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      IMI – Clinical Myopia Control Trials and Instrumentation Report

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          The epidemics of myopia: Aetiology and prevention.

          There is an epidemic of myopia in East and Southeast Asia, with the prevalence of myopia in young adults around 80-90%, and an accompanying high prevalence of high myopia in young adults (10-20%). This may foreshadow an increase in low vision and blindness due to pathological myopia. These two epidemics are linked, since the increasingly early onset of myopia, combined with high progression rates, naturally generates an epidemic of high myopia, with high prevalences of "acquired" high myopia appearing around the age of 11-13. The major risk factors identified are intensive education, and limited time outdoors. The localization of the epidemic appears to be due to the high educational pressures and limited time outdoors in the region, rather than to genetically elevated sensitivity to these factors. Causality has been demonstrated in the case of time outdoors through randomized clinical trials in which increased time outdoors in schools has prevented the onset of myopia. In the case of educational pressures, evidence of causality comes from the high prevalence of myopia and high myopia in Jewish boys attending Orthodox schools in Israel compared to their sisters attending religious schools, and boys and girls attending secular schools. Combining increased time outdoors in schools, to slow the onset of myopia, with clinical methods for slowing myopic progression, should lead to the control of this epidemic, which would otherwise pose a major health challenge. Reforms to the organization of school systems to reduce intense early competition for accelerated learning pathways may also be important.
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            Effect of Time Spent Outdoors at School on the Development of Myopia Among Children in China: A Randomized Clinical Trial.

            Myopia has reached epidemic levels in parts of East and Southeast Asia. However, there is no effective intervention to prevent the development of myopia.
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              IMI – Defining and Classifying Myopia: A Proposed Set of Standards for Clinical and Epidemiologic Studies

              Purpose We provide a standardized set of terminology, definitions, and thresholds of myopia and its main ocular complications. Methods Critical review of current terminology and choice of myopia thresholds was done to ensure that the proposed standards are appropriate for clinical research purposes, relevant to the underlying biology of myopia, acceptable to researchers in the field, and useful for developing health policy. Results We recommend that the many descriptive terms of myopia be consolidated into the following descriptive categories: myopia, secondary myopia, axial myopia, and refractive myopia. To provide a framework for research into myopia prevention, the condition of “pre-myopia” is defined. As a quantitative trait, we recommend that myopia be divided into myopia (i.e., all myopia), low myopia, and high myopia. The current consensus threshold value for myopia is a spherical equivalent refractive error ≤ −0.50 diopters (D), but this carries significant risks of classification bias. The current consensus threshold value for high myopia is a spherical equivalent refractive error ≤ −6.00 D. “Pathologic myopia” is proposed as the categorical term for the adverse, structural complications of myopia. A clinical classification is proposed to encompass the scope of such structural complications. Conclusions Standardized definitions and consistent choice of thresholds are essential elements of evidence-based medicine. It is hoped that these proposals, or derivations from them, will facilitate rigorous, evidence-based approaches to the study and management of myopia.
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                Author and article information

                Journal
                Investigative Opthalmology & Visual Science
                Invest. Ophthalmol. Vis. Sci.
                Association for Research in Vision and Ophthalmology (ARVO)
                1552-5783
                February 28 2019
                February 28 2019
                : 60
                : 3
                : M132
                Affiliations
                [1 ]Ophthalmic Research Group, Aston University, Birmingham, United Kingdom
                [2 ]Indiana University, School of Optometry, Bloomington, Indiana, United States
                [3 ]The Ocular Surface Institute, College of Optometry, University of Houston, Houston, Texas, United States
                [4 ]School of Optometry and Vision Science, Institute of Health and Biomedical Innovation, Queensland University of Technology, Australia
                [5 ]SUNY College of Optometry, New York, New York, United States
                [6 ]School of Health Professions, Peninsula Allied Health Centre, Plymouth University, Plymouth, United Kingdom
                [7 ]Department of Applied Visual Science, Osaka University Graduate School of Medicine, Osaka, Japan
                [8 ]Department of Ophthalmology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
                [9 ]School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada
                [10 ]Applied Physics, KTH Royal Institute of Technology, Sweden
                [11 ]Department of Ophthalmology, Keio University School of Medicine, Tokyo, Japan
                [12 ]African Vision Research Institute, University of KwaZulu-Natal, Durban, South Africa
                Article
                10.1167/iovs.18-25955
                30817830
                db3d6fe4-d4a6-451d-9820-812392d59186
                © 2019

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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