Evidence map›Paper›PMID 41935159›Full record

ArticleScientific reports2026

Evaluation of an intervention mapping framework guided micronutrient literacy program for school children in Mumbai: A quasi-experimental study.

Panchali Moitra, Aashna Mehta, Farzeen Bhatkar

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Panchali MoitraDepartment of Postgraduate Programs and Research, Sir Vithaldas Thackersey College of Home Science (Empowered Autonomous Status), SNDT Women's University, Santacruz West, Mumbai, Maharashtra, 400049, India. panchali2511@yahoo.co.in.ORCID https://orcid.org/0000-0002-3630-2794
Aashna MehtaDepartment of Postgraduate Programs and Research, Sir Vithaldas Thackersey College of Home Science (Empowered Autonomous Status), SNDT Women's University, Santacruz West, Mumbai, Maharashtra, 400049, India.
Farzeen BhatkarDepartment of Postgraduate Programs and Research, Sir Vithaldas Thackersey College of Home Science (Empowered Autonomous Status), SNDT Women's University, Santacruz West, Mumbai, Maharashtra, 400049, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This quasi experimental, pre post study evaluated the effectiveness of a school-based nutrition education intervention, developed using the Intervention Mapping (IM) framework, in improving micronutrient literacy and dietary practices among children aged 10-15 years in selected government schools in Mumbai, India. The IM steps of needs assessment, behavioral outcome mapping, theory-based intervention, educational module development, and evaluation guided the design and implementation of the 10-week program. Storytelling, peer led learning, practical demonstrations, and environmental restructuring strategies were integrated. A total of 509 children (57.2% boys; mean age ≈ 13.2 years) completed all assessments. The intervention resulted in improvements across all measured knowledge items. The perceived benefits of having fruits and vegetables and iron rich foods and willingness to learn about healthy eating and trying to eat a variety of foods improved. A significant increase in the frequency of intakes of fruits and vegetables and decrease in the consumption of fried foods, sweetened beverages, and fast foods was noted post-intervention. The IM framework strengthened program effectiveness, contributing to meaningful improvements across knowledge, attitude and practice domains. A targeted focus on micronutrient literacy in school nutrition education is essential to support existing policies and reduce micronutrient malnutrition in children.

Indexed as

Health EducationHealth LiteracyMicronutrientsAdolescentChildFemaleHealth Knowledge, Attitudes, PracticeHumansIndiaMaleProgram EvaluationSchoolsMicronutrientsAttitude and practicesChildren and adolescentsIndiaIntervention mappingKnowledgeMicronutrient literacy interventionMicronutrient rich foodsNutrition education programSchool nutrition intervention

Identifiers

PMID41935159
PMCPMC13212905

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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.