Literature DB >> 33685568

The Association of Socioeconomic Status with the Burden of Cataract-related Blindness and the Effect of Ultraviolet Radiation Exposure: An Ecological Study.

Yan Deng1, Dan Yang1, Jia Ming Yu2, Jing Xian Xu2, Hui Hua1, Ren Tong Chen1, Nan Wang1, Feng Rong Ou3, Ru Xi Liu4, Bo Wu5, Yang Liu1.   

Abstract

OBJECTIVE: To assess the association of socioeconomic status with the burden of cataract blindness in terms of year lived with disability (YLD) rates and to determine whether ultraviolet radiation (UVR) levels modify the effect of socioeconomic status on this health burden.
METHODS: National and subnational age-standardized YLD rates associated with cataract-related blindness were derived from the Global Burden of Disease (GBD) study 2017. The human development index (HDI) from the Human Development Report was used as a measure of socioeconomic status. Estimated ground-level UVR exposure was obtained from the Ozone Monitoring Instrument (OMI) dataset of the National Aeronautics and Space Administration (NASA).
RESULTS: Across 185 countries, socioeconomic status was inversely associated with the burden of cataract blindness. Countries with a very high HDI had an 84% lower age-standardized YLD rate [95% confidence interval ( CI): 60%-93%, P < 0.001] than countries with a low HDI; for high-HDI countries, the proportion was 76% (95% CI: 53%-88%, P < 0.001), and for medium-HDI countries, the proportion was 48% (95% CI: 15%-68%, P = 0.010; P for trend < 0.001). The interaction analysis showed that UVR exposure played an interactive role in the association between socioeconomic status and cataract blindness burden ( P value for interaction = 0.047).
CONCLUSION: Long-term high-UVR exposure amplifies the association of poor socioeconomic status with the burden of cataract-related blindness. The findings emphasize the need for strengthening UVR exposure protection interventions in developing countries with high-UVR exposure.
Copyright © 2021 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

Entities:  

Keywords:  Blindness; Socioeconomic status; Cataract; Global burden of disease; Ultraviolet rays

Mesh:

Year:  2021        PMID: 33685568     DOI: 10.3967/bes2021.015

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


  1 in total

Review 1.  Application of artificial intelligence in cataract management: current and future directions.

Authors:  Laura Gutierrez; Jane Sujuan Lim; Li Lian Foo; Wei Yan Ng; Michelle Yip; Gilbert Yong San Lim; Melissa Hsing Yi Wong; Allan Fong; Mohamad Rosman; Jodhbir Singth Mehta; Haotian Lin; Darren Shu Jeng Ting; Daniel Shu Wei Ting
Journal:  Eye Vis (Lond)       Date:  2022-01-07
  1 in total

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