King's College London

Research portal

The Hospital Anxiety and Depression Scale: a meta confirmatory factor analysis

Research output: Contribution to journalArticlepeer-review

Sam Norton, Theodore Cosco, Frank Doyle, John Done, Amanda Sacker

Original languageEnglish
Pages (from-to)74-81
Number of pages7
JournalJournal of Psychosomatic Research
Volume74
Issue number1
Early online date20 Nov 2012
DOIs
E-pub ahead of print20 Nov 2012
PublishedJan 2013

Documents

  • HADS_MCFA_prepub.pdf

    HADS_MCFA_prepub.pdf, 880 KB, application/pdf

    Version:Submitted manuscript

  • HADS_MCFA_A1

    hads_meta_analysis_appendix_a1_reanal.pdf, 174 KB, application/pdf

    Version:Submitted manuscript

  • HADS_MCFA_A2

    hads_meta_analysis_appendix_a2_pooled.pdf, 96.8 KB, application/pdf

    Uploaded date:21 Jul 2015

    Version:Submitted manuscript

King's Authors

Abstract

Objective: To systematically evaluate the latent structure of the Hospital Anxiety and Depression Scale (HADS) through reanalysis of previous studies and meta confirmatory factor analysis (CFA).
Method: Data from 28 samples were obtained from published studies concerning the latent structure of the HADS. Ten models were considered, including eight previously identified models and two bifactor models. The fit of each model was assessed separately in each sample and by meta CFA. Meta CFA was conducted using all samples and using subgroups consisting of community samples, cardiovascular disease samples and samples from studies administering the English language version of the HADS.
Results: A bifactor model including all items loading onto a general distress factor and two orthogonal anxiety and depression group factors provided the best fit for the majority of samples. Meta CFA provided further support for the bifactor model with two group factors. This was the case using all samples, as well as all subgroup analyses. The general distress factor explained 73% of the covariance between items, with the (autonomic) anxiety and (anhedonic) depression factors explaining 11% and 16%, respectively.
Conclusion: A bifactor structure provides the most acceptable empirical explanation for the HADS correlation structure. Due to the presence of a strong general factor, the HADS does not provide good separation between symptoms of anxiety and depression. We recommend it is best used as a measure of general distress

Download statistics

No data available

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454