Revisiting the Geriatric Depression Scale: An IRT-Based 10-Item Screen Outperforms the GDS-15 in Diagnostic Accuracy and Efficiency
<b>Background/Objective</b>: Existing abbreviated Geriatric Depression Scales (GDSs), derived via Classical Test Theory (CTT), often sacrifice accuracy for brevity and retain non-specific items. We aimed to develop a minimum-item GDS maintaining diagnostic performance equivalent to the full 30-item scale (GDS30) using Item Response Theory (IRT). <b>Methods</b>: This cross-sectional study employed rigorous 5:5 split-sample cross-validation. Participants included 6525 older adults (aged ≥60 years) from community-based (Korean Longitudinal Study on Cognitive Aging and Dementia) and clinical settings (geropsychiatry clinic). Depression was diagnosed through standardized clinical interviews based on DSM-IV criteria. Two-parameter logistic IRT models estimated item discrimination and difficulty parameters. Sequential item reduction with DeLong tests identified the minimum number of items required to maintain GDS30-equivalent area under the curve (AUC). <b>Results</b>: The 10-item IRT-optimized scale (GDS10-IRT) achieved an AUC of 0.856 (95% CI: 0.809-0.895) in the validation set, showing no significant difference from GDS30 (AUC = 0.883; <i>p</i> = 0.396). Conversely, the 15-item GDS (GDS15) demonstrated significantly lower AUC than GDS30 (<i>p</i> < 0.001) despite having more items. GDS10-IRT achieved a 234% improvement in efficiency ratio (AUC/items) over GDS30. Notably, Item 16 ("feeling downhearted and blue"), identified as the most discriminating symptom (a = 2.53), is absent from the GDS15 but included in GDS10-IRT. <b>Conclusions</b>: IRT-based item selection achieves GDS30-equivalent diagnostic accuracy with only 10 items, outperforming the widely used GDS15. By recovering high-discrimination items excluded by CTT, the GDS10-IRT offers a more efficient, specific screening tool for late-life depression.
Authors
- Jong Chul Youn (ORCID: https://orcid.org/0000-0002-2904-8951)
- S. A. Lee
- Seungho Ryu (ORCID: https://orcid.org/0000-0002-3927-8646)
- Joonhyuk Park (ORCID: https://orcid.org/0000-0002-3100-5934)
- Ji Won Han (ORCID: https://orcid.org/0000-0003-2418-4257)
- Tae Hui Kim (ORCID: https://orcid.org/0000-0003-0133-5227)
- Dae Jong Oh
- Bong Jo Kim
- Jeong Lan Kim
- Jin Hyeong Jhoo
- Dong Young Lee (ORCID: https://orcid.org/0009-0006-0924-6607)
- Dong Woo Lee
- Seok Woo Moon
- Ki Woong Kim
- Kyung Phil Kwak
- Jung Jae Lee
- Shin Gyeom Kim
Institutions
- Seoul National University (KR)
- Kangwon National University (KR)
- Gyeongju University (KR)
- Gyeongsang National University (KR)
- Chungnam National University (KR)
- Dongguk University (KR)
- Konkuk University (KR)
- Soonchunhyang University (KR)
- New Generation University College (ET)
- Seoul National University Hospital (KR)
- Seoul National University Bundang Hospital (KR)
- Konkuk University Medical Center (KR)
- Wonju Severance Christian Hospital (KR)
- Kangbuk Samsung Hospital (KR)
- Inje University Sanggye Paik Hospital (KR)
- Yongin Mental Hospital (KR)
- Jeju National University Hospital (KR)
- Dankook University Hospital (KR)
- Bucheon University (KR)
- Jeju National University (KR)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2026-01-07
- DOI
- https://doi.org/10.3390/jcm15020473
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Seoul National University Bundang Hospital
- Seoul National University
- Ministry of Science and ICT, South Korea
- Centers for Disease Control and Prevention
- Korea Centers for Disease Control and Prevention