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Ma X, Zhang G, Liu X, Zhao M, Xi B. Associations of green and blue spaces with visual acuity in youths from Shandong Province, China: A large population-based study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2025; 292:117947. [PMID: 40009947 DOI: 10.1016/j.ecoenv.2025.117947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2024] [Revised: 02/08/2025] [Accepted: 02/20/2025] [Indexed: 02/28/2025]
Abstract
While growing evidence highlights the benefits of green and blue spaces for physical and mental health, their combined effects on youth visual acuity remain unclear. This study aimed to evaluate the associations of green and blue spaces with visual acuity in youths. We analyzed data from the 2023 Common Disease and Health Risk Factors Surveillance and Intervention Program among students in Shandong Province, China. Generalized linear mixed-effects models were employed to investigate the independent associations of green and blue spaces with visual acuity in youths. To explore potential interactions, an interaction term for green and blue spaces was incorporated. Quantile g-computation (Qgcomp) models were applied to evaluate their combined effects. Compared to the lowest quartile, higher quartiles (Q2, Q3, and Q4) of the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), normalized difference water index (NDWI), and modified normalized difference water index (MNDWI) were significantly associated with improved visual acuity in both eyes. Additionally, each 0.1 unit increase in NDVI500, EVI500, NDWI500, and MNDWI500 was associated with 0.008 (95 % confidence interval [CI]: 0.007, 0.010), 0.003 (0.002, 0.004), 0.054 (0.028, 0.080), and 0.010 (0.002, 0.018) improvements in right-eye visual acuity, with similar findings for the left eye. A significant interaction was observed between NDVI and NDWI (all P for interaction < 0.001), and combined exposure to green and blue spaces was positively associated with visual acuity (all P < 0.001). Furthermore, demographic and lifestyle factors modified the associations of blue and green spaces with visual acuity levels in youths. Greater exposure to green and blue spaces may benefit visual health in youths, with potential interactive and combined effects. Implementing policies to enhance the availability of green and blue spaces around schools may offer opportunities to alleviate visual impairment in youths.
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Affiliation(s)
- Xiaoyun Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Gaohui Zhang
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xue Liu
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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Cheng W, Wu H, Wang Z, Liang L. Association between long-term green space exposure and dry eye in China. Asia Pac J Ophthalmol (Phila) 2025:100165. [PMID: 40010438 DOI: 10.1016/j.apjo.2025.100165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 09/22/2024] [Accepted: 10/23/2024] [Indexed: 02/28/2025] Open
Abstract
PURPOSE To evaluate the association between green space exposure and dry eye. DESIGN Part I: case-control study. Part II: cross-sectional study. METHODS Part I: The study contained 450 patients with dry eye and 900 controls recruited from Electronic Health Records. Logistic regression analysis was employed to investigate the relationship between green space exposure and the occurrence of dry eye. Part II: This study included 140 diabetic participants recruited from the community registry in Guangzhou, China. Linear regression analysis was used to assess the association between green space exposure and quantitative measures of the tear meniscus. RESULTS Part I: A total of 1,350 individuals were included in the study. On average individuals aged 31.07 ± 4.58 years and 59.33% were female. Higher 10-year green space exposure was significantly associated with lower odds of dry eye (OR = 0.96; 95% confidence interval [CI], 0.94, 0.97; P < 0.001) after adjusting for age, sex, rainfall, temperature, particulate matter, and other factors. Part II: A total of 140 diabetic patients were included in the study. On average individuals aged 64.48 ± 8.19 years and 53.57% were female. Greater 10-year green space exposure was associated with a higher tear meniscus area (β = 0.07, 95% CI, 0.02, 0.11; p = 0.007) after adjusting for age, sex, rainfall, temperature, particulate matter, and other factors. CONCLUSIONS Our findings suggest an association between green space exposure and diagnosis of dry eye and tear meniscus, offering novel insights into the strategies for preventing dry eye.
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Affiliation(s)
- Weijing Cheng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Hanyou Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Zhenyu Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Lingyi Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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Kai JY, Dong XX, Miao YF, Li DL, Grzybowski A, Lanca C, Ruan ZL, Pan CW. Impact of Ambient Air Pollution on Reduced Visual Acuity Among Children and Adolescents. Ophthalmic Epidemiol 2025:1-8. [PMID: 39903915 DOI: 10.1080/09286586.2025.2457623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2024] [Revised: 01/11/2025] [Accepted: 01/20/2025] [Indexed: 02/06/2025]
Abstract
PURPOSE Previous studies have assessed the impact of air pollution on myopia from the individual level, while none of them have explored the role of air pollution in visual health disparities between different regions from the area level. This ecological study aimed to investigate the impact of ambient air pollution on reduced visual acuity (VA). METHODS The data were derived from the Chinese National Survey on Students' Constitution and Health (CNSSCH) conducted in 2014 and 2019, which involved 261,833 and 267,106 students respectively. The participants were 7-22 years old randomly selected from 30 mainland provinces in China. Locally weighted scatterplot smoothing (LOESS) regression models and fixed-effects panel regression models were used to explore the associations of provincial-level prevalence of reduced VA with air quality index (AQI), fine particulate matter ;(PM2.5), PM10, sulfur dioxide (SO2), carbon monoxide (CO), nitrogen dioxide (NO2) and ozone (O3) concentrations. RESULTS There were nearly linear positive dose-response relationships between AQI, air pollutant concentrations and the prevalence of reduced VA. After adjusting for covariates, an interquartile range increase in PM2.5 exposure was significantly associated with a 5.0% (95% confidence interval, 0.7%-9.3%) increase in the prevalence of reduced VA, whereas no significant associations were observed between AQI, the other five pollutants and the prevalence of reduced VA. CONCLUSION Regions with more polluted air tend to have a higher prevalence of reduced VA. Exposure to PM2.5 might be an important risk factor for myopia among children and adolescents.
