Evidence map›Paper›PMID 40492004›Full record

ArticleFrontiers in public health2025

Evaluating the student nutrition improvement program: regional disparities and nutritional trends in Yunnan, China (2019-2023).

Fang Xu, Xin Huang, Long Yu, Yadi Yang, Litao Chang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

5 authors.

Fang Xu *School of Public Health, Kunming Medical University, Kunming, China.
Xin Huang *Yunnan Center for Disease Control and Prevention, Kunming, China.
Long Yu *Wuhua District Center for Disease Control and Prevention, Kunming, China.
Yadi YangSchool of Public Health, Kunming Medical University, Kunming, China.
Litao ChangYunnan Center for Disease Control and Prevention, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In order to improve the nutrition and health status of rural school-age children and to reduce malnutrition. This study evaluated the effects of the National Nutrition Improvement Program for Rural Compulsory Education Students (NNIP-RCES) in three counties (Midu, Xuanwei, and Xundian) in Yunnan Province, China, in 2019, 2021, and 2023, and the findings highlight regional differences and future nutrition trends. Methods: Anthropometric indicators (height and weight) and biochemical markers (hemoglobin, Vitamin A, and Vitamin D) were measured and analyzed using linear mixed-effects models to identify temporal changes, regional differences, and the overall effectiveness of the program. Results: The program led to significant improvements in height ( Conclusion: While the NNIP-RCES effectively enhanced physical growth and alleviated Vitamin A deficiency, persistent anemia, unchanged Vitamin D levels, and marked regional disparities underscore critical areas requiring further attention. Future policy refinements should focus on targeted interventions addressing anemia prevention, Vitamin D supplementation, enhanced dietary diversity, and equitable resource allocation across regions. Strengthened monitoring frameworks and comprehensive nutrition education initiatives are also recommended to ensure sustainable improvements and serve as a model for global school-based nutritional interventions.

Indexed as

Nutritional StatusStudentsChildChinaFemaleHumansMaleProgram EvaluationRural PopulationVitamin AVitamin DVitamin AVitamin Danthropometric indicatorsmicronutrient supplementationnutritional disparitiesnutrition improvement programrural school-aged children

Identifiers

PMID40492004
PMCPMC12146158

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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.