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dc.contributor.authorZelentsov, Roman
dc.contributor.authorPoskotinova, Liliya
dc.contributor.authorMoiseeva, Alexandra
dc.contributor.authorKudryavtsev, Alexander V
dc.date.accessioned2024-09-26T09:15:19Z
dc.date.available2024-09-26T09:15:19Z
dc.date.issued2024-02-29
dc.description.abstractThe diagnostic value of the computer accommodation method remains insufficiently studied. Accommodative and refractive error is a common problem, accounting for 23% of the world’s population. The aim of the study was to investigate the objective parameters of accommodative insufficiency in young people with and without myopia. A cross-sectional study was carried out using a random sample of 116 of university students at the age of 21–23 years. Normal ranges for accommodation parameters in non-myopic participants were defined by 10th and 90th percentile values. The normal ranges were from −0.17 to −0.38 conventional units (c.u.) for accommodative response coefficient (ARC), from 0.08 to 0.41 c.u. for deviation of ARC (σARC), from 0.0 to 0.43 c.u. for accommodogram growth coefficient (AGC), from 54.26 to 58.55 microfluctuations per minute (mcf/min) for coefficient of microfluctuations (CMF), and from 2.58 to 5.26 c.u. for deviation of CMF (σCMF). Signs of computer visual syndrome were observed in 40.9% of non-myopic participants, eye strain in 11.9%, accommodation cramp in 4.5%, and absence or little accommodative response in 3.6%. Therefore, computer accommodation assessment allowed the detection of young people with an increased risk of myopia among those without this ophthalmic pathology.en_US
dc.identifier.citationZelentsov, Poskotinova, Moiseeva, Kudryavtsev. Prospects for Using Computer Accommodography to Predict Myopia Development in Young Adults. Life. 2024;14(3)
dc.identifier.cristinIDFRIDAID 2271255
dc.identifier.doi10.3390/life14030324
dc.identifier.issn2075-1729
dc.identifier.urihttps://hdl.handle.net/10037/34884
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalLife
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleProspects for Using Computer Accommodography to Predict Myopia Development in Young Adultsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)