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Dataset Information

Non-linear association between long-term air pollution exposure and risk of metabolic dysfunction-associated steatotic liver disease.


ABSTRACT:

Background

Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) has become a global epidemic, and air pollution has been identified as a potential risk factor. This study aims to investigate the non-linear relationship between ambient air pollution and MASLD prevalence.

Method

In this cross-sectional study, participants undergoing health checkups were assessed for three-year average air pollution exposure. MASLD diagnosis required hepatic steatosis with at least 1 out of 5 cardiometabolic criteria. A stepwise approach combining data visualization and regression modeling was used to determine the most appropriate link function between each of the six air pollutants and MASLD. A covariate-adjusted six-pollutant model was constructed accordingly.

Results

A to

SUBMITTER: Cheng WC 

PROVIDER: S-EPMC10898959 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature