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SLEEP DEPRIVATION AND EPIRETINAL MEMBRANE RISK: Machine Learning Findings from a Nation-wide Survey.
Ji Woo Kim1, Min Kim2, Christopher Seungkyu Lee3
1Yonsei University College of Medicine, Seoul, Republic of Korea.
Retina (Philadelphia, Pa.)
|January 22, 2026
Summary
Short sleep duration (<6 hours) on weekdays is linked to a higher risk of epiretinal membrane (ERM). This finding suggests sleep deprivation may be a modifiable factor for ERM development, especially in certain populations.
Area of Science:
- Ophthalmology
- Public Health
- Data Science
Background:
- Epiretinal membrane (ERM) is an eye condition affecting vision.
- Understanding risk factors for ERM is crucial for prevention and management.
- Sleep patterns are increasingly recognized as influencing overall health.
Purpose of the Study:
- To investigate the association between sleep deprivation and the prevalence of epiretinal membrane (ERM).
- To utilize machine learning techniques for analyzing large-scale health survey data.
- To identify potential modifiable risk factors for ERM.
Main Methods:
- Cross-sectional analysis of 15,240 participants from the Korean National Health and Nutrition Examination Survey (2017-2020).
- Machine learning-based logistic regression to model the association between sleep deprivation (<6 hours on weekdays) and ERM.
- Validation using training/internal validation (2018-2020) and external validation (2017) datasets. Feature importance assessed via Shapley values.
Main Results:
- An ERM prevalence of 9.59% was observed in the study cohort.
- Sleep deprivation was significantly associated with an increased risk of ERM (OR 1.247).
- The association was particularly notable in non-high-risk alcohol consumers and individuals with diabetes mellitus. Sleep deprivation was identified as the fourth most influential predictor.
Conclusions:
- Weekday sleep deprivation is significantly associated with a 1.25-fold increased prevalence of ERM.
- Sleep deprivation may represent a modifiable risk factor for ERM.
- Further prospective studies are recommended to establish causality and elucidate underlying biological mechanisms.
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