{"title":"Environmental and Occupational Triggers of Dry Eye Symptoms in the Ahsa Region of Saudi Arabia: A Cross-Sectional Study.","authors":"Saif Khuzaim Al-Dossary","doi":"10.2147/OPTH.S474832","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This cross-sectional study aimed to investigate the associations between environmental and occupational factors and the prevalence of dry eye symptoms among participants from the Ahsa region of Saudi Arabia.</p><p><strong>Methods: </strong>Participants from urban, rural, and suburban areas seeking medical care at primary health centers were recruited through systematic random sampling. Data on demographics, exposures, and ocular health were captured using a structured questionnaire. Dry eye symptoms were evaluated using the Ocular Surface Disease Index (OSDI), Impact of Dry Eye on Everyday Life (IDEEL), and Symptom Assessment in Dry Eye (SANDE) questionnaires. Logistic regression analysis examined the relationships between environmental/occupational factors and the prevalence of dry eye symptoms.</p><p><strong>Results: </strong>Key exposures included particulate matter (PM) (60%), low humidity (55%), wind/dust (50%), prolonged computer use (65%), and chemical irritants (45%). These factors were significantly associated with an increased prevalence of dry eye symptoms, with the following odds ratios (ORs): PM (1.85, 95% CI: 1.35-2.52), low humidity (1.45, 95% CI: 1.05-2.00), wind and dust (1.60, 95% CI: 1.20-2.14), prolonged computer use (2.10, 95% CI: 1.55-2.85), and chemical irritants (1.75, 95% CI: 1.30-2.35). All associations were statistically significant (p < 0.05). The use of protective equipment was associated with reduced odds of dry eye symptoms (OR 0.60, 95% CI: 0.42-0.85, p = 0.03).</p><p><strong>Conclusion: </strong>This study identifies significant associations between specific environmental and occupational exposures and the prevalence of dry eye symptoms. Reducing modifiable exposures through policy, workplace enhancements, and clinical preventative strategies is essential to mitigate the burden of dry eye symptoms related to modern lifestyles and technology.</p>","PeriodicalId":93945,"journal":{"name":"Clinical ophthalmology (Auckland, N.Z.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11368111/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical ophthalmology (Auckland, N.Z.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/OPTH.S474832","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This cross-sectional study aimed to investigate the associations between environmental and occupational factors and the prevalence of dry eye symptoms among participants from the Ahsa region of Saudi Arabia.
Methods: Participants from urban, rural, and suburban areas seeking medical care at primary health centers were recruited through systematic random sampling. Data on demographics, exposures, and ocular health were captured using a structured questionnaire. Dry eye symptoms were evaluated using the Ocular Surface Disease Index (OSDI), Impact of Dry Eye on Everyday Life (IDEEL), and Symptom Assessment in Dry Eye (SANDE) questionnaires. Logistic regression analysis examined the relationships between environmental/occupational factors and the prevalence of dry eye symptoms.
Results: Key exposures included particulate matter (PM) (60%), low humidity (55%), wind/dust (50%), prolonged computer use (65%), and chemical irritants (45%). These factors were significantly associated with an increased prevalence of dry eye symptoms, with the following odds ratios (ORs): PM (1.85, 95% CI: 1.35-2.52), low humidity (1.45, 95% CI: 1.05-2.00), wind and dust (1.60, 95% CI: 1.20-2.14), prolonged computer use (2.10, 95% CI: 1.55-2.85), and chemical irritants (1.75, 95% CI: 1.30-2.35). All associations were statistically significant (p < 0.05). The use of protective equipment was associated with reduced odds of dry eye symptoms (OR 0.60, 95% CI: 0.42-0.85, p = 0.03).
Conclusion: This study identifies significant associations between specific environmental and occupational exposures and the prevalence of dry eye symptoms. Reducing modifiable exposures through policy, workplace enhancements, and clinical preventative strategies is essential to mitigate the burden of dry eye symptoms related to modern lifestyles and technology.