Evidence map›Paper›PMID 40838264›Full record

ArticleJournal of nutritional science2025

Malnutrition among students with visual impairment studying in integrated public schools of Nepal.

Bijay Khatri, Rajan Shrestha, Manita Pyakurel, Madan Prasad Upadhyay

Abstract read
In one paragraph

Article in Journal of nutritional science, 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

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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

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

4 authors.

Bijay KhatriAcademic & Research Department, Hospital for Children, Eye, ENT, & Rehabilitation Services, Bhaktapur, Nepal.ORCID https://orcid.org/0000-0001-9727-9877
Rajan ShresthaDepartment of Public Health, Aarhus University, Aarhus C., Denmark.ORCID https://orcid.org/0000-0002-0703-4655
Manita PyakurelAcademic & Research Department, Hospital for Children, Eye, ENT, & Rehabilitation Services, Bhaktapur, Nepal.ORCID https://orcid.org/0000-0002-9014-1813
Madan Prasad UpadhyayB.P. Eye Foundation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0001-9154-0413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-cutting issues like nutrition have not been adequately addressed for children with severe visual impairment studying in integrated schools of Nepal. To support advocacy, this study aimed to determine the nutritional status of this vulnerable group, using a descriptive cross-sectional design involving 101 students aged 5-19 years from two integrated public schools near Kathmandu Valley and two in western Nepal. The weight-for-age z-score (WAZ), height-for-age z-score (HAZ), and body mass index-for-age z-score (BAZ) were computed and categorised using World Health Organization cut-off values (overnutrition: z-score > +2.0 standard deviations (SD), healthy weight: z-score -2.0SD to +2.0SD, moderate undernutrition: z-score ≥ -3.0SD to <-2.0SD, severe undernutrition: z-score < -3.0 SD) to assess nutritional status. A child was considered to have undernutrition for any z-scores <-2.0SD. Multivariate logistic regression was used to analyse variables linked to undernutrition. The mean age of participants was 11.86 ± 3.66 years, and the male-to-female ratio was nearly 2:1. Among the participants, 71.29% had blindness, and 28.71% had low vision. The mean BAZ and HAZ scores decreased with age. The WAZ, HAZ, and BAZ scores indicated that 6.46% were underweight, 20.79% were stunted, and 5.94% were thin, respectively. Overall, 23.76% of students had undernutrition and 7.92% had overnutrition. More than three in ten students had malnutrition and stunting was found to be prevalent. Older students and females were more likely to have undernutrition. These findings highlight the need for nutrition interventions within inclusive education settings, particularly targeting girls with visual impairments who may face compounded vulnerabilities.

Indexed as

MalnutritionVision DisordersAdolescentBody Mass IndexBody WeightChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleNepalNutritional StatusPrevalenceSchoolsStudentsAOR, Adjusted odds ratioBAZ, BMI-for-age z-scoreBlindnessBMI, Body mass indexCI, Confidence intervalcm, CentimetreCOR, Crude odds ratioHAZ, Height-for-age z-scorekg, KilogramMalnutritionNepalPrevalenceREF, Reference categorySchoolSD, Standard deviationWAZ, Weight-for-age z-scoreWHO, World Health Organization

Identifiers

PMID40838264
PMCPMC12361674

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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.