Evidence map›Paper›PMID 38609874›Full record

ArticleBMC psychiatry2024

Face-to-face bullying in and outside of schools and cyberbullying are associated with suicidality in Kenyan high school students: a public health issue.

David M Ndetei, Victoria Mutiso, Jenelle R Shanley, Christine Musyimi, Pascalyne Nyamai, Timothy Munyua, Tom L Osborn, Natalie E Johnson, Sonja Gilbert, Anne Abio and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 4 countries.

David M NdeteiAfrica Mental Health Research and Training Foundation, Nairobi, Kenya. dmndetei@amhf.or.ke.
Victoria MutisoAfrica Mental Health Research and Training Foundation, Nairobi, Kenya.
Jenelle R ShanleyPacific University, Hillsboro, USA.
Christine MusyimiAfrica Mental Health Research and Training Foundation, Nairobi, Kenya.
Pascalyne NyamaiAfrica Mental Health Research and Training Foundation, Nairobi, Kenya.
Timothy MunyuaAfrica Mental Health Research and Training Foundation, Nairobi, Kenya.
Tom L OsbornShamiri Institute, Nairobi, Kenya.
Natalie E JohnsonShamiri Institute, Nairobi, Kenya.
Sonja GilbertResearch Centre for Child Psychiatry, Department of Clinical Medicine, Faculty of Medicine, University of Turku, Turku, Finland.
Anne AbioResearch Centre for Child Psychiatry, Department of Clinical Medicine, Faculty of Medicine, University of Turku, Turku, Finland.
Afzal JavedWorld Psychiatric Association, Geneva, Switzerland.
Andre SouranderResearch Centre for Child Psychiatry, Department of Clinical Medicine, Faculty of Medicine, University of Turku, Turku, Finland.
Africa Mental Health Foundation · KEUniversity of Turku · FIKenya Industrial Research and Development Institute · KEPacific University Oregon · USTurku University Hospital · FIUniversity of Basel · CHUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood bullying has been classified as a major public health concern by WHO, with negative effects on the health education and social outcomes of both bullies and victims. There is no current Kenyan data on the prevalence of face-to-face bullying and cyberbullying co-occurring in the same cohort of youth and how they are associated with different aspects of suicidality and socio-demographic characteristics. This study aims to fill these gaps in the Kenyan situation so as to inform current policy and practice. METHODOLOGY: This cross-sectional study involved 2,652 students from ten secondary schools in Kenya, selected from three regions representing different levels of public funded schools and socioeconomic spaces. The outcome variable was derived from the questionnaire which asked students questions related to self-harm, suicide thoughts, plans, and attempts. Predictor variables were based on response on experience of bullying in school, out of school, at home, and cyberbullying. Other variables such as gender, age, family background, and class were also collected from the self-reported questions. Data were analyzed using SPSS version 25, with descriptive summary statistics and chi-square tests used to examine variables, and logistic regression analysis used to determine the associations between suicidality and experience of bullying.

resultsThe mean age was 16.13 years. More than half of the participants were male, with the largest proportion living in rural areas. Face-to-face bullying was more prevalent than cyberbullying, with 82% of participants experiencing bullying and 68% experiencing it almost daily in the past six months. Both face-to-face bullying and cyberbullying were associated with suicidal thoughts, plans, and attempts. Predictors of suicidal attempts included being bullied outside of school and being a victim of group bullying, while being bullied every day and being bullied by adult men were predictors of suicidal attempts in cyberbullying.

conclusionThere is a high prevalence of face-to-face bullying both in and outside schools. There is also a high prevalence of cyberbullying. Both face-to-face and cyberbullying are associated with suicidality in Kenyan high school students.

Indexed as

BullyingCyberbullyingSuicideAdolescentAdultChildCross-Sectional StudiesFemaleHumansKenyaMaleSchoolsSelf ReportStudentsSuicidal IdeationBullyingCyberbullyingKenyanStudentsSuicidality

Identifiers

PMID38609874
PMCPMC11015663
OpenAlexW4394766183

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.