Evidence map›Paper›PMID 35032509›Full record

ArticleJournal of affective disorders2022

Socio-demographic, economic and mental health problems were risk factors for suicidal ideation among Kenyan students aged 15 plus.

David M Ndetei, Victoria N Mutiso, John R Weisz, Consolate A Okoth, Christine Musyimi, Esther N Muia, Tom L Osborn, Andre Sourander, Danuta Wasserman, Daniel Mamah

Open access · hybridAbstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 23 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

10 authors at 7 institutions in 4 countries.

David M NdeteiDepartment of Psychiatry, University of Nairobi, Kenya and Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon road, Mawensi Garden P.O. Box 48423-00100, Nairobi, Kenya; Africa Mental Health Research and Training Foundation, Nairobi, Kenya. Electronic address: dmndetei@amhf.or.ke.
Victoria N MutisoAfrica Mental Health Research and Training Foundation, Nairobi, Kenya.
John R WeiszDepartment of Psychology, Harvard University, Cambridge, MA, USA.
Consolate A OkothDepartment of Public and Community Health, Machakos University, Kenya.
Christine MusyimiAfrica Mental Health Research and Training Foundation, Nairobi, Kenya.
Esther N MuiaDepartment of Public and Community Health, Machakos University, Kenya.
Tom L OsbornDepartment of Psychology, Harvard University, Cambridge, MA, USA; Shamiri Institute - Allston, MA, U.S.A. and Nairobi, Kenya.
Andre SouranderDepartment of Child Psychiatry, Turku University Hospital, Finland.
Danuta WassermanNational Centre for Suicide Research and Prevention of Mental Ill-Health (NASP), Karolinska Institutet, Sweden.
Daniel MamahDepartment of Psychiatry, Washington University Medical School, St. Louis, MO, USA.
Africa Mental Health Foundation · KEHarvard University · USMachakos University · KEKarolinska Institutet · SETurku University Hospital · FIUniversity of Nairobi · KEWashington University in St. Louis · US

Funding

Clinical and Biomarker-Based Trajectories of Psychosis-Risk Populations in KenyaR01MH127571 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2021 to 2025
$3.3M
Genes, Behavior and Psychosis Risk in KenyaR56MH111300 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2016 to 2016
$640k
Identifying Imaging Biomarkers of Schizophrenia-Risk in KenyaR21MH124060 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2020 to 2020
$334k
IDENTIFICATION OF PSYCHOSIS-RISK TRAITS IN AFRICAR21MH095645 · NIMH · WASHINGTON UNIVERSITY · PI MAMAH, DANIEL · 2013 to 2014
$270k
NIMH NIH HHS R01 MH127571NIMH NIH HHS R21 MH095645NIMH NIH HHS R21 MH124060NIMH NIH HHS R56 MH111300
6 · The paper itself

Abstract

backgroundAbout a third of youth with suicidal ideation develop suicidal plans and about 60% of youth with suicidal plans make suicidal attempts. This study aimed to study different types of suicidal ideation and the risk factors in Kenyan youth.

methodsWe studied a total of 9742 high school, college and university students using following self-administered instruments: - a researcher design socio-demographic questionnaire, Psychiatric Diagnostic Screening Questionnaire (PDSQ) to document psychiatric disorders and various types of suicidal ideas in previous two weeks, Washington Early Recognition Center Affectivity and Psychosis tool to assess stress, affectivity and psychosis, Wealth index questionnaire to document economic indicators based on household items for the families of the students. We used descriptive statistics, univariate analysis, bivariate logistic regression analysis and variables with a p-value of less than <.05 were entered into generalized linear models using logit links to identify independent predictors.

resultsThe overall prevalence of different types of suicidal ideation was (22.6%), major depression was found in 20.0%, affectivity, psychosis and stress was found in 10.4%, 8.7% and 26.0% respectively. Female gender, major depression, stress, affectivity and psychosis and being in high school were significant (p < 0.05) predictors of suicidal ideation. LIMITATIONS: This was a cross sectional study that focused only on suicidal ideas and associated economic factors and mental health disorders. It did not study suicidal behavior.

conclusionFuture studies are needed to study the progression from suicidal ideas to suicidal attempts and the factors associated with that progression.

Indexed as

Mental HealthSuicidal IdeationAdolescentCross-Sectional StudiesFemaleHumansKenyaPrevalenceRisk FactorsStudentsSuicide, AttemptedDifferent types of suicidal ideasKenyaRisk factorsStudents

Identifiers

PMID35032509
PMCPMC10448955
OpenAlexW4220675041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.