Association between ambient air pollution and dry eye symptoms among Chinese individuals during the COVID-19 pandemic: A national-based study

被引:0
作者
Kai, Jia-Yan [1 ]
Wu, Yi-Bo [2 ]
Dong, Xing-Xuan [1 ]
Miao, Yi-Fan [1 ]
Li, Dan-Lin [1 ]
Hu, Dan-Ning [3 ]
Lanca, Carla [4 ,5 ]
Grzybowski, Andrzej [6 ]
Pan, Chen-Wei [1 ]
机构
[1] Soochow Univ, Sch Publ Hlth, Suzhou Med Coll, 199 Ren Ai Rd, Suzhou 215123, Peoples R China
[2] Peking Univ, Sch Publ Hlth, Beijing, Peoples R China
[3] New York Eye & Ear Infirm Mt Sinai, Icahn Sch Med Mt Sinai, New York, NY 10003 USA
[4] Inst Politecn Lisboa, ESTeSL Escola Super Tecnol Saude Lisboa, Lisbon, Portugal
[5] Univ Nova Lisboa, Comprehens Hlth Res Ctr CHRC, Escola Nacl Saude Publ, Lisbon, Portugal
[6] Fdn Ophthalmol Dev, Inst Res Ophthalmol, Poznan, Poland
关键词
Air pollution; Dry eye; Pandemic; DISEASE; PREVALENCE; IMPACT; LIFE;
D O I
10.1016/j.scitotenv.2024.173386
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Purpose: To examine the association between ambient air pollution and dry eye symptoms (DES) during the COVID-19 pandemic and explore whether air pollution had increased the risk of DES to a greater extent than other risk factors. Methods: A nationwide cross-sectional survey was conducted from June 20, 2022 to August 31, 2022. The Ocular Surface Disease Index -6 (OSDI-6) questionnaire was used to assess the presence of DES. Logistic regression models were employed to analyze the associations between DES and air pollution variables, including air quality index (AQI), fine particulate matter (PM 2.5 ), PM 10 , sulfur dioxide (SO 2 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ), ozone (O 3 ) and residing near industrial zones. We explored the interactions of air pollutants and other risk factors in the additive models by calculating the synergy index (SI). Standardized regression coefficients were calculated to compare the relative importance of risk factors for DES. Results: A total of 21,909 participants were included in the analysis. Residing near industrial zones was significantly correlated with a higher risk of DES (Odds ratio (OR): 1.57, 95 % confidence interval (CI): 1.38-1.79). No significant associations were found between DES and air pollutants except SO 2 (OR: 1.05, 95 % CI: 1.02-1.09, per standard deviation increment in SO 2 concentration). The restricted cubic spline analyses revealed a linear concentration -response relationship between SO 2 and DES. The interaction analyses suggested synergetic interactions of SO 2 with depression and problematic internet use. Among the risk factors, depression, anxiety and problematic Internet use contributed more to the increased risk of DES. Conclusion: The association between ambient air pollutants and DES may have been mitigated during the pandemic due to increased time spent indoors. Despite this, our findings support the deleterious health impact of air pollutants. Future urban planning should plan industrial zones further away from residential areas.
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