Validation of the WHO-5 as a first-step screening instrument for depression in adults with diabetes: Results from Diabetes MILES - Australia

Diabetes Res Clin Pract. 2017 Oct;132:27-35. doi: 10.1016/j.diabres.2017.07.005. Epub 2017 Jul 8.

Abstract

Aims: Screening for depression is recommended internationally. The World Health Organization's 5-item Well-being Index (WHO-5) is used clinically to screen for depression but its empirical suitability for this purpose is not well documented. We investigated the psychometric properties of the WHO-5 and its suitability for identifying likely depression in Australian adults with diabetes.

Methods: The Diabetes MILES - Australia study dataset provided a sample of N=3249 who completed the WHO-5 (positively-worded 5-item measure of emotional well-being) and the PHQ-9 (9-item measure of depressive symptoms). Analyses were conducted for the full sample, and separately by diabetes type and treatment (type 1, non-insulin-treated type 2, and insulin-treated type 2 diabetes). Construct (convergent and factorial) validity and reliability of the WHO-5 were examined. ROC analyses were used to examine the sensitivity and specificity of the WHO-5 as a depression screening instrument, comparing two commonly used WHO-5 cut-off values (≤7 and <13) with the PHQ-9.

Results: For the whole sample, the WHO-5 demonstrated satisfactory internal consistency reliability (α=0.90) and convergent validity with the PHQ-9 (r=-0.73, p<0.001). Confirmatory factor analysis partially supported factorial validity: Χ2(5)=834.94, p<0.001; RMSEA=0.23, 90% CI 0.21-0.24; CFI=0.98, TLI=0.96; factor loadings=0.78-0.92. The AUC was 0.87 (95% CI: 0.86-0.89, p<0.001). The sensitivity/specificity of the WHO-5 for detecting likely depression was 0.44/0.96 for the ≤7 cut-off, and 0.79/0.79 for the <13 cut-off, with similar findings by diabetes type and treatment.

Conclusions: These findings support use of a WHO-5 cut-point of <13 to identify likely depression in Australian adults with diabetes, regardless of type/treatment.

Keywords: Depression; Diabetes mellitus; Factor analysis, statistical; Psychometrics; ROC curve; Surveys and questionnaires.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Australia
  • Depression / psychology*
  • Diabetes Mellitus, Type 2 / psychology*
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Middle Aged
  • Psychometrics / methods*
  • Reproducibility of Results
  • Surveys and Questionnaires
  • Young Adult