Nutrient-Wide Associations with the Cardiometabolic Index in Older Adults: Insights from NHANES 2007–2016 DOI Creative Commons
Wen Li, Siqi Liu, Xiaojun Meng

et al.

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

Published: Dec. 24, 2024

Abstract Background: The cardiometabolic index (CMI) is an innovative composite marker integrating adiposity and lipid metabolism, serving as a surrogate endpoint for chronic disease mortality risks. This study employed nutrient-wide association (NWAS) approach to explore the associations between dietary nutrients CMI in older U.S. adults. Methods: Data from National Health Nutrition Examination Survey (NHANES) spanning 2007–2016 were analyzed, including 2,673 participants aged ≥ 65 years. Multivariable linear regression adjusted energy intake traditional confounders was used evaluate 56 nutrients. Restricted cubic spline analyses assessed nonlinear dose-response relationships. Results: Carbohydrate total sugars positively associated with (Carbohydrate: Coefficient = 0.001, Adjusted P= 0.016; Total sugars: P 0.021). In contrast, vitamin E MFA 20:1 (eicosenoic acid) exhibited inverse (Vitamin E: -0.007, 0.021; 20:1: -0.129, 0.035). revealed significant relationships (P-nonlinearity 0.043) 0.028), identifying thresholds protective detrimental effects. Conclusion: These findings underscore complex interplay diet risk, highlighting potential of targeted nutritional interventions reduce burden improve health outcomes aging populations. Further research warranted validate these inform guidelines.

Language: Английский

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

5

Lipid metabolism indicators provide tools for the diagnosis of non-alcoholic fatty liver disease: results of a nationwide survey DOI Creative Commons
Yongxin Wang,

Chang Fu,

Hengwei Jin

et al.

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

Published: Jan. 17, 2025

Cardiometabolic index (CMI), visceral adiposity (VAI), and lipid accumulation product (LAP) are lipid-related parameters that reflect central obesity, which is closely associated with the development of non-alcoholic fatty liver disease (NAFLD). The aim this study to investigate effectiveness these in diagnosing NAFLD compare their predictive abilities. This population-based extracted datasets from National Health Nutrition Examination Survey (NHANES) 2017-2020. CMI, VAI, LAP were included multivariate logistic model as both continuous categorical variables assess relationship between different NAFLD. To further elucidate connection, we utilized restricted cubic splines conducted subgroup analysis. Additionally, receiver operating characteristics (ROC) curve was employed evaluate for 2,878 adults population, whom 1,263 participants diagnosed When analyzed variables, they showed a positive correlation OR(95%CI) 2.29(1.81,2.89) CMI (per 1-unit), 1.40(1.28,1.52) VAI 1-unit) 1.15(1.11,1.20) 10-units). remains statistically significant when variables. In descending order diagnostic capability NAFLD, AUC values follows: (0.794), (0.752), (0.719). may be important clinical indicators identifying demonstrating best ability among them.

Language: Английский

Citations

0

Gender differences in the relationship between cardiometabolic index and all-cause and specific mortality in the United States adults: a national study DOI Creative Commons
Tianshu Li, Haoran Zhou, Hua Zhou

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 17, 2025

Background The cardiometabolic index (CMI) is a new comprehensive measure that reflects visceral obesity and metabolic function. This study aimed to examine associations between CMI adult mortality from all causes specific causes, as well gender differences, using the National Health Nutrition Examination Survey (NHANES) database. Methods We included 37,539 participants with complete data 1999-2018 NHANES categorized according constructed three models investigate relationship outcome variables. These were analyzed Kaplan-Meier curve analysis, COX proportional risk models, restricted cubic spline (RCS). Results Baseline characteristics showed among both male female participants, those who died exhibited higher levels of compared survived. curves an increasing trend in all-cause follow-up time. When was quartiles (Q1-Q4), probability survival lower Q4 group Q1. found no differences rates. In regression analyses, all-cause, cardiovascular, diabetes significantly whole population whereas significant identified participants. RCS nonlinear positive correlation for females linear cardiovascular mortality. As males, positively nonlinearly associated Besides, there statistically males Conclusion There mortality, population. findings indicated elevated at disease, diabetes. At same time, males.

Language: Английский

Citations

0

Diabetes mediates an inverted L-shaped association between cardiometabolic index and kidney stones: a cross-sectional study from NHANES 2007-2020 DOI Creative Commons
Jinmiao Bi,

Jianwei Du,

Xiaoyi Yan

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 25, 2025

Kidney stones are a chronic metabolic disorder. The cardiometabolic index (CMI) is new and easily accessible measure used to assess status. However, the relationship between CMI incidence of kidney remains unclear. Data from National Health Nutrition Examination Survey (NHANES) was in our cross-sectional study. A weighted multivariable logistic regression analysis conducted stone incidence. Subgroup restricted cubic spline analyses were utilized confirm robustness non-linearity association This study involved 18,043 individuals, whom 9.89% diagnosed with stones. After controlling for all covariates, showed significant positive (OR: 1.07, 95%CI: 1.02-1.12). Individuals highest quartile experienced 50% higher than those lowest 1.50, 1.18-1.92). Additionally, interaction observed subgroup history diabetes (p < 0.05). identified notable non-linear elevated levels greater occurrence finding suggests that by routinely monitoring levels, physicians can identify individuals at risk early, allowing timely intervention mitigate disease progression.

Language: Английский

Citations

0

Nonlinear association of cardiometabolic index with hyperuricemia: insights from the NHANES 1999-2018 study DOI Creative Commons

Xumei Yang,

Yulan Luo, Lai Wei

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: March 26, 2025

Background Hyperuricemia, a risk factor for gout and cardiovascular diseases, has been linked to various metabolic disorders. This study investigates the association between cardiometabolic index (CMI) hyperuricemia. Methods Using National Health Nutrition Examination Survey 1999-2018 data from 23,212 participants, we employed survey-weighted logistic regression quantify CMI-hyperuricemia relationship. Generalized additive models explored potential nonlinear relationships, with two-piecewise identifying inflection points. Stratified analyses across demographic health subgroups assessed relationship consistency. Results We found significant higher CMI increased hyperuricemia identified relationship, characterized by faster increase at lower levels slower levels. pattern remained consistent all subgroups. Conclusions Higher significantly predicts diverse populations, pronounced association. underscores importance of early intervention, emphasizing need personalized assessments targeted strategies.

Language: Английский

Citations

0

The cardiometabolic index as a predictor of sleep disorders and mortality: A cross-sectional study DOI Creative Commons
Zuojun Xu, Xu Qian, Junyao Xu

et al.

Medicine, Journal Year: 2025, Volume and Issue: 104(14), P. e42029 - e42029

Published: April 4, 2025

The cardiometabolic index (CMI) reflects an individual’s health and is linked to the risk of dyslipidemia, obesity, hyperglycemia, hypertension. These factors not only increase likelihood cardiovascular disease but are also strongly associated with sleep issues such as apnea insomnia. However, relationship between CMI disorders remains unclear. This study aimed investigate association disorder-related morbidity mortality. cross-sectional utilized data from 6220 adults aged ≥ 20 years National Health Nutrition Examination Survey (2007–2014). was calculated [waist circumference (cm)/height (cm)] × [triglycerides (mmol/L)/high-density lipoprotein-C (mmol/L)], reflecting metabolic risk. Participants were categorized into 3 tertiles (Q1–Q3). Based on survey data, participants classified disorder non-sleep groups. analysis included logistic regression, subgroup analysis, forest plots, survival analysis. average age 49 ± 18.00 years; 49% male. high-CMI group had older participants, more males, higher body mass index, triglycerides, hypertension ( P < .001). Higher significantly increased (odds ratio [OR] = 1.11, 95% CI: 1.02 1.21, .017), prevalence being greater in Q3 than Q1 (OR 1.46, 1.27 1.68, ≤ After adjusting for demographics, persisted 1.13, 1.03–1.24, .014). mortality rate ≤.001), a 34% death 1.34, 1.08–1.67, .021). found that risks Understanding this may help monitoring assessing severity. could serve cost-effective indicator assessment.

Language: Английский

Citations

0

Positive Association Between the Cardiometabolic Index and the Risk of Male Biochemical Androgen Deficiency in Adults DOI Creative Commons
Shanhua Mao, Wei Huang, Jia‐Qing Luo

et al.

The Kaohsiung Journal of Medical Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

ABSTRACT Metabolic disorders are associated with testosterone deficiency, and the cardiometabolic index (CMI) is a recently identified metabolic indicator. The relationship between male biochemical androgen deficiency (MBAD), precursor to CMI remains unclear. In this cross‐sectional study, we analyzed data from National Health Nutrition Examination Survey (NHANES) 2013–2016 investigate MBAD in men. This study included 1229 participants; among which, 209 participants had MBAD. Machine learning models that importance of on was top three. After adjusting for all covariates, found positive association Restricted cubic spline (RCS) curves validated both age body mass subgroups. Trend regression showed higher tended have risk persisted after multiple interpolations, validating robustness results. Altogether, suggests exhibits stable

Language: Английский

Citations

0

Longitudinal changes and patterns in cardiometabolic index and the natural course of prediabetes in the China health and retirement longitudinal study DOI Creative Commons
Yang Zou,

Chunyuan Jiang,

Hongyi Yang

et al.

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: April 24, 2025

Prediabetes is one of the most common metabolic disorders in aging process. This study aims to investigate longitudinal changes Cardiometabolic Index (CMI) and their relationship with natural course prediabetes middle-aged elderly populations. used data from China Health Retirement Longitudinal Study. The was describe trend glycemic development during follow-up, defined as progression diabetes or regression normoglycaemia. CMI were categorized into transition patterns (consistently-low, low-to-high, high-to-low, consistently-high) cumulative (CumCMI) exposure. CumCMI calculated ratio mean values measured surveys total duration According inclusion exclusion criteria, a 2,544 prediabetic participants Study cohort included study. During median follow-up 3 years, rates follows consistently-low, consistently-high pattern groups: 9.94%, 16.55%, 11.72%, 20.32% for progression; 24.97%, 22.37%, 23.81%, 20.42% regression, respectively. Regarding progression, our results found that high baseline level exposure significantly increased risk developing patients. Furthermore, compared low-to-high group, consistently-low protective Concerning we only observed negative correlation between outcomes (age ≥ 60 years). Specifically, levels hindered elderly. In this prospective populations, associated prediabetes. High events recovery normoglycaemia Moreover, maintaining reduced

Language: Английский

Citations

0

Association between cardiometabolic index and congestive heart failure among US adults: a cross-sectional study DOI Creative Commons
Xi Luo, Bin Cai

Frontiers in Cardiovascular Medicine, Journal Year: 2024, Volume and Issue: 11

Published: Sept. 10, 2024

The risk of congestive heart failure (CHF) is significantly affected by obesity. However, data on the association between visceral obesity and CHF remain limited. We explored relationship cardiometabolic index (CMI).

Language: Английский

Citations

3

Liver function differences in atherosclerotic cardiovascular disease: a multi-ethnic dual-cohort retrospective study DOI Creative Commons
Yifei Wang, Zichen Zhang,

Wenbo Ren

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: March 24, 2025

Background and aims Liver function plays a pivotal role in the initiation progression of atherosclerotic cardiovascular disease (ASCVD). Exploring potential associations between liver assessment indicators ASCVD is essential for understanding liver’s involvement pathogenesis. However, specific relationships these are still debated. This study to conduct an in-depth comparative analysis variations various among populations patients. Methods A dual-cohort retrospective cross-sectional design was employed, using data from 15,943 patients at First Hospital Jilin University 472 National Health Nutrition Examination Survey (NHANES) database. indicators, including enzymatic, protein synthesis, bilirubin metabolism indices, lipid profile parameters, were analyzed. Inclusion exclusion criteria rigorously applied, followed by univariate regression, multivariate regression stratified subgroup analyses. Results Hepatocyte damage (aspartate aminotransferase, alanine gamma-glutamyl transferase, alkaline phosphatase) total identified as risk factors ASCVD. Albumin showed protective effect. Globulin levels differed significantly cohorts. Cholinesterase (cohort 1) protein, cholesterol 2) no significant changes Conclusion Many correlated with There differences healthy volunteers. Although some may be weakly due confounding factors, this provides scientific rationale developing more precise prevention treatment strategies future.

Language: Английский

Citations

0