TY - JOUR
T1 - Exposure to ambient air pollution and visual impairment in children
T2 - A nationwide cross-sectional study in China
AU - Yang, Bo-Yi
AU - Guo, Yuming
AU - Zou, Zhiyong
AU - Gui, Zhaohuan
AU - Bao, Wen-Wen
AU - Hu, Li-Wen
AU - Chen, Gongbo
AU - Jing, Jin
AU - Ma, Jun
AU - Li, Shanshan
AU - Ma, Yinghua
AU - Chen, Ya-Jun
AU - Dong, Guang Hui
PY - 2021/4/5
Y1 - 2021/4/5
N2 - Evidence concerning exposure to air pollution and visual impairment is scarce. We evaluated the associations of ambient air pollution with visual impairment and visual acuity levels in Chinese schoolchildren. We recruited 61,995 children from 7 provinces/municipalities across China. Concentrations of air pollutants (i.e., particulate matter with an aerodynamic diameter of ≤ 1.0 µm [PM1], ≤ 2.5 µm [PM2.5], and 10 µm [PM10] as well as nitrogen dioxides [NO2]) were measured using machine learning methods. Visual acuity levels were measured using standard protocols. We used SAS PROC SURVEYLOGISTIC to assess the association between air pollution and visual impairment. An interquartile range increase in PM1, PM2.5, PM10, and NO2 was associated with a 1.133- (95% CI, 1.035-1.240), 1.267- (95% CI, 1.082-1.484), 1.142- (95% CI, 1.019-1.281), and 1.276-fold (95% CI, 1.173-1.388) increased odds of visual impairment, and the associations were stronger in children being boys, older, living in rural areas, and born to parents who had a lower educational level or smoked, compared to their counterparts. These results suggest that exposure to air pollution were positively associated with the odds of visual impairment, and the association may be modified by children's age, sex, and residential area as well as parental education level and cigarette smoking.
AB - Evidence concerning exposure to air pollution and visual impairment is scarce. We evaluated the associations of ambient air pollution with visual impairment and visual acuity levels in Chinese schoolchildren. We recruited 61,995 children from 7 provinces/municipalities across China. Concentrations of air pollutants (i.e., particulate matter with an aerodynamic diameter of ≤ 1.0 µm [PM1], ≤ 2.5 µm [PM2.5], and 10 µm [PM10] as well as nitrogen dioxides [NO2]) were measured using machine learning methods. Visual acuity levels were measured using standard protocols. We used SAS PROC SURVEYLOGISTIC to assess the association between air pollution and visual impairment. An interquartile range increase in PM1, PM2.5, PM10, and NO2 was associated with a 1.133- (95% CI, 1.035-1.240), 1.267- (95% CI, 1.082-1.484), 1.142- (95% CI, 1.019-1.281), and 1.276-fold (95% CI, 1.173-1.388) increased odds of visual impairment, and the associations were stronger in children being boys, older, living in rural areas, and born to parents who had a lower educational level or smoked, compared to their counterparts. These results suggest that exposure to air pollution were positively associated with the odds of visual impairment, and the association may be modified by children's age, sex, and residential area as well as parental education level and cigarette smoking.
KW - Children
KW - Cross-sectional study
KW - Nitrogen dioxide
KW - Particulate matter
KW - Visual acuity
UR - http://www.scopus.com/inward/record.url?scp=85098602711&partnerID=8YFLogxK
U2 - 10.1016/j.jhazmat.2020.124750
DO - 10.1016/j.jhazmat.2020.124750
M3 - Article
C2 - 33341569
AN - SCOPUS:85098602711
VL - 407
JO - Journal of Hazardous Materials
JF - Journal of Hazardous Materials
SN - 0304-3894
M1 - 124750
ER -