Associations of polycyclic aromatic hydrocarbons mixtures with cardiovascular diseases mortality and all-cause mortality and the mediation role of phenotypic ageing: A time-to-event analysis

• DOI: 10.1016/j.envint.2024.108616
• Publication Date: 2024-03-29T16:29:09Z
• Authors: Siyu Duan; Yafei Wu; Junmin Zhu; Xing Wang; Ya Fang
• Keywords: Male; Adult; Aging; Mediation; Environmental Exposure; Middle Aged; Nutrition Surveys; 01 natural sciences; Polycyclic aromatic hydrocarbons; Environmental sciences; Cardiovascular diseases; Phenotype; Cardiovascular Diseases; Phenotypic ageing; Humans; GE1-350; Female; Mortality; Polycyclic Aromatic Hydrocarbons; Retrospective Studies; Aged; Proportional Hazards Models; 0105 earth and related environmental sciences

The associations of polycyclic aromatic hydrocarbons (PAHs) on cardiovascular diseases (CVDs) and all-cause mortality are unclear, especially the joint effects PAHs. Meanwhile, no studies have examined effect phenotypic ageing relationship between PAHs mortality. Therefore, this study aimed to investigate independent CVDs, mortality, assess whether age acceleration (PhenoAgeAccel) mediate relationship. We retrospectively collected data 11,983 adults from National Health Nutrition Examination Survey database. Firstly, Cox proportional hazards regression restricted cubic splines were applied evaluate association single PAH Further, time-dependent Probit extension Bayesian Kernel Machine Regression quantile-based g-computation models conducted test Then, difference method was used calculate mediation proportion PhenoAgeAccel in Our results revealed that exposure showed positive with CVDs By controlling potential confounders, 1-Hydroxynapthalene (1-NAP) (HR = 1.24, P 0.035) 2-Hydroxyfluorene (2-FLU) 1.25, < 0.001) they top 2 predictors (weight: 0.82 for 1-NAP, 0.14 2-FLU) 1-NAP 1.15, 2-FLU 1.13, also 0.66 0.34 2-FLU). mediates a 10.00 % 24.90 (P 0.05). Specifically, components including C-reactive protein, lymphocyte percent, white blood cell count, red distribution width, mean volume main contributors effects. highlights importance