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Record W2999288427 · doi:10.31389/jltc.15

Depression and Aggressive Behaviour in Continuing Care: How Cognitive Impairment Might Not Explain the Whole Story

2020· article· en· W2999288427 on OpenAlexaboutno aff
Éric R. Thériault, Amy Grant

Bibliographic record

VenueJournal of Long-Term Care · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Clinical psychologyContext (archaeology)CognitionPsychologyNeurocognitivePsychiatryMedicine

Abstract

fetched live from OpenAlex

Context: There is currently little research examining the relationship between depression and aggressive behaviour among individuals receiving long-term care. Previous research has focused on older adults with neurocognitive disorders (e.g., Alzheimer’s). These studies have found a positive association between aggressive behaviour and depression and are additionally associated with cognitive impairment in older adults.Objectives: The current study aims to better understand the relationship between aggressive behaviour and depression amongst older adults with and without cognitive impairment, as previous studies have not yet examined how these relationships may differ across levels of cognitive functioning.Methods: Data from the Continuing Care Reporting System administered by the Canadian Institute for Health Information was used. At the time of analysis, data for individuals receiving continuing care was available across seven Canadian provinces and one territory.Findings: Data from 2,682,612 individuals were extracted (Mage = 80.42, SD = 11.5). A positive relationship between aggressive behaviour and depressive symptoms was found for those with and without cognitive impairment. There was no evidence of a mediating effect of cognitive impairment on aggressive behaviour. Individuals with symptoms of depression demonstrated more aggressive behaviours.Limitations: A limitation of the current work is the cross-sectional nature of the data examined. This restricts the ability to determine causation, and the questions of “Do depressive symptoms predict aggressive behaviour?” or “Are aggressive behaviours early symptoms of depression?” remain.Implications: These findings indicate that, independent of cognition, those with depressive symptoms are more likely to exhibit aggressive behaviour. Recommendations on identification and treatment of depression in this population are discussed and related policy changes are considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.250
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.005
Scholarly communication0.0040.006
Open science0.0030.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.288
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of Long-Term CareSame topicElder Abuse and NeglectFrench-language works237,207