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Record W7066451418

Identifying patterns of delinquency and victimization and their associations with mental disorders: a population-based investigation among Ontario children

2023· dissertation· en· W7066451418 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsJuvenile delinquencyMental healthContext (archaeology)Poison controlSuicide preventionSocioeconomic statusOccupational safety and health
DOInot available

Abstract

fetched live from OpenAlex

Childhood and early adolescence are a critical period when individuals are at greater risk of engaging in delinquent behaviours – such as theft, vandalism, and assault – as committers, victims, or both. Current data on delinquent behaviours among children in the Canadian context are limited. However, a 2012 report found that 37% of Canadian children under 20 reported having engaged in at least one of these delinquent behaviours in their lifetime and that 40% had been victimized at least once in the past year. \n \nSimilarly, the transition between childhood and early adolescence has been shown to be when most mental health disorders develop. While the majority of children with mental disorder do not participate in delinquent behaviors, mental disorders are more prevalent among individuals accused of, or victimized by crime (39% and 37%), than in the general population (26%). Delinquency or victimization can further compound existing health and social inequities related to mental disorder, previous trauma, or low socioeconomic status that dampens health, social, and economic trajectories throughout the lifespan. Given their high prevalence, long-term effects, and associations with other poor health behaviours and outcomes, delinquency and victimization among children is of public health concern. \n \nTypically, research has examined delinquency and victimization separately when determining their associations with health outcomes despite knowledge that delinquency and victimization often co-occur. Further, while children spend most of their time at home and school, findings from both settings are not often investigated together. There has also been limited study of delinquency, victimization, and mental health in the general population. \n \nTo address these knowledge gaps this dissertation examined differences in how parents and teachers report delinquency, what classes of delinquency and victimization are present among children, and how these classes are associated with mental disorders. Specifically, the study objectives were to: 1) determine the prevalence of delinquency and victimization among children; 2) define the level of agreement between parent and teacher reports of child delinquency; 3) examine the effects of child and informant characteristics on level of agreement; 4) identify specific patterns of delinquency and victimization across home and school settings; 5) examine the relationships between latent class membership and child and informant characteristics; 6) delineate the associations between latent classes and mental disorders; and 7) explore the moderating effect of covariates on the associations between latent classes and mental disorders. To accomplish these objectives the analyses used data from the 2014 Ontario Child Health Study and included children aged 4-14 years. \n \nThe first manuscript developed a trifactor model to examine levels of agreement between parent and teacher reports of delinquent behaviours, and the effects child and informant characteristics had on levels of agreement. Results showed low levels of agreement between parents and teachers. Further, older child age, female reporting parents, lower income households, immigrant households, and parental depression were associated with greater agreement between parents and teachers. Lower parental education and lower teacher experience were associated with lesser agreement. These findings indicate that children exhibit delinquent behaviours differently between home and school settings. \n \nThe second manuscript used latent class analysis to identify four classes of children, indicating patterns of co-occurrence of delinquent behaviors and victimization experiences: low victimization and low delinquency, moderate victimization and moderate school delinquency, high victimization and moderate home delinquency, and high victimization and high home and school delinquency. Results revealed that child sex, household income, ethnicity, parental education, and parental depression were associated with differences in class membership. These findings suggest that distinct subgroups of delinquent behaviours and victimization are present among children and that child and parent characteristics have an effect on the likelihood of membership. \n \nThe third manuscript conducted multinomial regression analysis to provide evidence on the associations between the determined latent classes and mental health disorders, and if child and informant characteristics moderated these associations. The results displayed that the high victimization and moderate home delinquency class was associated with both internalizing and externalizing disorders, while the high victimization and high home and school delinquency and moderate victimization and moderate school delinquency classes were associated with externalizing disorders. None of the covariates tested moderated these associations. These findings suggest that differential associations exist between latent classes of delinquency and victimization and mental health disorders. \n \nThis body of research fills a critical gap in terms of knowledge of how child delinquency and victimization co-occur across home and school contexts, and associations with internalizing and externalizing disorders. Taken together, these findings conclude that mental health and social behaviour interventions should account for different patterns of delinquency and victimization and adopt a trauma-informed approach. Due to the high prevalence of delinquent behaviours and experiences of victimization, universal prevention programs should be implemented to reduce frequency and worsening impact and behaviours. Future longitudinal research should investigate the temporality of delinquent behaviours, victimization, and mental health to strengthen understandings of these items and points for effective 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 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 score0.029
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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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