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Tapasztó B, Flitcroft DI, Aclimandos WA, Jonas JB, De Faber JTHN, Nagy ZZ, Kestelyn PG, Januleviciene I, Grzybowski A, Vidinova CN, Guggenheim JA, Polling JR, Wolffsohn JS, Tideman JWL, Allen PM, Baraas RC, Saunders KJ, McCullough SJ, Gray LS, Wahl S, Smirnova IY, Formenti M, Radhakrishnan H, Resnikoff S, Németh J. Myopia management algorithm. Annexe to the article titled Update and guidance on management of myopia. European Society of Ophthalmology in cooperation with International Myopia Institute. Eur J Ophthalmol 2024; 34:952-966. [PMID: 38087768 PMCID: PMC11295429 DOI: 10.1177/11206721231219532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/23/2023] [Indexed: 02/06/2024]
Abstract
Myopia is becoming increasingly common in young generations all over the world, and it is predicted to become the most common cause of blindness and visual impairment in later life in the near future. Because myopia can cause serious complications and vision loss, it is critical to create and prescribe effective myopia treatment solutions that can help prevent or delay the onset and progression of myopia. The scientific understanding of myopia's causes, genetic background, environmental conditions, and various management techniques, including therapies to prevent or postpone its development and slow its progression, is rapidly expanding. However, some significant information gaps exist on this subject, making it difficult to develop an effective intervention plan. As with the creation of this present algorithm, a compromise is to work on best practices and reach consensus among a wide number of specialists. The quick rise in information regarding myopia management may be difficult for the busy eye care provider, but it necessitates a continuing need to evaluate new research and implement it into daily practice. To assist eye care providers in developing these strategies, an algorithm has been proposed that covers all aspects of myopia mitigation and management. The algorithm aims to provide practical assistance in choosing and developing an effective myopia management strategy tailored to the individual child. It incorporates the latest research findings and covers a wide range of modalities, from primary, secondary, and tertiary myopia prevention to interventions that reduce the progression of myopia.
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Affiliation(s)
- Beáta Tapasztó
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
- Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Daniel Ian Flitcroft
- Temple Street Children's Hospital, Dublin, Ireland
- Centre for Eye Research Ireland (CERI) Technological University, Dublin, Ireland
| | | | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Zoltán Zsolt Nagy
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
| | | | | | - Andrzej Grzybowski
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland
| | - Christina Nicolaeva Vidinova
- Department of Ophthalmology, Military Medical Academy, Sofia, Bulgaria
- Department of Optometry, Sofia University “St. Kliment Ohridski“, Sofia, Bulgaria
| | | | - Jan Roelof Polling
- Department of Ophthalmology and Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Optometry and Orthoptics, University of Applied Science, Utrecht, The Netherlands
| | - James S Wolffsohn
- Optometry and Vision Science Research Group, College of Health and Life Sciences, Aston University, Birmingham, UK
| | - J Willem L Tideman
- Department of Ophthalmology and Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department Ophthalmology, Martini Hospital, Groningen, The Netherlands
| | - Peter M Allen
- Vision and Hearing Sciences Research Centre, Anglia Ruskin University, Cambridge, UK
| | - Rigmor C Baraas
- National Centre for Optics, Vision and Eye Care, University of South-Eastern Norway, Kongsberg, Norway
| | - Kathryn J Saunders
- Centre for Optometry and Vision Science, Ulster University, Coleraine, UK
| | - Sara J McCullough
- Centre for Optometry and Vision Science, Ulster University, Coleraine, UK
| | | | - Siegfried Wahl
- Institute for Ophthalmic Research, University Tübingen, Tübingen, Germany
- Carl Zeiss Vision International GmbH, Tübingen, Germany
| | | | - Marino Formenti
- Department of Physics, School of Science, University of Padova, Padova, Italy
| | - Hema Radhakrishnan
- Division of Pharmacy and Optometry, University of Manchester, Manchester, UK
| | - Serge Resnikoff
- School of Optometry and Vision Science, University of New South Wales, Sydney, Australia
- Brien Holden Vision Institute, Sydney, Australia
| | - János Németh
- Department of Ophthalmology, Semmelweis University, Budapest, Hungary
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Wang J, Shen Y, Zhao J, Wang X, Chen Z, Han T, Huang Y, Wang Y, Zhao W, Wen W, Zhou X, Xu Y. Algorithmic and sensor-based research on Chinese children's and adolescents' screen use behavior and light environment. Front Public Health 2024; 12:1352759. [PMID: 38454995 PMCID: PMC10917963 DOI: 10.3389/fpubh.2024.1352759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/06/2024] [Indexed: 03/09/2024] Open
Abstract
Background Myopia poses a global health concern and is influenced by both genetic and environmental factors. The incidence of myopia tends to increase during infectious outbreaks, such as the COVID-19 pandemic. This study examined the screen-time behaviors among Chinese children and adolescents and investigated the efficacy of artificial intelligence (AI)-based alerts in modifying screen-time practices. Methods A cross-sectional analysis was performed using data from 6,716 children and adolescents with AI-enhanced tablets that monitored and recorded their behavior and environmental light during screen time. Results The median daily screen time of all participants was 58.82 min. Among all age groups, elementary-school students had the longest median daily screen time, which was 87.25 min and exceeded 4 h per week. Children younger than 2 years engaged with tablets for a median of 41.84 min per day. Learning accounted for 54.88% of participants' screen time, and 51.03% (3,390/6,643) of the participants used tablets for 1 h at an average distance <50 cm. The distance and posture alarms were triggered 807,355 and 509,199 times, respectively. In the study, 70.65% of the participants used the tablet under an illuminance of <300 lux during the day and 61.11% under an illuminance of <100 lux at night. The ambient light of 85.19% of the participants exceeded 4,000 K color temperature during night. Most incorrect viewing habits (65.49% in viewing distance; 86.48% in viewing posture) were rectified swiftly following AI notifications (all p < 0.05). Conclusion Young children are increasingly using digital screens, with school-age children and adolescents showing longer screen time than preschoolers. The study highlighted inadequate lighting conditions during screen use. AI alerts proved effective in prompting users to correct their screen-related behavior promptly.
