MétaCan
Menu
Back to cohort
Record W7062362590

Stress and family dysfunction: Examining their influence on mental health outcomes and service use in the offspring of parents with affective disorders

2024· dissertation· en· W7062362590 on OpenAlexfundno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2024
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Power Generation Technologies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaNederlandse Organisatie voor Wetenschappelijk OnderzoekBrain and Behavior Research Foundation
KeywordsMental healthOffspringMediationMental health serviceLongitudinal studyTracking (education)
DOInot available

Abstract

fetched live from OpenAlex

Offspring of parents with affective disorders (OAD) are at risk of developing a wide range of mental disorders. Deficits in the rearing environment and exposure to adverse events are well known risk factors for negative outcomes in OAD. Building on prior research, this thesis aimed to examine the longitudinal relationships between familial dysfunction, exposure to adverse events, emotional and behavioural well-being, and mental health service utilization in OAD and control offspring of parents with no affective disorder. Studies 1 and 2 in the thesis used data from the TRacking Adolescents’ Individual Lives Survey, a longitudinal study of youth in the Netherlands. 2230 participants (51% female, Mage= 11.1 years, SD = 0.6, at baseline) and their parents completed questionnaires across 6 time points, spanning 15 years. Mental health and behavioural data were measured using standardized questionnaires, while adverse life events and health service utilization were assessed using structured interviews. In the first study, multi- group structured equation modelling revealed that family dysfunction was linked to internalizing and externalizing problems in the OAD (B = 0.05, SD = 0.02, p = .008), but not in controls (B = 0.06, SD = 0.01, p = .636), and that this relationship was stable from middle childhood to adulthood. In the second study, we expanded the scope of investigation from family functioning to cumulative environmental risk, referring to the assessment of multiple risk factors in families, and mental health service utilization. Results from moderated mediation analyses revealed that the OAD were more likely to seek out more intensive mental health services as adults than controls (CI = [0.01, 0.15]), as a function of their cumulative environmental risk and subsequent significant mental health need. Study 3 examined whether a preventative intervention to improve family functioning in OAD might improve offspring’s internalizing and externalizing symptoms through changes in parenting stress. In this study, we compared the offspring of a parent having bipolar disorder (OBD), who underwent the Reducing Unwanted Stress in the Home (RUSH) intervention program, with control offspring. Designed as a quasi-experiment, in which the control group underwent an assessment-only condition, families of both groups completed assessments pre- and post-intervention, as well as at 3- and 6-month follow-ups. Mixed-modelling analyses revealed that improvements in parenting stress mediated the relationship between participation in the RUSH program and reduced offspring internalizing and externalizing symptoms at a six-month follow-up. Taken together, the results show that the OAD may be especially sensitive to stress in the rearing environment as compared to offspring of parents with no affective disorders. Adversity and dysfunction in the home environment might be a particularly salient risk factor for OAD, leading to the development of emotional and behavioural problems, as well as costly mental health interventions. Interventions aimed at improving the rearing environment during childhood may therefore improve developmental outcomes in the OAD and decrease the cost-of-care for these high risk families, as evidenced by the findings of this thesis.

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 score0.011
Threshold uncertainty score0.021

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.260
Teacher spread0.239 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueSpectrum Research Repository (Concordia University)Same topicAdvanced Power Generation TechnologiesFrench-language works237,207