Prevalence and risk factors of musculoskeletal disorders among medical students in China

BackgroundMusculoskeletal disorders (MSDs) are a significant health concern among medical students, potentially impacting their academic performance and future professional careers. Understanding the prevalence, distribution, and risk factors of MSDs in this population is crucial for developing effective prevention and rehabilitation strategies.ObjectiveThis study aimed to investigate the prevalence, distribution, and risk factors of MSDs among medical students, focusing on comorbidity patterns and pain localization.MethodsA cross-sectional study was conducted among 3809 medical students in Hubei, China. The Nordic Musculoskeletal Symptom Self-Assessment Scale was used to assess MSD prevalence. Risk factors were analyzed using logistic regression, and pain patterns and comorbidity associations were examined using the Apriori algorithm.ResultsMSD prevalence was 21.2% in the past week and 21.6% in the past year, with neck and shoulders most affected. Significant risk factors included older age, prolonged screen time, physical inactivity, and obesity, while sufficient sleep reduced risk. Female students had higher prevalence (61.4% vs. 38.6% in males). Single-site pain was reported by 7.2% of participants, while 6.9% experienced two-site pain. A strong comorbidity association was observed between neck/shoulder pain and upper back pain.ConclusionsMSDs among medical students are influenced by gender, age, screen time, sleep duration, and physical activity levels, often presenting as multi-site pain. These findings highlight the need for medical students to improve MSD awareness and implement preventive strategies to mitigate future work-related health risks.

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Work
Published
2025-10-27
DOI
https://doi.org/10.1177/10519815251387122
Primary Topic
Musculoskeletal pain and rehabilitation
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article
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article

Prevalence and risk factors of musculoskeletal disorders among medical students in China

Juan Wu, Jing Wang, Chenyang Zheng, Minghui He et al.
Work
Musculoskeletal pain and rehabilitation
article

Prevalence and risk factors of musculoskeletal disorders among medical students in China

Juan Wu, Jing Wang, Chenyang Zheng, Minghui He, Jing Zeng, Ao Liu, Yanli Liu, Wanhong He, Jin Zhang, Yun Gu, Wenfu Zhang
article en

Abstract

BackgroundMusculoskeletal disorders (MSDs) are a significant health concern among medical students, potentially impacting their academic performance and future professional careers. Understanding the prevalence, distribution, and risk factors of MSDs in this population is crucial for developing effective prevention and rehabilitation strategies.ObjectiveThis study aimed to investigate the prevalence, distribution, and risk factors of MSDs among medical students, focusing on comorbidity patterns and pain localization.MethodsA cross-sectional study was conducted among 3809 medical students in Hubei, China. The Nordic Musculoskeletal Symptom Self-Assessment Scale was used to assess MSD prevalence. Risk factors were analyzed using logistic regression, and pain patterns and comorbidity associations were examined using the Apriori algorithm.ResultsMSD prevalence was 21.2% in the past week and 21.6% in the past year, with neck and shoulders most affected. Significant risk factors included older age, prolonged screen time, physical inactivity, and obesity, while sufficient sleep reduced risk. Female students had higher prevalence (61.4% vs. 38.6% in males). Single-site pain was reported by 7.2% of participants, while 6.9% experienced two-site pain. A strong comorbidity association was observed between neck/shoulder pain and upper back pain.ConclusionsMSDs among medical students are influenced by gender, age, screen time, sleep duration, and physical activity levels, often presenting as multi-site pain. These findings highlight the need for medical students to improve MSD awareness and implement preventive strategies to mitigate future work-related health risks.

WorkVol. 83(3)
Hubei University of Medicine (CN)
Openalex Percentile: Top 65%
Musculoskeletal pain and rehabilitation
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