| Literature DB >> 35082484 |
Amar Pujari1, Sujeeth Modaboyina1, Divya Agarwal1, Gunjan Saluja1, Rajeswari Thangavel1, Vaishali Rakheja1, Rohit Saxena1, Namrata Sharma1, Jeewan S Titiyal1, Atul Kumar1.
Abstract
India is a culturally and geographically diverse nation. Its vast demographic nature does not allow a single definition for any of the given medical conditions in its territory. One important clinical condition which has created an uproar in the rest of the world is myopia. Its cause, prevalence, etiopathogenesis and other factors are being explored constantly; however, data with respect to Indian subcontinent are genuinely missing. Hence, in this review, we enumerate the country's myopia journey from last 4 decades. The epidemiology, genetics, ocular/systemic association, quality of life, imaging, and management in myopia with necessary future directives are discussed to augment the overall management in future.Entities:
Keywords: India; atropine therapy in myopia; genetics and myopia; imaging in myopia; management of myopia; myopia; myopia in India; retinopathy of prematurity and myopia
Year: 2022 PMID: 35082484 PMCID: PMC8786354 DOI: 10.2147/OPTH.S349393
Source DB: PubMed Journal: Clin Ophthalmol ISSN: 1177-5467
The Details of Prevalence of Myopia in India Along Various Zones
| Zonal Division | Reference | Place | Type of Study | Age Group (Years) | Prevalence |
|---|---|---|---|---|---|
| South Zone | Kalikivayi | Hyderabad | School | 3–18 | 8.6% |
| Dandona | Hyderabad | Population | – | 4.44% (<15 years) | |
| Khan | Hyderabad | Hospital | 0–60 | 9% (Degenerative myopia) | |
| Dandona | Hyderabad, West Godavari, Adilabad, Mahbubnagar | Population | 0–15 | 3.6% | |
| Dandona | Mahbubnagar | Population | 7–15 | 4.1% | |
| Raju | Thiruvallur and Kancheepuram | Population | >39 | 26.99% | |
| Prema | Thiruvallur and Kancheepuram | Population | >39 | 31% (Rural) | |
| Krishnaiah | Hyderabad, West Godavari, Adilabad, Mahbubnagar | Population | >39 | 36.5% | |
| Uzma | Hyderabad | School | 7–15 | 7.48% | |
| Bansal | Kolar | School | 6–16 | 11.5% | |
| Joseph | Pondicherry | Population | >39 | 35.6% | |
| Prabhu | Udupi | School | 5–15 | 4% | |
| Central | Chandra | Allahabad | School | 8–16 | 16.43% |
| Haq | Aligarh | Population | >19 | 11.5% | |
| Agrawal | Raipur | School | 5–15 | 3.21% | |
| East | |||||
| Datta | Kolkata | School | 5–13 | 0.89% | |
| Das | Kolkata | School | 5–10 | 14.02% | |
| Bagchi | West Bengal | School | 5–15 | 2.85% | |
| Ghosh | Kolkata | School | 6–14 | 11.23% | |
| Rao | Bhubaneswar | Hospital | 6–17 | 24.8% | |
| Warkad | Bhubaneswar | School | 6–17 | 0.63% | |
| Panda | Rayagada | School | 5–15 | 4.9% | |
| West | Padhye | Pune | School | 5–15 | 2.15% |
| Basu | Surat | School | 7–15 | 13.9% | |
| Nangia | Nagpur | Population | >29 | 17% | |
| Jonas | Nagpur | Population | >30 | 15.3% | |
| North zone | Murthy | Delhi | Population | 5–15 | 7.4% |
| Ahmed | Srinagar | School | 6–22 | 4.74% | |
| Jha | Leh | School | 3–15 | 4.1% | |
| Saxena | Delhi | School | 5–15 | 13.12% | |
| Shukla | Delhi | School | 9–12 | 2.5% | |
| Singh | Gurugram | School | 5–15 | 21.1% | |
| North East zone | Natung | Shillong | Hospital | 5–88 | 27.4% |
The Details of Imaging Studies on Myopic Eyes in India
| S.No. | Reference | Structure Analyzed | Age Group (Years) | Instrument | Key Findings | Conclusion |
|---|---|---|---|---|---|---|
| 1 | Matalia J et al 1002018 | Retinal and choroidal thickness and volume along with choroidal vessel volume. | 5–17 | SD-OCT (Optovue, Inc., CA, USA) | 1.The foveal thickness, choroidal volume and the choroidal vessel volume had a significant increment with higher degrees of myopia. | In paediatric population, the myopia has higher effects on retino-choroidal changes than the age. |
| 2 | Bhayana 101AA et al 2019 | Choroidal layer. | 19–60 | SS-OCT (DRI-OCT Triton plus, TOPCON, Tokyo, Japan) | 1.Subfoveal choroidal thickness had significant positive correlation with refractive error and negative correlation with axial length. | Normative data of choroidal and retinal thickness were estimated using SS-OCT. |
| 3 | Dada T et al 94 2013 | Retinal nerve fiber layer. | 18–40 | GDxVCC (Carl Zeiss Meditec, Dublin, CA) | 1.While assessing and monitoring glaucomatous damage in moderate to high myopes on GDxVCC, peripapillary chorioretinal atrophy and scleral birefringence can contribute to falsely higher RNFL values in high myopic eyes. | Myopia in glaucomatous eyes need careful evaluation. |
| 4 | Singh D et al 93 2017 | Retinal nerve fiber layer. | 20–34 | Cirrus HD-OCT (Carl Zeiss Meditec, Inc., Dublin, CA, USA) | 1.Emmetropic eye (91.26 μ) had higher RNFL thickness compared to moderate (83.76 μ) and high myopic eyes (78.68 μ). | High myopes have inherently thinner RNFL, hence, glaucoma in these eyes need careful and comprehensive approach. |
| 5 | Malakar M et al 95 2015 | Retinal nerve fiber layer. | 11–40 | Fourier domain OCT | 1.Mean RNFL thickness was lower in high myopes (87.89 μ) as compared to the control group (111.64 μ). | Myopic eyes need special consideration while evaluating for glaucoma. |
| 6 | Dhakal R et al 922020 | Anterior scleral thickness. | 15–35 | SS-OCT (Topcon, Tokyo, Japan) | 1.The mean anterior sclera thickness was thickest in the inferior region (605.9 µm) and thinnest in the superior region (475.3 µm). | Anterior scleral thickness in the inferior region can act as a marker for myopia progression. |
| 7 | Venkatesh R et al 1022020 | Choroidal layer | 18–85 | SD-OCT (Spectralis) | 1.Intra-choroidal cavitation was seen in more than half of high myopic eyes. | The macular or peripapillary intra-choroidal cavitation should be screened in high myopic eyes. |
| 8 | Samuel NE et al 972015 | Foveal and macular thickness | 20–40 | OPTOS SPECTRAL OCT/SLO | 1.Low and moderate myopes had thinner fovea compared to high myopes. | Early detection of macular changes can be evaluated by OCT and used as a screening tool in young myopes. |