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Record W4403008384 · doi:10.1177/15248380241282995

Parental History of Childhood Maltreatment and Offspring Attachment Insecurity and Disorganization: Two Meta-Analyses

2024· review· en· W4403008384 on OpenAlexafffund
Aino Sirparanta, Camille Danner Touati, Chantal Cyr, Raphaële Miljkovitch

Bibliographic record

VenueTrauma Violence & Abuse · 2024
Typereview
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité du Québec à Montréal
FundersCanada Research Chairs
KeywordsOffspringMeta-analysisDevelopmental psychologyPsychologyFamily historyEarly childhoodDemographyMedicinePregnancyBiology

Abstract

fetched live from OpenAlex

Research findings have shown that parental history of childhood maltreatment (CM) increases the risk of insecure and disorganized attachment in offspring. However, the extent of the detrimental effects of childhood trauma on attachment in the next generation is unclear. The current meta-analyses aimed at synthesizing the available literature on the link between parental history of CM and offspring attachment insecurity and disorganization (with no restriction of offspring age). In total, 25 studies (23 unique samples; N = 2,592) comprising u = 61 effect sizes were included. Offspring age ranged from 12 to 79 months ( M weighted = 18.69; SD weighted = 11.53). Findings from two three-level random effects meta-analyses revealed a weak but significant combined effect of parental history of CM on child attachment insecurity ( k = 20, u = 35, r = .06) and a non-significant effect on child attachment disorganization ( k = 12, u = 26, r = .03). For the meta-analysis on disorganization, effect sizes were weaker in more recent studies, and trim and fill analyses provided evidence of publication bias. These findings provide a nuanced view of the intergenerational transmission of childhood trauma phenomenon, whereby parents’ self-reported history of CM does not appear decisive for child attachment. Conclusions could not be drawn for specific types of CM because of the small number of studies. Research with more objective measures of parental exposure to CM is needed to gain a more comprehensive view of the possible intergenerational effects of CM on child attachment.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
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)0.0010.000

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 head0.138
GPT teacher head0.401
Teacher spread0.263 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations5
Published2024
Admission routes2
Has abstractyes

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