were utilized to evaluate the associations of lipid profiles and the cardiometabolic index with the risk of developing gout.ResultsAmong 11,032 participants, each 1-unit increase in TG levels was associated with a 65% increase in the odds of developing gout before matching [1.65 (1.15–2.38), P = 0.007] and a 155% increase in the odds of developing gout after matching [2.55 (1.59–4.09), P = 0.007]. Each 1-unit increase in the cardiometabolic index was linked to an 81% increase in the odds of developing gout before matching [1.81 (1.22–2.70), P = 0.004] and a 215% increase in the odds of developing gout after matching [3.15 (1.84–5.40), P < 0.001]. The participants with HDL levels in the third quartile presented a 35% reduction in gout risk relative to those with HDL levels in the first quartile before matching [0.65 (0.46–0.92), P = 0.014] and a 51% reduction in gout risk after matching [0.49 (0.32–0.75), P < 0.001]. Mediation analyses revealed that BMI, WHtR, and homeostatic model assessment for insulin resistance (HOMA-IR) mediated the relationships between TG levels and the risk of developing gout at 18.75%, 24.28%, and 5.35%, respectively. For the association between HDL levels and the risk of developing gout, the mediating effects of BMI, WHtR, leukocytes, γ-glutamyltransferase (in those with HDL < 56 mmol/L), and HOMA-IR were 57.98%, 69.03%, 8.77%, 5.18%, and 11.14%, respectively.ConclusionThis study reveals the relationship between lipid profiles and the risk of developing gout. Regularly checking TG and HDL levels and actively managing obesity, insulin resistance, oxidative stress and inflammation are important for lowering the risk of developing gout.

Association between cardiometabolic index (CMI) and periodontitis in US adults: analysis of NHANES data (2009–2014)

BackgroundThe cardiometabolic index (CMI) is a new predictor of obesity-related diseases, but its link to periodontitis is under-researched. This study aims to examine the potential association between the CMI and periodontitis.MethodsWe conducted a cross-sectional study using the National Health and Nutrition Examination Survey (NHANES) database (2009–2014) to examine the potential association between CMI and periodontitis. The study utilized a weighted multivariate logistic model to assess the association between TG, HDL-C, TG/HDL-C, obesity indices (BMI, WC, WHtR, CMI), and periodontitis, employing the area under the receiver operating characteristic curves (ROC) to estimate areas under the curve (AUC). Furthermore, generalized smooth curve fitting was conducted to examine the relationship between CMI and periodontitis. Finally, the study incorporated subgroup analysis and interaction tests to examine consistency across different populations.ResultsTG/HDL-C, WHtR, and CMI were positively associated with periodontitis in the fully adjusted classification model. It was observed that for each unit increase in CMI, there was a corresponding 17.8% increase in the prevalence of periodontitis [1.178 (1.049, 1.322) 0.00562] and 18.7% increase in the prevalence of moderate/severe [1.187 (1.057, 1.334) 0.00376] in the fully adjusted model. When CMI was used as a categorical variable, the adjusted OR for periodontitis prevalence increased significantly with increasing CMI after adjusting for all potential covariates (T3 vs. T1: OR, 1.28 [1.06, 1.55], p < 0.05). The ROC analysis indicated that a larger area under the curve was found in the CMI [0.554 (0.538–0.570)] than in the WC [0.544 (0.528–0.560)] and WHtR [0.544 (0.528–0.561)]. Nonetheless, the discrepancy observed did not reach statistical significance (all p > 0.05). Further generalized smooth curve fitting and threshold effect models indicated a positive linear correlation between CMI and periodontitis. Moreover, there is no interactive association between TG/HDL-C, WHtR, CMI, and periodontitis.ConclusionsThis cross-sectional study revealed a positive relationship between CMI and periodontitis. Further prospective studies are warranted to validate our findings.

Association of cardiometabolic index with sleep quality in adults: a population‑based study

The Cardiometabolic Index (CMI) represents an innovative metric that encompasses abdominal obesity and lipid levels, offering a comprehensive assessment of cardiometabolic health. It is derived through the multiplication of the waist-to-height ratio by the triglyceride-to-high-density lipoprotein cholesterol ratio. Although obesity and blood lipid levels are known factors affecting sleep quality, the direct correlation between CMI and sleep quality has yet to be elucidated. This study uses NHANES data to explore the potential correlation between CMI and sleep quality. Our research employed a cross-sectional design, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2014. CMI was used as the exposure variable, with sleep quality assessed through three self-reported measures: trouble sleeping, sleep disorders, and sleep duration. We employed multivariate logistic regression models and linear regression model as well as subgroup analyses to explore the independent relationship between CMI and sleep quality. Additionally, interaction tests were conducted to examine differences across various subgroups. The study included 4298 participants, comprising 2134 males and 2164 females. There was a positive correlation between CMI and trouble sleeping (OR = 1.63, 95% CI 1.28–2.08) and sleep disorders (OR = 1.96, 95% CI 1.43–2.67), while there was a negative correlation between CMI and sleep duration (β = − 0.17, 95% CI − 0.31 to − 0.03), indicating that a higher CMI was associated with shorter sleep duration. Subgroup analyses and interaction tests revealed a consistently positive association between CMI and sleep difficulty across various populations, including gender, age, hypertension, diabetes, and cardiovascular disease history. However, the relationship between CMI and sleep disorders was more prominent among participants aged 50 and above. In American adults, a higher CMI is linked to an increased prevalence of sleep disturbances. In clinical practice, CMI can be considered as a supplementary factor in the assessment and management of sleep problems. Our study also provided new insights for improving sleep quality.

Effect of DASH vs. Mediterranean diet on metabolic syndrome and cardiometabolic profile in adults with high normal blood pressure or grade 1 hypertension: the DASH-MedDiet randomized controlled trial

Abstract Background Lifestyle interventions are recommended as the first-line treatment to control metabolic syndrome components and improve cardiometabolic profile. However, studies directly comparing the effects of the Dietary Approaches to Stop Hypertension (DASH) vs. the Mediterranean diet (MedDiet) on metabolic syndrome prevalence and cardiometabolic risk factors are currently lacking. Purpose We aimed to assess the effects of a 3-month intensive dietary intervention implementing salt restriction either alone or on top of the DASH and MedDiet compared to no/ minimal intervention on metabolic syndrome prevalence and cardiometabolic profile in never drug-treated adults with high normal blood pressure (BP) or grade 1 hypertension. Methods We randomly assigned individuals to the control group (CG, n = 60), salt restriction group (SRG, n = 60), DASH diet with salt restriction group (DDG, n = 60), or MedDiet with salt restriction group (MDG, n = 60). All patients were followed monthly for 3 months in individual sessions coordinated by the clinical dietician. For the patients of all four study groups, the goal was to maintain the initial body weight unchanged. Patients in the CG received general advice on dietary principles for BP control. For the patients in all three intervention groups, the goal was to limit sodium intake to 2,000 mg/ day (equivalent to 5,0g salt/ day). In addition, patients in the DDG and the MDG received an individualized dietary plan with six daily sample menus to facilitate the adoption of the assigned dietary pattern. Anthropometric indices, dietary intake, office BP, and fasting blood samples were evaluated pre- and post-intervention. Results According to the intention-to-treat analysis, at 3 months post-intervention, the DDG and the MDG had lower odds ratio (OR) (95% CI) of metabolic syndrome [0.29 (0.12, 0.72), and 0.15 (0.06, 0.41), respectively] compared to the CG. Moreover, the MDG had lower odds of elevated BP levels compared to both the DDG and the SRG [0.08 (0.03, 0.19), and 0.13 (0.05, 0.34), respectively], and lower odds of metabolic syndrome compared to the SRG [0.25 (0.09, 0.67)]. In addition, the DDG and the MDG had lower odds of elevated fasting glucose compared to both the CG and the SRG, whereas the study groups did not differ regarding the odds of elevated waist circumference, elevated triglycerides, and reduced HDL- cholesterol. Regarding cardiometabolic indices, total and LDL-cholesterol, fasting glucose, HbA1c, and systolic/ diastolic BP were reduced in all three intervention groups compared to the CG. Conclusions On a background of salt restriction, the MedDiet was superior in BP reduction, but the DASH and MedDiet reduced the prevalence of metabolic syndrome to the same extent.

