Ambient fine particulate matter and ozone higher than certain thresholds associated with myopia in the elderly aged 50 years and above

Zengliang Ruan, Zhengmin Qian, Yanfei Guo, Jin Zhou, Yin Yang, Bipin Kumar Acharya, Shu Guo, Yang Zheng, Lenise A. Cummings-Vaughn, Steven E. Rigdon, Michael G. Vaughn, Xinyu Chen, Fan Wu, Hualiang Lin

Research output: Contribution to journalArticle

Abstract

Although myopia has been largely ignored among the elderly population, there is an increased risk of myopia with advancing age. Ambient air pollution is one potential contributor to vision impairments, but few epidemiological studies have demonstrated such an association. This cross-sectional survey collected the information of 33,626 subjects aged ≥50 years in six developing countries during 2007–2010. Myopia was identified based on questions related to symptoms of myopia. The annual concentrations of fine particulate matter (PM2.5) and ozone (O3) were estimated with the satellite data and chemical transport model. We examined the associations between the two pollutants and myopia using mixed-effect Poisson regression models with robust variance estimation (sandwich estimation). We observed J-shaped associations between the two pollutants and myopia, and identified 12 and 54 μg/m3 as the threshold concentrations. The adjusted prevalence ratio was 1.12 (95% CI: 1.05, 1.21) and 1.26 (95% CI: 1.14, 1.38) for each standard deviation (SD) increase in PM2.5 and O3 concentrations above their threshold, respectively. In addition, the interaction analysis suggested a synergistic interaction of these two pollutants on myopia in the additive model, with a synergistic index of 1.81 (Bootstrapping 95% CI: 0.92, 4.94). Our results indicate that long-term exposures to PM2.5 and O3 might be important environmental risk factors of myopia in the elderly, and suggest that more efforts should be taken to reduce airborne PM2.5 and O3 levels to protect vision health.

Original languageEnglish (US)
Article number108581
JournalEnvironmental Research
Volume177
DOIs
StatePublished - Oct 1 2019

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Particulate Matter
Ozone
Myopia
particulate matter
ozone
pollutant
elderly population
bootstrapping
Air pollution
environmental risk
risk factor
Developing countries
ambient air
satellite data
atmospheric pollution
developing world
Health
Satellites
Chemical Models
Air Pollution

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Environmental Science(all)

Cite this

Ruan, Zengliang ; Qian, Zhengmin ; Guo, Yanfei ; Zhou, Jin ; Yang, Yin ; Acharya, Bipin Kumar ; Guo, Shu ; Zheng, Yang ; Cummings-Vaughn, Lenise A. ; Rigdon, Steven E. ; Vaughn, Michael G. ; Chen, Xinyu ; Wu, Fan ; Lin, Hualiang. / Ambient fine particulate matter and ozone higher than certain thresholds associated with myopia in the elderly aged 50 years and above. In: Environmental Research. 2019 ; Vol. 177.
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abstract = "Although myopia has been largely ignored among the elderly population, there is an increased risk of myopia with advancing age. Ambient air pollution is one potential contributor to vision impairments, but few epidemiological studies have demonstrated such an association. This cross-sectional survey collected the information of 33,626 subjects aged ≥50 years in six developing countries during 2007–2010. Myopia was identified based on questions related to symptoms of myopia. The annual concentrations of fine particulate matter (PM2.5) and ozone (O3) were estimated with the satellite data and chemical transport model. We examined the associations between the two pollutants and myopia using mixed-effect Poisson regression models with robust variance estimation (sandwich estimation). We observed J-shaped associations between the two pollutants and myopia, and identified 12 and 54 μg/m3 as the threshold concentrations. The adjusted prevalence ratio was 1.12 (95{\%} CI: 1.05, 1.21) and 1.26 (95{\%} CI: 1.14, 1.38) for each standard deviation (SD) increase in PM2.5 and O3 concentrations above their threshold, respectively. In addition, the interaction analysis suggested a synergistic interaction of these two pollutants on myopia in the additive model, with a synergistic index of 1.81 (Bootstrapping 95{\%} CI: 0.92, 4.94). Our results indicate that long-term exposures to PM2.5 and O3 might be important environmental risk factors of myopia in the elderly, and suggest that more efforts should be taken to reduce airborne PM2.5 and O3 levels to protect vision health.",
author = "Zengliang Ruan and Zhengmin Qian and Yanfei Guo and Jin Zhou and Yin Yang and Acharya, {Bipin Kumar} and Shu Guo and Yang Zheng and Cummings-Vaughn, {Lenise A.} and Rigdon, {Steven E.} and Vaughn, {Michael G.} and Xinyu Chen and Fan Wu and Hualiang Lin",
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Ruan, Z, Qian, Z, Guo, Y, Zhou, J, Yang, Y, Acharya, BK, Guo, S, Zheng, Y, Cummings-Vaughn, LA, Rigdon, SE, Vaughn, MG, Chen, X, Wu, F & Lin, H 2019, 'Ambient fine particulate matter and ozone higher than certain thresholds associated with myopia in the elderly aged 50 years and above', Environmental Research, vol. 177, 108581. https://doi.org/10.1016/j.envres.2019.108581

