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Record W2549494964 · doi:10.1002/icd.2011

Cognitive biases among early adolescents with elevated symptoms of anxiety, depression, and co‐occurring symptoms of anxiety‐depression

2016· article· en· W2549494964 on OpenAlexafffund
Murray Weeks, Robert J. Coplan, Laura L. Ooi

Bibliographic record

VenueInfant and Child Development · 2016
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAnxietyPsychologyDepression (economics)CognitionClinical psychologyCognitive biasPsychiatry

Abstract

fetched live from OpenAlex

Abstract Anxiety and depression are often highly correlated in adolescence, and cognitive biases are commonly associated with both types of symptoms. The purpose of this study was to examine cognitive biases in early adolescents showing: (a) elevated symptoms of anxiety; (b) elevated symptoms of depression; (c) elevated co‐occurring symptoms of anxiety and depression; and (d) neither elevated symptoms of anxiety nor depression (comparison group). In particular, we were interested in the extent to which certain cognitive biases showed symptom specificity. Participants were N = 686 10‐ to 14‐year‐olds, who provided self‐reports of anxiety, depression, and measures of cognitive biases. Four groups were created based on quartile cutoffs: anxious , depressed , anxious‐depressed , and comparison . Among the results from multivariate analysis of variance, the anxious group thought negative events were more costly as compared to the depressed group. In contrast, the depressed group was higher in terms of negative causal attributions, overgeneralizing, selective abstraction, and negative views of the self, world, and future. The anxious‐depressed group showed an overall more negative pattern of cognitive biases than all other groups. Symptoms of anxiety and depression are distinguishable in terms of certain cognitive biases, and the co‐occurrence of symptoms is indicative of a particularly negative pattern of thinking. These findings have implications for intervention programs that could target specific cognitive biases. Highlights Are distinct patterns of cognitive biases evident among early adolescents with symptoms of anxiety, symptoms of depression, and co‐occurring symptoms of anxiety and depression? We collected self reports of cognitive biases. We also collected self reports of anxiety, depression, and cognitive biases, and created the following groups: 1) anxious; 2) depressed; 3) anxious‐depressed; 4) comparison. Symptoms of anxiety and depression are distinguishable in terms of certain cognitive biases, and symptom co‐occurrence may indicate a particularly maladaptive pattern of thinking.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.086
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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 teacher head, 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

Citations22
Published2016
Admission routes2
Has abstractyes

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