Association between cardiometabolic index and testosterone among adult males: A cross- sectional analysis of the National Health and Nutrition Examination Survey 2013-2016 DOI Creative Commons

Tingting Shang,

Jian Zhang,

Hua Ma

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 16, 2024

Abstract Background Cardiometabolic index (CMI) is a well-promising indicator for predicting obesity-related diseases. Testosterone decline and deficiency importantly affect men's health, may be associated with obesity excessive deposition of visceral adipose tissue. Therefore, this study intends to explore the relationship between CMI testosterone. Methods The present cross-sectional was conducted among adult males complete data about testosterone in 2013–2016 National Health Nutrition Examination Survey (NHANES). Calculate CMI: Triglyceride (TG) (mmol/L)/ High-density lipid-cholesterol (HDL–C) (mmol/L) × waist-to-height Ratio (WHtR). Multivariable regression subgroup analyses were association Results We included 2,209 male participants final analysis. After adjusting confounders, found show negative correlation (Minimally adjusted model: β=-10.56, 95%CI: -12.76, -8.36, P < 0.0001, fully β=-0.04 (-4.88, 4.81), = 0.9882). Multivariate-adjusted beta also showed levels significantly lower two highest groups (Q3, Q4) compared lowest group (Q1). In populations, affected by age, race, Education level, Hypertension, smoking status ( -interaction༜0.05). Furthermore, ROC curve analysis indicated that area under (0.68 (95% CI: (0.65,0.71) more significant than TyG (0.67 0.65,0.70). Conclusion negatively related decreased likelihood United States adults. Our findings simple anthropometric predict

Language: Английский

Non-linear associations of cardiometabolic index with insulin resistance, impaired fasting glucose, and type 2 diabetes among US adults: a cross-sectional study DOI Creative Commons

Jimei Song,

Yimei Li,

Junxia Zhu

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 12, 2024

Background Cardiometabolic index (CMI) is a novel indicator for predicting the risk of obesity-related diseases. We aimed to determine relationships CMI with insulin resistance (IR), impaired fasting glucose (IFG), and type 2 diabetes mellitus (T2DM) using NHANES data from 1999 2020. Methods After values were estimated, weighted univariate multivariate logistic regression analyses used ascertain whether was an independent IR, IFG, T2DM. Furthermore, stratified interaction carried out investigate heterogeneity correlations across various subgroups. Subsequently, restricted cubic splines (RCS) examine nonlinear relationships. Results 21,304 US adults enrolled in our study, whom 5,326 (22.38%) had 4,706 (20.17%) 3,724 (13.02%) In studied population, higher value significantly associated elevated likelihood RCS model, relationship between T2DM identified as nonlinear. A inverted U-shaped found inverse L-shaped association observed The cut-off 1.35, 1.48, 1.30 T2DM, respectively. Conclusion Our results indicate that positively correlated increase population. may be simple effective surrogate

Language: Английский

Citations

43
Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study DOI Creative Commons
Bin Xu, Qian Wu, Rui La

et al.

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: June 20, 2024

Abstract Background This study sought to elucidate the associations of cardiometabolic index (CMI), as a metabolism-related index, with all-cause and cardiovascular mortality among older population. Utilizing data from National Health Nutrition Examination Survey (NHANES), we further explored potential mediating effect inflammation within these associations. Methods A cohort 3029 participants aged over 65 years old, spanning six NHANES cycles 2005 2016, was enrolled assessed. The primary endpoints included utilizing Center for Statistics (NCHS). Cox regression model subgroup analysis were conducted assess CMI mortality. inflammation-related indicators including leukocyte, neutrophil, lymphocyte, systemic immune-inflammation (SII), neutrophil lymphocyte ratio (NLR) evaluated investigate mechanism between through mediation package in R 4.2.2. Results mean 0.74±0.66, an average age 73.28±5.50 years. After follow-up period 89.20 months, there 1,015 instances deaths 348 documented. In multivariable-adjusted model, positively related (Hazard Ratio (HR)=1.11, 95% CI=1.01-1.21). Mediation indicated that leukocytes neutrophils mediated 6.6% 13.9% association Conclusion Elevated is associated adults. appeared be partially inflammatory pathways, indicating may serve valuable indicator poor prognosis

Language: Английский

Citations

37
Association between cardiometabolic index and depression: National Health and Nutrition Examination Survey (NHANES) 2011–2014 DOI
Xiang Zhou,

XiaoLiang Tao,

Li Zhang

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 351, P. 939 - 947

Published: Feb. 8, 2024

Language: Английский

Citations

35
Correlation between the cardiometabolic index and arteriosclerosis in patients with type 2 diabetes mellitus DOI Creative Commons

Chaoyan Tang,

Tianjiao Pang,

Chaozhi Dang

et al.

