Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank.

ABSTRACT:

Background

Little is known regarding life-course trajectories of important diseases. We aimed to identify diseases that were strongly associated with mortality and test temporal trajectories of these diseases before mortality.

Methods

Our analysis was based on UK Biobank. Diseases were identified using questionnaires, nurses' interviews, or inpatient data. Mortality register data were used to identify mortality up to January 2021. The association between 60 individual diseases at baseline and in the life course and incident mortality was examined using Cox proportional regression models. Those diseases with great contribution to mortality were identified and disease trajectories in life course were then derived.

Results

During a median follow-up of 11.8 years, 31,373

SUBMITTER: Shang X 

PROVIDER: S-EPMC9137080 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature