The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index.
Psychometric Properties of the Beck Depression Inventory—II (BDI-II) Among Community-Dwelling Older Adults
Abstract
The psychometric properties of the Beck Depression Inventory—II (BDI-II) as a self-administered screening tool for depressive symptoms were examined in a sample of community-dwelling older and younger adults. Participants completed the BDI-II, the Center for Epidemiologic Studies Depression Scale, the Coolidge Axis II Inventory, the Perceived Stress Scale, and the Short Psychological Well-Being Scale. Internal reliability of the BDI-II was found to be good among older and younger adults. The average BDI-II depression score did not differ between younger and older adults. Solid evidence for convergent and discriminant validity was demonstrated by correlations between the BDI-II with the other measures. The BDI-II appears to have strong psychometric support as a screening measure for depression among older adults in the general population. Implications for using the BDI-II as an assessment instrument in behaviorally based psychotherapy are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The BDI-II has good reliability and validity and has shown high internal consistency [25].”
From CareACT - internet-based intervention for enhancing the psychological well-being of elderly caregivers - a study protocol of a controlled trial (2019) · cites this paper as [25]
In the citing paper
“The BDI-II has shown strong psychometric support as a screening instrument for depression among older adults in the general population.(Segal, Coolidge, Cahill, & O'Riley, 2008).”
From Supported Web-Based Acceptance and Commitment Therapy for Older Family Caregivers (CareACT) Compared to Usual Care. (2022) · cites this paper as Segal, Coolidge, Cahill, & O'Riley, 2008
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
A Global Measure of Perceived Stress
Cohen, S., Kamarck, T., & Mermelstein, R. (1983) · Journal of Health and Social Behavior · doi:10.2307/2136404 · Cited by 32,807
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2022) · doi:10.1176/appi.books.9780890425787 · Cited by 23,476
Diagnostic and Statistical Manual of Mental Disorders.
Widiger, T. A. (2000) · Oxford University Press eBooks · doi:10.1037/10518-009 · Cited by 19,766
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
Happiness is everything, or is it? Explorations on the meaning of psychological well-being.
Ryff, C. D. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.6.1069 · Cited by 14,847
Lewinsohn, P. M., Seeley, J. R., Roberts, R. E., & Allen, N. B. (1997) · Psychology and Aging · doi:10.1037/0882-7974.12.2.277 · Cited by 1,782
Anxiety and Depression in Later Life: Co-Occurrence and Communality of Risk Factors
Beekman, A. T. F., de Beurs, E., van Balkom, A. J. L. M., Deeg, D. J. H., van Dyck, R., & van Tilburg, W. (2000) · American Journal of Psychiatry · doi:10.1176/ajp.157.1.89 · Cited by 669
Research works printed but not linked: 2
- Beck, A.T., 1996, Manual for the Beck Depression Inventory—II
- Coolidge, F.L., 2004, Coolidge Axis II Inventory manual
Cited by
Sorted by citations
Items 301–334 of 334
Latinos with Dementia and Depression: Contemporary Issues and Assessment Challenges
Santiago‐Rivera, A. L., Benson-Flórez, G., & Warman, K. D. (2020) · Springer eBooks · doi:10.1007/978-1-0716-0132-7_6
Basaria, D., & Sahrani, R. (2021) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/assehr.k.210805.002
Rawal, N. M., Adhikari, S. P., Rajbhandari, S., Bhusal, S., Gupta, S., Piya, S. B., Soniya, K. C., Lama, S., & Shrestha, D. B. (2022) · F1000Research · doi:10.12688/f1000research.107813.1
Fantini‐Hauwel, C., Gély-Nargeot, M.-C., & Raffard, S. (2014) · Dunod eBooks · doi:10.3917/dunod.fanti.2014.01.0169
Fantini-Hauwel, C., Gély-Nargeot, M.-C., & Raffard, S. (2020) · Dunod eBooks · doi:10.3917/dunod.fanti.2020.01.0169
Tiba, A., Sîrbu, I., Drugas, M. I., Bora, C. H., Miclăuș, D., & Voss, L. (2022) · doi:10.31234/osf.io/w4z9e
Kazakh version of the beck depression inventory: Validation study in female cancer patients
Karibayeva, I. K., Turdaliyeva, B., Zainal, N. Z., Bagiyarova, F., & Kussainova, D. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18146
(2016) · Wiley eBooks · doi:10.1002/9781394258918.refs
Couto, N., Silva, A., Duarte, F., Cid, L., Bento, T., Santos‐Rocha, R., Brito, J. P., & Vitorino, A. (2024) · Retos · doi:10.47197/retos.v53.101281
Maggino, F. (2023) · Springer eBooks · doi:10.1007/978-3-031-17299-1_300362
Rating Instruments for Mood Disorders in Clinical Practice
Hett, D., & Marwaha, S. (2024) · Cambridge University Press eBooks · doi:10.1017/9781108973922.031
Peer-led online depression support groups: Potentially healthy and unhealthy associated behaviors
Kamicar, M., Abitante, G., Lovette, A. J., Wilson, R. A., Gao, J., & Cole, D. A. (2024) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2024.43.4.344
Prediction of Depression based on Early Maladaptive Schemas Mediated by Self-Compassion
Salimi, Z., Sabet, F. H., & Sohrābi, F. (2023) · Utāq-i bāzargānī. · doi:10.61186/ijpb.17.1.9
Pargo, M. N., Foroozandeh, E., Baradaran, M., & Khoshakhlagh, H. (2024) · Journal of Health and Care · doi:10.61186/jhc.26.4.379
Petrovitch, D., Hosford, S., Littlefield, A. K., & Austin-Robillard, H. (2025) · Drug Science Policy and Law · doi:10.1177/20503245251371724
Fishman, D. M. (2008) · OhioLink ETD Center (Ohio Library and Information Network)
Development of the Egregious/Promotive Factors Model to Guide Custody Evaluations
Tolle, L. W., & O’Donohue, W. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3405-4_4
Depression in Older Adults with Diabetes: Measurement and Implications for Care
Beverly, E. A., & Weinger, K. (2012) · Springer eBooks · doi:10.1007/978-0-85729-751-8_7
The relationships of empathy, oxytocin, and depression
Haglund, C. (2014) · University Library of Skövde (University of Skövde)
Pan, D., & Rehbein, C. (2025) · Ecopsychology · doi:10.1177/19429347251406250
How Temporal Predictability of Threat and Action Preparation Affect Defensive Freezing Responses
Koppold, A., Ehlers, M. R., Kastrinogiannis, A., Klaassen, F. H., Roelofs, K., & Lonsdorf, T. B. (2026) · Psychophysiology · doi:10.1111/psyp.70278 · Cited by 2
Kofoed, M. S., Tørring, P. M., Christensen, A. A., Lange, B., Haahr, P. D., Johansen, J. K., Kjeldsen, A. D., & Nielsen, T. H. (2026) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2026.109426
Efficient Depression Detection from Speech via Language-Independent Prompt-Driven Reprogramming
Kim, H. W., Jin, L., & Kim, E. Y. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11463362
Hernández-Mixteco, M., Valenzuela, O. L., Baranda-Jiménez, H. B., Soria-Herrera, R. J., Carmen, M., Castillo-Juárez, P., Domínguez-González, K., Villavicencio-Carrisoza, O., León-Juárez, M., Helguera-Repetto, A., et al. (2026) · Diseases · doi:10.3390/diseases14070255
Bhambhvani, H. P., Tzeng, M., & Lee, R. K. (2026) · Urology · doi:10.1016/j.urology.2026.07.021
Yun, N. Y., Yang, J., Lim, K., Park, S., Lee, G., Cho, B. J., Lee, G., Lee, H. S., Kim, D., & Shin, H. I. (2026) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2026.1857758
Kurniadi, N. E., Steele, J. S., Mattek, N., Guevara, J. E., & Duff, K. M. (2026) · Journal of Alzheimer s Disease · doi:10.1177/13872877261469182
Neuropsychological and Quality‐of‐Life Outcomes After Aneurysmal Subarachnoid Hemorrhage
Sagues, E., Diaz, L., Dam, A. V., Shenoy, N., Romero‐Soto, J., Biswas, S., Aamot, C., Gudino, A. S., Peethambar, G. A., Torner, J. C., et al. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.126.049224
Chesney, S. A. (2015) · e-Publications@Marquette (Marquette University)
Identification and clinical utility of subgroups of borderline personality disorder
Nesci, J. B. (2011) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27332637
Metadata
- Authors
- Segal, D. L., Coolidge, F. L., Cahill, B. S., & O'Riley, A. A.
- Affiliations
- University of Colorado Colorado Springs (US)
- University of Colorado at Colorado Springs
- Venue
- Behavior Modification
- Publisher
- SAGE Publications
- Published
- 2008-01
- Volume
- 32
- Issue
- 1
- Pages
- 3-20
- ISSN
- 0145-4455 (ISSN-L)
- 1552-4167
- OpenAlex
- W2026064198
- Cited by
- 335
- References
- 42
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 15 · 2023: 12 · 2022: 22 · 2021: 20 · 2020: 23 · 2019: 14 · 2018: 20 · 2017: 22 · 2016: 23 · 2015: 23 · 2014: 23 · 2013: 26 · 2012: 17
- FWCI
- 11.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavior Modification (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- Beck Depression Inventory-II, depression screening, older adults, psychometric properties, convergent validity, discriminant validity, internal consistency, depressive symptoms, perceived stress, psychological well-being, community-dwelling adults
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Depressive Disorder, Female, Humans, Male, Mass Screening, Middle Aged, Personality Inventory, Psychometrics, Quality of Life, Reproducibility of Results, Geriatric Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
