Ontology highlight
ABSTRACT: Objective
To estimate type 2 diabetes incidence trends by sex and socioeconomic position (SEP) and evaluate trends in SEP-related inequalities in incidence.Design
Ecological study using ambulatory claims data and regression-based modelling.Setting
All 401 counties in Germany, covering the entire country.Participants
All individuals with statutory health insurance (~85% of the population). Incident cases of type 2 diabetes were identified annually from 2014 to 2019 using the International Statistical Classification of Diseases and Related Health Problems, 10th revision codes.Primary and secondary outcome measures
Incident type 2 diabetes at the county level, adjusted for age and modelled using a mixed negative binomial regression. SEP was measured usi
SUBMITTER: Piedboeuf-Potyka K
PROVIDER: S-EPMC12273173 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature