Evidence map›Paper›PMID 40898086›Full record

ArticleBMC public health2025

Psychometric validation of the school health assessment tool for primary schools in Southeast Nigeria.

Danilo Garcia, JohnBosco Chika Chukwuorji, Maryam Kazemitabar, Tochi E Iwuagwu, Chinyere Chibuko, Ricardo Sanmartin, Claudia Chiarolanza, İsmail Seçer, Kevin M Cloninger

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Danilo GarciaDepartment of Social Studies, University of Stavanger, Stavanger, Norway. danilo.garcia@icloud.com.
JohnBosco Chika ChukwuorjiDepartment of Social Studies, Promotion of Health and Innovation for Well-Being (PHI-WELL), University of Stavanger, Stavanger, Norway.
Maryam KazemitabarYale School of Medicine, Yale University, New Haven, Connecticut, USA.
Tochi E IwuagwuDepartment of Human Kinetics and Health Education, University of Nigeria, Nsukka, Enugu state, Nigeria.
Chinyere ChibukoGuidance & Counseling Unit at the Post-primary Schools Management Board, Enugu, Nigeria.
Ricardo SanmartinDepartment of Social Studies, Promotion of Health and Innovation for Well-Being (PHI-WELL), University of Stavanger, Stavanger, Norway.
Claudia ChiarolanzaDepartment of Social Studies, Promotion of Health and Innovation for Well-Being (PHI-WELL), University of Stavanger, Stavanger, Norway.
İsmail SeçerDepartment of Social Studies, Promotion of Health and Innovation for Well-Being (PHI-WELL), University of Stavanger, Stavanger, Norway.
Kevin M CloningerDepartment of Social Studies, Promotion of Health and Innovation for Well-Being (PHI-WELL), University of Stavanger, Stavanger, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchool health programs are critical for promoting the physical, psychological, and social well-being of students and staff, particularly in low- and middle-income countries. Effective evaluation of these programs requires comprehensive and context-sensitive tools. The School Health Assessment Tool for Primary Schools (SHAT-PS), originally developed and validated in Iran, offers a biopsychosocial framework for evaluating key dimensions of school health. Designed for use in low- and middle-resource settings and emphasizing both staff and student well-being, the SHAT-PS provides a promising foundation for addressing gaps in school health assessment. However, although this tool has demonstrated strong psychometric properties in its original context, its applicability in other cultural and educational settings remains underexplored.

aimThis study aimed to validate the SHAT-PS in Nigerian primary schools by examining its factor structure, internal consistency, and contextual relevance.

methodA total of 706 primary school teachers and school staff from the Nsukka education zone in southeast Nigeria completed the original 76 items of the SHAT-PS. Although the tool was originally developed in Persian, an English version, produced by the original developers through a standard forward and back translation process, was available and used in this study. As English is the official language of instruction in Nigeria, no additional translation was required. Instead, adaptation efforts focused on ensuring contextual and conceptual relevance of the items for the Nigerian educational setting, including expert review and evaluation by Nigerian educational psychologists and school administrators. We employed a cross-sectional design and conducted an Exploratory factor analysis (EFA) on half of the sample and a confirmatory factor analysis (CFA) on the remaining half. Internal consistency was assessed using Cronbach's alpha (α).

resultsEFA and CFA supported a six-factor structure (52 items): (1) School Health Policies, (2) Health Education and Psychological Services, (3) Health Services, Nutrition, and Staff Health, (4) School Hygiene, (5) School Area and Comfort, and (6) Physical Environment. The tool demonstrated good internal consistency (α = 0.66-0.89) and strong construct validity. Variations in responses highlighted its sensitivity to local discrepancies in infrastructure, services, and staff well-being.

conclusionThe SHAT-PS was successfully validated for use in Nigerian primary schools. Its robust psychometric performance and contextual alignment with national school health priorities make it a valuable tool for monitor school health and inform targeted interventions. Further validation in other regions and among broader stakeholder groups is recommended to enhance its generalizability and support nationwide implementation.

Indexed as

School Health ServicesSchoolsChildFemaleHumansMaleNigeriaPsychometricsReproducibility of ResultsSurveys and QuestionnairesEducational settingsNigeriaPsychometric validationPublic healthSchool health assessmentSchool policySHAT-PS

Identifiers

PMID40898086
PMCPMC12403245

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Registered trials

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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.