Patterns and associated factors of diabetes self-management: Results of a latent class analysis in a German population-based study.

ABSTRACT:

Objective

Few studies on diabetes self-management considered the patterns and relationships of different self-management behaviours (SMB). The aims of the present study are 1) to identify patterns of SMB among persons with diabetes, 2) to identify sociodemographic and disease-related predictors of SMB among persons with diabetes.

Research design and methods

The present analysis includes data of 1,466 persons (age 18 to 99 years; 44.0% female; 56.0% male) with diabetes (type I and II) from the population-based study German Health Update 2014/2015 (GEDA 2014/2015-EHIS). We used latent class analysis in order to distinguish different patterns of self-management behaviours among persons with diabetes. The assessment of SMB was based on seven self-reported activities by responden

SUBMITTER: Heise M 

PROVIDER: S-EPMC7978380 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature