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Record W1553500098

THE RELATIONSHIP BETWEEN CHILDHOOD- AND ADOLESCENT-ONSET PSYCHOPATHOLOGY AND ADULT BODY WEIGHT

2012· dissertation· en· W1553500098 on OpenAlexaboutno aff
Daphne J. Korczak

Bibliographic record

VenueMacSphere (McMaster University) · 2012
Typedissertation
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychopathologyPsychologyDevelopmental psychologyClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

Current public health initiatives recognize that obesity is increasing to epidemic proportions in developed countries. In keeping with the view of obesity as a developmental, progressive condition, targeting childhood factors that predict increases in body mass index (BMI) may result in the development of more effective prevention interventions. To date, prospective studies of child-onset psychopathology and adult overweight in representative community samples are limited by short duration of follow-up into adulthood and an inability to make psychiatric diagnoses. Where available, childhood data has been analyzed together with adolescent data, such that it is difficult to disentangle the relationship between early psychological distress and adult overweight in these developmentally heterogeneous groups. The main objective of this thesis is to examine the relationship between childhood and adolescent symptoms of (i) Depression (ii) Attention Deficit Hyperactivity Disorder [ADHD] and (iii) Conduct Disorder [CD] with adult overweight, in a large, prospectively followed, community sample of Canadian children. This thesis includes the 1,992 children aged 4-11 years and 1,302 adolescents aged 12-16 years who participated in the Ontario Child Health Survey (OCHS), a provincially funded, prospective cohort study of the psychiatric and general child health of a representative sample ofOntario community children undertaken in 1983 with follow-up assessment in 2000. Data are collected from multiple informants; psychiatric disorders are determined by a combination of parental, youth and teacher self-report and interviewer-administered measures. BMI is a derived variable determined from self-reported height and weight in 2000. Multiple regression analyses are undertaken to examine the association of child and adolescent mental illness with adult overweight, after controlling for the effects of age, sex, socioeconomic status, parental psychiatric history and, among the adolescent subgroup, cigarette smoking and alcohol use. Adults with a history of depression, ADHD or CD identified in childhood have increased body mass (BMI = 27.2 kg/m2, 27.7 kg/m2, and 27.9 kg/m2, respectively) compared to their nonaffected peers (BMI= 24.8 kg/m2). Children who experienced increased depressive symptoms (among boys) and CD symptoms (boys and girls) are at greater risk for future weight gain than children with fewer symptoms. Adolescent girls with Depression or Conduct Disorder are heavier in adulthood than their psychologically healthier peers. Although ADHD was initially found to be associated with adult overweight, this relationship is accounted for by the effect of conduct disturbance, regardless of child sex. This thesis suggests that psychopathology in childhood and adolescence predicts increased adult body mass in a large community sample ofOntarioyouth. In childhood, boys with depressive symptoms and boys and girls with disruptive behaviour are at particular risk. Among adolescents, girls with greater depressive symptoms or conduct disturbance are at increased risk of future weight gain. Research examining the trajectories of children with depressive and externalizing disorders is needed to understand the mechanism of the relationship between these disorders in childhood and eating behaviours in adulthood.

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)0.000
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 score0.182
Threshold uncertainty score0.363

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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
Published2012
Admission routes1
Has abstractyes

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