BMC Cardiovascular Disorders, Journal Year: 2024, Volume and Issue: 24(1)

Published: March 27, 2024

Abstract Background The cardiometabolic index (CMI) is a new metric derived from the triglyceride-glucose and body mass considered potential marker for cardiovascular risk assessment. This study aimed to examine correlation between CMI presence severity of arteriosclerosis in patients with type 2 diabetes mellitus (T2DM). Methods involved 2243 T2DM. was by dividing triglyceride level (mmol/L) high-density lipoprotein then multiplying quotient waist-to-height ratio. Multivariate logistic regression used analyze correlations BMI blood biomarkers, pressure, brachial-ankle pulse wave velocity (baPWV). Results Patients were categorized into three groups based on their CMI: Group C1 (CMI < 0.775; n = 750), C2 (CMI: 0.775–1.355; 743), C3 > 1.355; 750). Increased BMI, fasting glucose, insulin (at 120 min), total cholesterol (TC), baPWV values observed Groups C3, statistically significant trends (all P 0.05). positively correlated systolic pressure ( r 0.74, 0.001). analysis revealed that an increased contributed greater (OR 1.87, 95%CI: 1.66–2.10, Compared group, group had developing arteriosclerosis, ORs 4.55 (95%CI: 3.57–5.81, <0.001) 5.56 4.32–7.17, <0.001), respectively. association notably stronger below 21.62 kg/m² than those or higher 4.53 vs. OR 1.59). Conclusions These findings suggest relevant independent T2DM may be useful stratification management these patients.

Language: Английский

Citations

13
Association of cardiometabolic and triglyceride-glucose index with left ventricular diastolic function in asymptomatic individuals DOI Creative Commons

Runyu Ye,

Xin Zhang, Zhipeng Zhang

et al.

Nutrition Metabolism and Cardiovascular Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 1, 2024

Background and AimsObesity insulin resistance are associated with left ventricular diastolic dysfunction (LVDD) increased risk of heart failure.Cardiometabolic index (CMI) triglyceride glucose (TyG) new indexes to assess visceral obesity resistance, respectively.The study aimed investigate the clinical usefulness these for identifying LVDD individuals. Methods ResultsOverall, 1898 asymptomatic individuals were included in this cross-sectional study.Participants underwent anthropometrics, serum biochemical evaluation, echocardiography.Multiple linear regression analysis revealed that both independent determinants parameters among females; while males, CMI TyG not A velocity.In multivariate logistic analysis, proportion third fourth quartiles remained significantly greater than lowest quartile females (Q3 vs. Q1: odds ratio (OR)=2.032,95% confidence interval (CI): 1.181-3.496;Q4 OR=2.393, 95% CI: 1.347-4.249);while incidence was only quartile.For TyG, presence genders.The discriminant values between (AUC: 0.704, 0.668-0.739)and 0.717, 0.682-0.752)were similar females.Both performed better males identify LVDD. ConclusionThe might serve as effective tools routine health check-ups primary care, mainly females.With simpler parameters, could be utilized medically resource-limited areas.

Language: Английский

Citations

10
Association between the cardiometabolic index and chronic kidney disease: a cross-sectional study DOI Creative Commons
Qian Guo, Yani Wang, Yuchen Liu

et al.

International Urology and Nephrology, Journal Year: 2023, Volume and Issue: 56(5), P. 1733 - 1741

Published: Dec. 8, 2023

Abstract Background Central obesity is a risk factor for chronic kidney disease (CKD). However, the exact correlation between cardiometabolic index (CMI), an indicator of central obesity, and CKD remains unclear. Here, we aimed to investigate CMI in general American population. Methods This cross-sectional study involved 64,313 members population (≥ 20 years age) with data National Health Nutrition Examination Survey (NHANES) 1999–2020. The individuals were grouped into three categories by tertile: T1 group (n = 7,029), T2 7,356), T3 7,380). Logistic regression analysis was performed, NHANES recommended weights, assess association CKD. Results A total 21,765 participants included; overall prevalence 12.2%. From low high tertile, increased from 8.9% 16.0% (P < 0.001). After full adjustment confounders, higher tertile (OR: 1.08, 95% CI: 1.03 − 1.13, P 0.002) had Compared group, groups levels (T2: OR: 1.01, 95%CI: 0.87–1.18, 0.812; T3: 1.22, 1.05–1.43, 0.013). Conclusions Higher independently associated