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Affiliation(s)
- Jia-Yan Kai
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xing-Xuan Dong
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yi-Fan Miao
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Dan-Lin Li
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Andrzej Grzybowski
- Foundation for Ophthalmology Development, Institute for Research in Ophthalmology, Poznan, Poland
| | - Carla Lanca
- Division of Science, New York University Abu Dhabi, Abu Dhabi, UAE
- Comprehensive Health Research Center (CHRC), Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Zeng-Liang Ruan
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Epidemiology & Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Chen-Wei Pan
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
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Li JH, Zeng HX, Wei J, Wu QZ, Qin SJ, Zeng QG, Zhao B, Dong GH, Shen JC, Zeng XW. Long-term exposure to PM 2.5 and its constituents and visual impairment in schoolchildren: A population-based survey in Guangdong province, China. ENVIRONMENT INTERNATIONAL 2025; 195:109270. [PMID: 39813955 DOI: 10.1016/j.envint.2025.109270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 01/08/2025] [Accepted: 01/08/2025] [Indexed: 01/18/2025]
Abstract
BACKGROUND Exposure to fine particulate matter (PM2.5) has been linked to visual impairment. Nevertheless, evidence associating PM2.5 constituents with visual impairment in schoolchildren is sparse. OBJECTIVES To explore the effects of long-term exposure to PM2.5 and its constituents on visual impairment. METHODS We conducted a large cross-sectional population-based study to recruit 59,054 schoolchildren from four cities in Guangdong province, China, and used the ChinaHighAirPollutants (CHAP) dataset to estimate 3-year average concentrations of PM2.5 and its constituents (black carbon (BC), organic matter (OM), nitrate (NO3-), sulfate (SO42-) and ammonium (NH4+)) based on individuals' home addresses. Visual acuity was measured with a standardized logarithmic chart, and visual impairment was defined as visual acuity below 4.9 (Snellen 5/6 equivalent) in at least one eye. We utilized generalized linear mixed models and weighted quantile sum regression to assess the association between PM2.5 constituents and visual impairment. RESULTS The observed associations typically displayed a nonlinear pattern. Compared to the lowest quartile of PM2.5 and its constituents, the fourth quartile was associated with higher odds of visual impairment in schoolchildren (e.g., the adjusted odds ratio (OR) was 1.23 (95% CI: 1.13, 1.33) for PM2.5, 1.53 (95% CI: 1.40, 1.67) for OM, and 1.35 (95% CI: 1.27, 1.44) for BC), respectively. Similarly, joint exposure to PM2.5 constituents was associated with visual impairment (OR = 1.17, 95% CI: 1.13, 1.22), while BC and OM contributed more to the observed associations. CONCLUSIONS Long-term exposure to PM2.5 and its constituents was significantly associated with higher rates of visual impairment in schoolchildren, with combustion-related BC and OM potentially driving the observed associations.
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Affiliation(s)
- Jia-Hui Li
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China
| | - Hui-Xian Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China
| | - Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Qi-Zhen Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China
| | - Shuang-Jian Qin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China
| | - Qing-Guo Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China
| | - Ji-Chuan Shen
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440 Guangdong, China.
| | - Xiao-Wen Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080 China.
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Zheng K, Yang D, Qi W, He X, Qu S, Chu L, Huang S, Yang Y, Huang Y, Zhang F, Luo C. Air pollutant exposure is associated with visual trajectories and visual impairment in children. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135842. [PMID: 39316917 DOI: 10.1016/j.jhazmat.2024.135842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/15/2024] [Accepted: 09/13/2024] [Indexed: 09/26/2024]
Abstract
Air pollution is associated with vision loss in children, but the relationship with vision trajectories has not been explored. The study was conducted as a prospective cohort in 16 districts of Shanghai from 2021 to 2023, involving 5612 children with complete survey data. Each child underwent 3-4 eye tests, including unaided visual acuity and computerized refraction. Children's air pollutant exposure levels (PM2.5, PM10, O3, SO2, NO2, and CO) were assessed using school addresses and examination dates. Latent class mixture modeling was used to identify the trajectories of changes in vision-related measurements in children. Multinomial logistic regression and Cox proportional hazards regression were used to examine the association of air pollutant exposure and visual trajectories, as well as visual impairment outcomes. The study identified three trajectory categories for children's unaided visual acuity, spherical equivalent, and four trajectory categories for axial length. Increased levels of PM2.5, PM10, O3, and SO2 exposure are associated with an increased risk of categorizing vision-related measurements into the "poor" category trajectory in children. Increased exposure to PM2.5, O3, and NO2 was associated with an increased risk of visual impairment outcomes in children with normal vision at baseline, and the effect was more significant in female and older children.
