Dry Eye Syndrome Survey Data for 794 Pilots with Multivariate Analysis

794 pilots were surveyed in an observational study investigating the prevalence and factors of Dry Eye Syndrome (DES). All surveyed pilots were affected, with 88.40% experiencing moderate DES and 11.60% severe DES. The dataset, authored by Mingyue Zhang and last updated in March 2026, contains results analyzed via multiple linear regression.

Use Cases

• Modeling the relationship between DES severity and factors like eyelid diseases or ocular surface disease based on the study's findings.
• Analyzing the correlation between poor sleep quality, fatigue, and DES scores as indicated in the results.
• Investigating the protective effect of physical activity and southern region residence on DES scores as reported.
• Developing risk assessment tools for DES in occupational groups based on the identified significant covariates.

Strengths

• Dataset includes results from a study of 794 individuals, providing a substantial sample size.
• Analysis includes multivariate regression results identifying statistically significant factors (p < 0.05).
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and occupational bias inherent to the specific pilot cohort studied.

Provenance

Source

Mingyue Zhang via figshare.

Collection Method

Data collected through surveys from 794 pilots in a descriptive, observational study.

Time Range

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Freshness

Last updated 2026-03 17:26:33; freshness should be verified.

Geography

Study mentions a 'southern region' as a factor, but specific geographic coverage is not detailed.