New Age Borders Obtained from Spot Photoscreener by Using Multivariate Cluster Analysis

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dc.authoridhttps://orcid.org/0000-0003-3488-1515en_US
dc.authoridhttp://orcid.org/0000-0003-2849-4033en_US
dc.authoridhttp://orcid.org/0000-0001-7008-077Xen_US
dc.authoridhttp://orcid.org/0000-0002-9028-1605en_US
dc.contributor.authorBulut, Erkan
dc.contributor.authorÇelik, Yusuf
dc.contributor.authorDayi, Özlem
dc.contributor.authorBulut, Hatice
dc.date.accessioned2023-11-01T12:47:25Z
dc.date.available2023-11-01T12:47:25Z
dc.date.issued2022en_US
dc.departmentSağlık Hizmetleri Meslek Yüksekokuluen_US
dc.description.abstractObjective: The aim of this study is to analyze all the variables obtained from photoscreener using hierarchical cluster analysis to create more homogeneous age groups for more reliable and consistent measurement by photoscreener. Methods: The variables obtained from photoscreener examination of consecutive children who attended the ophthalmology department were evaluated. Medical records of the children were evaluated to ontain data including refractive parameters, deviation angle, pupil diameter variables and the calculated spherical equivalent, the cylindrical power vector J0, J45 values. These variables were analyzed by the multivariate cluster analysis. Results: Based on a dendrogram, 4 main clusters of similar quality variables were created. The calculated spherical equivalent decreased gradually from cluster I to IV, from 0.745 D to –0.235 D. The average pupil size in the Ist cluster was 5.06 mm, while in the IVth cluster, it was 6.38 mm. The proposed new age borders are distinct and statistically significant (P <.001). The ultimate proposed new age borders were found as 1-20, 21-64, 65-101, and 102-120 months, respectively. Conclusions: We proposed new age borders for the evaluation of refraction and pupil size of children which create new groups with a statistically different and homogeneous distribution. The proposed new age borders in this research would provide more reliable and consistent measurement results for clinical diagnosis.en_US
dc.identifier.doi10.5152/EurJTher.2022.21041en_US
dc.identifier.endpage208en_US
dc.identifier.issn2564-7784
dc.identifier.issn2564-7040
dc.identifier.issue3en_US
dc.identifier.startpage203en_US
dc.identifier.trdizinid1131600en_US
dc.identifier.urihttps://hdl.handle.net/11363/6165
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1131600
dc.identifier.urihttps://doi.org/
dc.identifier.volume28en_US
dc.identifier.wosWOS:000865982700007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorBulut, Hatice
dc.language.isoenen_US
dc.publisherPera Yayıncılık Hizmetlerien_US
dc.relation.ispartofEuropean Journal of Therapeuticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectAge borderen_US
dc.subjectclassificationen_US
dc.subjectcluster analysisen_US
dc.subjectdendrogramen_US
dc.subjectphotoscreeneren_US
dc.titleNew Age Borders Obtained from Spot Photoscreener by Using Multivariate Cluster Analysisen_US
dc.typeArticleen_US

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