Ontology highlight
ABSTRACT: Background & aims
Little is known on the gender-specific effect and potential role of non-linear associations between metabolic syndrome (MetS) components and liver cancer risk. We evaluated these associations based on the UK Biobank cohort.Methods
We included 474,929 individuals without previous cancer based on the UK Biobank cohort. Gender-specific hazard ratios (HRs) and 95% confidence interval (CIs) were calculated by Cox proportional hazards regression, adjusting for potential confounders. Non-linear associations for individual MetS components were assessed by the restricted cubic spline method.Results
Over a median follow-up of 6.6 years, we observed 276 cases of liver cancer (175 men, 101 women). MetS [HR 1.48, 95% CI 1.27-1.72] and central obesity [HR 1.65,
SUBMITTER: Xia B
PROVIDER: S-EPMC8499577 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature