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Record W3045502572 · doi:10.1080/13548506.2020.1800053

The role of hopelessness and gratitude in the association between brooding and Chinese college students’ suicidal ideation: a moderated mediation model

2020· article· en· W3045502572 on OpenAlexaff
Yu Liu, Yang Yang, Xuji Jia, Chenxu Wang, Juanchan Mo, Zhehao Jiang, Lin Lin

Bibliographic record

VenuePsychology Health & Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsGratitudeSuicidal ideationMediationPsychologyModerated mediationAssociation (psychology)Clinical psychologyIdeationPsychotherapistSocial psychologyMedicineSuicide preventionPoison control

Abstract

fetched live from OpenAlex

Based on the cognitive model of suicide and broaden-and-build theory of gratitude, this study constructed a moderated mediation model to examine whether hopelessness mediated the relationship between brooding and Chinese college students' suicidal ideation and whether this mediating process was moderated by gratitude, from the positive psychology perspective. A total of 1191 college students were investigated using four scales. The results were as follows: (1) Brooding significantly contributed to suicidal ideation; (2) Hopelessness played a mediating role in the relationship between brooding and suicidal ideation; and (3) Gratitude moderated the mediated path through hopelessness, such that this mediating effect was only significant in individuals with low gratitude. This study may shed light on how brooding influences Chinese college students' suicidal ideation theoretically and on their prevention practically.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.065
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.043
GPT teacher head0.417
Teacher spread0.373 · 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

Citations11
Published2020
Admission routes1
Has abstractyes

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