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Affiliation(s)
- Keyang Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Dongling Yang
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Wenjuan Qi
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Xiangui He
- Shanghai Eye Disease Prevention and Treatment Center, Shanghai 201103, China
| | - Shuangxiao Qu
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Liting Chu
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Shenglei Huang
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Yanting Yang
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Yuting Huang
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China
| | - Fengyun Zhang
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China.
| | - Chunyan Luo
- Shanghai Municipal Center for Disease Control and Prevention, Division of Child and Adolescent Health, Shanghai 200336, China.
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Yan JM, Zhang MZ, Yu HJ, He QQ. Residential greenness, air pollution and visual impairment: a prospective cohort study. BMC Public Health 2024; 24:3332. [PMID: 39614249 DOI: 10.1186/s12889-024-20853-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 11/25/2024] [Indexed: 12/01/2024] Open
Abstract
OBJECTIVE The aim of this study was to investigate the associations between residential greenness, air pollution (PM2.5, PM10, and NO2), and the risk of visual impairment in Chinese middle-aged and elderly adults. METHODS The data were used from the China Health and Retirement Longitudinal Study (CHARLS), focusing on adults aged 45 years and older. Exposure to residential greenness was assessed using the Normalized Difference Vegetation Index (NDVI), while air pollution exposure (PM2.5, PM10, and NO2) was estimated from the ChinaHighAirPollutants dataset. Visual impairment was self-reported and categorized as distance visual impairment (DVI) and near visual impairment (NVI). Cox proportional hazards models were applied to investigate the associations between residential greenness, air pollution, and visual impairment. Furthermore, we investigated the potential modification and mediation relationship between residential greenness, air pollution and visual impairment. RESULTS A total of 9,591 participants were included in this study. During a 7-year period, 2,650 cases of DVI and 3,130 cases of NVI were identified. In the single exposure model, a higher level of residential greenness was associated with a significantly reduced risk of both DVI and NVI. Specifically, for every 0.1 unit increase in NDVI, the hazard ratio (HR) was 0.68 (95%CI: 0.65,0.71) for DVI, and 0.67 (95%CI: 0.64,0.69) for NVI. Conversely, exposure to air pollution was positively associated with increased risks for both DVI and NVI. For each 10 µg/m3 increase in PM2.5, the HR was 1.60 (95%CI: 1.56,1.65) for DVI and 1.64 (95%CI: 1.60,1.69) for NVI. Similarly, PM10 and NO2 exposure showed elevated risks with HR of 1.28 (95%CI: 1.27,1.30) and 1.73 (95%CI: 1.62,1.85) for DVI, and 1.30 (95%CI: 1.28,1.32) and 1.82 (95%CI: 1.72,1.94) for NVI, respectively. The multiple exposure model also showed significant association between residential greenness, air pollution and visual impairment risk. Additionally, the adverse effects of PM2.5, PM10, and NO2 were attenuated in areas with the highest levels of residential greenness. Mediation analysis revealed that air pollution mediated a significant portion of the association between residential greenness and visual impairment. CONCLUSION This study suggests that increased residential greenness may reduce the risk of visual impairment, partially by mitigating air pollution exposure. These findings highlight the environmental benefits to improve air quality and enhance green spaces, thereby promoting visual health in aging populations.
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Affiliation(s)
- Jia-Min Yan
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P. R. China.
| | - Min-Zhe Zhang
- School of Public Health, Wuhan University, Wuhan, China
| | - Hong-Jie Yu
- School of Public Health, Wuhan University, Wuhan, China
| | - Qi-Qiang He
- School of Public Health, Wuhan University, Wuhan, China
- Hubei Biomass-Resource Chemistry and Environmental Biotechnology Key Laboratory, Wuhan University, Wuhan, China
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Luo Y, Wang Q, Wang Y, Mackay LE, Yan N, Wang Y, Shiferaw BD, Wang Y, Wang J, Tang J, Liao Y, Wang X, Wang W. Trends in the prevalence and burden of blindness and vision loss among adolescents aged 10-24 years in the Western Pacific Region over 30 years. BMC Public Health 2024; 24:3193. [PMID: 39558283 PMCID: PMC11571684 DOI: 10.1186/s12889-024-20607-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 11/04/2024] [Indexed: 11/20/2024] Open
Abstract
BACKGROUND This study aimed to understand the vision health status of adolescents in the Western Pacific Region (WPR) using Global Burden of Disease (GBD) data from 1990 to 2019. METHODS We conducted a comprehensive analysis of blindness and vision loss using GBD data from 1990 to 2019, analyzed trends in the prevalence and burden of blindness and vision loss over time using joinpoint regression, and analyzed their independent effects on blindness and vision loss in three dimensions using age-period-cohort (APC) modeling. RESULTS The prevalence of blindness and vision loss among adolescents in the WPR showed an increasing trend between 1990 and 2019 (AAPC: 0.56%) and a slight increase in YLD (AAPC: 0.11%). The joinpoint regression showed a decreasing trend after 2017 (AAPC: -2.45%). The prevalence and burden trended downward in most Western Pacific countries, with only China rising significantly (AAPC prevalence: 0.57%). Refractive disorders had the highest prevalence among the subgroups. The risk of blindness and vision loss in adolescents reduced with age but grew later in time and at later birth. In addition, prevalence and burden were generally higher in females than males. CONCLUSIONS In the context of a declining global trend in the prevalence and burden of blindness and vision loss among adolescents, there is an increasing trend among adolescents in WPR, with the most pronounced rise in China. This finding has important implications for WPR, suggesting that more attention should be given to adolescent eye health in the region.
