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Record W4389779345 · doi:10.1111/jcpp.13935

Stress exposure in <scp>at‐risk</scp> , depressed, and suicidal adolescents

2023· article· en· W4389779345 on OpenAlexaff
Jeremy G. Stewart, Diego A. Pizzagalli, Randy P. Auerbach

Bibliographic record

VenueJournal of Child Psychology and Psychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsQueen's University
FundersNational Institute of Mental HealthNational Institutes of HealthNational Alliance for Research on Schizophrenia and DepressionKlingenstein Third Generation FoundationBrain and Behavior Research FoundationTommy Fuss FundAmerican Foundation for Suicide PreventionDana Foundation
KeywordsSuicidal ideationMajor depressive disorderPsychologyStressorDepression (economics)Suicide attemptClinical psychologyPsychiatryInternal medicinePoison controlMedicineInjury preventionMood

Abstract

fetched live from OpenAlex

Background Stress exposure contributes to the onset, maintenance, and recurrence of major depressive disorder (MDD) in adolescents. However, the precise stress facets (e.g. chronicity, domain) most strongly linked to outcomes at different stages along the depression severity continuum remain unclear. Across two studies, chronic and episodic stressors were comprehensively assessed among: (a) healthy youth with (High‐Risk [HR]) and without (Low‐Risk [LR]) a maternal history of MDD and (b) adolescents with current MDD and suicide ideation and healthy controls (HC). Method Study 1 included LR ( n = 65) and HR ( n = 22) 12‐ to 14‐year‐olds (49 females; 56.32%) with no lifetime history of mental disorders. Study 2 enrolled 87 mid‐to‐late adolescents (64 females; 73.56%), including 57 MDD youth from a short‐term intensive treatment service and 30 HCs from the community. All depressed youth reported recent suicide ideation; some had no lifetime history suicide attempts (SI; n = 31) and others reported at least one past year attempt (SA; n = 26). The Life Events and Difficulties Schedule was used to capture stressor severity in both studies. Results We used multiple linear regression models that adjusted for demographic and clinical covariates. Being in the HR versus LR group was associated with more severe chronic (β = .22, CI 95 = 0.01–0.42, p = .041), independent (β = .34, CI 95 = 0.12–0.56, p = .003), and interpersonal (β = .23, CI 95 = 0.004–0.45, p = .047) stress severity. By contrast, the MDD group reported significantly more severe chronic (β = .62, CI 95 = 0.45–0.79, p < .001) and dependent (β = .41, CI 95 = 0.21–0.61, p < .001) stress than the HC group, but not independent ( p = .083) stress. Stress severity did not differ between recent attempters versus youth who reported suicide ideation alone (SA vs. SI contrast). However, the SA group reported a higher rate of targeted rejection events (RR = 3.53, CI 95 = 1.17–10.70, p = .026). Conclusions Our findings clarify the stressor features that may most strongly contribute to adolescent depression and its clinical correlates at two important points along depression's clinical course.

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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0000.000
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 head0.011
GPT teacher head0.277
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

Citations15
Published2023
Admission routes1
Has abstractyes

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