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Article

Population-based Assessment of Vision Impairment in the Elderly Population in Telangana State in India – Policy Implications for Eye Health Programmes

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Pages 144-151 | Received 23 Mar 2020, Accepted 10 Jul 2020, Published online: 04 Aug 2020
 

ABSTRACT

Purpose

To investigate the prevalence, causes and risk factors for vision impairment (VI) among the elderly population in Telangana State, India.

Methods

A population-based cross-sectional study were conducted in four districts. All participants had eye examinations including visual acuity assessment for distance and near, anterior segment examination and non-mydriatic fundus imaging by trained personnel. VI was defined as presenting visual acuity worse than 6/18 in the better eye. Individuals aged ≥60 years were considered as elderly.

Results

In total, 11,238/12,150 (92.5%) individuals aged ≥40 years were examined. Of this, the dataset of 3,640 individuals (32.4%) elderly participants was used for analysis. Among the 3,640 participants, 53.1% were women and 78.1% had no education. The mean age of the participants was 67.8 years (standard deviation: 7 years; range: 60 to 102 years). The age and gender-adjusted prevalence of VI was 32.1% (95% CI: 29.5–34.8). On multivariable analysis, the odds of VI was significantly higher in older age groups, and among those with no education. Gender and district of residence were not associated with the prevalence of VI. Cataract (54.8%) was the leading cause of VI followed by uncorrected refractive errors (37.6%).

Conclusions and Relevance

VI was common and largely avoidable in the elderly population in Telangana state in India. Elderly centric eye care including screening for vision loss, provision of cataract surgery and spectacles can be used as strategies to address VI in the elderly.

Acknowledgments

The authors thank Guvvala Venkatesh, Buhyavarapu Sanjay Bhargav, Yellimalla Srikanth, Kolakaluri Praveen Kumar, Seelam Siva Nagaraju, Shekhar Konegari (vision technicians) for the assistance provided in data collection. The authors also thank U Vijay Kumar, D Sandeep Rao and Devichander Chowdry for their logistic support for the study, Ratnakar Yellapragada for support in data management, Prof Jill Keeffe for her scientific inputs on earlier versions of this manuscript, and Ms. Neha Hassija for language inputs on earlier versions of our manuscript. The authors thank the volunteers for their participation in the study.

Competing interests

The authors report no conflicts of interest and have no proprietary interest in any of the materials mentioned in this article

Additional information

Funding

This study was funded by Hyderabad Eye Research Foundation (HERF) (India), Lions Clubs International Foundation (USA), SightFirst Research grant, Christoffel Blindenmission (CBM) (Germany)

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