Intersectional analysis of social disparities in type 2 diabetes risk among adults in Germany: results from a nationwide population-based survey.

ABSTRACT:

Background

Differences in type 2 diabetes risk have been reported for several sociodemographic determinants including sex/gender or socioeconomic status. From an intersectional perspective, it is important to not only consider the role of social dimensions individually, but also their intersections. This allows for a deeper understanding of diabetes risk and preventive needs among diverse population groups.

Methods

As an intersectionality-informed approach, multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) was used in a population-based sample of adults without known diabetes in Germany from the cross-sectional survey "Disease knowledge and information needs- Diabetes mellitus (2017)". Diabetes risk was assessed by the German Diabetes Risk

SUBMITTER: Farber F 

PROVIDER: S-EPMC10874065 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature