Inflammation mediates the association between muscle mass and accelerated phenotypic aging: results from the NHANES 2011–2018

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 6, 2025

Muscle mass plays a pivotal role in health maintenance, yet its connection to biological aging remains underexplored. This study investigates the association between appendicular skeletal muscle index (ASMI) and phenotypic age(PhenoAge), while examining mediating of systemic inflammation. The analysis included 7,440 participants from NHANES 2011-2018. Phenotypic Age Acceleration (PhenoAgeAccel) was calculated as residuals regressing PhenoAge on chronological age. Multivariable linear regression analyses were performed assess ASMI PhenoAgeAccel. Mediation conducted quantify extent which inflammation contributes this association. Our revealed that higher is linked slower aging, evidenced by lower PhenoAgeAccel (β = -0.48, 95% CI: -0.66 -0.29, p 0.0001). Systemic partially mediated effect, with mediation proportion 35.1%. varied notably across demographic health-related subgroups, being particularly significant females, individuals obesity, those physical activity. These findings highlight critical importance slowing emerging key mediator. public implications are substantial, suggesting targeted interventions-such resistance training, anti-inflammatory diets, personalized medical approaches-could play decelerating improving long-term outcomes.

Language: Английский

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Joint association of frailty index and biological aging with all-cause and cause-specific mortality: a population-based longitudinal cohort study

Archives of Gerontology and Geriatrics, Journal Year: 2025, Volume and Issue: unknown, P. 105856 - 105856

Published: April 1, 2025

The role of frailty in all-cause, cardiovascular, and cancer mortality is debatable, the modification effect biological aging remains unclear. Therefore, we aimed to evaluate joint association index with all-cause cause-specific mortality. In this population-based cohort study, data were obtained from National Health Nutrition Examination Survey (NHANES) Death Index (NDI). Demographic variables extracted, was constructed, calculated. All-cause deaths, cardiovascular disease (CVD) deaths extracted as outcomes. Cox proportional hazards regression models used estimate correlations, stratified subgroup analyses figure out modifiers, sensitivity confirm robustness. A total 22,729 NHANES participants included 6786 1830 CVD 1396 occurred during an average follow-up 8.5 years over a 192,601 person-years. hazard ratios (HRs) delayed group for mortality, 0.45 (95 % CI: 0.41-0.49), 0.39 0.34-0.45), 0.54 0.46-0.63), respectively, compared accelerated (P all comparisons < 0.001). Likewise, score positively associated (HR, 1.06 [95 CI, 1.06-1.06] per 0.01 increase index), 1.07 1.06-1.07] 1.04 1.03-1.04] index). associations modified by interaction = 0.044), but not 0.482). Accelerated higher index, whereas inversely risk Biological among These findings suggest that people high acceleration aging, lower degree decrease approaches such lifestyle modifications might be beneficial individual's longevity lifespan.

Language: Английский

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Association of triglyceride-glucose-related indices with adverse clinical outcomes in individuals with normal body mass index

Frontiers in Cardiovascular Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 24, 2025

The triglyceride-glucose (TyG) index serves as a reliable indicator of insulin resistance and metabolic risk factors. Most research has focused on obese individuals, with limited exploration in those normal body mass (BMI). This study analyzed 4,440 adults BMI from NHANES 2003-2018. Logistic regression, linear subgroup analysis, survival analysis examined the relationship between TyG-related indices (TyG, TyG-BMI, TyG-WC, TyG-WHtR) outcomes like liver fibrosis, stroke, cardiovascular disease (CVD), mortality. In 279 developed CVD, 134 had 1,382 548 died, median observation period 100 months (IQR, 59-145 months). TyG was divided into four quartiles (Q1, Q2, Q3, Q4) significant trends various clinical indicators across were observed (demographic characteristics, biochemical indicators). Further revealed correlations TyG, TyG-WHtR function metrics (ALT, AST, GGT, FIB-4, APRI), kidney (creatinine, eGFR, uric acid), blood lipids (triglycerides, cholesterol) (P < 0.01). Univariate logistic regression showed that compared to Q1, Q4 significantly higher death for all parameters 0.001). After adjusting cofounders, still fibrosis 0.05) mortality 0.001); TyG-BMI TyG-WC 0.001), stroke 0.01), CVD Subgroup yielded similar conclusions. Additionally. Survival differences different identified link markers negative individuals BMI, indicating exists even non-obese populations.

Language: Английский

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Biological Age Acceleration Associated with the Progression Trajectory of Cardio-Renal–Metabolic Multimorbidity: A Prospective Cohort Study

Nutrients, Journal Year: 2025, Volume and Issue: 17(11), P. 1783 - 1783

Published: May 24, 2025

Objectives: Previous studies have confirmed that biological age (BA) acceleration is associated with single cardio-renal–metabolic diseases (CRMDs), typically including type 2 diabetes mellitus, cardiovascular disease, and chronic kidney disease. However, its association progression to multimorbidity (CRMM, coexistence of ≥2 CRMDs) subsequent mortality remains unexplored. Methods: Using the multi-state model, we analyzed 278,927 UK Biobank participants free CRMDs at baseline investigate between BA acceleration—measured by phenotypic (PhenoAge) Klemera–Doubal method (KDMAge)—and CRMM trajectory, from health first CRMD then death. was residual regressing on chronological age; positive values indicated a biologically older individual. Results: PhenoAge showed stronger associations than KDMAge acceleration. Per 1-SD increase in acceleration; HRs (95% CIs) were observed 1.18 (1.17–1.19) for CRMD; 1.24 (1.22–1.26) CRMM; 1.25 (1.22–1.27) death; 1.13 (1.11–1.15) 1.09 (1.06–1.12) Biologically individuals greater reductions CRMD-free total life expectancy those Age, socioeconomic status, education, smoking alcohol consumption, physical activity, diet-modified risks specific transitions. Conclusions: acceleration, particularly relates higher risk shorter expectancy. Combining sociodemographic or lifestyle factors improves identification offers potential guide prevention across entire progression.

Language: Английский

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Risk of Insulin Resistance: Comparison of the Commerce vs. Industry Sector and Associated Variables

Diseases, Journal Year: 2025, Volume and Issue: 13(5), P. 150 - 150

Published: May 14, 2025

Insulin resistance (IR) is a key metabolic alteration that precedes type 2 diabetes and closely linked to obesity lifestyle factors. Occupational context may influence IR risk through variations in physical activity, diet, socioeconomic determinants. To compare the of insulin between workers commerce industry sectors identify associated sociodemographic factors, order improve their occupational health. This cross-sectional study analyzed data from 56,856 Spanish workers, assessing four IR-related indices: Triglyceride-Glucose Index (TyG), TyG-BMI (Triglyceride-Glucose Body Mass Index), Metabolic Score for Resistance (METS-IR), Single-Point Sensitivity Estimator (SPISE-IR). The analysis was stratified by sex sector (commerce vs. industry) included assessments age, education level, adherence Mediterranean smoking status. Multinomial logistic regressions were performed determine factors with high scores. Across all indicators, workers-particularly men-presented higher mean values greater prevalence high-risk scores compared those commerce. Women showed lower overall but also reflected sector-based differences. In both sexes, non-physical non-adherence consistently risk. Males exhibited significantly odds elevated TyG (OR = 2.59, 95% CI: 2.41-2.78), while inactivity poor diet emerged as most powerful modifiable predictors across scales (e.g., OR 10.45 TyG, 12.33 TyG-BMI). Industry independently more prevalent among industrial especially men unhealthy lifestyles. health strategies should target sector-specific profiles, emphasizing activity dietary interventions.

Language: Английский

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Association between cardiometabolic index and biological aging in the US population: evidence from NHANES 2015–2020

Frontiers in Aging Neuroscience, Journal Year: 2024, Volume and Issue: 16

Published: Nov. 29, 2024

It is crucial to identify biomarkers that influence the aging process and associated health risks, given growing severity of global population issue. The objectives our research were evaluate cardiac metabolic index (CMI) as a novel biomarker for identifying individuals at increased risk accelerated biological assess its use in guiding preventive strategies aging-related risks.

Language: Английский

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