Evidence map›Paper›PMID 42752169›Full record

ArticlePsychological assessment2026

Evaluating the Beck Depression Inventory-II Fast Screen in middle-aged and older adults using random forests and factor analytic methods.

Hyunjung Lee, Elizabeth Breen, Julia E Culhane, Amanda T Calcetas, Denise S Oleas, Alexander W Slaughter, Ali P Block, Alexander Robateau, Heining Cham, Alyssa Arentoft and 7 more

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Article in Psychological assessment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

17 authors.

Hyunjung LeeDepartment of Psychology, Fordham University.ORCID 0000-0003-0445-7799
Elizabeth BreenDepartment of Medical Neuroscience, Indiana University School of Medicine.
Julia E CulhaneDepartment of Psychology, Fordham University.
Amanda T CalcetasDepartment of Psychology, Fordham University.
Denise S OleasDepartment of Psychology, Fordham University.
Alexander W SlaughterDepartment of Psychology, Fordham University.
Ali P BlockDepartment of Neurology, Icahn School of Medicine at Mount Sinai.
Alexander RobateauDepartment of Neurology, Icahn School of Medicine at Mount Sinai.
Heining ChamDepartment of Psychology, Fordham University.
Alyssa ArentoftDepartment of Psychology, California State University, Northridge.
Vanessa A GuzmanDepartment of Neurology, Icahn School of Medicine at Mount Sinai.
Kaori Kubo GermanoDepartment of Psychology, Fordham University.
Jessica Robinson-PappDepartment of Neurology, Icahn School of Medicine at Mount Sinai.
Stephen CubbellottiDepartment of Neurology, Icahn School of Medicine at Mount Sinai.
Sandra TalaveraDepartment of Psychology, Fordham University.
Desiree ByrdDepartment of Neurology, Icahn School of Medicine at Mount Sinai.
Monica Rivera MindtDepartment of Psychology, Fordham University.

Funding

Study of Aging Latinas/os for Understanding Dementia in HIV (SALUD HIV)R01AG065110 · NIA · FORDHAM UNIVERSITY · PI RIVERA-MINDT, MONICA G. · 2020 to 2024
$4.1M
Study of Aging Latinas/os for Understanding Dementia in HIV (SALUD HIV)R56AG065110 · NIA · FORDHAM UNIVERSITY · PI RIVERA-MINDT, MONICA G. · 2019 to 2019
$832k
Alzheimer's AssociationNational Institutes of Health; National Institute on AgingNIA NIH HHS R01 AG065110NIA NIH HHS R56 AG065110
6 · The paper itself

Abstract

The Beck Depression Inventory-Fast Screen (BDI-FS) consists of seven items from the Beck Depression Inventory-II and is used to screen for depression in individuals with medical illness. The BDI-FS omits somatic items common in physical health conditions. However, these items may more accurately predict depression for some individuals, and their utility has not been empirically evaluated. This study aimed to (a) evaluate the convergent validity for the Beck Depression Inventory-II and BDI-FS within an ethnoculturally heterogeneous sample of middle-aged and older adults, including individuals with chronic medical conditions and (b) identify the subset of items from the Beck Depression Inventory-II that best predict current major depressive episode. We hypothesized that an alternate, empirically derived model would outperform the existing BDI-FS. Participants included 186 adults (age

Identifiers

PMID42752169
PMCPMC13587688

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.