Application of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study.

ABSTRACT:

Background and method

This study set out to identify the factors and combinations of factors associated with the individual's premature death, using data from the Finnish Longitudinal Study on Ageing Municipal Employees (FLAME) which involved 6,257 participants over a 29-year follow-up period. Exact dates of death were obtained from the Finnish population register. Premature death was defined as a death occurring earlier than the age- and sex-specific actuarial life expectancy indicated by life tables for 1981, as the baseline, with the threshold period of nine months. Explanatory variables encompassed sociodemographic characteristics, health and functioning, health behaviors, subjective experiences, working conditions, and work abilities. Data were mined using the General Unary Hy

SUBMITTER: Nosraty L 

PROVIDER: S-EPMC11771032 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature