Quality of identification of latent class analysis (LCA)-derived anxious depression classes by total Diabetes Anxiety Depression Scale (DADS) score (n (%)).

Dataset

Description

Data from: The utility of the Diabetes Anxiety Depression Scale in Type 2 diabetes mellitus: The Fremantle Diabetes Study Phase II

Background

Previous research using latent class analysis (LCA) identified classes of people with type 2 diabetes and specific profiles of depression and anxiety. Since LCA-derived anxious depression strongly predicts cardiovascular outcomes and mortality but cannot be applied to individuals, we developed a validated combined depression-anxiety metric, the Diabetes Anxiety Depression Scale (DADS), for potential clinical application in people with type 2 diabetes.

Methods

1,337 participants with type 2 diabetes from the observational community-based Fremantle Diabetes Study Phase II completed the Patient Health Questionnaire 9-item version (PHQ-9) to assess symptoms of depression, and the Generalised Anxiety Disorder Scale (GADS) to assess symptoms of anxiety. A single score was calculated by adding all the PHQ-9 items and the four GADS items used for the LCA. Cut-off scores were calculated with Receiver Operating Characteristic (ROC) area under the curve (AUC).

Results

The optimum cut-off scores in terms of sensitivity, specificity, positive and negative predictive value were 18 points for major anxious depression and 8 points for minor anxious depression. A score of 8–17 was associated with a significantly increased incidence of coronary heart disease, whereas a score 18–39 was associated with an increase in both coronary heart disease and cardiovascular mortality.

Conclusions

The DADS has strong psychometric validity in the identification of mixed depression-anxiety in type 2 diabetes, and may contribute to cardiovascular risk prediction.
Date made available15 Mar 2018
PublisherPublic Library of Science (PLoS)

Keywords

  • Medicine and health sciences
  • Mental health and psychiatry
  • Mood disorders
  • Depression
  • 110319 Psychiatry (incl. Psychotherapy)

Cite this

Davis, W. A. (Creator), Bruce, D. G. (Creator), Dragovic, M. (Creator), Davis, T. M. (Creator), Starkstein, S. E. (Creator)(15 Mar 2018). Quality of identification of latent class analysis (LCA)-derived anxious depression classes by total Diabetes Anxiety Depression Scale (DADS) score (n (%)). Public Library of Science (PLoS). 10.1371/journal.pone.0194417.s001