Circulating levels of amyloid-beta (1-40) peptide associate with cardiometabolic traits and risk for metabolic dysfunction-associated steatotic liver disease

Abstract Background and Aims The ageing-associated amyloid-beta 1-40 peptide (Αbeta40) has recently emerged as a blood-based biomarker of cardiovascular disease (CVD). Its levels predict future cardiovascular death and MACE in patients with established CVD. The clinical value of Abeta40 in patients with metabolic syndrome who do not concomitantly have clinically overt CVD or other end-organ damage remains poorly understood. At the present study we investigated the clinical value of plasma Αbeta40 in patients with pre- or established metabolic syndrome who are at risk for metabolic dysfunction-associated steatotic liver disease (MASLD). Methods Αbeta40 was measured in plasma by enzyme-linked immunosorbent assay and cardiometabolic traits were determined in a mixed population (n=888) of patients with established (n=243) and pre- or without metabolic syndrome (n=645) who did not have clinical signs of established cardiometabolic disease (heart failure, coronary artery disease, MASLD, chronic kidney disease). The endpoint of the study was the association of Abeta40 with cardiometabolic indices and risk (BARD score) for MASLD. Odds ratio (OR) was calculated by ordinal regression analysis for the increasing incidence of metabolic syndrome components per increasing Abeta40 (1-SD) after adjustment for age, sex, smoking status and hyperlipidemia. Results Abeta40 levels are associated with the presence of metabolic syndrome and with higher odds for increasing incidence of metabolic syndrome components after adjustment for sex, age, smoking status, hypertension and dyslipidemia. Increased Abeta40 plasma levels were associated with decreased HDL-C levels (OR: 1.004, 95% CI:1.000-1.009, P=0.049) and increased triglyceride levels (OR: 1.007, 95%CI: 1.001-1.012, P=0.033) after adjustment for traditional cardiovascular risk factors (age, sex, smoking status, hypertension and hyperlipidemia). Among the total population (n=888), we identified n=473 subjects with increased MASLD risk if any of the following was present: hepatic steatosis index≥36 or fatty liver index≥60 or Fib-4 index≥2.67 or NAFLD score≥0.675. Among patients with high-risk for MASLD, patients with increased BARD score had significantly higher Abeta40 levels (median Abeta40 concentration in patients with BARD score≥2 vs. patients with BARD score&amp;lt;2: 54.9 pg/ml (IQR=38.25) vs. 41.9 pg/m (IQR=30.35), P=0.012). Increased Abeta40 levels were associated with increased odds for AST/ALT≥0.8 ratio and increased odds for BARD score≥2 after adjustment for age, sex, smoking status, hypertension and hyperlipidemia. Conclusion Our findings suggest that Abeta40 peptide is associated with cardiometabolic traits and risk for MASLD. Whether Abeta40 may emerge as an early cardiometabolic prognostic biomarker, future longitudinal studies are warranted to determine the prognostic value of Abeta40 for the development of cardiometabolic diseases in patients with metabolic syndrome.

Cardiometabolic index and the risk of new-onset chronic diseases: results of a national prospective longitudinal study.

The cardiometabolic index (CMI) has emerged as a novel marker for evaluating the distribution and dysfunction of visceral adipose tissue, yet its correlation with numerous diseases, particularly new-onset chronic conditions, remains underexplored. Therefore, we aim to explore the association of cardiometabolic index (CMI) and new-onset chronic diseases. The analysis utilized data from the China Health and Retirement Longitudinal Study, with a baseline in 2011 and follow-ups biennially until 2020. Fourteen new-onset chronic diseases were diagnosed based on self-report, and separate cohorts were created for each disease. CMI was calculated as triglycerides/high-density lipoprotein cholesterol multiplied by the waist-to-height ratio. Cox proportional hazards models were used to assess the association between CMI and new-onset chronic diseases, while restricted cubic spline (RCS) models were employed to explore potential nonlinear effects. Additional and sensitivity analyses included Kaplan-Meier survival curves, subgroup analyses, multiple imputations, and exclude outcome events at the first follow-up. Higher levels of CMI were associated with an increased risk of new-onset hypertension (HR=1.05, 95% CI=1.04-1.06, P<0.001), diabetes (HR=1.08, 95% CI=1.06-1.09, P<0.001), dyslipidemia (HR=1.07, 95% CI=1.06-1.09, P<0.001), liver disease (HR=1.05, 95% CI=1.03-1.07, P<0.003), and stroke (HR=1.04, 95% CI=1.02-1.06, P<0.001), although the association with stroke was not significant after adjusting for confounders (HR=1.02, 95% CI=1.00-1.05, P=0.054). Participants in the highest quartile of CMI had a significantly higher risk of these diseases compared to those in the lowest quartile. RCS analyses showed a significant nonlinear relationship between CMI and the risk of these diseases above. CMI showed a significant positive association with the risk of new-onset chronic diseases such as hypertension, diabetes, dyslipidemia, and liver disease. Future applications of CMI hold promise as an effective marker for early identification of chronic disease risk.

