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Record W7162068207 · doi:10.82308/17032

Parenting After Child Maltreatment: An Examination of Risk and Protective Factors for Unsupportive Emotion Socialization and its Impact on Young Adult Offspring

2023· dissertation· en· W7162068207 on OpenAlexaboutno aff
Sarah Cabecinha‐Alati

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationStressorYoung adultOffspringDistressMental healthAffect (linguistics)Family systems theory

Abstract

fetched live from OpenAlex

Child maltreatment (CM) is a widespread problem in Canada that is known to impede the healthy emotional development of affected individuals and their families. In adults, a history of CM has been associated with maladaptive parenting behaviours and poor mental health outcomes among offspring in the next generation. Although several studies have investigated the mechanisms involved in the intergenerational transmission of these negative outcomes, only a handful of them have investigated the role of emotion regulation difficulties and parents’ emotion-related socialization behaviours (ERSBs). Moreover, given that CM is associated with a host of other negative sequalae across the individual, relational, and community level, it is important to discern the relative influence of multi-level factors on parents’ ERSBs and to identify protective factors that may disrupt cycles of maladaptive parenting. Drawing from Gratz and Roemer’s model of emotional dysregulation, theories of emotion socialization (Eisenberg et al., 1998; Morris et al., 2007), and Belsky’s (1984) process model of the determinants of parenting, the program of research outlined in this dissertation aimed to elucidate how a history of CM and associated stressors and supports may influence parents’ contingent responses to emotions and the intergenerational transmission of emotion regulation difficulties. Mothers and their young adult children (aged 18-25) were recruited from across Canada to participate in an online research project (N = 185 dyads). Study 1 demonstrated that mothers who endorsed more types of CM were described by their young adults as more likely to use unsupportive contingencies during adolescence, but only when mothers also endorsed high levels of emotion regulation difficulties. In particular, maternal difficulties with impulse control and emotional clarity contributed to unsupportive contingencies. Further, a moderated mediation analysis revealed that mothers’ CM histories had a positive, indirect effect on young adults’ emotion regulation difficulties that occurred through mothers’ unsupportive contingencies, but this effect was only evident when mothers had high levels of emotion regulation difficulties themselves. Subsequently, Study 2 examined multi-level factors, in addition to child maltreatment and impulse control difficulties, that might contribute to, or discourage, unsupportive emotion socialization. The results of a hierarchical linear regression analysis revealed that mothers who reported higher impulse control difficulties, who experienced greater revictimization, and who had more severe dissociative symptoms were rated as higher in their use of unsupportive contingencies. However, when contextual supports were added into the model, only revictimization remained associated with unsupportive contingencies. Further, mothers’ positive perceptions of the parent-child attachment relationship were negatively associated with unsupportive contingencies. These findings contribute to our understanding of the relationship between a history of CM and parental emotion socialization by identifying specific dimensions of emotion regulation that might contribute to unsupportive contingencies and the intergenerational transmission of emotion regulation difficulties. They also emphasize the importance of ameliorating dissociative symptoms, reducing impulse control difficulties, preventing revictimization, and bolstering parent-child attachment, thereby illuminating potential avenues for prevention and intervention for parents with histories of CM

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.306
Threshold uncertainty score0.609

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.320
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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