Latent structure and measurement invariance of the Hospital Anxiety and Depression Scale in cancer outpatients

• Elisabeth L. Zeilinger ^[1] ; Ingo W. Nader ^[4] ; Wolfgang Wiedermann ^[2] ; Mencia R. Gutierrez-Colosia ^[3] ; Matthias Unseld ^[1] ; Simone Lubowitzki ^[1] ; Markus Raderer ^[1] ; Philipp B. Staber ^[1] ; Peter Valent ^[1] ; Alexander Gaiger ^[1]
  1. [1] Medical University of Vienna

     Medical University of Vienna

     Innere Stadt, Austria

     
  2. [2] University of Missouri

     University of Missouri

     Township of Columbia, Estados Unidos

     
  3. [3] Universidad Loyola Andalucía

     Universidad Loyola Andalucía

     Sevilla, España

     
  4. [4] IT-Power Services GmbH, Vienna, Austria

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• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 22, Nº. 3, 2022, págs. 1-10
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2022.100315
• Enlaces
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• Dialnet Métricas: 1 Cita
• Resumen

  • Background/Objective The aim of the present study was to compare competing psychometric models and analyze measurement invariance of the Hospital Anxiety and Depression Scale (HADS) in cancer outpatients.

    Method The sample included 3,260 cancer outpatients. Latent structure of the HADS was analyzed using confirmatory factor analysis (CFA) with robust maximum likelihood estimation (MLR). Measurement invariance was tested for age, time of response, gender, and cancer type by comparing nested multigroup CFA models with parameter restrictions.

    Results Except for the one-factor solutions, all models showed acceptable model fit and measurement invariance. The model with the best fit was the originally proposed two-factor model with exclusion of two items. The one-factor solutions showed inacceptable model fit and were not invariant for age and gender.

    Conclusions The HADS has a robust two-factor structure in cancer outpatients. We recommend excluding item 7 and 10 when screening for anxiety and depression.

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