Evidence map›Paper›PMID 40258020›Full record

ArticlePloS one2025

Association of food environment with diet quality and Body Mass Index (BMI) of school-going adolescents in Nepal.

Pragya Sharma, Neha Limaye, Rajeeb Kumar Sah, Archana Shrestha

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Pragya SharmaDepartment of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.ORCID 0009-0009-6285-7898
Neha LimayeDepartment of Medicine, Mount Sinai Hospital, New York, United States of America.
Rajeeb Kumar SahSchool of Human and Health Sciences, University of Huddersfield, Huddersfield, United Kingdom.
Archana ShresthaDepartment of Public Health, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescents are being more vulnerable to non-communicable diseases (NCDs). A healthy food environment is crucial in maintaining a healthy diet and achieving better health outcomes. This study aimed to determine how certain features of home food environment affect diet quality and Body Mass Index (BMI) of school-going adolescents.

methodsWe conducted a cross-sectional analytical study among 678 school-going adolescents aged 15-19 years in Budanilkantha municipality of Kathmandu, Nepal. We assessed home availability of food items in the past day, walking time needed to reach nearest shops from home, parental modeling, and parenting style. Furthermore, we assessed diet quality using a Diet Quality Questionnaire as Global Dietary Recommendations (GDR) Score and measured height and weight of participants to calculate BMI. We used multiple regression models to analyze data, all statistical analyses were performed using STATA-14.

resultsOf 678 participants, 51.92% were males, and mean age was 15.56 years. Those who had to walk > 20 minutes to reach nearest vegetable shop had an average 1.44 point lower GDR Score (95% CI: -2.08, -0.19) than those with vegetable shops at their home. Those who had processed meat at home in the past day had 1.61 points lower GDR Score (95% CI: -1.95, -1.28), those with fruits and vegetables had 0.74 points lower GDR Score (95% CI: 0.48, 1.00) as compared to those who didn't have. Participants who had starchy staple available had a BMI score lower by 5.59 kg/m2 on average (95% CI: - 10.78, - 0.40), and when two participants whose parental modeling scores differed by a unit were compared, the one with a higher score had on an average 0.19 kg/m2 greater BMI (95% CI: 0.01, 0.37).

conclusionThis study highlights impact of home food environment on diet quality and BMI among adolescents in urban Nepal. Availability of healthy foods positively affects diet quality, while unhealthy items negatively influences it. Future research should explore wider food environmental factors and intervention strategies to improve adolescents' diet quality.

Indexed as

Body Mass IndexDietAdolescentCross-Sectional StudiesFeeding BehaviorFemaleHumansMaleNepalSchoolsYoung Adult

Identifiers

PMID40258020
PMCPMC12011221

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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.