MétaCan
Menu
Back to cohort
Record W3189196654 · doi:10.33824/pjpr.2021.36.2.16

Battling with Depressive Feelings and Suicidal Ideation: Role of Friendships and Effective Coping in Young Individuals From Hunza Valley, Pakistan

2021· article· en· W3189196654 on OpenAlexaboutno aff
Naveeda, Raiha Aftab, Halis Sakis

Bibliographic record

VenuePakistan Journal of Psychological Research · 2021
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFriendshipPsychologyAffectionSuicidal ideationClinical psychologyCoping (psychology)DistressFeelingSuicide preventionPoison controlSocial psychologyMedicine

Abstract

fetched live from OpenAlex

The present study aimed at examining the association between psychological distress, coping strategies, friendship (satisfaction and affection), and suicidal ideation among young individuals of Hunza Valley, Pakistan. The sample of the present study consisted of 117 boys and 278 girls (N = 395). The purposive sampling technique was used to select study participants from different schools and colleges of Hunza valley, Pakistan. The measures of the study included Depression, Anxiety, and Stress Scale (Lovibond & Lovibond, 1995), Brief Cope (Carver, 1997), McGill Friendship Questionnaire-Respondent's Affection (Mendelson & Aboud, 2012), and Suicide Ideation Scale (Rudd, 1989). Analysis was carried out using, t-test analysis, regression analysis, and correlation techniques. The findings of the study indicated significant positive relationships between psychological distress (indicated by the presence of depressive symptoms and suicidal ideation), avoidant coping, humor, and suicide ideation. The findings further indicated that female adolescents scored higher on psychological distress and friendship satisfaction whereas males scored higher on friendship affection. Multiple regression analysis showed predictive nature of age, avoidance coping, friendship satisfaction, and suicidal ideation in depressive symptoms among adolescents.

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)0.003
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 score0.023
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.073
GPT teacher head0.445
Teacher spread0.372 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venuePakistan Journal of Psychological ResearchSame topicSuicide and Self-Harm StudiesFrench-language works237,207