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Affiliation(s)
- Yunjiao Luo
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Qingzhi Wang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Yingxue Wang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Louisa Esi Mackay
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Na Yan
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Yuhao Wang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Blen Dereje Shiferaw
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Yihan Wang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Jingjing Wang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Jie Tang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China
| | - Ya Liao
- Department of Ophthalmology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Xiaojuan Wang
- Department of Ophthalmology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
| | - Wei Wang
- School of Public Health, Xuzhou Medical University, No.209 Tongshan Road, Huangshan Street, Xuzhou, Jiangsu, 221004, China.
- Research Center for Mental Crisis Prevention and Intervention of College Students in Jiangsu Province, Xuzhou, Jiangsu, China.
- Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou, Jiangsu, China.
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Ye L, Wang Y, Sun Y, Li WJ, Zhang GY, Wang WJ, Ren MX, Gao JC, Liu GC, Guo YM, Huang J, Lu XX, Min J, Ran TZ, Li SX, He ZT, Jing QY, Wang PQ, Qu LQ, Yang YQ, Ge P, Zhang J, Lv MQ, Zhou DX. Association between weekend catch-up outdoor duration and prevalence of myopia: evidence from a cross-sectional, multi-center study in China. BMC Public Health 2024; 24:2966. [PMID: 39455944 PMCID: PMC11515117 DOI: 10.1186/s12889-024-20466-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 10/21/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND This study aimed at investigating the relationship between the weekend catch-up outdoor duration (WCOD) and prevalence of myopia among students in China. METHODS This cross-sectional study recruited participants in 107 schools (six cities, 30 districts) from China from May to June 2021. Demographic characteristics (age, grade, sex, ethnicity, BMI, resident, and parents' myopia), optically habits (bad writing habits, working/studying time per day, continuous working/studying time per day, and screen time per day) and outdoor duration (weekday and weekend) were obtained from questionnaire. WCOD was defined as outdoor time 1 h longer on weekends than on weekdays. Spherical equivalent (SE) of refractive error were measured with non-cycloplegic refraction. Adjusted multivariate logistic regression analysis was performed to evaluate the relationship between WCOD and prevalence of myopia. RESULTS Students with myopia had shorter WCOD compared with those without myopia (P < 0.001). Adjusted multivariate logistic regression analyses showed negative associations between WCOD and prevalence of myopia in Chinese students, especially in students with WCOD of 2-3 h (OR = 0.577, P < 0.001) and 3-4 h (OR = 0.571, P = 0.004) when the weekday outdoor duration was 0.5-1 h, as well as students with WCOD of 2-3 h (OR = 0.614, P = 0.003) when the weekday outdoor duration was 1-2 h. Similar results were observed in students with high myopia. Students with high myopia had shorter WCOD compared with those without high myopia (P = 0.001). Negative associations between WCOD and prevalence of high myopia were significant in students with WCOD of 1-2 h when the weekday outdoor duration was < 0.5 h (OR = 0.585, P = 0.007) and 0.5-1 h (OR = 0.537, P = 0.018). CONCLUSION Our study, for the first time, reported that a WCOD have a potential to reduce the prevalence of myopia and high myopia in Chinese students.
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Affiliation(s)
- Lu Ye
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Ying Wang
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710049, China
| | - Ying Sun
- Department of Pathology, Medical School, Xi'an Jiaotong University, 76 Yanta West Road, Xi'an, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710061, China
| | - Wu-Jun Li
- Traditional Chinese Medicine Hospital of Yulin, Yulin Eye Hospital, Yulin, 719000, China
| | - Guo-Yun Zhang
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | - Wen-Jun Wang
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | - Mei-Xia Ren
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | | | - Guan-Chen Liu
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Yi-Ming Guo
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | - Juan Huang
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | - Xin-Xin Lu
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jie Min
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | - Tuan-Zheng Ran
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China
| | - Si-Xuan Li
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Zi-Tong He
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Qi-Ya Jing
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Pei-Quan Wang
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Liu-Qing Qu
- Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yan-Qi Yang
- Department of Pathology, Medical School, Xi'an Jiaotong University, 76 Yanta West Road, Xi'an, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710061, China
| | - Pan Ge
- Department of Pathology, Medical School, Xi'an Jiaotong University, 76 Yanta West Road, Xi'an, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710061, China
| | - Jian Zhang
- Department of Pathology, Medical School, Xi'an Jiaotong University, 76 Yanta West Road, Xi'an, 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710061, China
| | - Mo-Qi Lv
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China.
