Greenness Surrounding Schools and Visual Impairment in Chinese Children and Adolescents

Evidence concerning the effects of greenness on childhood visual impairment is scarce. We aimed to assess whether greenness surrounding schools was associated with visual impairment prevalence and visual acuity levels in Chinese schoolchildren and whether the associations might be explained by reduc...

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Veröffentlicht in:Environmental health perspectives 2021-10, Vol.129 (10), p.107006
Hauptverfasser: Yang, Bo-Yi, Li, Shanshan, Zou, Zhiyong, Markevych, Iana, Heinrich, Joachim, Bloom, Michael S, Luo, Ya-Na, Huang, Wen-Zhong, Xiao, Xiang, Gui, Zhaohuan, Bao, Wen-Wen, Jing, Jin, Ma, Jun, Ma, Yinghua, Chen, Yajun, Dong, Guang-Hui
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container_end_page
container_issue 10
container_start_page 107006
container_title Environmental health perspectives
container_volume 129
creator Yang, Bo-Yi
Li, Shanshan
Zou, Zhiyong
Markevych, Iana
Heinrich, Joachim
Bloom, Michael S
Luo, Ya-Na
Huang, Wen-Zhong
Xiao, Xiang
Gui, Zhaohuan
Bao, Wen-Wen
Jing, Jin
Ma, Jun
Ma, Yinghua
Chen, Yajun
Dong, Guang-Hui
description Evidence concerning the effects of greenness on childhood visual impairment is scarce. We aimed to assess whether greenness surrounding schools was associated with visual impairment prevalence and visual acuity levels in Chinese schoolchildren and whether the associations might be explained by reduced air pollution. In September 2013, we recruited 61,995 children and adolescents 6-18 years of age from 94 schools in seven provinces/municipalities in China. Greenness exposure was assessed using the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI) from July to August 2013. Visual impairment was defined as at least one visual acuity level (dimensionless) lower than 4.9 (Snellen 5/6 equivalent). Three-year annual averages of particulate matter (PM) with an aerodynamic diameter of ( ) and nitrogen dioxide ( ) at each school were assessed using machine learning methods. We used generalized linear mixed models to estimate the associations between greenness and prevalent visual impairment and visual acuity levels and used mediation analyses to explore the potential mediating role of air pollution. In the adjusted model, an interquartile range increase in was associated with lower odds of prevalent visual impairment [ ; 95% confidence interval (CI): 0.93, 0.97]. The same increase in was also associated with (95% CI: 0.008, 0.015) and (95% CI: 0.007, 0.015) increases in visual acuity levels for left- and right-eye, respectively. Our results also suggested that and significantly mediated the association between and visual impairment. Similar effect estimates were observed for , and our estimates were generally robust in several sensitivity analyses. These findings suggest higher greenness surrounding schools might reduce the risk of visual impairment, possibly owing in part to lower and in vegetated areas. Further longitudinal studies with more precise greenness assessment are warranted to confirm these findings. https://doi.org/10.1289/EHP8429.
doi_str_mv 10.1289/EHP8429
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We aimed to assess whether greenness surrounding schools was associated with visual impairment prevalence and visual acuity levels in Chinese schoolchildren and whether the associations might be explained by reduced air pollution. In September 2013, we recruited 61,995 children and adolescents 6-18 years of age from 94 schools in seven provinces/municipalities in China. Greenness exposure was assessed using the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI) from July to August 2013. Visual impairment was defined as at least one visual acuity level (dimensionless) lower than 4.9 (Snellen 5/6 equivalent). Three-year annual averages of particulate matter (PM) with an aerodynamic diameter of ( ) and nitrogen dioxide ( ) at each school were assessed using machine learning methods. We used generalized linear mixed models to estimate the associations between greenness and prevalent visual impairment and visual acuity levels and used mediation analyses to explore the potential mediating role of air pollution. In the adjusted model, an interquartile range increase in was associated with lower odds of prevalent visual impairment [ ; 95% confidence interval (CI): 0.93, 0.97]. The same increase in was also associated with (95% CI: 0.008, 0.015) and (95% CI: 0.007, 0.015) increases in visual acuity levels for left- and right-eye, respectively. Our results also suggested that and significantly mediated the association between and visual impairment. Similar effect estimates were observed for , and our estimates were generally robust in several sensitivity analyses. These findings suggest higher greenness surrounding schools might reduce the risk of visual impairment, possibly owing in part to lower and in vegetated areas. 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We aimed to assess whether greenness surrounding schools was associated with visual impairment prevalence and visual acuity levels in Chinese schoolchildren and whether the associations might be explained by reduced air pollution. In September 2013, we recruited 61,995 children and adolescents 6-18 years of age from 94 schools in seven provinces/municipalities in China. Greenness exposure was assessed using the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI) from July to August 2013. Visual impairment was defined as at least one visual acuity level (dimensionless) lower than 4.9 (Snellen 5/6 equivalent). Three-year annual averages of particulate matter (PM) with an aerodynamic diameter of ( ) and nitrogen dioxide ( ) at each school were assessed using machine learning methods. 