Evidence map›Paper›PMID 42601700›Full record

ArticleMedicine2026

Comprehensive evaluation of health status of Tibetan primary and middle school students based on an artificial neural network model: A cross-sectional study.

Chenyao Mai, Xiaofei Liu, Qiuyu Pan, Rulin Li, Pengcheng Zhang, Jun Hu

Abstract read
In one paragraph

Article in Medicine, 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chenyao MaiCollege of Medical, Xizang University of Medicine, Lasa, China.ORCID 0009-0006-0487-0355
Xiaofei LiuSchool of Music, Shandong Women's University, Jinan, Shandong, China.
Qiuyu PanCollege of Public Health, North Sicuan Medical College, Nanchong, China.
Rulin LiKey Laboratory of Digital-Intelligent Disease Surveillance and Health Governance, North Sichuan Medical College, Nanchong, China.
Pengcheng ZhangKey Laboratory of Digital-Intelligent Disease Surveillance and Health Governance, North Sichuan Medical College, Nanchong, China.
Jun HuCollege of Health Management, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

2025 Major Academic Special Project of Sichuan Provincial Key Laboratory of Philosophy and Social Sciences SC25ZDSY004Nanchong Social Science Research Planning Project NC25A036Project of Sichuan Provincial Grassroots Health Care Development Center SWFZ25-Z-06Xizang University High Calibre Programme 2021-GSP-025
6 · The paper itself

Abstract

The high-altitude and unique climatic conditions of Tibet can have a significant impact on the growth and development of local children and adolescents. We aimed to apply an artificial neural network model to evaluate the physical health status of primary and secondary school students aged 7 to 18 years in Shigatse, Tibet, China. A cross-sectional study was conducted among eligible primary and secondary school students from 7 randomly selected schools in Shigatse, Tibet, China, between April and October 2024. Health-related data, including height, weight, lung vital capacity, visual acuity, and dental caries, were recorded. By applying a comprehensive evaluation index system, an artificial neural network model was constructed to evaluate the health status of these students. A total of 4106 students (2047 boys and 2059 girls) were included. The body shape score (based on body mass index), body mass index of vital capacity, and health disorder score were 72.83 ± 12.29, 70.97 ± 8.45, and 69.26 ± 9.52, respectively. The corresponding measurements for boys and girls were 72.58 ± 12.22 and 73.07 ± 12.37, 69.02 ± 8.33 and 72.91 ± 8.11, and 69.22 ± 9.69 and 69.30 ± 9.36, respectively. The prevalence of myopia, dental caries, severe underweight, underweight, overweight, obesity, and growth retardation was 59.24%, 70.21%, 8.04%, 7.84%, 3.97%, 1.14%, and 7.67%, respectively. The mean and variance of health comprehensive scores were 70.42 ± 5.88, with 70.06 ± 5.75 and 70.77 ± 5.99 for boys and girls, respectively. The overall health status of Tibetan primary and secondary school students was moderate. Underweight, dental caries, and myopia were important health problems in these students. Public health departments, schools, and parents should work together to provide more comprehensive health education, supply necessary resources, and guide these students in adopting a healthy lifestyle to promote normal growth and development.

Indexed as

Health StatusNeural Networks, ComputerStudentsAdolescentBody Mass IndexChildCross-Sectional StudiesDental CariesFemaleHumansMaleTibetartificial neural networkhealth evaluationprimary and middle school studentsTibet

Identifiers

PMID42601700
PMCPMC13480874

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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.