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710049, China.
- Department of Pathology, Medical School, Xi'an Jiaotong University, 76 Yanta West Road, Xi'an, 710061, China.
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710061, China.
| | - Dang-Xia Zhou
- Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, China.
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710049, China.
- Department of Pathology, Medical School, Xi'an Jiaotong University, 76 Yanta West Road, Xi'an, 710061, China.
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, 710061, China.
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9
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Mu L, Bi S, Ding X, Xu Y. Transformer-based ozone multivariate prediction considering interpretable and priori knowledge: A case study of Beijing, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 366:121883. [PMID: 39047437 DOI: 10.1016/j.jenvman.2024.121883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 06/15/2024] [Accepted: 07/13/2024] [Indexed: 07/27/2024]
Abstract
Ozone pollution is the focus of current environmental governance in China and high-quality prediction of ozone concentration is the prerequisite to effective policymaking. The studied ozone pollution time series exhibits distinct seasonality and secular trends and is associated with various factors. This study developed an interpretable hybrid model by combining STL decomposition and the Transformer (STL-Transformer) with the prior information of ozone time series and global multi-source information as prediction basis. The STL decomposition decomposes ozone time series into trend, seasonal, and remainder components. Then, the three components, along with other air quality and meteorological data, are integrated into the input sequence of the Transformer. The experiment results show that the STL-Transformer outperforms the other five state-of-the-art models, including the standard Transformer. Specially, the univariate forecasting for ozone relies on mimicking the patterns and trends that have occurred in the past. In contrast, multivariate forecasting can effectively capture complex relationships and dependencies involving multiple variables. The method successfully grasps the prior and global multi-source information and simultaneously improves the interpretability of ozone prediction with high precision. This study provides new insights for air pollution forecasting and has reliable theoretical value and practical significance for environmental governance.
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Affiliation(s)
- Liangliang Mu
- Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
| | - Suhuan Bi
- School of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China.
| | - Xiangqian Ding
- Faculty of Information Science and Engineering, Ocean University of China, Qingdao, 266100, China
| | - Yan Xu
- Ocean University of China, Qingdao, 266100, China; Qingdao Financial Research Institute, Dongbei University of Finance and Economics, Qingdao, 266100, China.
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10
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Bao WW, Zhao Y, Dadvand P, Jiang N, Chen G, Yang B, Huang W, Xiao X, Liang J, Chen Y, Huang S, Pu X, Huang S, Lin H, Guo Y, Dong G, Chen Y. Urban greenspace and visual acuity in schoolchildren: a large prospective cohort study in China. ENVIRONMENT INTERNATIONAL 2024; 184:108423. [PMID: 38241831 DOI: 10.1016/j.envint.2024.108423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/28/2023] [Accepted: 01/03/2024] [Indexed: 01/21/2024]
Abstract
BACKGROUND Greenspace is known to have a positive impact on human health and well-being, but its potential effects on visual acuity have not been extensively studied. OBJECTIVES Our aim was to examine the relationship between long-term greenspace exposure and visual acuity in children, while also exploring the potential mechanisms in this association. METHODS We conducted this prospective cohort study based on the Children's growth environment, lifestyle, physical, and mental health development project (COHERENCE), which screened 286,801 schoolchildren in Guangzhou, China, starting in the 2016/17 academic year and followed them up for three academic years (2017/18-2019/20). Visual acuity was measured using a standardized logarithmic chart, and visual impairment was defined as visual acuity worse than 0.0 logarithm of the minimum angle of resolution (LogMAR) units in the better eye. We used the Normalized Difference Vegetation Index (NDVI), the Soil-Adjusted Vegetation Index (SAVI), and the Enhanced Vegetation Index (EVI) to assess the greenspace surrounding child's geocoded home and school at each visit. RESULTS Our analysis indicated that higher greenspace exposure was associated with greater visual acuity z-score at baseline and with slower decline in visual acuity z-score during the 3-year follow-up. An interquartile range increase in home-school-based NDVI 300m was associated with a 7% decrease [hazard ratios (HRs): 0.93, 95% confidence interval (CI): 0.92, 0.94] in the risk of visual impairment. We also found that air pollution, physical activity, outdoor time, and recreational screen time partially mediated the greenspace-visual acuity association. CONCLUSION Our findings suggest that increasing greenspace exposure could benefit children's visual acuity development and reduce the risk of visual impairment by reducing air pollution and recreational screen time while increasing physical activity and outdoor time. All results could have potential policy implications, given the individual and societal burdens associated with visual impairment.
