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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 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)0.003
metaresearch head score (Gemma)0.007
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 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

Citations11
Published2020
Admission routes1
Has abstractyes

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