Epidemiology of dry eye disease in Argentina
- Autores
- Marini, María C.; Liviero, Belén; Torres, Rodrigo M.; Galperin, Gustavo; Galletti, Jeremías Gastón; Alves, Monica
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- BackgroundTo evaluate the prevalence of dry eye disease (DED) and its associated risk factors in a sample of the Argentine population.MethodsA prospective cross-sectional population-based study was conducted in Argentina during April 2022 through an anonymous electronic survey that included participants aged 12 years old or older. The prevalence of symptomatic DED was evaluated using the Women's Health Study (WHS) dry eye questionnaire. In addition, a list of conditions possibly related to dry eye were evaluated in the questionnaire to assess the prevalence of potential risk factors. A multivariate logistic regression analysis was performed.Results10,812 subjects (mean age 44.1 ± 13.9, range 12–94 years old) answered the survey. Overall prevalence of DED was 42.1%. DED prevalence in women was 45.1% (3848 out of 8525) and in men was 30.8% (704 out of 2287). Risk factors were female sex (OR 2.78; p < 0.001), age > 60 years (OR 2.92), rheumatologic disease (OR 2.80, CI 1.62–3.13), use of digital screens for more than 6 h per day (OR 2.62; CI 1.43–2.80), glaucoma topical treatment (OR 2.05; CI 1.20–3.01), dysthyroidism (2.03; CI 1.48–2.51), and sleeping less than 7 h per day (OR 1.92; CI 1.30–2.51).ConclusionDED was found to be a prevalent condition among Argentine participants, the main risk factors were determined by sex, age, and especially those related to lifestyle in South America.
Fil: Marini, María C.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic; Argentina
Fil: Liviero, Belén. No especifíca;
Fil: Torres, Rodrigo M.. No especifíca;
Fil: Galperin, Gustavo. Hospital Oftalmológico Pedro Lagleyze; Argentina
Fil: Galletti, Jeremías Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental. Academia Nacional de Medicina de Buenos Aires. Instituto de Medicina Experimental; Argentina
Fil: Alves, Monica. Universidade Estadual Do Campinas. Faculdade de Cs.médicas; Brasil - Materia
-
DRY EYE
EPIDEMIOLOGY
RISK FACTORS
ARGENTINA - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/264246
Ver los metadatos del registro completo
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Epidemiology of dry eye disease in ArgentinaMarini, María C.Liviero, BelénTorres, Rodrigo M.Galperin, GustavoGalletti, Jeremías GastónAlves, MonicaDRY EYEEPIDEMIOLOGYRISK FACTORSARGENTINAhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3BackgroundTo evaluate the prevalence of dry eye disease (DED) and its associated risk factors in a sample of the Argentine population.MethodsA prospective cross-sectional population-based study was conducted in Argentina during April 2022 through an anonymous electronic survey that included participants aged 12 years old or older. The prevalence of symptomatic DED was evaluated using the Women's Health Study (WHS) dry eye questionnaire. In addition, a list of conditions possibly related to dry eye were evaluated in the questionnaire to assess the prevalence of potential risk factors. A multivariate logistic regression analysis was performed.Results10,812 subjects (mean age 44.1 ± 13.9, range 12–94 years old) answered the survey. Overall prevalence of DED was 42.1%. DED prevalence in women was 45.1% (3848 out of 8525) and in men was 30.8% (704 out of 2287). Risk factors were female sex (OR 2.78; p < 0.001), age > 60 years (OR 2.92), rheumatologic disease (OR 2.80, CI 1.62–3.13), use of digital screens for more than 6 h per day (OR 2.62; CI 1.43–2.80), glaucoma topical treatment (OR 2.05; CI 1.20–3.01), dysthyroidism (2.03; CI 1.48–2.51), and sleeping less than 7 h per day (OR 1.92; CI 1.30–2.51).ConclusionDED was found to be a prevalent condition among Argentine participants, the main risk factors were determined by sex, age, and especially those related to lifestyle in South America.Fil: Marini, María C.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic; ArgentinaFil: Liviero, Belén. No especifíca;Fil: Torres, Rodrigo M.. No especifíca;Fil: Galperin, Gustavo. Hospital Oftalmológico Pedro Lagleyze; ArgentinaFil: Galletti, Jeremías Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental. Academia Nacional de Medicina de Buenos Aires. Instituto de Medicina Experimental; ArgentinaFil: Alves, Monica. Universidade Estadual Do Campinas. Faculdade de Cs.médicas; BrasilSpringer2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/264246Marini, María C.; Liviero, Belén; Torres, Rodrigo M.; Galperin, Gustavo; Galletti, Jeremías Gastón; et al.; Epidemiology of dry eye disease in Argentina; Springer; Discover Public Health; 21; 1; 8-2024; 1-123005-0774CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ete-online.biomedcentral.com/articles/10.1186/s12982-024-00185-yinfo:eu-repo/semantics/altIdentifier/doi/10.1186/s12982-024-00185-yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:23:18Zoai:ri.conicet.gov.ar:11336/264246instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:23:18.84CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Epidemiology of dry eye disease in Argentina |
title |
Epidemiology of dry eye disease in Argentina |
