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Record W2080509214 · doi:10.1097/nmd.0b013e3181568149

Factors Linked to Distress in Mothers of Children Disclosing Sexual Abuse

2007· article· en· W2080509214 on OpenAlexaff
Martine Hébert, Isabelle Daigneault, Delphine Collin‐Vézina, Mireille Cyr

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2007
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité de MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsSexual abuseDistressClinical psychologyCoping (psychology)PsychologyPsychological interventionDomestic violenceFeelingPsychological abuseEmpowermentChild sexual abusePhysical abusePsychiatrySexual orientationPoison controlSuicide preventionMedicineMedical emergencySocial psychology

Abstract

fetched live from OpenAlex

The aim of the present study is to investigate the variability in clinical level of psychological distress experienced by mothers of sexually abused children by exploring the role of (a) abuse-related variables (length, severity, and identity of perpetrator), (b) a history of childhood sexual abuse and partner violence experienced in the past year, and (c) mothers' coping and feelings of empowerment. Data were collected through self-report measures completed by 149 French-speaking mothers of girls aged 4 to 12 years disclosing sexual abuse. Results revealed that more than half of the mothers reported clinical levels of psychological distress and experienced child sexual abuse, and 1 of 4 mothers experienced physical partner violence. Logistic regression analysis revealed that mother's sexual abuse and partner violence as well as avoidance coping and empowerment contributed to scores reaching clinical levels of psychological distress. In addition, mothers of child victims of intrafamilial sexual abuse are more likely to report clinical levels of distress. Results underscore the importance of evaluating for trauma history and taking coping strategies and empowerment into account in treatment interventions.

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 score0.077
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.022
GPT teacher head0.303
Teacher spread0.281 · 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

Citations44
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Nervous and Mental DiseaseSame topicChild Abuse and TraumaFrench-language works237,207