Population attributable fractions for Type 2 diabetes: an examination of multiple risk factors including symptoms of depression and anxiety.

ABSTRACT:

Background

Population attributable fractions (PAFs) are frequently used to quantify the proportion of Type 2 diabetes cases due to single risk factors, an approach which may result in an overestimation of their individual contributions. This study aimed to examine Type 2 diabetes incidence associated with multiple risk factor combinations, including the metabolic syndrome, behavioural factors, and specifically, depression and anxiety.

Methods

Using data from the population-based HUNT cohort, we examined incident diabetes in 36,161 Norwegian adults from 1995 to 2008. PAFs were calculated using Miettinen's case-based formula, using relative risks estimated from multivariate regression models.

Results

Overall, the studied risk factors accounted for 50.5% of new diabetes

SUBMITTER: Naicker K 

PROVIDER: S-EPMC6251110 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature