Predicting Cognitive Change During Treatment for Inpatient Depression: Secondary Analysis From a Randomized Controlled Trial Article Swipe
Zoe A. Odering
,
Jennifer Jordan
,
Cameron Lacey
,
Christopher Frampton
,
Richard Porter
,
Katie M. Douglas
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1111/acps.70030
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1111/acps.70030
Introduction Individuals hospitalized with depression are particularly impacted by cognitive impairment. Identifying variables that predict improvements in cognition across treatment may inform more targeted and effective treatment approaches. We conducted secondary analyses to investigate baseline predictors of objective cognitive change in a severely depressed inpatient sample. Methods A randomized controlled trial (RCT) comparing 2 weeks of Activation Therapy (AT; Cognitive Activation combined with Behavioural Activation) with treatment‐as‐usual (TAU) was conducted in inpatients with major depression. Research assessments were conducted at baseline (on admission) and at 14 weeks (12 weeks after treatment‐end). A series of analyses of covariance models were conducted to examine associations between change in executive functioning/attention, verbal learning and memory, visuospatial learning and memory, and psychomotor speed, in global cognition, and a range of putative baseline predictor variables (e.g., demographic, mood, cognition, general functioning, childhood trauma) across the whole RCT sample. Treatment arm was included as a fixed factor in all models. Sensitivity analyses were run in the AT group only to examine predictors of cognitive change in those receiving this targeted cognitive treatment. Results Sixty‐eight individuals completed baseline and follow‐up cognitive testing assessments in the RCT (AT, n = 32, TAU, n = 36). Significantly poorer domain‐specific baseline cognitive functioning was associated with greater cognitive improvement in all four domains. Older age was associated with less cognitive change in verbal learning and memory, visuospatial learning and memory, psychomotor speed, and global cognition. Sensitivity analyses (AT group only) identified these same factors as significant predictors. Conclusion Age and domain‐specific baseline cognitive performance were consistently associated with cognitive change in this RCT. Findings suggest that cognition seems to recover better in younger inpatients with poorer baseline cognitive functioning. Clinical Registration: Australian New Zealand Clinical Trials Registry [ANZCTR], ACTRN12617000024347p.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/acps.70030
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/acps.70030
- OA Status
- hybrid
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413899743
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413899743Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/acps.70030Digital Object Identifier
- Title
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Predicting Cognitive Change During Treatment for Inpatient Depression: Secondary Analysis From a Randomized Controlled TrialWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-09-01Full publication date if available
- Authors
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Zoe A. Odering, Jennifer Jordan, Cameron Lacey, Christopher Frampton, Richard Porter, Katie M. DouglasList of authors in order
- Landing page
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https://doi.org/10.1111/acps.70030Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/acps.70030Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/acps.70030Direct OA link when available
- Concepts
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Cognition, Randomized controlled trial, Mood, Psychomotor learning, Psychology, Verbal learning, Verbal memory, Clinical psychology, Cognitive decline, Depression (economics), Medicine, Psychiatry, Dementia, Internal medicine, Disease, Macroeconomics, EconomicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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