Associations of the cardiometabolic index with insulin resistance, prediabetes, and diabetes in U.S. adults: a cross-sectional study

BackgroundThe cardiometabolic index (CMI) is a novel metric for assessing cardiometabolic health and type 2 diabetes mellitus (DM), yet its relationship with insulin resistance (IR) and prediabetes (preDM) is not well-studied. There is also a gap in understanding the nonlinear associations between CMI and these conditions. Our study aimed to elucidate these associations.MethodsWe included 13,142 adults from the National Health and Nutrition Examination Survey (NHANES) 2007–2020. CMI was calculated by multiplying the triglyceride-to-high density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Using weighted multivariable linear and logistic regression explored the relationships of CMI with glucose metabolism markers, IR, preDM, and DM. Nonlinear associations were assessed using generalized additive models (GAM), smooth curve fittings, and two-piecewise logistic regression.ResultsMultivariate regression revealed positive correlations between CMI and glucose metabolic biomarkers, including FBG (β = 0.08, 95% CI: 0.06–0.10), HbA1c (β = 0.26, 95% CI: 0.22–0.31), FSI (β = 4.88, 95% CI: 4.23–5.54), and HOMA-IR (β = 1.85, 95% CI: 1.56–2.14). There were also significant correlations between CMI and increased risk of IR (OR = 3.51, 95% CI: 2.94–4.20), preDM (OR = 1.49, 95% CI: 1.29–1.71), and DM (OR = 2.22, 95% CI: 2.00-2.47). Inverse nonlinear L-shaped associations were found between CMI and IR, preDM, and DM, with saturation inflection points at 1.1, 1.45, and 1.6, respectively. Below these thresholds, increments in CMI significantly correlated with heightened risks of IR, preDM, and DM.ConclusionsCMI exhibited inverse L-shaped nonlinear relationships with IR, preDM, and DM, suggesting that reducing CMI to a certain level might significantly prevent these conditions.

Effects of Specially Designed Energy-Restricted Diet on Anthropometric Parameters and Cardiometabolic Risk in Overweight and Obese Adults: Pilot Study.

This study examined the effects of a specially designed energy-restricted diet with alternate carbohydrate intake on body composition and cardiometabolic risk factors in overweight and obese adults. The aim was to assess whether the intervention could lead to significant weight loss, improve body composition, and reduce cardiometabolic risks. Sixty-five participants (34 women, 31 men) with an average BMI of 31.8 ± 9.1 kg/m2 (women) and 34.1 ± 6.4 kg/m2 (men) participated in a 14-week intervention. The diet included different days of carbohydrate intake and a 20% reduction in total daily energy consumption. Anthropometric measurements and biochemical parameters, including predictive indices of cardiometabolic risk, were determined at baseline and after the intervention. The intervention resulted in a significant reduction in body weight (mean weight loss of 17%, p < 0.001), with 64.6% of participants achieving a weight loss of at least 10%. Muscle mass as a percentage of total body weight increased. Cardiometabolic improvements were observed in fasting blood glucose (from 5.4 to 4.9 mmol/L, p < 0.001) and LDL cholesterol (from 3.38 to 2.81 mmol/L, p < 0.001). Gender-specific differences were found, particularly in HDL-C, which decreased significantly in women (p = 0.013), while there was a non-significant increase in men. Cardiometabolic indices, including the Visceral Adiposity Index (VAI) and the Cardiometabolic Index (CMI), also improved significantly. The alternate carbohydrate diet improved body composition, cardiometabolic health, and treatment adherence through metabolic flexibility. However, the short duration of this study and the lack of a control group suggest that further research is needed to assess long-term sustainability.

