Evidence map›Paper›PMID 41215812›Full record

ArticleInnovation in aging2025

Risk factors for elder abuse severity: findings from the Canadian longitudinal study on aging.

David Burnes, Clémentine Rotsaert, Mark S Lachs, Karl A Pillemer

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

David BurnesFactor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-9151-3255
Clémentine RotsaertFaculty of Arts and Science, University of Toronto, Toronto, Ontario, Canada.
Mark S LachsGeriatrics and Palliative Medicine, Weill Cornell Medicine, New York, New York, United States.
Karl A PillemerCollege of Human Ecology, Cornell University, Ithaca, New York, United States.ORCID https://orcid.org/0000-0002-7700-3563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Elder abuse (EA) conceptualizations are evolving from conventional binary understandings toward a severity lens that more accurately captures the spectrum of victim experiences and complexity of EA intervention. Although momentum behind a focus on severity has grown, our understanding of EA severity risk factors is methodologically limited by studies using clinical convenience samples and/or cross-sectional designs. Informed by the Contextual Theory of Elder Abuse, this article sought to advance the state of science surrounding EA severity risk factors using data from a longitudinal, population-based design and examining factors from several levels of ecological influence. Research Design and Methods: Using the Canadian Longitudinal Study on Aging, this study analyzed a sample of EA victims ( Results: Across subtypes, the most consistent risk factors for heightened EA severity were perpetrator cohabitation and the older adult's experience of child maltreatment. Other risk factors were identified across physical, psycho-emotional, social, and sociocultural domains. Risk profiles varied across mistreatment subtypes. Discussion and Implications: This study represents the most methodologically rigorous examination of EA severity risk conducted to date. Findings will enhance our capacity to identify EA victims in particularly harmful scenarios and inform mechanistically driven interventions designed to reduce the magnitude of the problem, as well as practice decisions related to case prioritization, triaging, and risk assessment.

Indexed as

CLSAEcologicalLife course perspectiveMistreatment

Identifiers

PMID41215812
PMCPMC12596471

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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.