Evidence map›Paper›PMID 39073245›Full record

ArticleAustralasian journal on ageing2024

The prevalence of, and factors associated with, a risk of depression in residential aged care services residents: Findings from the FIRST study.

Tomomichi Sakai, Agathe Daria Jadczak, Ashna Khalid, Ronaldo D Piovezan, Shalem Leemaqz, Renuka Visvanathan

Abstract read
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In one paragraph

Article in Australasian journal on ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tomomichi SakaiAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0003-4057-4247
Agathe Daria JadczakAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-7501-7996
Ashna KhalidAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Ronaldo D PiovezanAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.
Shalem LeemaqzSouth Australian Health and Medical Research Institute (SAHMRI) Women and Kids, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.
Renuka VisvanathanAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-1303-9479

Funding

Hospital Research FoundationNational Health and Medical Research Council of Australia through the Centre of Research Excellence Scheme 1102208Resthaven Inc. through the GTRAC-Resthaven Research Grants SchemeSouth Australian Department for Innovation and Skills
6 · The paper itself

Abstract

objectivesDepression is common amongst Australian residential aged care services (RACS) residents. This study aimed to estimate the risk of depression amongst residents and identify factors associated with this risk. In care settings such as RACS, time-efficient screening tools to identify depression risk may be a preferred tool.

methodsThe two-item Patient Health Questionnaire (PHQ-2), derived from the nine-item PHQ-9 used commonly in the United States (US), was employed in this study. A resident was identified as being at risk of depression where the score was ≥3. Multivariable logistic regression analysis was used to identify independent factors associated with being at risk of depression.

resultsResidents' mean age was 87.7 (standard deviation: 7.3) years and 73% were female. One-fifth of residents (n = 108 or 20%) were at risk of depression. Age (odds ratio [OR] 0.96, 95% confidence interval [CI] 0.93-0.99); Pain Assessment in Advanced Dementia (PAINAD) score (OR 1.55, 95% CI 1.11-2.16); Epworth Sleepiness Scale (ESS) score (OR 1.08, 95% CI 1.03-1.13); and 38-item Frailty Index (FI) score (OR 1.07, 95% CI 1.03-1.10) were significantly associated with being at risk of depression, whilst sex, urinary incontinence, polypharmacy, Dementia Severity Rating Scale (DSRS) and Nursing Home Life Space Diameter (NHLSD) score were not.

conclusionsOne in five residents were at risk of depression. Younger age, higher pain, higher daytime sleepiness and higher frailty status were associated with depressive risk. Future studies focusing on interventions targeting these factors may contribute to improved health outcomes.

Indexed as

DepressionHomes for the AgedAgedAged, 80 and overAge FactorsAustraliaFemaleGeriatric AssessmentHumansMaleNursing HomesPrevalenceRisk AssessmentRisk Factorsagingdepressionearly diagnosisresidential facilities

Identifiers

PMID39073245
PMCPMC11671712

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Registered trials

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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.