
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 12, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 12, 2024
Language: Английский
Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)
Published: Jan. 3, 2025
Heavy metal exposure is an emerging environmental risk factor linked to cardiovascular disease (CVD) through its effects on vascular ageing. However, the relationship between heavy and age have not been fully elucidated. This cross-sectional study analyzed data from 3,772 participants in National Health Nutrition Examination Survey (NHANES) 2005 2016. We measured urinary concentrations of nine metals assessed their associations with age, estimated pulse wave velocity (ePWV) heart (HVA). Additionally, sex-stratified analyses, Weighted Quantile Sum (WQS) regression Bayesian Kernel Machine Regression were conducted explore individual mixed exposures. Exposure such as cadmium (Cd) cesium (Cs), cobalt (Co), lead (Pb) was significantly associated increased odds ratios (OR) ranging 1.05 3.48 full adjusted models. Sex-stratified analyses indicated that including (Co) exposures had a more substantial impact males. WQS analysis consistently showed combined stronger men (OR for HVA = 3.89, 95% CI 2.91–5.28). highlights significant association age. Stratified illustrated might be susceptible multiple exposure. The findings underscore importance considering sex-specific responses interventions measures assessments managements. Further research needed validate these develop precise public health strategies targeting risks.
Language: Английский
Citations
1Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12
Published: March 26, 2025
Objectives Body mass index (BMI) is a commonly used parameters to measure obesity, but it cannot well reflect the distribution of body fat, which has limitations in clinical practice. Novel adiposity have emerged as substitution BMI assess obesity. This study aimed comprehensively investigate association between hyperuricemia and novel parameters. Methods We included data from National Health Nutrition Examination Survey 1999–2006. Weighted logistic regression was employed evaluate relations parameters, including roundness (BRI), weight-adjusted waist (WWI), shape (ABSI), conicity (CoI). To most diagnostic factor for hyperuricemia, receiver operating characteristic (ROC) curve analysis employed. The area under (AUC) power each parameter. Results 24,763 participants, 3,528 whom were diagnosed with hyperuricemia. Compared first quartile (Q1), fourth quartile’s (Q4) BRI, WWI, ABSI CoI linked an increased risk (OR: 9.34, 95% CI: 7.73–11.28; OR: 4.67, 3.97–5.49; 2.61, 2.26–3.02; 7.34, 6.12–8.81, respectively). relationship persisted after adjusting confounding factors. Among four obesity BRI had largest AUC good (AUC = 0.697 male 0.751 female). Conclusion In general population, larger are higher high value can be new evaluation provides basis prevention monitoring
Language: Английский
Citations
1Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 291, P. 117760 - 117760
Published: Feb. 1, 2025
Human exposure to heavy metals occurs through multiple pathways in daily life. However, the effects of mixed metal on accelerated aging elderly U.S. population remains unclear. This study aims investigate association between concentrations blood and urine onset aging. A total 2530 individuals were included analysis 716 this study. GrimAge acceleration (AgeAccelGrim) was calculated as residuals from regressing DNA methylation chronological age. Weighted multivariable logistic regression models applied analyze relationship with AgeAccelGrim. Bayesian kernel machine (BKMR) performed estimate individual or mixtures We found that cadmium (Cd) concentration positively associated an increased risk AgeAccelGrim both females males, odds ratios (OR) 5.73 (95 % confidence interval CI): 1.88-17.41, P trend = 0.008) 14.25 CI: 4.88-41.62, < 0.001), respectively. Moreover, these associations more pronounced for urinary Cd compared Cd. Blood lead (Pb) also a 3.52-fold 1.21-10.24, 0.007) increase among males. BKMR confirmed aforementioned findings, identifying most significant contributor Exposure metals, either individually mixture, biological These
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121180 - 121180
Published: Feb. 1, 2025
Language: Английский
Citations
0Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)
Published: Feb. 28, 2025
Triglyceride glucose index (TyG) serves as an effective parameter for assessing metabolic status. However, it remains uncertain whether TyG and other parameters can predict clinical outcomes in people with syndrome (MetS). We investigated the association of TyG, triglyceride glucose-waist to height ratio (TyG-WHtR), score insulin resistance (METS-IR) all-cause cardiovascular mortality MetS cohort determined this changes age. Participants enrolled National Health Nutrition Examination Survey (NHANES) between 2001 2018 were selected categorized into two groups: younger individuals (age < 65 years) older ≥ years). Three new indices TyG-WHtR, METS-IR constructed. The weighted Cox proportional hazards model restricted cubic spline (RCS) models employed evaluate relation three outcomes. time-dependent receiver operating characteristic (ROC) curve assessed ability different mortality. Sensitivity analysis was conducted robustness reliability findings. study comprised a total 8271 participants, including 5456 participants 2815 1407 deaths observed over median follow-up period 8.3 years. Compared first quartile (Q1), fourth quartile's (Q4) linked increased risk (HR 1.63, 95% CI 1.12–2.39; HR 2.78, 1.68–4.61; 1.36, 1.12–2.02, respectively) 2.04, 1.15–4.90; 4.99, 1.76–14.11; 2.69, 1.89–8.15, group but not group. RCS results showed no significant non-linear associations METS-IR, (P = 0.082; P 0.712; 0.062, or 0.176; 0.793; 0.482, age TyG-WHtR demonstrated highest area under predicting 3-year group, values 0.653 0.688 Our highlight predictive value population, providing evidence medical practice public health. A study, 100 months. Weighted COX regression (left), (upper right), (cut-off 36 months) (lower right). index; WHtR ratio; Metabolic resistance; syndrome.
Language: Английский
Citations
0Biological Trace Element Research, Journal Year: 2025, Volume and Issue: unknown
Published: March 21, 2025
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 4, 2025
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 12, 2024
Language: Английский
Citations
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