Key result
Anxiety is linked to ~97% higher risk of sub-health status among medical students.
Why the study?
The study aimed to explore the current situation and related factors of sub-health among medical students from a health ecology perspective to support intervention measures.
Cross-Sectional (n=1,878)
Yes
Effect estimate: OR 1.97 (95% CI 1.27-3.10)
Absolute Event Rate: 88% vs 51.1%
p-value: p=0.002
A high prevalence of sub-health status (57.5%) was observed among medical students in mainland China, strongly associated with perceived stress, problematic internet use, depression, and health literacy.
High sub-health prevalence in medical students warrants screening; cross-sectional data leave causality and interventions open.
BACKGROUND: Sub-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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: Medical 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.
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Jiang et al. (2025) conducted a cross-sectional in Sub-health status (n=1,878). Anxiety vs. No anxiety was evaluated on Sub-health status (OR 1.97, 95% CI 1.27-3.10, p=0.002). The prevalence of sub-health status among medical students in mainland China was 57.5%, with anxiety significantly increasing the risk (OR 1.97).
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