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Latent structure and measurement invariance of the Hospital Anxiety and Depression Scale in cancer outpatients
Zeilinger, Elisabeth L; Nader, Ingo W; Wiedermann, Wolfgang; Gutierrez-Colosia, Mencia R; Unseld, Matthias; Lubowitzki, Simone; Raderer, Markus; Staber, Philipp B; Valent, Peter; Gaiger, Alexander.
Affiliation
  • Zeilinger, Elisabeth L; Medical University of Vienna. Department of Internal Medicine I. Division of Hematology and Hemostaseology. Vienna. Austria
  • Nader, Ingo W; IT-Power Services GmbH. Vienna. Austria
  • Wiedermann, Wolfgang; University of Missouri. College of Education & Human Development and Missouri Prevention Science Institute. Columbia. USA
  • Gutierrez-Colosia, Mencia R; Universidad Loyola Andalucía. Department of Psychology. Sevilla. Spain
  • Unseld, Matthias; Medical University of Vienna. Department of Internal Medicine I. Division of Palliative Medicine. Vienna. Austria
  • Lubowitzki, Simone; Medical University of Vienna. Department of Internal Medicine I. Division of Hematology and Hemostaseology. Vienna. Austria
  • Raderer, Markus; Medical University of Vienna. Department of Internal Medicine I. Division of Oncology. Vienna. Austria
  • Staber, Philipp B; Medical University of Vienna. Department of Internal Medicine I. Division of Hematology and Hemostaseology. Vienna. Austria
  • Valent, Peter; Medical University of Vienna. Department of Internal Medicine I. Division of Hematology and Hemostaseology. Vienna. Austria
  • Gaiger, Alexander; Medical University of Vienna. Department of Internal Medicine I. Division of Hematology and Hemostaseology. Vienna. Austria
Int. j. clin. health psychol. (Internet) ; 22(3): 1-9, Sept. - dec. 2022. tab, graf
Article in English | IBECS | ID: ibc-208415
Responsible library: ES1.1
Localization: BNCS
ABSTRACT
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. (AU)
Subject(s)


Full text: Available Collection: National databases / Spain Database: IBECS Main subject: Anxiety / Depression / Neoplasms Limits: Adult / Aged / Humans Language: English Journal: Int. j. clin. health psychol. (Internet) Year: 2022 Document type: Article Institution/Affiliation country: IT-Power Services GmbH/Austria / Medical University of Vienna/Austria / Universidad Loyola Andalucía/Spain / University of Missouri/USA

Full text: Available Collection: National databases / Spain Database: IBECS Main subject: Anxiety / Depression / Neoplasms Limits: Adult / Aged / Humans Language: English Journal: Int. j. clin. health psychol. (Internet) Year: 2022 Document type: Article Institution/Affiliation country: IT-Power Services GmbH/Austria / Medical University of Vienna/Austria / Universidad Loyola Andalucía/Spain / University of Missouri/USA
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