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Record W2776150466 · doi:10.52214/gsjp.v14i.10878

The Tripartite Model of Anxiety and Depression: Function and Utility in a Youth Community Sample

2012· article· en· W2776150466 on OpenAlexaff
Ruifan Zeng, Shauna C. Kushner, Jennifer L. Tackett

Bibliographic record

VenueGraduate Student Journal of Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSample (material)PsychologyDepression (economics)AnxietyFunction (biology)Clinical psychologySocial psychologyEconometricsPsychiatryEconomics

Abstract

fetched live from OpenAlex

The current study examined the application of Clark & Watson's (1991) tripartite model of the internalizing disorders (i.e., anxiety and depression) in non-clinical youth as research is lacking on its functionality in youth compared to adult populations.We attempted to replicate the tripartite constructs (Negative Affect, Positive Affect, and Somatic Problems as an approximation of Physiological Hyperarousal) in a community sample of youth aged between 6 and 17 years.Consistent with the tripartite model, the results showed that NA was highly correlated with anxiety and depression symptoms, while low positive affect was related to depression but not anxiety.Somatic problems were found to be correlated with both anxiety and depression, which corroborates recent trends in the adult literature indicating that physiological hyperarousal does not uniquely distinguish depression from anxiety.Implications and limitations of the current study are discussed.Depressive and anxious disorders affect both adult and youth populations.Twelve-month prevalence of major depressive disorder (MDD) in adults is approximately 6.7%, and lifetime prevalence of MDD in children and adolescents is as high as 11.2 -13.0%(National Institute of Mental Health [NIMH], 2011).For anxiety disorders, 12-month prevalence in adults is 18.2%, and lifetime prevalence in youth is 15% (NIMH, 2011).Many people suffer from both disorders and the intercorrelations between self-report measures of anxiety and depression are particularly high in youth populations (Stark & Laurent, 2001). This points to a considerable degree of symptom overlap between anxiety and depressive disorders, and there are indeed notable similarities in the way the two are manifested.According to the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev; DSM-IV-TR; American Psychiatric Association, 2000) anxiety and depression are both characterized by high subjective distress, poor concentration, and somatic symptoms.Instead of separating anxiety and depression into conceptually distinct disorders, Clark and Watson (1991) proposed a tripartite model to account for both the unique and shared variances of anxiety and depressive symptoms.The tripartite model has found support in adult populations.However, research on its utility in youth samples is scarce (Anderson & Hope, 2008).The current investigation extended this line of research by 

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)0.002
metaresearch head score (Gemma)0.004
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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.310
GPT teacher head0.484
Teacher spread0.174 · 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".

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Citations0
Published2012
Admission routes1
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