Association between cardiometabolic index and kidney stone from NHANES: a population-based study.

The Cardiometabolic Index (CMI) is a novel marker of visceral obesity and dyslipidemia. Our study aimed to explore the association between CMI and kidney stones among US adults. This cross-sectional study was conducted among adults with complete records of CMI and kidney stones information from the 2011 to 2018 National Health and Nutrition Examination Survey (NHANES). Inverse probability treatment weighting (IPTW) was used to balance the baseline characteristics of the study population. The independent relationship between CMI and kidney stones was evaluated using IPTW-adjusted multivariate logistic regression, restricted cubic splines (RCS), and subgroup analysis. A total of 9,177 participants, with an average CMI of 0.72 (0.99), were included in this study. The IPTW-adjusted logistic regression revealed that CMI was an independent risk factor for kidney stones. The adjusted odds ratio (OR) for kidney stones were 1.39 (95% CI: 1.24 - 1.56, P < 0.001) for the second CMI tertile and 1.31 (95% CI: 1.17 - 1.47, P < 0.001) for the third CMI tertile, compared with the first CMI tertile. A linear relationship between CMI levels and kidney stone risk was observed in the RCS analysis. Subgroup analysis showed that the association between CMI levels and kidney stone risk remained stable across groups. A positive association between CMI level and the risk of kidney stones was observed among US adults in our study. Further large-scale prospective studies are needed to validate our findings.

The effect of MIND diet on sleep status, anxiety, depression, and cardiometabolic indices in obese diabetic women with insomnia: study protocol for a randomized controlled clinical trial {1}

BackgroundThe Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet is a plant-based and anti-inflammatory diet that has the ability to protect and manage cardiovascular and nervous system diseases. Regarding that insomnia and cardiovascular problems are x`common in type 2 diabetes mellitus (T2DM), the present study will assess the effectiveness of the MIND dietary pattern on sleep quality, cardiometabolic indicators, and other psychological indicators.MethodsForty-four overweight/obese T2DM women with insomnia, aged 30–65 years, will voluntarily participate in this randomized controlled trial and will be randomized to receive either a MIND low-calorie diet (MLCD) or a low-calorie diet (LCD) over a 3-month period. Before and after the study, sleep quality, some biochemical and cardiometabolic indices, cortisol, brain-derived neurotrophic factor (BDNF), high-sensitivity C-reactive protein (hs-CRP), and oxidative stress indicators will be assessed.DiscussionThe use of dietary interventions in the management of T2DM complications is practical and safe. This research seeks to investigate the capacity of the MIND diet in the management of insomnia and cardiovascular problems of DM. It is expected that the results of this research will provide new perspectives on using an ideal dietary regimen to treat these health conditions.Trial registrationIRCT20181111041611N8. Registered on August 7, 2023. https://www.irct.ir/trial/71772

Association between cardiometabolic Index (CMI) and endometriosis: a cross-sectional study on NHANES

BackgroundEndometriosis is intricately linked to metabolic health. The Cardiometabolic Index (CMI), a novel and readily accessible indicator, is utilized to evaluate metabolic status. This study seeks to investigate the potential correlation between CMI and endometriosis.MethodsData from four consecutive survey cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006 were utilized. This included adult females with self-reported diagnoses of endometriosis and complete information required for calculating the CMI. The calculation formula for CMI is Triglycerides(TG) / High-density lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference / height). A multivariable logistic regression model was employed to investigate the linear association between CMI and endometriosis. Subgroup analyses were performed to explore potential influencing factors. Additionally, the linear relationship was validated using restricted cubic spline (RCS) curve plotting and threshold effect analysis.ResultsThis study, based on the National Health and Nutrition Examination Survey (NHANES), included a cohort of 2,224 adult women. The multivariable logistic regression analysis demonstrated that in the fully adjusted model, individuals with the highest CMI exhibited a 78% elevated likelihood of endometriosis compared to those with the lowest CMI (OR = 1.78; 95% CI, 1.02–3.11, P < 0.05). The subgroup analysis indicated that there were no significant interactions between CMI and specific subgroups (all interaction P > 0.05), except for the subgroup stratified by stroke status (P < 0.05). Additionally, the association between CMI and endometriosis was linear, with a 20% increase in the association for each unit increase in CMI when CMI > 0.67 (OR = 1.20; 95% CI, 1.05–1.37, P < 0.01).ConclusionThe study found that CMI levels are closely correlated with endometriosis, with this correlation increasing when the CMI exceeds 0.67. This finding implies that by regularly monitoring CMI levels, physicians may be able to screen women at risk for endometriosis at an earlier stage, thereby enabling the implementation of early interventions to slow the progression of the disease. To further validate these findings, larger-scale cohort studies are required to support the results of this research.

