Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample

Background: Although homeless or precariously housed populations have a high prevalence of depression, the suitability of existing symptom measurement tools remains unknown. The present study explores the psychometric properties and correlates of the Beck Depression Inventory (BDI) in a community-ba...

Full description

Bibliographic Details
Main Authors: Lianne L. Cho, Andrea A. Jones, Skye Barbic, Olga Leonova, Fidel Vila-Rodriguez, Tari Buchanan, Donna J. Lang, G. William MacEwan, Ric M. Procyshyn, William J. Panenka, Alasdair M. Barr, Allen E. Thornton, Kristina M. Gicas, William G. Honer
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Journal of Affective Disorders Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666915321001554
id doaj-2ccb635f3d3a4c2c807279d669d354a4
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Lianne L. Cho
Andrea A. Jones
Skye Barbic
Olga Leonova
Fidel Vila-Rodriguez
Tari Buchanan
Donna J. Lang
G. William MacEwan
Ric M. Procyshyn
William J. Panenka
Alasdair M. Barr
Allen E. Thornton
Kristina M. Gicas
William G. Honer
spellingShingle Lianne L. Cho
Andrea A. Jones
Skye Barbic
Olga Leonova
Fidel Vila-Rodriguez
Tari Buchanan
Donna J. Lang
G. William MacEwan
Ric M. Procyshyn
William J. Panenka
Alasdair M. Barr
Allen E. Thornton
Kristina M. Gicas
William G. Honer
Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample
Journal of Affective Disorders Reports
Depression
Homeless and precariously housed
Psychometric properties
Beck Depression Inventory
author_facet Lianne L. Cho
Andrea A. Jones
Skye Barbic
Olga Leonova
Fidel Vila-Rodriguez
Tari Buchanan
Donna J. Lang
G. William MacEwan
Ric M. Procyshyn
William J. Panenka
Alasdair M. Barr
Allen E. Thornton
Kristina M. Gicas
William G. Honer
author_sort Lianne L. Cho
title Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample
title_short Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample
title_full Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample
title_fullStr Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample
title_full_unstemmed Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sample
title_sort psychometric properties and correlates of the beck depression inventory in a community-based and homeless or precariously housed sample
publisher Elsevier
series Journal of Affective Disorders Reports
issn 2666-9153
publishDate 2021-12-01
description Background: Although homeless or precariously housed populations have a high prevalence of depression, the suitability of existing symptom measurement tools remains unknown. The present study explores the psychometric properties and correlates of the Beck Depression Inventory (BDI) in a community-based sample. Methods: 475 participants recruited from an impoverished neighbourhood in Canada completed the BDI, as well as multiple other clinical assessments. Validity, reliability, and change sensitivity were assessed, and a receiver operating characteristic (ROC) curve was analysed to determine a threshold score for clinical depression. Relationships between BDI scores and psychiatric diagnoses, gender, age, and functional outcomes were studied. Results: A wide range of BDI scores (0–58) was found among participants across psychiatric diagnoses. Convergent validity with psychopathology scores was present (r = 0.659, p < 0.001). Test-retest reliability was excellent (intraclass correlation = 0.915, p < 0.001), as was internal consistency (Cronbach's α = 0.907) and change sensitivity (F = 7.801, p = 0.007). The ROC curve indicated a threshold score = 19 for detecting clinical depression with moderate sensitivity (70%) and specificity (78%). High BDI scores were more strongly associated with poor functioning in older than in younger participants (estimate = -0.003, p = 0.006). Limitations: The generalizability to other vulnerable populations is uncertain. Conclusion: The BDI exhibits sufficient validity and reliability for assessing depressive symptom severity in a community-based, homeless or precariously housed sample, and may aid assessing the severity of clinical depression. BDI scores may also signal functional impairment in older persons in these groups.
topic Depression
Homeless and precariously housed
Psychometric properties
Beck Depression Inventory
url http://www.sciencedirect.com/science/article/pii/S2666915321001554
work_keys_str_mv AT liannelcho psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT andreaajones psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT skyebarbic psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT olgaleonova psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT fidelvilarodriguez psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT taribuchanan psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT donnajlang psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT gwilliammacewan psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT ricmprocyshyn psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT williamjpanenka psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT alasdairmbarr psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT allenethornton psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT kristinamgicas psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
AT williamghoner psychometricpropertiesandcorrelatesofthebeckdepressioninventoryinacommunitybasedandhomelessorprecariouslyhousedsample
_version_ 1717368787013992448
spelling doaj-2ccb635f3d3a4c2c807279d669d354a42021-09-25T05:12:05ZengElsevierJournal of Affective Disorders Reports2666-91532021-12-016100229Psychometric properties and correlates of the Beck Depression Inventory in a community-based and homeless or precariously housed sampleLianne L. Cho0Andrea A. Jones1Skye Barbic2Olga Leonova3Fidel Vila-Rodriguez4Tari Buchanan5Donna J. Lang6G. William MacEwan7Ric M. Procyshyn8William J. Panenka9Alasdair M. Barr10Allen E. Thornton11Kristina M. Gicas12William G. Honer13Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, Canada; BC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, Canada; Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, CanadaDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, British Columbia, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, CanadaBC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada; Department of Radiology, University of British Columbia, Vancouver, British Columbia, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, Canada; BC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, CanadaBC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada; Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, CanadaBC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada; Department of Anesthesia, Pharmacology &amp; Therapeutics, University of British Columbia, Vancouver, British Columbia, CanadaDepartment of Psychology, Simon Fraser University, Burnaby, British Columbia, CanadaDepartment of Psychology, York University, Toronto, Ontario, CanadaDepartment of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, Canada; BC Mental Health and Substance Use Services Research Institute, Vancouver, British Columbia, Canada; Corresponding author at: Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, British Columbia V6T 2A1, Canada.Background: Although homeless or precariously housed populations have a high prevalence of depression, the suitability of existing symptom measurement tools remains unknown. The present study explores the psychometric properties and correlates of the Beck Depression Inventory (BDI) in a community-based sample. Methods: 475 participants recruited from an impoverished neighbourhood in Canada completed the BDI, as well as multiple other clinical assessments. Validity, reliability, and change sensitivity were assessed, and a receiver operating characteristic (ROC) curve was analysed to determine a threshold score for clinical depression. Relationships between BDI scores and psychiatric diagnoses, gender, age, and functional outcomes were studied. Results: A wide range of BDI scores (0–58) was found among participants across psychiatric diagnoses. Convergent validity with psychopathology scores was present (r = 0.659, p < 0.001). Test-retest reliability was excellent (intraclass correlation = 0.915, p < 0.001), as was internal consistency (Cronbach's α = 0.907) and change sensitivity (F = 7.801, p = 0.007). The ROC curve indicated a threshold score = 19 for detecting clinical depression with moderate sensitivity (70%) and specificity (78%). High BDI scores were more strongly associated with poor functioning in older than in younger participants (estimate = -0.003, p = 0.006). Limitations: The generalizability to other vulnerable populations is uncertain. Conclusion: The BDI exhibits sufficient validity and reliability for assessing depressive symptom severity in a community-based, homeless or precariously housed sample, and may aid assessing the severity of clinical depression. BDI scores may also signal functional impairment in older persons in these groups.http://www.sciencedirect.com/science/article/pii/S2666915321001554DepressionHomeless and precariously housedPsychometric propertiesBeck Depression Inventory