Evidence map›Paper›PMID 36631469›Full record

ArticleScientific reports2023

Students stress patterns in a Kenyan socio-cultural and economic context: toward a public health intervention.

Victoria N Mutiso, David M Ndetei, Esther N Muia, Christine Musyimi, Monicah Masake, Tom L Osborn, Andre Sourander, John R Weisz, Daniel Mamah

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors at 5 institutions in 4 countries.

Victoria N MutisoAfrica Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya.
David M NdeteiAfrica Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya. dmndetei@amhf.or.ke.
Esther N MuiaDepartment of Public and Community Health, Machakos University, Machakos, Kenya.
Christine MusyimiAfrica Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya.
Monicah MasakeDepartment of Public and Community Health, Machakos University, Machakos, Kenya.
Tom L OsbornShamiri Institute, Allston, MA, USA.
Andre SouranderDepartment of Child Psychiatry, Turku University Hospital, Turku, Finland.
John R WeiszDepartment of Psychology, Harvard University, Cambridge, MA, USA.
Daniel MamahDepartments of Psychiatry, Washington University Medical School, St. Louis, MO, USA.
University of Nairobi · KEHarvard University · USMachakos University · KETurku University Hospital · FIWashington 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
NIMH NIH HHS R01 MH127571
6 · The paper itself

Abstract

This study aimed at determining the prevalence of stress, different types of stress, their severity and their determinants in Kenyan university, college and high school students. The following tools were administered to 9741 students: (1) Researcher-designed socio-demographic tool, (2) Psychiatric Diagnostic Screening Questionnaire (PDSQ) for psychiatric disorders, (3) WERC Stress Screen for stress, (4) Washington Early Recognition Center Affectivity and Psychosis (WERCAP) screen for psychosis and affectivity, (5) Wealth Index Questionnaire for economic indicators. Descriptive analysis for the prevalence of different types of stress and inferential analysis for stress and independent variables were done. Significant variables (p < 0.05) were fitted into generalized linear model to determine independent predictors. The mean age of the respondents was 21.4 years (range 16-43). Money issues were the commonest stressors while alcohol and drug use were the least. The independent predictors of stress were females, college students and use of gas stove. In conclusion, up to 30% of the students suffer from mild to severe stress. The students experience a wide range of stressors. The most important stressors include money and finances, family related problems and concerns about their future. Our findings suggest a public health approach to create stress awareness in students.

Indexed as

Psychotic DisordersPublic HealthAdolescentAdultFemaleHumansKenyaMaleStudentsSurveys and QuestionnairesYoung Adult

Identifiers

PMID36631469
PMCPMC9834399
OpenAlexW4315644203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.