Poor sleep is an independent predictor of musculoskeletal pain prevalence and burden in university students
A cross-sectional study of 9,122 university students found that poor sleep was the strongest independent predictor of both MSP prevalence (OR=2.81, 95% CI: 2.26-3.49) and pain burden (OR=3.72, 95% CI: 2.86-4.83). MSP prevalence was 58.7%, with neck, back, and shoulders most affected.
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Poor sleep is an independent predictor of musculoskeletal pain prevalence and burden in university students The current body of evidence comprises 1 study. EvidenceHub rates the overall confidence at 34/100 (low).
The Claim
Poor sleep is an independent predictor of musculoskeletal pain prevalence and burden in university students
This conclusion is most relevant to: University students at Sichuan University, China (mean age 21.1 years, 44.5% female).
What the Research Shows
The conclusion draws on 1 linked study. Highlights from the cited literature:
- ▸Musculoskeletal pain in university students: lifestyle determinants of prevalence and burden. (Frontiers in public health, 2026) — A cross-sectional study of 9,122 university students found that poor sleep was the strongest independent predictor of both MSP prevalence (OR=2.81, 95% CI: 2.26-3.49) and pain burden (OR=3.72, 95% CI: 2.86-4.83). MSP prevalence was 58.7%, with neck, back, and shoulders most affected.
How It Works
The proposed biological pathway:
- ▸Poor sleep disrupts restorative processes and increases inflammation
- ▸Altered pain perception and central sensitization
- ▸Reduced physical activity and increased sedentary behavior
- ▸Result: Higher risk of MSP occurrence and severity
Who Might Benefit
Evidence fit by population:
- ▸University students at Sichuan University, China (mean age 21.1 years, 44.5% female)
Recommended Dose
N/A
Limitations & Caveats
Important context when interpreting this evidence:
- ▸Cross-sectional design prevents causal inference
- ▸Self-reported sleep and pain data may introduce recall bias
Frequently Asked Questions
What was the prevalence of musculoskeletal pain in this study?▼
58.7% of university students reported MSP, with neck (43.6%), back (37.1%), and shoulders (36.2%) most affected.
How strong was the association between poor sleep and pain burden?▼
Poor sleep had an odds ratio of 3.72 (95% CI: 2.86-4.83) for moderate to severe pain burden, making it the strongest predictor.
What other lifestyle factors predicted MSP?▼
Female gender, poor diet, high sedentary risk, long screen duration, and low physical activity were also independent predictors.
Can this study prove that poor sleep causes musculoskeletal pain?▼
No, due to the cross-sectional design, it can only show an association, not causation.
References
- 1.Li Y, Liang J, Ma J, Jia Z, Li X, Su Q. “Musculoskeletal pain in university students: lifestyle determinants of prevalence and burden..” Frontiers in public health, 2026. PMID: 42499999 DOI: 10.3389/fpubh.2026.1831482