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Affiliation(s)
- Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yu Zhao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain, CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Nan Jiang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Boyi Yang
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wenzhong Huang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Xiang Xiao
- Department of Geography, Hong Kong Baptist University, Hong Kong SAR; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, China
| | - Jinghong Liang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yican Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shan Huang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xueya Pu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shaoyi Huang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Haotian Lin
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, 7# Jinsui Road, Guangzhou, 510623, China
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Guanghui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yajun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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11
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Liu S, Mo C, Lei L, Lv F, Li J, Xu X, Lu P, Wei G, Huang X, Zeng X, Qiu X. Association of ultraprocessed foods consumption and cognitive function among children aged 4-7 years: a cross-sectional data analysis. Front Nutr 2023; 10:1272126. [PMID: 37881777 PMCID: PMC10597700 DOI: 10.3389/fnut.2023.1272126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023] Open
Abstract
Background Sugar-sweetened beverage (SSB) consumption has shown associations with cognitive function in preschool children, but effects of other ultraprocessed foods consumption are rarely discussed in China. This study aimed to investigate the relationship between ultraprocessed food consumption and cognitive function among preschool children in China. Methods A total of 325 children aged 4-7 years were included from Guangxi Zhuang Birth Cohort in Guangxi Zhuang Autonomous Region, China. Face-to-face interviews with parents using the Food Frequency Questionnaire (FFQ) was conducted to investigate the status of seven ultraprocessed foods consumption (i.e., chocolate, biscuits, candy, fast-food, ice cream, SSBs, and sweet bakery products). The mandarin-language version of the Wechsler Preschool and Primary Scale of Intelligence (WPPSI, Fourth Edition) was applied to assess the cognitive function of children. Multiple linear and logistic regression models were used to assess the associations between ultraprocessed food consumption and the full-scale intelligence quotient (FSIQ) and different domains and risk of cognitive deficit, respectively. Results We found that frequent consumption of candy (β = -3.34, 95% CI: -5.62∼-1.06; p = 0.004) and sweet bakery products (β = -2.77, 95% CI: -5.58∼0.04; p = 0.054) were significant associated with decreased FSIQ scores in the linear regression models. However, only frequent consumption of candy was statistically significantly associated with an increased risk of cognitive deficit (OR = 2.05, 95% CI: 1.11∼3.79; p = 0.023) in the logistic regression models. For the different domains, we found frequent consumption of candy (β = -3.85, 95% CI: -6.28∼-1.43; p = 0.002) and sweet bakery products (β = -3.48, 95% CI: -6.47∼-0.49; p = 0.023) was also significantly associated with lower Verbal Comprehension Index (VCI). When combining the seven ultraprocessed foods, we found children who frequently consumed more than two kinds of ultraprocessed foods had a significant decrease of VCI scores (β = -2.66; 95% CI: -5.12∼-0.19; p = 0.035) too. Conclusion Our results suggested that frequent consumption of individual (candy and sweet bakery products) and multiple ultraprocessed foods may decrease VCI scores and thereby impact cognitive function in children aged 4-7 years.
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Affiliation(s)
- Shun Liu
- Department of Child and Adolescent Health and Maternal and Child Health, School of Public Health, Guangxi Medical University, Nanning, China
| | - Caimei Mo
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Lidi Lei
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Fangfang Lv
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Jinxiu Li
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xuemei Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Peini Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Gangjie Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xuanqian Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xiaoyun Zeng
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
| | - Xiaoqiang Qiu
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, China
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12
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Li J, Song Y, Shi L, Jiang J, Wan X, Wang Y, Ma Y, Dong Y, Zou Z, Ma J. Long-term effects of ambient PM 2.5 constituents on metabolic syndrome in Chinese children and adolescents. ENVIRONMENTAL RESEARCH 2023; 220:115238. [PMID: 36621550 DOI: 10.1016/j.envres.2023.115238] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
Metabolic syndrome (MetS) is considered a main public health issue as it remarkably adds the risk of cardiovascular disease, leading to a heavy burden of disease. There is growing evidence linking fine particulate matter (PM2.5) exposure to MetS. However, the influences of PM2.5 constituents, especially in children and adolescents, remain unclear. Our study was according to a national analysis among Chinese children and adolescents to examine the associations between long-term exposure to PM2.5 main constituents and MetS. A total of 10,066 children and adolescents aged 10-18 years were recruited in 7 provinces in China, with blood tests, health exams, and questionnaire surveys. We estimated long-term exposures to PM2.5 mass and its five constituents, containing black carbon (BC), organic matter (OM), inorganic nitrate (NO3-), sulfate (SO42-), and soil particles (SOIL) from multi-source data fusion models. Mixed-effects logistic regression models were used with the adjustment of a variety of covariates. In the surveyed populations, 2.9% were classified as MetS. From the single-pollutant models, we discovered that long-term exposures to PM2.5 mass, BC, OM, NO3-, as well as SO42-, were significantly associated with the prevalence of MetS, with odds ratios (ORs) per 1 μg/m3 that were 1.02 (95% confidence interval (CI): 1.01, 1.03) for PM2.5 mass, 1.24 (95% CI: 1.14, 1.35) for BC, 1.07 (95% CI: 1.04, 1.11) for OM, 1.09 (95% CI: 1.04, 1.13) for NO3-, and 1.14 (95% CI:1.04, 1.24) for SO42-. The influence of BC on the prevalence of MetS was robust in both the multi-pollutant model and the PM2.5-constituent joint model. The paper indicates long-term exposure to PM2.5 mass and specific PM2.5 constituents, particularly for BC, was significantly associated with a higher MetS prevalence among children and adolescents in China. Our results highlight the significance of establishing further regulations on PM2.5 constituents.
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Affiliation(s)
- Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Jun Jiang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Xiaoyu Wan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China.
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, 100191, China
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13
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Adomfeh J, Chinn RN, Michalak SM, Shoshany TN, Bishop K, Hunter DG, Jastrzembski BG, Oke I. Association of Neighborhood Child Opportunity Index with presenting visual acuity in amblyopic children. J AAPOS 2023; 27:20.e1-20.e5. [PMID: 36581151 DOI: 10.1016/j.jaapos.2022.11.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 11/17/2022] [Accepted: 11/22/2022] [Indexed: 12/28/2022]
Abstract
PURPOSE To demonstrate the use of a novel measure of neighborhood quality, the Child Opportunity Index (COI), for investigating health disparities in pediatric ophthalmology. METHODS This study included children 2-12 years of age from a registry of patients diagnosed with amblyopia at an urban pediatric hospital between 2010 and 2014. Children previously treated for amblyopia were excluded. Patient demographics, residential addresses, and logMAR visual acuities were collected. The association between visual acuity at presentation and COI was examined using linear mixed-effects models adjusting for individual-level factors, including age, sex, race, ethnicity, and insurance type. RESULTS This study included 1,050 amblyopic children, of whom 317 (37%) were non-White and 149 (19%) were Hispanic; 461 (44%) had public insurance. Regarding residence, 129 (12%) lived in areas of very low opportunity (COI <20); 489 (47%) in areas of very high opportunity (COI ≥80). Children residing in the lowest opportunity neighborhoods correctly identified approximately two fewer letters at presentation with their better-seeing eye compared with children from the highest opportunity neighborhoods after adjusting for individual-level factors (-0.0090 logMAR per 20 unit increase in COI; 95% CI, -0.0172 to -0.0008; P = 0.031). No difference was appreciated in the worse-seeing eye. CONCLUSIONS Amblyopic children residing in communities with low neighborhood opportunity had slightly worse visual acuity in the better-seeing eye at presentation. Although statistically significant in the better-seeing eye, the two-letter difference attributable to neighborhood environment may not be clinically significant, and the impact of this disparity on treatment outcomes deserves further investigation.
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Affiliation(s)
- Jean Adomfeh
- Harvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts
| | - Ryan N Chinn
- Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts
| | - Suzanne M Michalak
- Harvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts; Byers Eye Institute, Stanford University, Palo Alto, California
| | - Talia N Shoshany
- Wills Eye Hospital, Jefferson Medical College, Philadelphia, Pennsylvania
| | - Kaila Bishop
- Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts
| | - David G Hunter
- Harvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts
| | - Benjamin G Jastrzembski
- Harvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts
| | - Isdin Oke
- Harvard Medical School, Boston, Massachusetts; Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts.
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14
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Khader Y, Wang C, Guo X, Xu H, Qin Z, Tao L. Effects of Greenness on Myopia Risk and School-Level Myopia Prevalence Among High School-Aged Adolescents: Cross-sectional Study. JMIR Public Health Surveill 2023; 9:e42694. [PMID: 36622746 PMCID: PMC9871879 DOI: 10.2196/42694] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 11/26/2022] [Accepted: 11/28/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Myopia is a serious public health issue. High school-aged adolescents in Beijing have an alarming prevalence of myopia. Therefore, determining myopia protective factors is essential. Green space has a certain association with myopia protective factors that can protect against myopia. OBJECTIVE This study aims to examine the effects of green space around schools on individual myopia risk in high school-aged adolescents and the school-level myopia prevalence. METHODS Green space was measured using the normalized difference vegetation index (NDVI). A total of 13,380 samples of 51 high schools were selected from a 2021 Beijing Municipal Health Commission survey. Adolescent myopia was defined as a spherical equivalent of ≤-1.00 diopters in the worse eye. Generalized linear mixed models with a binomial error structure were used to analyze the effects of the NDVI on personal myopia risk and adjust them by other factors, such as demographics, exposure time, and outdoor exercise. The effects of the NDVI on school-level myopia prevalence with adjusted demographics and the relative position factors of trees were analyzed through quasibinomial regression. RESULTS The overall prevalence of myopia was 80.61% (10,785/13,380, 95% CI 79.93%-81.27%). Although with a 0.1 increase in the 500 and 1000 m buffer NDVIs adjusted by demographic and other factors, the high school-aged personal myopia risk significantly dropped by 16% (odds ratio [OR] 0.84, 95% CI 0.73-0.97) and 12% (OR 0.88, 95% CI 0.79-0.99), respectively. However, only the adjusted 500 m buffer NDVI (by demographics and the position of trees) with a 0.1 increase significantly reduced the school-level myopia prevalence by 15% (OR 0.85, 95% CI 0.74-0.98). Subgroup analysis showed that the adjusted effects of the 500 m buffer NDVI are significant in schoolgirls (OR 0.82, 95% CI 0.72-0.93), juniors (OR 0.82, 95% CI 0.72-0.94), the Han nationality (OR 0.84, 95% CI 0.72-0.97), 1-year exposure (OR 0.84, 95% CI 0.71-0.99) and 3-year exposure (OR 0.78, 95% CI 0.65-0.94). CONCLUSIONS The greenness of a 500 m buffer around schools is associated with a lower personal myopia risk among adolescents and a lower prevalence of myopia in schools. With regard to prevention and control activities, green space within a 500 m buffer around schools is suggested as an independent protective factor for adolescent myopia.
