The structure of the Hospital Anxiety and Depression Scale: Theoretical and methodological considerations
The Hospital Anxiety and Depression Scale (HADS; Zigmond ‐ Snaith, 1983) is widely used; however, its factor structure is unclear, with studies reporting differing unidimensional, two‐factor and three‐factor models. We aimed to address some key theoretical and methodological issues contributing to i...
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description | The Hospital Anxiety and Depression Scale (HADS; Zigmond ‐ Snaith, 1983) is widely used; however, its factor structure is unclear, with studies reporting differing unidimensional, two‐factor and three‐factor models. We aimed to address some key theoretical and methodological issues contributing to inconsistencies in HADS structures across samples. We reviewed existing HADS models and compared their fit using confirmatory factor analysis (CFA). We also investigated methodological effects by comparing factor structures derived from Rasch and Principal Components Analysis (PCA) methods, as well as effects of a negative wording factor. An Australian community‐dwelling sample consisting of 189 females and 158 males aged 17–86 (M = 35.73, SD = 17.41) completed the 14‐item HADS. The Rasch Analysis, PCA and CFA all supported the original two‐factor structure. Although some three‐factor models had good fit, they had unacceptable reliability. In the CFA, a hierarchical bifactor model with a general distress factor and uncorrelated depression and anxiety subscales produced the best fit, but the general factor was not unidimensional. The addition of a negative wording factor improved model fit. These findings highlight the effects of differing methodologies in producing inconsistent HADS factor structures across studies. Further replication of model fit across samples and refinement of the HADS items is warranted. |
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We aimed to address some key theoretical and methodological issues contributing to inconsistencies in HADS structures across samples. We reviewed existing HADS models and compared their fit using confirmatory factor analysis (CFA). We also investigated methodological effects by comparing factor structures derived from Rasch and Principal Components Analysis (PCA) methods, as well as effects of a negative wording factor. An Australian community‐dwelling sample consisting of 189 females and 158 males aged 17–86 (M = 35.73, SD = 17.41) completed the 14‐item HADS. The Rasch Analysis, PCA and CFA all supported the original two‐factor structure. Although some three‐factor models had good fit, they had unacceptable reliability. In the CFA, a hierarchical bifactor model with a general distress factor and uncorrelated depression and anxiety subscales produced the best fit, but the general factor was not unidimensional. The addition of a negative wording factor improved model fit. These findings highlight the effects of differing methodologies in producing inconsistent HADS factor structures across studies. Further replication of model fit across samples and refinement of the HADS items is warranted.</description><identifier>ISSN: 0007-1269</identifier><identifier>EISSN: 2044-8295</identifier><identifier>DOI: 10.1111/bjop.12637</identifier><identifier>PMID: 36745685</identifier><language>eng</language><publisher>England: British Psychological Society</publisher><subject>Anxiety ; Australia ; Confirmatory factor analysis ; Depression ; factor analysis ; Factor Analysis, Statistical ; Factor structures ; Female ; General factor ; Hospital Anxiety and Depression Scale ; Hospitals ; Humans ; Male ; Mental depression ; Methodological problems ; Principal components analysis ; psychological assessment ; Psychological distress ; Psychometrics ; Rasch model ; Reliability ; Reproducibility of Results ; Research methodology ; Surveys and Questionnaires ; Wording</subject><ispartof>The British journal of psychology, 2023-05, Vol.114 (2), p.457-475</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd on behalf of The British Psychological Society.</rights><rights>2023 The Authors. British Journal of Psychology published by John Wiley & Sons Ltd on behalf of The British Psychological Society.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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We aimed to address some key theoretical and methodological issues contributing to inconsistencies in HADS structures across samples. We reviewed existing HADS models and compared their fit using confirmatory factor analysis (CFA). We also investigated methodological effects by comparing factor structures derived from Rasch and Principal Components Analysis (PCA) methods, as well as effects of a negative wording factor. An Australian community‐dwelling sample consisting of 189 females and 158 males aged 17–86 (M = 35.73, SD = 17.41) completed the 14‐item HADS. The Rasch Analysis, PCA and CFA all supported the original two‐factor structure. Although some three‐factor models had good fit, they had unacceptable reliability. In the CFA, a hierarchical bifactor model with a general distress factor and uncorrelated depression and anxiety subscales produced the best fit, but the general factor was not unidimensional. The addition of a negative wording factor improved model fit. These findings highlight the effects of differing methodologies in producing inconsistent HADS factor structures across studies. Further replication of model fit across samples and refinement of the HADS items is warranted.</description><subject>Anxiety</subject><subject>Australia</subject><subject>Confirmatory factor analysis</subject><subject>Depression</subject><subject>factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Factor structures</subject><subject>Female</subject><subject>General factor</subject><subject>Hospital Anxiety and Depression Scale</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Male</subject><subject>Mental depression</subject><subject>Methodological problems</subject><subject>Principal components analysis</subject><subject>psychological assessment</subject><subject>Psychological distress</subject><subject>Psychometrics</subject><subject>Rasch model</subject><subject>Reliability</subject><subject>Reproducibility of Results</subject><subject>Research methodology</subject><subject>Surveys and Questionnaires</subject><subject>Wording</subject><issn>0007-1269</issn><issn>2044-8295</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp90UtPAyEQAGBiNLZWL_4As4kXY7IK7IPFW63vNNFEPW9YmLU022UFNtp_L23Vgwe5EGa-mQCD0CHBZySs82puujNC84RtoSHFaRoXlGfbaIgxZnFI8AHac26OMSGc8V00SHKWZnmRDZF-mUHkvO2l7y1Epo58CNwZ12kvmmjcfmrwy0i0KrqCzoJz2rTRsxQNXESh1ljwOpzWYgF-ZpRpzNs6JE3rtAIrfKhx-2inFo2Dg-99hF5vrl8md_H08fZ-Mp7GMuEJi2muUpkRyQueVkJAQYkgiawLWilV0fC8kK-VylMRGGFE1UUlAs4kJ6nIkhE62fTtrHnvwflyoZ2EphEtmN6VlLGEkRQnONDjP3RuetuG2wXFWUYpIzyo042S1jhnoS47qxfCLkuCy9UAytUAyvUAAj76btlXC1C_9OfHAyAb8KEbWP7Tqrx8eHzaNP0CE6yReA</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Lloyd, Maddison</creator><creator>Sugden, Nicole</creator><creator>Thomas, Matt</creator><creator>McGrath, Andrew</creator><creator>Skilbeck, Clive</creator><general>British Psychological Society</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9249-0219</orcidid><orcidid>https://orcid.org/0000-0002-1622-2092</orcidid><orcidid>https://orcid.org/0000-0002-7010-1136</orcidid></search><sort><creationdate>202305</creationdate><title>The structure of the Hospital Anxiety and Depression Scale: Theoretical and methodological considerations</title><author>Lloyd, Maddison ; 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subjects | Anxiety Australia Confirmatory factor analysis Depression factor analysis Factor Analysis, Statistical Factor structures Female General factor Hospital Anxiety and Depression Scale Hospitals Humans Male Mental depression Methodological problems Principal components analysis psychological assessment Psychological distress Psychometrics Rasch model Reliability Reproducibility of Results Research methodology Surveys and Questionnaires Wording |
title | The structure of the Hospital Anxiety and Depression Scale: Theoretical and methodological considerations |
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