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Record W2291205223 · doi:10.1177/1359105316631196

Body dissatisfaction and psychological distress in adolescents: Is self-esteem a mediator?

2016· article· en· W2291205223 on OpenAlexafffund
Annie-Pier Duchesne, Jacinthe Dion, Daniel Lalande, Catherine Bégin, Claudie Émond, Gilles Lalande, Pierre McDuff

Bibliographic record

VenueJournal of Health Psychology · 2016
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité de MontréalUniversité LavalUniversité du Québec à Chicoutimi
FundersUniversité du Québec à Chicoutimi
KeywordsSelf-esteemPsychologyAnxietyClinical psychologyDistressPsychological distressRating scaleDepression (economics)Scale (ratio)Center for Epidemiologic Studies Depression ScaleDepressive symptomsPsychiatryDevelopmental psychology

Abstract

fetched live from OpenAlex

This brief report tests the mediating effect of self-esteem in the relationship between body dissatisfaction and symptoms of depression and anxiety. A sample of 409 adolescents (females = 58.4%) aged between 14 and 18 years completed the Rosenberg Self-Esteem Scale, the Contour Drawing Rating Scale, the Multidimensional Anxiety Scale for Children, and the Center for Epidemiologic Studies Depression Scale. Overall, results for the indirect effects analysis were significant for both anxiety and depression, which confirmed the mediating role of self-esteem. Thus, a negative perception of one's body image has the effect of lowering self-esteem, which in turn increases psychological distress.

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)0.005
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.042
GPT teacher head0.424
Teacher spread0.382 · 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

Citations168
Published2016
Admission routes2
Has abstractyes

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