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

2024-07Journal article Embargoed access
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dc.contributor.authorKai, Jia-Yan
dc.contributor.authorWu, Yi-Bo
dc.contributor.authorDong, Xing-Xuan
dc.contributor.authorMiao, Yi-Fan
dc.contributor.authorLi, Dan-Lin
dc.contributor.authorHu, Dan-Ning
dc.contributor.authorLança, Carla
dc.contributor.authorGrzybowski, Andrzej
dc.contributor.authorPan, Chen-Wei
dc.date.accessioned2024-05-24T10:51:03Z
dc.date.embargo2026-05-24
dc.date.issued2024-07
dc.descriptionThis research was supported by the National Natural Science Foundation of China (grant number 82122059).pt_PT
dc.description.abstractPurpose: 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 (PM2.5), PM10, sulfur dioxide (SO2), carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3) 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 SO2 (OR: 1.05, 95 % CI: 1.02–1.09, per standard deviation increment in SO2 concentration). The restricted cubic spline analyses revealed a linear concentration-response relationship between SO2 and DES. The interaction analyses suggested synergetic interactions of SO2 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationKai JY, Wu YB, Dong XX, Miao YF, Li DL, Lança C, et al. Association between ambient air pollution and dry eye symptoms among Chinese individuals during the COVID-19 pandemic: a national-based study. Sci Total Environ. 2024;935:173386.pt_PT
dc.identifier.doi10.1016/j.scitotenv.2024.173386pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/17468
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0048969724035332pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectOphthalmologypt_PT
dc.subjectDry eyept_PT
dc.subjectAir pollutionpt_PT
dc.subjectPandemicspt_PT
dc.subjectCOVID-19pt_PT
dc.subjectChinapt_PT
dc.titleAssociation between ambient air pollution and dry eye symptoms among Chinese individuals during the COVID-19 pandemic: a national-based studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage173386pt_PT
oaire.citation.titleScience of The Total Environmentpt_PT
oaire.citation.volume935pt_PT
person.familyNameLança
person.givenNameCarla
person.identifier.ciencia-id601A-6412-BF2F
person.identifier.orcid0000-0001-9918-787X
rcaap.rightsembargoedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0320b455-ee19-4670-8bf2-10dce9de1bec
relation.isAuthorOfPublication.latestForDiscovery0320b455-ee19-4670-8bf2-10dce9de1bec

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