Ambient fine particulate matter and ozone higher than certain thresholds associated with myopia in the elderly aged 50 years and above. / Ruan, Zengliang; Qian, Zhengmin; Guo, Yanfei; Zhou, Jin; Yang, Yin; Acharya, Bipin Kumar; Guo, Shu; Zheng, Yang; Cummings-Vaughn, Lenise A.; Rigdon, Steven E.; Vaughn, Michael G.; Chen, Xinyu; Wu, Fan; Lin, Hualiang.

In: Environmental Research, Vol. 177, 108581, 01.10.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Ambient fine particulate matter and ozone higher than certain thresholds associated with myopia in the elderly aged 50 years and above

AU - Ruan, Zengliang

AU - Qian, Zhengmin

AU - Guo, Yanfei

AU - Zhou, Jin

AU - Yang, Yin

AU - Acharya, Bipin Kumar

AU - Guo, Shu

AU - Zheng, Yang

AU - Cummings-Vaughn, Lenise A.

AU - Rigdon, Steven E.

AU - Vaughn, Michael G.

AU - Chen, Xinyu

AU - Wu, Fan

AU - Lin, Hualiang

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Although myopia has been largely ignored among the elderly population, there is an increased risk of myopia with advancing age. Ambient air pollution is one potential contributor to vision impairments, but few epidemiological studies have demonstrated such an association. This cross-sectional survey collected the information of 33,626 subjects aged ≥50 years in six developing countries during 2007–2010. Myopia was identified based on questions related to symptoms of myopia. The annual concentrations of fine particulate matter (PM2.5) and ozone (O3) were estimated with the satellite data and chemical transport model. We examined the associations between the two pollutants and myopia using mixed-effect Poisson regression models with robust variance estimation (sandwich estimation). We observed J-shaped associations between the two pollutants and myopia, and identified 12 and 54 μg/m3 as the threshold concentrations. The adjusted prevalence ratio was 1.12 (95% CI: 1.05, 1.21) and 1.26 (95% CI: 1.14, 1.38) for each standard deviation (SD) increase in PM2.5 and O3 concentrations above their threshold, respectively. In addition, the interaction analysis suggested a synergistic interaction of these two pollutants on myopia in the additive model, with a synergistic index of 1.81 (Bootstrapping 95% CI: 0.92, 4.94). Our results indicate that long-term exposures to PM2.5 and O3 might be important environmental risk factors of myopia in the elderly, and suggest that more efforts should be taken to reduce airborne PM2.5 and O3 levels to protect vision health.

AB - Although myopia has been largely ignored among the elderly population, there is an increased risk of myopia with advancing age. Ambient air pollution is one potential contributor to vision impairments, but few epidemiological studies have demonstrated such an association. This cross-sectional survey collected the information of 33,626 subjects aged ≥50 years in six developing countries during 2007–2010. Myopia was identified based on questions related to symptoms of myopia. The annual concentrations of fine particulate matter (PM2.5) and ozone (O3) were estimated with the satellite data and chemical transport model. We examined the associations between the two pollutants and myopia using mixed-effect Poisson regression models with robust variance estimation (sandwich estimation). We observed J-shaped associations between the two pollutants and myopia, and identified 12 and 54 μg/m3 as the threshold concentrations. The adjusted prevalence ratio was 1.12 (95% CI: 1.05, 1.21) and 1.26 (95% CI: 1.14, 1.38) for each standard deviation (SD) increase in PM2.5 and O3 concentrations above their threshold, respectively. In addition, the interaction analysis suggested a synergistic interaction of these two pollutants on myopia in the additive model, with a synergistic index of 1.81 (Bootstrapping 95% CI: 0.92, 4.94). Our results indicate that long-term exposures to PM2.5 and O3 might be important environmental risk factors of myopia in the elderly, and suggest that more efforts should be taken to reduce airborne PM2.5 and O3 levels to protect vision health.

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