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Record W95340461

Problem behaviour and health problems : an inter-generational study of parents with childhood histories of aggression and social withdrawal with their offspring

2005· dissertation· en· W95340461 on OpenAlexaboutno aff
Natacha M. De Genna

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2005
Typedissertation
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsLongitudinal studyAggressionPsychologyOffspringDisadvantagedDevelopmental psychologyMedicineHealth carePregnancy
DOInot available

Abstract

fetched live from OpenAlex

There is evidence from longitudinal studies of individuals with childhood problem behaviours that this behavioural risk may translate into health-risk and health problems in adulthood, with implications for health-risk in the next generation. The purpose of this dissertation was to examine the long-term sequelae of childhood aggression and withdrawal on health-risk, health problems, and health-promoting behaviours such as preventative care and use of services. The Concordia Longitudinal Risk Project is a prospective, inter-generational study of individuals from disadvantaged neighborhoods in Montreal, including girls and boys who were selected for extreme levels of aggression and social withdrawal. These individuals were followed across childhood and into adulthood, allowing us to examine processes of continuity and change, primarily experiential factors that precede and support cessation of unhealthy behaviour. In the inter-generational phase of the project, mothers were visited at home at two time points: when offspring were 1-6 years old, and again at 9-12 years old. At both waves of testing, mothers were interviewed about their health-risk, and medical histories were taken for mothers and their target child. In addition, during Study 1 mothers were asked about their adolescent health-risk behaviours and provided obstetric histories, and were asked in Study 2 about preventative health behaviours and use of developmental and medical services. Results indicated that girls who were both highly aggressive and socially withdrawn showed the earliest signs of health-risk behaviour, and that adolescent health risk behaviour was a marker for poor health management in adulthood. Girlhood aggression was a risk factor for health-risk behaviour in both studies, and maternal health-risk behaviours were shown to have a direct impact on health outcomes in offspring. Although the pattern was not as clear for childhood withdrawal, this characteristic appeared to be linked more closely to psychosocial risk than medical risk. Offspring of withdrawn parents were more likely to be prescribed medication during the second wave of testing. Taken together, there was evidence that early problem behaviour was linked to health-risk in adulthood and for young offspring. The results of these two studies have important implications for the long-term sequelae of childhood aggression and withdrawal, and the inter-generational transfer of health-risk.

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)0.003
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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
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 head0.030
GPT teacher head0.296
Teacher spread0.266 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

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