Language: Английский

Citations

23
Associations of cardiometabolic index with diabetic statuses and insulin resistance: the mediating role of inflammation-related indicators DOI Creative Commons
Bin Xu, Qian Wu, Guoqing Yin

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 8, 2024

This study aimed to analyze the associations of cardiometabolic index (CMI) with diabetic statuses and insulin resistance (IR) using data from National Health Nutrition Examination Survey (NHANES) examined potential mediating role inflammation in these correlations. enrolled 9477 participants across four NHANES cycles 2011 2018. The primary outcomes included risk having prediabetes, diabetes level homeostasis model assessment IR (HOMA-IR). Other including levels fasting blood glucose (FBG), hemoglobin A1c (HbA1c), oral tolerance test (OGTT) results, insulin, hypoglycemic medicine use, retinopathy were also collected analyzed. Logistic regression model, subgroup analysis, restricted cubic spine (RCS), Pearson correlation coefficients conducted assess CMI IR. was evaluated investigate mechanism between statuses. Among participants, normal prediabetes this 0.48, 0.73 1.07. After multivariable adjustment, positively associated (OR = 1.49, 95% CI 1.24–1.79), 2.14, 1.82–2.50) HOMA-IR (β 2.57, 2.14–3.01). Besides, an increased correlated higher FBG, HBA1c, OGTT results as well greater use use. RCS showed inverted L-shaped association (P for non-linearity < 0.001). According coefficients, linked rises (r 0.224, P Inflammation-related indicators leukocyte neutrophil demonstrated significant effects (15.5%, 9.8%), (5.1%, 6.0%) (3.3%, 2.6%). worse while may be partially mediated by inflammation-related indicators, suggesting that could a promising indicator prediction severe

Language: Английский

Citations

8
Associations of the cardiometabolic index with insulin resistance, prediabetes, and diabetes in U.S. adults: a cross-sectional study DOI Creative Commons
An‐Bang Liu,

Yan-Xia Lin,

Tingting Meng

et al.

BMC Endocrine Disorders, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 15, 2024

The cardiometabolic index (CMI) is a novel metric for assessing health and type 2 diabetes mellitus (DM), yet its relationship with insulin resistance (IR) prediabetes (preDM) not well-studied. There also gap in understanding the nonlinear associations between CMI these conditions. Our study aimed to elucidate associations.

Language: Английский

Citations

6
Cardiometabolic Index and chronic obstructive pulmonary disease: A population-based cross-sectional study DOI

L L Wang,

Xiaojun Liu,

Zhongyan Du

et al.

Heart & Lung, Journal Year: 2024, Volume and Issue: 68, P. 342 - 349

Published: Sept. 7, 2024

Language: Английский

Citations

4
The relationship between cardiometabolic Index and diabetic kidney disease in people with diabetes DOI Creative Commons

Jianping Kong,

Wuhai Tao,

Yuhong Sun

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 9, 2025

Studies have shown a strong correlation between the cardiometabolic index (CMI) and health issues such as diabetes, atherosclerosis, decreased renal function. Nevertheless, CMI diabetic kidney disease (DKD) remains ambiguous. The objective of this study is to evaluate DKD in patients with diabetes United States. involved individuals who were part National Health Nutrition Examination Survey (NHANES) conducted 2003 2018. A multivariable logistic regression analysis was employed for investigating DKD. Generalized Additive Models (GAM) smooth curve fitting methods nonlinear relationship Two-stage applied threshold effects connection In addition, subgroup interaction tests also carried out. This included total 6,540 adults diabetes. After adjusting variables including age, sex, race, education level, smoking status, household income poverty rate, body mass index, hypertension aspartate aminotransferase, alanine serum albumin, globulin, we discovered significant levels risk (OR=1.11, 95% CI: 1.05, 1.17, p<0.0001). Individuals varying statuses showed variations according (p interaction=0.0216). Conversely, appeared similar across different genders, ages, races, BMI categories, statuses, insulin usage among people (all p >0.05). existed DKD, indicating turning point at CMI=1.7. positive observed when exceeded 1.7. significantly positively correlated Further larger prospective studies are required confirm our results.

Language: Английский

Citations

0