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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/264246
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/264246
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-15T15:20:29Zoai: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:34982025-10-15 15:20:30.196CONICET 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
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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