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Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has presented numerous challenges to public health, including the emergence of subjective dry eye symptoms among individuals. However, there is currently a dearth of comprehensive knowledge regarding the associated factors with subjective...

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Autores principales: Wang, Xue, Wu, Yibo, Zhao, Fangkun, Sun, Wei, Pang, Chang, Sun, Xuange, Zang, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691301/
https://www.ncbi.nlm.nih.gov/pubmed/38038375
http://dx.doi.org/10.7189/jogh.13.06052
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author Wang, Xue
Wu, Yibo
Zhao, Fangkun
Sun, Wei
Pang, Chang
Sun, Xuange
Zang, Shuang
author_facet Wang, Xue
Wu, Yibo
Zhao, Fangkun
Sun, Wei
Pang, Chang
Sun, Xuange
Zang, Shuang
author_sort Wang, Xue
collection PubMed
description BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has presented numerous challenges to public health, including the emergence of subjective dry eye symptoms among individuals. However, there is currently a dearth of comprehensive knowledge regarding the associated factors with subjective dry eye symptoms in the general population. METHODS: A nationwide survey in China was carried out from 20 June to 31 August 2022, involving 21 916 participants. Subjective dry eye symptoms were assessed using the Ocular Surface Disease Index-6. We employed random forest classification to select potential associated factors based on the socioecological model. We also conducted univariate and multivariable logistic regression analyses to explore the factors associated with subjective dry eye symptoms. Network analyses were employed to explore the network structure of subjective dry eye symptoms and associated factors. RESULTS: The item “watching TV (or similar task)” displayed the highest node strength and exhibited the highest predictability within the network. The results of the multivariate logistic regression analysis demonstrated significant associations between subjective dry eye symptoms and several factors, including loneliness (odds ratio (OR) = 1.29; 95% confidence interval (CI) = 1.26 to 1.32), problematic Internet use (OR = 1.08; 95% CI = 1.08 to 1.09), family communication (OR = 1.01; 95% CI = 1.00 to 1.01), the presence of depression (OR = 1.53; 95% CI = 1.39 to 1.68) and anxiety (OR = 1.31; 95% CI = 1.17 to 1.47) symptoms, older age (OR = 1.01; 95% CI = 1.01 to 1.01), self-rated health status (OR = 0.99; 95% CI = 0.98 to 0.99), family health (OR = 0.97; 95% CI = 0.96 to 0.97), health literacy (OR = 0.98; 95% CI = 0.97 to 0.99) and the agreeableness personality trait (OR = 0.97; 95% CI = 0.95 to 0.99). CONCLUSIONS: These findings have important implications for public health interventions targeting the prevention and management of subjective dry eye symptoms in the general population. Strategies addressing individual risk factors and supporting psychological well-being may prove beneficial in mitigating the burden associated with subjective dry eye symptoms.
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spelling pubmed-106913012023-12-02 Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis Wang, Xue Wu, Yibo Zhao, Fangkun Sun, Wei Pang, Chang Sun, Xuange Zang, Shuang J Glob Health Articles BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has presented numerous challenges to public health, including the emergence of subjective dry eye symptoms among individuals. However, there is currently a dearth of comprehensive knowledge regarding the associated factors with subjective dry eye symptoms in the general population. METHODS: A nationwide survey in China was carried out from 20 June to 31 August 2022, involving 21 916 participants. Subjective dry eye symptoms were assessed using the Ocular Surface Disease Index-6. We employed random forest classification to select potential associated factors based on the socioecological model. We also conducted univariate and multivariable logistic regression analyses to explore the factors associated with subjective dry eye symptoms. Network analyses were employed to explore the network structure of subjective dry eye symptoms and associated factors. RESULTS: The item “watching TV (or similar task)” displayed the highest node strength and exhibited the highest predictability within the network. The results of the multivariate logistic regression analysis demonstrated significant associations between subjective dry eye symptoms and several factors, including loneliness (odds ratio (OR) = 1.29; 95% confidence interval (CI) = 1.26 to 1.32), problematic Internet use (OR = 1.08; 95% CI = 1.08 to 1.09), family communication (OR = 1.01; 95% CI = 1.00 to 1.01), the presence of depression (OR = 1.53; 95% CI = 1.39 to 1.68) and anxiety (OR = 1.31; 95% CI = 1.17 to 1.47) symptoms, older age (OR = 1.01; 95% CI = 1.01 to 1.01), self-rated health status (OR = 0.99; 95% CI = 0.98 to 0.99), family health (OR = 0.97; 95% CI = 0.96 to 0.97), health literacy (OR = 0.98; 95% CI = 0.97 to 0.99) and the agreeableness personality trait (OR = 0.97; 95% CI = 0.95 to 0.99). CONCLUSIONS: These findings have important implications for public health interventions targeting the prevention and management of subjective dry eye symptoms in the general population. Strategies addressing individual risk factors and supporting psychological well-being may prove beneficial in mitigating the burden associated with subjective dry eye symptoms. International Society of Global Health 2023-12-01 /pmc/articles/PMC10691301/ /pubmed/38038375 http://dx.doi.org/10.7189/jogh.13.06052 Text en Copyright © 2023 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Wang, Xue
Wu, Yibo
Zhao, Fangkun
Sun, Wei
Pang, Chang
Sun, Xuange
Zang, Shuang
Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis
title Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis
title_full Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis
title_fullStr Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis
title_full_unstemmed Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis
title_short Subjective dry eye symptoms and associated factors among the national general population in China during the COVID-19 pandemic: A network analysis
title_sort subjective dry eye symptoms and associated factors among the national general population in china during the covid-19 pandemic: a network analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691301/
https://www.ncbi.nlm.nih.gov/pubmed/38038375
http://dx.doi.org/10.7189/jogh.13.06052
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