Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/52359
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Type: Journal article
Title: Ocular biometry and determinants of refractive error in rural Myanmar: the Meiktila Eye Study
Author: Warrier, S.
Wu, H.
Newland, H.
Muecke, J.
Selva-Nayagam, D.
Aung, T.
Casson, R.
Citation: British Journal of Ophthalmology, 2008; 92(12):1591-1594
Publisher: British Med Journal Publ Group
Issue Date: 2008
ISSN: 0007-1161
1468-2079
Statement of
Responsibility: 
S. Warrier, H. M. Wu, H. S. Newland, J. Muecke, D. Selva, T. Aung, R. J. Casson
Abstract: <h4>Objective</h4>To describe the ocular biometry and determinants of refractive error in an adult population in Myanmar.<h4>Methods</h4>A cross-sectional, population-based survey of the inhabitants 40 years of age and over from villages in the Meiktila District was performed; 2481 eligible participants were identified, and 2076 participated in the study. Biometric components including axial length (AL), anterior chamber depth (ACD), vitreous chamber depth (VCD), lens thickness (LT) and corneal curvature (CC) were measured. Lens opalescence was measured using the Lens Opacity Grading System III. Non-cycloplegic refraction was measured with an autorefractor.<h4>Results</h4>Complete biometric, refractive and lenticular data were available on 1498 participants. Men had longer ALs, ACDs, VCDs and steeper CCs than women. There was an increase in LT, nuclear opalescence (NO) and myopic shift with increasing age, with no significant change in AL with age. In the 40-59 year age group, VCD was a significant predictor of refractive error, but LT (p<0.001) and NO (p<0.001) were stronger predictors. In the 60+ age group, NO (p<0.001) was also the dominant predictor of refractive error.<h4>Conclusion</h4>This Burmese population, particularly women, has a relatively short AL and ACD. NO is the strongest predictor of refractive error across all age groups in this population.
Keywords: Eye
Humans
Cataract
Refractive Errors
Analysis of Variance
Linear Models
Cross-Sectional Studies
Age Factors
Sex Factors
Biometry
Age Distribution
Adult
Aged
Middle Aged
Rural Health
Myanmar
Female
Male
DOI: 10.1136/bjo.2008.144477
Published version: http://dx.doi.org/10.1136/bjo.2008.144477
Appears in Collections:Aurora harvest
Opthalmology & Visual Sciences publications

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