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Further longitudinal studies with more precise greenness assessment are warranted to confirm these findings. https://doi.org/10.1289/EHP8429.</description><subject>Acuity</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Air Pollution - analysis</subject><subject>Child</subject><subject>Children</subject><subject>Children &amp; youth</subject><subject>China - epidemiology</subject><subject>Confidence intervals</subject><subject>Contact lenses</subject><subject>Estimates</subject><subject>Guardians</subject><subject>Humans</subject><subject>Impairment</subject><subject>Learning algorithms</subject><subject>Longitudinal studies</subject><subject>Machine learning</subject><subject>Municipalities</subject><subject>Myopia</subject><subject>Nitrogen dioxide</subject><subject>Nitrogen Dioxide - analysis</subject><subject>Normalized difference vegetative index</subject><subject>Outdoor air quality</subject><subject>Parents &amp; 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Li, Shanshan ; Zou, Zhiyong ; Markevych, Iana ; Heinrich, Joachim ; Bloom, Michael S ; Luo, Ya-Na ; Huang, Wen-Zhong ; Xiao, Xiang ; Gui, Zhaohuan ; Bao, Wen-Wen ; Jing, Jin ; Ma, Jun ; Ma, Yinghua ; Chen, Yajun ; Dong, Guang-Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-6530267cbd1380885d1599dab474545b5991a86420f02812ea1c5fc6758b654b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acuity</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Air Pollution - analysis</topic><topic>Child</topic><topic>Children</topic><topic>Children &amp; youth</topic><topic>China - epidemiology</topic><topic>Confidence intervals</topic><topic>Contact lenses</topic><topic>Estimates</topic><topic>Guardians</topic><topic>Humans</topic><topic>Impairment</topic><topic>Learning algorithms</topic><topic>Longitudinal studies</topic><topic>Machine learning</topic><topic>Municipalities</topic><topic>Myopia</topic><topic>Nitrogen dioxide</topic><topic>Nitrogen Dioxide - analysis</topic><topic>Normalized difference vegetative index</topic><topic>Outdoor air quality</topic><topic>Parents &amp; 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We aimed to assess whether greenness surrounding schools was associated with visual impairment prevalence and visual acuity levels in Chinese schoolchildren and whether the associations might be explained by reduced air pollution. In September 2013, we recruited 61,995 children and adolescents 6-18 years of age from 94 schools in seven provinces/municipalities in China. Greenness exposure was assessed using the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI) from July to August 2013. Visual impairment was defined as at least one visual acuity level (dimensionless) lower than 4.9 (Snellen 5/6 equivalent). Three-year annual averages of particulate matter (PM) with an aerodynamic diameter of ( ) and nitrogen dioxide ( ) at each school were assessed using machine learning methods. We used generalized linear mixed models to estimate the associations between greenness and prevalent visual impairment and visual acuity levels and used mediation analyses to explore the potential mediating role of air pollution. In the adjusted model, an interquartile range increase in was associated with lower odds of prevalent visual impairment [ ; 95% confidence interval (CI): 0.93, 0.97]. The same increase in was also associated with (95% CI: 0.008, 0.015) and (95% CI: 0.007, 0.015) increases in visual acuity levels for left- and right-eye, respectively. Our results also suggested that and significantly mediated the association between and visual impairment. Similar effect estimates were observed for , and our estimates were generally robust in several sensitivity analyses. These findings suggest higher greenness surrounding schools might reduce the risk of visual impairment, possibly owing in part to lower and in vegetated areas. Further longitudinal studies with more precise greenness assessment are warranted to confirm these findings. https://doi.org/10.1289/EHP8429.</abstract><cop>United States</cop><pub>National Institute of Environmental Health Sciences</pub><pmid>34704791</pmid><doi>10.1289/EHP8429</doi><oa>free_for_read</oa></addata></record>
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subjects Acuity
Adolescent
Adolescents
Air Pollutants - analysis
Air pollution
Air Pollution - analysis
Child
Children
Children & youth
China - epidemiology
Confidence intervals
Contact lenses
Estimates
Guardians
Humans
Impairment
Learning algorithms
Longitudinal studies
Machine learning
Municipalities
Myopia
Nitrogen dioxide
Nitrogen Dioxide - analysis
Normalized difference vegetative index
Outdoor air quality
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Particulate matter
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Vision Disorders - epidemiology
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Visual observation
title Greenness Surrounding Schools and Visual Impairment in Chinese Children and Adolescents
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