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Record W4392131406 · doi:10.1016/j.erap.2024.100981

Effects of main components of a targeted prevention program for depressive and anxious symptoms during the transition to higher education

2024· article· en· W4392131406 on OpenAlexaff
Diane Marcotte, Claire J. Starrs, Josianne Chicoine, Simon Lapierre

Bibliographic record

VenueEuropean Review of Applied Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsTransition (genetics)PsychologyAnxietyClinical psychologyDepression (economics)Depressive symptomsPsychotherapistPsychiatryBiologyGeneticsEconomics

Abstract

fetched live from OpenAlex

The current study assessed the effectiveness of the main components of the targeted prevention (TP) intervention of a multilevel prevention program for depression and anxiety in college students. The TP intervention includes ten ninety-minute workshops for groups of five to ten students who reported significant anxious or depressive symptoms during an initial universal prevention (UP) intervention. Participants were 307 students, aged 16 to 30. Measures of intrapersonal risk and resiliency factors, including cognitive distortions, mindfulness principles and practice, managing anxiety, mental illness literacy, and the development of personal goals and values were collected. Latent growth models provided strong support for the effectiveness of the intervention, with a greater reduction in depressive symptoms in the experimental group than the comparison group. Although the model was not significant for anxious symptoms, a significant finding in the experimental individual model indicated a sizeable reduction in anxious symptoms from Time 1 to Time 3. Examination of the program determinants revealed significant changes in those that participated in the program compared to the comparison group that did not. The beneficial effects of the implementation of multilevel prevention programs in college students and the study limitations are discussed. Dans cette étude, l’efficacité des principales composantes du volet ciblé (TP) d’un programme de prévention à plusieurs niveaux de la dépression et de l’anxiété chez les étudiants collégiaux est évaluée. Le TP comprend dix ateliers de quatre-vingt-dix minutes pour des groupes de cinq à dix étudiants qui ont rapporté des symptômes anxieux ou dépressifs importants lors du volet initial (universel, UP) du programme. Les participants sont 307 étudiants, âgés de 16 à 30 ans. Des mesures des facteurs de risque et de résilience intrapersonnels, y compris les distorsions cognitives, les principes et la pratique de la pleine conscience, la gestion de l’anxiété, la littératie sur la santé mentale, ainsi que l’élaboration d’objectifs et de valeurs personnels, ont été recueillies. Les modèles de croissance latente ont fortement soutenu l’efficacité de l’intervention, avec une plus grande réduction des symptômes dépressifs dans le groupe expérimental que dans le groupe témoin. Bien que le modèle n’ait pas été significatif pour les symptômes anxieux, un résultat significatif pour le modèle individuel expérimental indique une réduction des symptômes anxieux du temps 1 au temps 3. L’examen des déterminants du programme révèle des changements importants chez les étudiants qui ont participé au programme comparativement au groupe de comparaison qui n’a pas participé au programme. Les effets bénéfiques de la mise en œuvre des programmes multiniveaux de prévention chez les étudiants de collège et les limites de l’étude sont discutés.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.313
Teacher spread0.303 · 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 designNon-randomized trial
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

Citations3
Published2024
Admission routes1
Has abstractyes

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