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ABSTRACT: Objective
To develop a tool to inform individuals and general practitioners about benefits of lifestyle changes by providing estimates of the expected age of death (EAD) for different risk factor values, and for those who plan and decide on preventive activities and health services at population level, to calculate potential need for these.Design
Prospective cohort study to estimate EAD using a model with 27 established risk factors, categorised into four groups: (1) sociodemographic background and medical history, (2) lifestyles, (3) life satisfaction, and (4) biological risk factors. We apply a Poisson regression model on the survival data split into 1-year intervals.Participants
Total of 38 549 participants aged 25-74 years at baseline of the National FINRISK Stu
SUBMITTER: Harkanen T
PROVIDER: S-EPMC7064132 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature