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Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study

OBJECTIVE: To estimate the burden of potential productivity losses due to uncorrected and under-corrected presbyopia in LMICs among the working-age population in both the cross-sectional and longitudinal manner. METHODS: We extracted data for the prevalence of presbyopia from the Global Burden of Di...

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Autores principales: Ma, Qian, Chen, Min, Li, Dehua, Zhou, Ruiqing, Du, Yali, Yin, Shengjie, Chen, Binyao, Wang, Hongxi, Jiang, Jiao, Guan, Zhiqiang, Qiu, Kunliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592832/
https://www.ncbi.nlm.nih.gov/pubmed/36304252
http://dx.doi.org/10.3389/fpubh.2022.983423
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author Ma, Qian
Chen, Min
Li, Dehua
Zhou, Ruiqing
Du, Yali
Yin, Shengjie
Chen, Binyao
Wang, Hongxi
Jiang, Jiao
Guan, Zhiqiang
Qiu, Kunliang
author_facet Ma, Qian
Chen, Min
Li, Dehua
Zhou, Ruiqing
Du, Yali
Yin, Shengjie
Chen, Binyao
Wang, Hongxi
Jiang, Jiao
Guan, Zhiqiang
Qiu, Kunliang
author_sort Ma, Qian
collection PubMed
description OBJECTIVE: To estimate the burden of potential productivity losses due to uncorrected and under-corrected presbyopia in LMICs among the working-age population in both the cross-sectional and longitudinal manner. METHODS: We extracted data for the prevalence of presbyopia from the Global Burden of Diseases (GBD), Injuries, and Risk Factors Study 2019. Data for the gross domestic product (GDP) per capita were extracted from the World Bank database and Central Intelligence Agency's World Factbook. We introduced life table models to construct age cohorts (in 5-year age groups) of the working-age population (aged from 40 to 64 years old) in LMICs, with simulated follow-up until 65 years old in people with and without uncorrected presbyopia. The differences in productivity-adjusted life years (PALYs) lived and productivity between these two cohorts were calculated. The potential productivity loss was estimated based on GDP per capita. The WHO standard 3% annual discount rate was applied to all years of life and PALYs lived. RESULTS: In 2019, there were 238.40 million (95% confidence interval [CI]: 150.92–346.78 million) uncorrected and under-corrected presbyopia cases in LMICs, resulting in 54.13 billion (current US dollars) (95% confidence interval [CI]: 34.34–79.02 billion) potential productivity losses. With simulated follow-up until retirement, those with uncorrected and under-corrected presbyopia were predicted to experience an additional loss of 155 million PALYs (an average loss of 0.7 PALYs per case), which was equivalent to a total loss of US$ 315 billion (an average loss of US$ 1453.72 per person). CONCLUSIONS: Our findings highlight the considerable productivity losses due to uncorrected and under-corrected presbyopia in LMICs, especially in a longitudinal manner. There is a great need for the development of enabling eye care policies and programs to create access to eye care services, and more healthcare investment in the correction of presbyopia in the working-age population in LMICs. This study could provide evidences for some potential health-related strategies for socio-economic development.
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spelling pubmed-95928322022-10-26 Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study Ma, Qian Chen, Min Li, Dehua Zhou, Ruiqing Du, Yali Yin, Shengjie Chen, Binyao Wang, Hongxi Jiang, Jiao Guan, Zhiqiang Qiu, Kunliang Front Public Health Public Health OBJECTIVE: To estimate the burden of potential productivity losses due to uncorrected and under-corrected presbyopia in LMICs among the working-age population in both the cross-sectional and longitudinal manner. METHODS: We extracted data for the prevalence of presbyopia from the Global Burden of Diseases (GBD), Injuries, and Risk Factors Study 2019. Data for the gross domestic product (GDP) per capita were extracted from the World Bank database and Central Intelligence Agency's World Factbook. We introduced life table models to construct age cohorts (in 5-year age groups) of the working-age population (aged from 40 to 64 years old) in LMICs, with simulated follow-up until 65 years old in people with and without uncorrected presbyopia. The differences in productivity-adjusted life years (PALYs) lived and productivity between these two cohorts were calculated. The potential productivity loss was estimated based on GDP per capita. The WHO standard 3% annual discount rate was applied to all years of life and PALYs lived. RESULTS: In 2019, there were 238.40 million (95% confidence interval [CI]: 150.92–346.78 million) uncorrected and under-corrected presbyopia cases in LMICs, resulting in 54.13 billion (current US dollars) (95% confidence interval [CI]: 34.34–79.02 billion) potential productivity losses. With simulated follow-up until retirement, those with uncorrected and under-corrected presbyopia were predicted to experience an additional loss of 155 million PALYs (an average loss of 0.7 PALYs per case), which was equivalent to a total loss of US$ 315 billion (an average loss of US$ 1453.72 per person). CONCLUSIONS: Our findings highlight the considerable productivity losses due to uncorrected and under-corrected presbyopia in LMICs, especially in a longitudinal manner. There is a great need for the development of enabling eye care policies and programs to create access to eye care services, and more healthcare investment in the correction of presbyopia in the working-age population in LMICs. This study could provide evidences for some potential health-related strategies for socio-economic development. Frontiers Media S.A. 2022-10-11 /pmc/articles/PMC9592832/ /pubmed/36304252 http://dx.doi.org/10.3389/fpubh.2022.983423 Text en Copyright © 2022 Ma, Chen, Li, Zhou, Du, Yin, Chen, Wang, Jiang, Guan and Qiu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Ma, Qian
Chen, Min
Li, Dehua
Zhou, Ruiqing
Du, Yali
Yin, Shengjie
Chen, Binyao
Wang, Hongxi
Jiang, Jiao
Guan, Zhiqiang
Qiu, Kunliang
Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study
title Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study
title_full Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study
title_fullStr Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study
title_full_unstemmed Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study
title_short Potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: A life table modeling study
title_sort potential productivity loss from uncorrected and under-corrected presbyopia in low- and middle-income countries: a life table modeling study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592832/
https://www.ncbi.nlm.nih.gov/pubmed/36304252
http://dx.doi.org/10.3389/fpubh.2022.983423
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