Evidence map›Paper›PMID 40241128›Full record

ArticleBMC public health2025

Analysis of sub-health status and related factors in medical students in the Chinese Mainland from the perspective of health ecology.

Yifan Jiang, Xuan Wang, Min Zhang, Zhiyong Xu, Yibo Wu, Liang Chen

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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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

6 authors.

Yifan Jiang *School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, 250012, China.
Xuan WangSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, 250012, China.
Min ZhangSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, 250012, China.
Zhiyong XuSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua West Road, Jinan, Shandong Province, 250012, China.
Yibo WuSchool of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China. bjmuwuyibo@outlook.com.
Liang ChenDepartment of Emergency, Qilu Hospital of Shandong University, 107 Wenhua West Road, Jinan, Shandong Province, 250012, China. chenliang@qiluhospital.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSub-health status (SHS) refers to the physical condition in which a person falls between being healthy and having a disease. The sub-health status of medical students is related to many factors. The aim of this study is to explore the current situation and related factors of sub-health of medical students from the perspective of health ecology, to provide a basis for the formulation of intervention measures and improve the health level of medical students.

methodsThe data for this study came from a nationwide cross-sectional survey conducted in June-August 2022, covering 32 provinces and autonomous regions in mainland China. Multi-stage random sampling was used to recruit. 30,505 valid questionnaires were finally collected. According to the purpose of this study, the subjects were medical students. A total of 1878 subjects were included in the study. Binary stepwise logistic regression and back propagation neural network (BPNN) were used to explore the influencing factors of sub-health.

resultsThe prevalence of sub-health among medical students in mainland China is 57.5%. Results revealed that negative life events (odds ratio [OR] = 1.64; 95%CI = 1.31-2.04), anxiety (OR = 1.97; 95%CI = 1.27-3.10), depression (OR = 1.80; 95%CI = 1.30-2.51), second-hand smoke exposure (OR = 1.32; 95%CI = 1.06-1.64), problematic Internet use (OR = 1.15; 95%CI = 1.12-1.17), and perceived stress (OR = 1.16; 95%CI = 1.10-1.22) were identified as risk factors for sub-health among medical students, and the level of health literacy was found to be a protective factor for sub-health (OR = 0.96 (95%CI = 0.94-0.98). Sub-health risk increased with increasing smartphone use 1-2 h (OR = 1.34; 95%CI = 1.03-1.73) and ≥ 2 h (OR = 1.44; 95%CI = 1.05-1.98). Four important variables were determined according to the BPNN results: perceived stress, problematic Internet use, depression, and health literacy.

conclusionsMedical students in mainland China have a high rate of SHS, indicating it's a pressing public health issue for them. Factors like mental health, internet use problems, and health literacy are linked to SHS occurrence in this group. This study provides a scientific basis for early identification of high-risk groups, and provides a reference for developing personalized intervention measures based on the perspective of health ecology.

Indexed as

Health StatusStudents, MedicalAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleRisk FactorsSurveys and QuestionnairesYoung AdultBP neural networkHealth ecologyMedical studentRisk factorsSub-health status

Identifiers

PMID40241128
PMCPMC12001743

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.