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Record W4410507055 · doi:10.1017/s0954579425000239

Patterns of continuity and discontinuity of childhood maltreatment across generations: A meta-analysis

2025· article· en· W4410507055 on OpenAlexaff
Sheri Madigan, Jessica Turgeon, Nicole Racine, Jenney Zhu, Lenneke R. A. Alink, Whitney Ereyi-Osas, Greta E. Jang, Pasco Fearon

Bibliographic record

VenueDevelopment and Psychopathology · 2025
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsChild, Adolescent and Family Mental HealthChildren's Hospital of Eastern OntarioUniversity of OttawaAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsNeglectPsychologyPhysical abuseCycle of violencePsychological abuseSexual abuseModerationChild abuseChild neglectDevelopmental psychologyClinical psychologyPoison controlDomestic violenceInjury preventionPsychiatrySocial psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

Empirical tests of the "cycle of maltreatment" hypothesis have typically focused on the presence or absence of child maltreatment across generations. However, this narrow focus does not account for diverse intergenerational pathways of maltreatment. This systematic review and meta-analysis synthesizes data to determine the distribution of cycle maintainers, breakers, initiators, and unaffected families (i.e., controls). Of the 65 independent studies (80 samples), 30 examined intergenerational cycles of maltreatment broadly, while 27 reported data for physical abuse, 17 sexual abuse, 5 neglect, and 1 emotional abuse specifically. For maltreatment, 17.1% (95%CI: 12.1%, 22.1%) were cycle maintainers, 23.6% (95%CI: 18.0%, 29.2%) were cycle breakers, 11.4% (95%CI: 7.8%, 15.1%) were cycle initiators and 47.8% (95%CI: 39.7%, 55.9%) controls. Thus, although a parent's maltreatment history is a risk factor, results suggest that a greater proportion of parents break the cycle of maltreatment versus maintain it. Moderator analyses showed that study design, assessment methods, and demographic characteristics influence maltreatment transmission rates. Intergenerational patterns of physical, sexual, and emotional abuse and neglect are also detailed. Our findings underscore the complexity of intergenerational maltreatment, highlighting the need to explore not only its maintenance but also the protective factors that help break cycles and the risk factors that drive its initiation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.334
Teacher spread0.298 · 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 teacher head, 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

Citations2
Published2025
Admission routes1
Has abstractyes

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