The Different Predictive Effects of Multiple Body Fat Indexes on Metabolic Dysfunction-Associated Fatty Liver Disease.

The aim of this study was to comprehensively compare the predictive effect of 10 body fat indexes on MAFLD in different sex, age and BMI subgroups. A total of 5403 physical examination data were included and divided into the MAFLD group (N=2632) and non-MAFLD group (N=2771). The differences and correlation of 10 promising indicators between the two groups were compared, including fatty liver index (FLI), hepatic steatosis index (HSI), lipid accumulation product (LAP), visceral fat index (VAI), cardiometabolic index (CMI), body adiposity index (BAI), and triglyceride-glucose index (TyG), waist circumference index (WC), body mass index (BMI), waist to height ratio (WHtR). Logistic regression was used to analyze the risk of MAFLD under different adjustment conditions. The operating characteristic curve of different genders, BMI levels and age subgroups was plotted. Male gender, smoking, alcohol drinking, and higher age are risk factors for MAFLD. In addition to BAI, the other 9 indicators had a high correlation with MAFLD, the area under the curve (AUC) value was >0.7, and the prediction effect was better in females, BMI<24 kg/m2, age <35 years subgroup, among which FLI (AUC: 0.912, 95% CI: 0.905-0.920), LAP (AUC: 0.894, 95% CI: 0.8866-0.903), and HSI (AUC: 0.881, 95% CI: 0.872-0.890) have better prediction effects. Our study confirmed the accuracy of body fat-related indexes in predicting MAFLD in people of different sexes, ages, and BMI levels. Among them, FLI, LAP and HSI have high predictive value and can be utilized as simple and cost-effective tools for screening MAFLD in clinical settings.

Effects Of High-intensity Interval Training On Cardiometabolic Indicators Among Older Adults: A Meta-analysis

Effects Of High-intensity Interval Training On Cardiometabolic Indicators Among Older Adults: A Meta-analysis

Nonlinear relationship between cardiometabolic index and bone mineral density in U.S. adults: the mediating role of percent body fat.

Both lipid metabolism and obesity are crucial factors in osteoporosis, influencing the relevance of the cardiometabolic index (CMI), a new body fat index incorporating obesity and lipid metrics. Our study aims to explore the relationship between CMI and lumbar spine bone mineral density (BMD) and the mediating role of body fat percentage. Utilizing the National Health and Nutrition Examination Survey (NHANES) data from 2011 to 2018, we conducted a cross-sectional analysis. We employed multiple linear regression models, subgroup analyses, generalized additive models (GAM), smooth curve fitting, and mediation analysis to evaluate the linear and nonlinear relationships between CMI and lumbar spine BMD. The study involved 5,124 participants with an average lumbar spine BMD of 1.03 ± 0.15g/cm2. We identified a negative correlation between CMI and lumbar spine BMD (β = -0.015; 95% CI: -0.023, -0.008). Nonlinear associations were evident, with inflection points at CMI values of 1.12 and 2.86. Subgroup analyses showed consistent negative correlations across all categories without significant differences (p for interaction > 0.05). Moreover, body fat percentage negatively correlated with BMD (β = -0.005; 95% CI: -0.006, -0.004) and mediated 9.41% of the relationship between CMI and BMD. Increased CMI levels are associated with lower lumbar spine BMD, with body fat percentage significantly mediating this relationship. This underscores the importance of managing body composition in the context of bone health, highlighting CMI's potential utility in osteoporosis risk assessment.