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Meta Analysis: The Effect of Bullying on Adolescents on Mental Health and Depression

2022· article· en· W4400369926 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Epidemiology and Public Health · 2022
Typearticle
Languageen
FieldPsychology
TopicStudent Stress and Coping
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Mental healthPsychologyClinical psychologyPsychiatryDevelopmental psychology

Abstract

fetched live from OpenAlex

Background: Bullying is an act of aggression that is intentional and repeated physically, psychologically, verbally, and cyber which can cause various health problems. Bullying is one of the causes of poor mental health conditions in adolescents whose impact can continue into adulthood. This study was aimed to assess the magnitude of the effect of bullying on mental health and depression based on the scores obtained from several previous similar studies. Subjects and Method: The design of this research study was a systematic review and meta-analysis. The primary articles used were obtained from online databases (PubMed, Google Scholar, ResearchGate, and Springer Link) published in 2012-2022. Population: teenagers. Intervention: bullying. Comparison: not experiencing bullying. Outcomes: mental health and depression. The keywords used in the primary article search were “Bullying” AND “Mental Health Problem” OR “Psychological Disorder” OR “Psychological Distress” AND “Depression” OR “Depressive Disorder” AND “Adolescent” OR “Teenager”. This study uses full-text articles with a cross-sectional design and contains an aOR (adjusted Odds Ratio) value. The selection of articles was carried out using PRISMA flow diagrams. Articles were analyzed using the Review Manager 5.3 application. Results: There are 7 articles from Saudi Arabia, Taiwan, Italy, Morocco, Sweden, Australia, and Ethiopia on bullying and adolescent mental health, as well as 8 articles from Saudi Arabia, US, Italy, China, Brazil, Canada, Australia, and Malaysia on bullying and depression in adolescents. The results of the meta-analysis showed that bullying was statistically significant in increasing the occurrence of mental health disorders (aOR= 2.48; 95%CI= 1.64 to 3.74; p< 0.001) and depression (aOR= 2.74; 95%CI= 2.29 to 3.28; p< 0.0001) in teenagers. Conclusion: The experience of bullying can increase the risk of mental health disorders and depression in adolescents. Keywords: Bullying, mental health, depression, youth. Correspondence: Riya Ulin Nuha. Faculty of Health Science, Universitas ‘Aisyiyah Yogyakarta. Jl. Ring Road Barat 63 Mlangi Nogotirto Gamping, Sleman 55292, Yogyakarta, Indonesia. Email: ulin514@gmail.com. Mobile: 081238710748.

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.

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)0.012
metaresearch head score (Gemma)0.000
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 score0.097
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.156
GPT teacher head0.450
Teacher spread0.294 · 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