spellingShingle |
Epidemiology of dry eye disease in Argentina Marini, María C. DRY EYE EPIDEMIOLOGY RISK FACTORS ARGENTINA |
title_short |
Epidemiology of dry eye disease in Argentina |
title_full |
Epidemiology of dry eye disease in Argentina |
title_fullStr |
Epidemiology of dry eye disease in Argentina |
title_full_unstemmed |
Epidemiology of dry eye disease in Argentina |
title_sort |
Epidemiology of dry eye disease in Argentina |
dc.creator.none.fl_str_mv |
Marini, María C. Liviero, Belén Torres, Rodrigo M. Galperin, Gustavo Galletti, Jeremías Gastón Alves, Monica |
author |
Marini, María C. |
author_facet |
Marini, María C. Liviero, Belén Torres, Rodrigo M. Galperin, Gustavo Galletti, Jeremías Gastón Alves, Monica |
author_role |
author |
author2 |
Liviero, Belén Torres, Rodrigo M. Galperin, Gustavo Galletti, Jeremías Gastón Alves, Monica |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
DRY EYE EPIDEMIOLOGY RISK FACTORS ARGENTINA |
topic |
DRY EYE EPIDEMIOLOGY RISK FACTORS ARGENTINA |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
BackgroundTo evaluate the prevalence of dry eye disease (DED) and its associated risk factors in a sample of the Argentine population.MethodsA prospective cross-sectional population-based study was conducted in Argentina during April 2022 through an anonymous electronic survey that included participants aged 12 years old or older. The prevalence of symptomatic DED was evaluated using the Women's Health Study (WHS) dry eye questionnaire. In addition, a list of conditions possibly related to dry eye were evaluated in the questionnaire to assess the prevalence of potential risk factors. A multivariate logistic regression analysis was performed.Results10,812 subjects (mean age 44.1 ± 13.9, range 12–94 years old) answered the survey. Overall prevalence of DED was 42.1%. DED prevalence in women was 45.1% (3848 out of 8525) and in men was 30.8% (704 out of 2287). Risk factors were female sex (OR 2.78; p < 0.001), age > 60 years (OR 2.92), rheumatologic disease (OR 2.80, CI 1.62–3.13), use of digital screens for more than 6 h per day (OR 2.62; CI 1.43–2.80), glaucoma topical treatment (OR 2.05; CI 1.20–3.01), dysthyroidism (2.03; CI 1.48–2.51), and sleeping less than 7 h per day (OR 1.92; CI 1.30–2.51).ConclusionDED was found to be a prevalent condition among Argentine participants, the main risk factors were determined by sex, age, and especially those related to lifestyle in South America. Fil: Marini, María C.. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic; Argentina Fil: Liviero, Belén. No especifíca; Fil: Torres, Rodrigo M.. No especifíca; Fil: Galperin, Gustavo. Hospital Oftalmológico Pedro Lagleyze; Argentina Fil: Galletti, Jeremías Gastón. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Medicina Experimental. Academia Nacional de Medicina de Buenos Aires. Instituto de Medicina Experimental; Argentina Fil: Alves, Monica. Universidade Estadual Do Campinas. Faculdade de Cs.médicas; Brasil |
description |
BackgroundTo evaluate the prevalence of dry eye disease (DED) and its associated risk factors in a sample of the Argentine population.MethodsA prospective cross-sectional population-based study was conducted in Argentina during April 2022 through an anonymous electronic survey that included participants aged 12 years old or older. The prevalence of symptomatic DED was evaluated using the Women's Health Study (WHS) dry eye questionnaire. In addition, a list of conditions possibly related to dry eye were evaluated in the questionnaire to assess the prevalence of potential risk factors. A multivariate logistic regression analysis was performed.Results10,812 subjects (mean age 44.1 ± 13.9, range 12–94 years old) answered the survey. Overall prevalence of DED was 42.1%. DED prevalence in women was 45.1% (3848 out of 8525) and in men was 30.8% (704 out of 2287). Risk factors were female sex (OR 2.78; p < 0.001), age > 60 years (OR 2.92), rheumatologic disease (OR 2.80, CI 1.62–3.13), use of digital screens for more than 6 h per day (OR 2.62; CI 1.43–2.80), glaucoma topical treatment (OR 2.05; CI 1.20–3.01), dysthyroidism (2.03; CI 1.48–2.51), and sleeping less than 7 h per day (OR 1.92; CI 1.30–2.51).ConclusionDED was found to be a prevalent condition among Argentine participants, the main risk factors were determined by sex, age, and especially those related to lifestyle in South America. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/264246 Marini, María C.; Liviero, Belén; Torres, Rodrigo M.; Galperin, Gustavo; Galletti, Jeremías Gastón; et al.; Epidemiology of dry eye disease in Argentina; Springer; Discover Public Health; 21; 1; 8-2024; 1-12 3005-0774 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/264246 |
identifier_str_mv |
Marini, María C.; Liviero, Belén; Torres, Rodrigo M.; Galperin, Gustavo; Galletti, Jeremías Gastón; et al.; Epidemiology of dry eye disease in Argentina; Springer; Discover Public Health; 21; 1; 8-2024; 1-12 3005-0774 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://ete-online.biomedcentral.com/articles/10.1186/s12982-024-00185-y info:eu-repo/semantics/altIdentifier/doi/10.1186/s12982-024-00185-y |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |