Dataset Information

Prevalence and risk factors for myopia and other refractive errors in an adult population in southern India.

ABSTRACT:

Purpose

To investigate prevalence and risk factors for myopia, hyperopia and astigmatism in southern India.

Methods

Randomly sampled villages were enumerated to identify people aged ?40 years. Participants were interviewed for socioeconomic and lifestyle factors and attended a hospital-based ophthalmic examination including visual acuity measurement and objective and subjective measurement of refractive status. Myopia was defined as spherical equivalent (SE) worse than -0.75 dioptres (D), hyperopia as SE ?+1D and astigmatism as cylinder <-0.5.

Results

The age-standardised prevalences of myopia, hyperopia and astigmatism were 35.6% (95% CI: 34.7-36.6), 17.0% (95% CI: 16.3-17.8) and 32.6 (29.3-36.1), respectively. Of those with myopia (n = 1490), 70% had advanced cataract. Of these, 79% had presenting visual acuity (VA) less than 6/18 and after best correction, 44% of these improved to 6/12 or better and 27% remained with VA less than 6/18. In multivariable analyses (excluding patients with advanced cataract), increasing nuclear opacity score, current tobacco use, and increasing height were associated with higher odds of myopia. Higher levels of education were associated with increased odds of myopia in younger people and decreased odds in older people. Increasing time outdoors was associated with myopia only in older people. Increasing age and female gender were associated with hyperopia, and nuclear opacity score, increasing time outdoors, rural residence and current tobacco use with lower odds of hyperopia. After controlling for myopia, factors associated with higher odds of astigmatism were age, rural residence, and increasing nuclear opacity score and increasing education with lower odds.

Conclusions

In contrast to high-income settings and in agreement with studies from low-income settings, we found a rise in myopia with increasing age reflecting the high prevalence of advanced cataract.

SUBMITTER: Joseph S

PROVIDER: S-EPMC6001660 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Publications

Prevalence and risk factors for myopia and other refractive errors in an adult population in southern India.

Joseph Sanil S Krishnan Tiruvengada T Ravindran Ravilla D RD Maraini Giovanni G Camparini Monica M Chakravarthy Usha U Ravilla Thulasiraj D TD Hutchings Andrew A Fletcher Astrid E AE

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) 20180325 3

<h4>Purpose</h4>To investigate prevalence and risk factors for myopia, hyperopia and astigmatism in southern India.<h4>Methods</h4>Randomly sampled villages were enumerated to identify people aged ≥40 years. Participants were interviewed for socioeconomic and lifestyle factors and attended a hospital-based ophthalmic examination including visual acuity measurement and objective and subjective measurement of refractive status. Myopia was defined as spherical equivalent (SE) worse than -0.75 diopt ...[more]

PMID: 29574882

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Project description:Background and objective: Amblyopia is the leading cause of visual impairment in children and adults and is very common during childhood. The aim of this study was to identify the prevalence and the risk factors of amblyopia in a pediatric population with refractive errors from an Eastern European country. Materials and methods: A total of 1231 children aged 5?16 years, who had refractive errors and were examined from January to August 2017, were enrolled in a cross-sectional population-based study. Every child underwent a complete ophthalmological exam. Amblyopia was defined as a visual acuity (VA) of less than 0.63. The study respected the Multi-Ethnic Pediatric Eye Disease Study (MEPEDS) criteria for defining amblyopia (MEPEDS, 2008). Parents participated in a face-to-face interview. The questionnaire contained details about their family history of amblyopia; the child's maternal nutritional status in the preconception period; their history of maternal smoking or work in a toxic environment; the child's birth, and the child's history of congenital naso-lacrimal duct obstruction (CNLDO). Results: Amblyopia was identified in 2.8% of the participants. The ocular conditions hyperopia (p = 0.0079), astigmatism (p = 0.046), anisometropia (p < 0.001), esotropia (p < 0.001), exotropia (p = 0.0195), and CNLDO (p < 0.001), as well as a family history of amblyopia (p < 0.001), were associated with amblyopia. The non-ocular risk factors for amblyopia that were found in the study included low birth weight (p < 0.0009), prematurity (p < 0.001), an Apgar score under 7 (p = 0.0008), maternal age, maternal smoking history or work in toxic environment (p < 0.001), and maternal body mass index in the preconception period (p < 0.003). Conclusions: Some of the risk factors we identified for amblyopia are modifiable factors. This is an important observation as an adequate health education program can provide the relevant information for future mothers that will allow for a better management of the condition. We also wanted to highlight the need for amblyopia screening starting from the age of 3 years in case of significant parental refractive errors, strabismus, prematurity, and maternal risk factors.

Dataset Information

Prevalence and risk factors for myopia and other refractive errors in an adult population in southern India.

Purpose

Methods

Results

Conclusions

Publications

Prevalence and risk factors for myopia and other refractive errors in an adult population in southern India.

Similar Datasets

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