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Affiliation(s)
- Jifang Wang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
- Department of Nursing, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Yang Shen
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Jing Zhao
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Xiaoying Wang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Zhi Chen
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Tian Han
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Yangyi Huang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Yuliang Wang
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Wuxiao Zhao
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
- Center for Optometry and Visual Science, Guangxi Academy of Medical Sciences, Nanning, China
| | - Wen Wen
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Xingtao Zhou
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
| | - Ye Xu
- Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
- NHC Key Laboratory of Myopia (Fudan University), Key Laboratory of Myopia, Chinese Academy of Medical Sciences, Shanghai, China
- Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China
- Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care, Shanghai, China
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Huang SY, Su HR, Hu YS, Lee CH, Tsai MS, Yeh SM, Chen YY, Tsai TH. Immediate Effects of Vergence Exercises Using Automatic Dual Rotational Risley Prisms on Accommodative Lag and Facility. Ophthalmol Ther 2023; 12:3361-3372. [PMID: 37853298 PMCID: PMC10640441 DOI: 10.1007/s40123-023-00832-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 10/03/2023] [Indexed: 10/20/2023] Open
Abstract
INTRODUCTION This study evaluated novel automatic dual rotational Risley prisms (ADRRPs) as a vergence exercise tool for patients with myopia to improve accommodative lag and accommodative facility. METHODS Participants with myopia aged 20-24 years were recruited. After vergence exercises with prisms (treatment group) or plano lenses (control group) using ADRRPs for 10 min, measurements were taken using an open-field autorefractor (Grand Seiko WAM-5500) at viewing distances of 0.4 m and 6.0 m. We measured accommodative facility using a ± 2.00 D accommodative flipper. RESULTS A total of 56 participants (treatment group, 39; control group, 17) performed vergence exercises using ADRRPs. Participants in the treatment group showed improvements in accommodative lag at a 0.4 m viewing distance, with measurements of 0.57 D (right eye; OD) and 0.53 D (left eye; OS) and 0.21 D (OD) and 0.27 D (OS) before and after the exercises, respectively (p < 0.001). Over-refractions using an open-field autorefractor with spherical equivalent contact lenses at a 6.0 m viewing distance were - 0.01 ± 0.30 D (OD) and 0.03 ± 0.34 D (OS) and 0.15 ± 0.32 D (OD) and 0.19 ± 0.28 D (OS) before and after the exercises, respectively (difference + 0.16 D; p < 0.001). Accommodative facility values before and after exercises were 14.88 ± 3.36 and 15.59 ± 3.60 cpm, respectively (p < 0.01). No significant differences in accommodative lag, relaxation, and accommodative facility before and after exercise were observed in the control group. CONCLUSIONS Using ADRRPs in vergence exercises can improve accommodative lag, accommodative facility, and accommodative relaxation in adults with myopia. Further research to evaluate persistent and long-term effects is needed.
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Affiliation(s)
- Shuan-Yu Huang
- Department of Optometry, Central Taiwan University of Science and Technology, Taichung, 402, Taiwan
| | - Hui-Rong Su
- Ph.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung, 407, Taiwan
| | - Yun-Shao Hu
- Department of Optometry, Chung Shan Medical University, Taichung, 402, Taiwan
| | - Chi-Hung Lee
- Department of Electrical Engineering, Feng Chia University, Taichung, 407, Taiwan
| | - Ming-Shan Tsai
- Department of Electrophysics, National Chiayi University, Chiayi, 600, Taiwan
| | - Shang-Min Yeh
- Department of Optometry, Da-Yeh University, Changhua, 515, Taiwan
| | - Ya-Yu Chen
- Department of Optometry, Da-Yeh University, Changhua, 515, Taiwan
| | - Tzu-Hsun Tsai
- Department of Ophthalmology, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan.
- Department of Ophthalmology, National Taiwan University Hospital, Taipei City, 100225, Taiwan.
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