Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic

Background: Presbyopia is often overlooked in refractive error distribution analysis. This article employs multivariate analysis to address this gap, enhancing understanding of means, outliers and variations through graphical data presentation. Aim: To analyse the distribution of near-corrective op...

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Main Authors: Khisimusi D. Maluleke, Nabeela Hasrod, Alan Rubin
Format: Article
Language:English
Published: AOSIS 2025-02-01
Series:African Vision and Eye Health
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Online Access:https://avehjournal.org/index.php/aveh/article/view/980
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author Khisimusi D. Maluleke
Nabeela Hasrod
Alan Rubin
author_facet Khisimusi D. Maluleke
Nabeela Hasrod
Alan Rubin
author_sort Khisimusi D. Maluleke
collection DOAJ
description Background: Presbyopia is often overlooked in refractive error distribution analysis. This article employs multivariate analysis to address this gap, enhancing understanding of means, outliers and variations through graphical data presentation. Aim: To analyse the distribution of near-corrective optical additions for presbyopic patients over 2 years at a rural optometry clinic. Setting: The study was conducted at Sekororo District Hospital, South Africa. Methods: Non-cycloplegic near-refractive error data for presbyopic patients who visited the clinic at the district hospital from January 2018 to December 2019 were extracted from the hospital’s records. The records were randomly divided into two groups for 2018 and 2019. Meridional plots and stereo-pair scatter plots were used to analyse the refractive states for the right (OD) and left (OS) eyes. Results: In the 2018 sample, the clinical means for OD and OS were +1.33 ‒0.32 × 90 and +2.01 ‒0.37 × 77, respectively. Similarly, for the 2019 sample, the clinical means for OD and OS were +2.01 ‒0.32 × 82 and +1.82 ‒0.18 × 95, respectively. The data were not normally distributed, and outliers were present. Sample variances were spherical rather than astigmatic. Conclusion: Deviation from the normality showed that the data for OD and OS were mainly mildly positively skewed. Much of the variation in the refractive state was spherical (the stigmatic) irrespective of the laterality. Contribution: The article makes a valuable contribution to the current understanding of multivariate analysis, in academic training including optometry fraternity, as it pertains to the refractive state of the eyes in a rural optometry clinic.
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spelling doaj-art-3ecd397ef254426eae90c8eb9c783a212025-08-20T03:15:55ZengAOSISAfrican Vision and Eye Health2413-31832410-15162025-02-01841e1e910.4102/aveh.v84i1.980627Multivariate analysis of near additions for presbyopic patients at a rural optometry clinicKhisimusi D. Maluleke0Nabeela Hasrod1Alan Rubin2Department of Optometry, Faculty of Health Science, University of Johannesburg, Johannesburg, South Africa; and, Limpopo Department of Health, PolokwaneDepartment of Optometry, Faculty of Health Science, University of Johannesburg, JohannesburgDepartment of Optometry, Faculty of Health Science, University of Johannesburg, JohannesburgBackground: Presbyopia is often overlooked in refractive error distribution analysis. This article employs multivariate analysis to address this gap, enhancing understanding of means, outliers and variations through graphical data presentation. Aim: To analyse the distribution of near-corrective optical additions for presbyopic patients over 2 years at a rural optometry clinic. Setting: The study was conducted at Sekororo District Hospital, South Africa. Methods: Non-cycloplegic near-refractive error data for presbyopic patients who visited the clinic at the district hospital from January 2018 to December 2019 were extracted from the hospital’s records. The records were randomly divided into two groups for 2018 and 2019. Meridional plots and stereo-pair scatter plots were used to analyse the refractive states for the right (OD) and left (OS) eyes. Results: In the 2018 sample, the clinical means for OD and OS were +1.33 ‒0.32 × 90 and +2.01 ‒0.37 × 77, respectively. Similarly, for the 2019 sample, the clinical means for OD and OS were +2.01 ‒0.32 × 82 and +1.82 ‒0.18 × 95, respectively. The data were not normally distributed, and outliers were present. Sample variances were spherical rather than astigmatic. Conclusion: Deviation from the normality showed that the data for OD and OS were mainly mildly positively skewed. Much of the variation in the refractive state was spherical (the stigmatic) irrespective of the laterality. Contribution: The article makes a valuable contribution to the current understanding of multivariate analysis, in academic training including optometry fraternity, as it pertains to the refractive state of the eyes in a rural optometry clinic.https://avehjournal.org/index.php/aveh/article/view/980dioptric powerrefractive errorspresbyopianear-vision impairmentdistributional analysis
spellingShingle Khisimusi D. Maluleke
Nabeela Hasrod
Alan Rubin
Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
African Vision and Eye Health
dioptric power
refractive errors
presbyopia
near-vision impairment
distributional analysis
title Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
title_full Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
title_fullStr Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
title_full_unstemmed Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
title_short Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
title_sort multivariate analysis of near additions for presbyopic patients at a rural optometry clinic
topic dioptric power
refractive errors
presbyopia
near-vision impairment
distributional analysis
url https://avehjournal.org/index.php/aveh/article/view/980
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