Evidence map›Paper›PMID 31014265›Full record

ArticleBMC geriatrics2019

Elder abuse victimization patterns: latent class analysis using perpetrators and abusive behaviours.

Ana João Santos, Baltazar Nunes, Irina Kislaya, Ana Paula Gil, Oscar Ribeiro

Abstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Violence against the elderly: a retrospective analysis from a forensic medicine perspective.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
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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

5 authors.

Ana João SantosInstituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Porto, Portugal. ana.carvalho@insa.min-saude.pt.ORCID 0000-0003-0556-5513
Baltazar NunesDepartamento de Epidemiologia, Instituto Nacional de Saúde Dr. Ricardo Jorge, Av. Padre Cruz, 1649-016, Lisboa, Portugal.ORCID 0000-0001-6230-7209
Irina KislayaDepartamento de Epidemiologia, Instituto Nacional de Saúde Dr. Ricardo Jorge, Av. Padre Cruz, 1649-016, Lisboa, Portugal.ORCID 0000-0001-5772-2416
Ana Paula GilCICS.NOVA - Centro Interdisciplinar de Ciências Sociais, Faculdade de Ciências Sociais e Humanas da Universidade Nova de Lisboa, Av. de Berna, 26-C, 1069-061, Lisboa, Portugal.ORCID 0000-0002-6728-7689
Oscar RibeiroDepartamento de Educação e Psicologia, Universidade de Aveiro, Aveiro, Portugal.ORCID 0000-0003-4740-7951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on elder abuse has defined it as a multidimensional construct that encompasses a set of different abusive behaviours, victims, perpetrators and settings. The array of possible elder abuse configurations is difficult to capture. This study sought to identify victimization patterns that represent distinct elder abuse configurations based on specific abusive behaviours and on the relationship with the perpetrator; it also sought to determine the association between these latent classes with victims' characteristics.

methodData comes from two elder abuse surveys: a representative sample of community-dwelling adults and a convenience sample of older adults reporting elder abuse to four state and NGOs institutions. Latent Class Analysis (LCA) was used to categorize victimization in the population-based (N = 245) and in the victims' sample (N = 510) using 7 items measuring physical, psychological and financial abuse, and appointed perpetrators. Association tests were conducted to determine differences and similarities of victims' characteristics between the different obtained classes.

resultsThe LCA procedure identified six different latent classes of victimization experiences in each of the samples, which were statistically and plausibly distinct. In the population-based survey: verbal abuse by others (29%); psychological abuse from children/grandchildren (18%); overlooked by others (18%); stolen by others (15%); verbal Intimate Partner Violence (IPV) (14%) and physical and psychological IPV (6%). In the victims' survey: physical abuse by children/grandchildren (29%); physical IPV (26%); psychological abuse by children/grandchildren (18%); polyvictimization by others (16%); physical abuse by others (6%) and physical and psychological IPV (4%). In the victims survey the 6 groups significantly differ in age, gender, civil status, living arrangements, perceived social support and functional status.

conclusionsThe results support the possibility of the multidimensionality of elder abuse not being accounted by the "classical" abuse typologies. Elder abuse victims seeking help may represent a distinct group from that included in population-based prevalence studies. The appointed perpetrators may be the most meaningful and relevant aspect in distinguishing victimization experiences. Further research is needed to develop tailored interventions to specific elder abuse cases and enhance successful outcomes.

Indexed as

Latent Class AnalysisSurveys and QuestionnairesAgedAged, 80 and overCrime VictimsCross-Sectional StudiesElder AbuseFemaleHumansIntimate Partner ViolenceMaleMiddle AgedPrevalenceElder abuseLatent class analysis (LCA)PerpetratorsVictimization

Identifiers

PMID31014265
PMCPMC6480599

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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.