University of Twente Student Theses

Login

Predictive ability of well-being for class membership of latent classes of eating disorder pathology change

Schmilgus, E. (2023) Predictive ability of well-being for class membership of latent classes of eating disorder pathology change.

[img] PDF
473kB
Abstract:Eating Disorder (ED) treatment requires tailoring on a more individual level due to high variability in adaption, treatment course and outcomes. Construction of latent classes makes the variability visible on a more individual group level. This study included 1283 participants and used a naturalistic longitudinal design. Five measurements of eating disorder pathology (EDP) and well-being (WB) were measured every three months over a one-year duration. Latent growth curve modelling was applied to identify latent classes of change, multinominal regression was used to test WB as a predictor for class membership. First class was high symptom baseline, slow recovery (10.54%), the second-class low symptom baseline, fast recovery (54.44%) and the third-class moderate symptom baseline, moderate recovery (35.02%). WB predicted the membership to the high symptom baseline, slow recovery class and to the low symptom baseline, fast recovery class, but not the moderate symptom baseline, moderate recovery class. This study validated three class model for EDP change trajectories although the quality of the classes differentiates from previous studies. WB partly predicted membership to latent classes of change, but it is not clear if it predicts EDP level or change trajectory and therefore needs further research and validation.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/94838
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page