ArticleFrontiers in public health2026
Epidemiological study of dry eye disease in Gansu Province based on mathematical modeling: analysis of regional population characteristics and identification of risk factors.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To investigate the epidemiological characteristics of dry eye disease (DED) in Gansu Province, examine the associations between regional population features and DED, and identify risk factors contributing to disease onset, thereby providing scientific evidence for clinical prevention, diagnosis, and intervention in this region. Methods: A cross-sectional study was conducted from August 2024 to August 2025 using stratified, multi-stage cluster random sampling. A Results: Climate type, elevation, sex, daily screen time, sleep quality, and smoking were associated with DED in the conventional multivariable model (all Conclusion: The prevalence of DED in Gansu Province is affected by multiple factors related to regional environment, population characteristics, and lifestyle behaviors. Climate type, daily screen time and sleep quality are key risk factors. Public health interventions should prioritize high-risk regions and high-risk populations.
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