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Affiliation(s)
| | - Cheng Wang
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Xin Guo
- Institute of School Health, Beijing Center for Disease Prevention and Control, Beijing, China.,School of Public Health, Capital Medical University, Beijing, China
| | - Huiyu Xu
- Institute of School Health, Beijing Center for Disease Prevention and Control, Beijing, China.,School of Public Health, Capital Medical University, Beijing, China
| | - Zihao Qin
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Liyuan Tao
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China.,Medical Examination Centre, Peking University Third Hospital, Beijing, China
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15
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Zong Z, Zhao M, Zhang M, Xu K, Zhang Y, Zhang X, Hu C. Association between PM 1 Exposure and Lung Function in Children and Adolescents: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15888. [PMID: 36497960 PMCID: PMC9740616 DOI: 10.3390/ijerph192315888] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/23/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
The detrimental effects of PM2.5 and PM10 (particulate matter less than 2.5 or 10 μm) on human respiratory system, including lung function, have been widely assessed. However, the associations between PM1 (particulate matter of less than 1 μm) and lung function in children and adolescents are less explored, and current evidence is inconsistent. We conducted a meta-analysis of the literature on the association between PM1 and lung function in children and adolescents to fill this gap. With no date or language constraints, we used a combination of MeSH (Medical Subject Headings) terms and free text to search PubMed, EMBASE and Web of Science databases through, 1 October 2022 for "PM1 exposure" and "lung function". A total of 6420 relevant studies were identified through our initial search, and seven studies were included in our study. In this meta-analysis, the fixed effect and random effects statistical models were used to estimate the synthesized effects of the seven included studies. For every 10 μg/m3 increase in short-term PM1 exposure, forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), peak expiratory flow (PEF) and maximal mid-expiratory flow (MMEF) decreased by 31.82 mL (95% CI: 20.18, 43.45), 32.28 mL (95% CI: 16.73, 48.91), 36.85 mL/s (95% CI: 15.33, 58.38) and 34.51 mL/s (95% CI: 19.61, 49.41), respectively. For each 10 μg/m3 increase in long-term PM1 exposure, FVC, FEV1, PEF and MMEF decreased by 102.34 mL (95% CI: 49.30, 155.38), 75.17 mL (95% CI: 39.61, 110.73), 119.01 mL/s (95% CI: 72.14, 165.88) and 44.94 mL/s (95% CI: 4.70, 85.18), respectively. Our study provides further scientific evidence for the harmful effects of PM1 exposure on lung function in children and adolescents, indicating that exposure to PM1 is detrimental to pulmonary health. To reduce the adverse health effects of air pollution on children and adolescents, effective preventive measures should be taken.
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Affiliation(s)
- Zhiqiang Zong
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Mengjie Zhao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Mengyue Zhang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Kexin Xu
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, Hefei 230032, China
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Chengyang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, China
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, Hefei 230032, China
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16
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Wu H, Zhang Y, Wei J, Bovet P, Zhao M, Liu W, Xi B. Association between short-term exposure to ambient PM 1 and PM 2.5 and forced vital capacity in Chinese children and adolescents. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:71665-71675. [PMID: 35604593 DOI: 10.1007/s11356-022-20842-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 05/11/2022] [Indexed: 05/17/2023]
Abstract
This study aims to examine the association between short-term exposure to ambient PM1, PM1-2.5, and PM2.5 and forced vital capacity (FVC). Population data were obtained from a school-based cross-sectional survey in Shandong in 2014. Distributed lag non-linear models were used to examine the association between exposure to PM1, PM1-2.5, and PM2.5 and FVC at the day of FVC measurement and the previous 6 days (lag 0 to 6 days). A total of 35,334 students aged 9 to 18 years were included in the study, and the mean exposure concentrations of ambient PM1, PM1-2.5, and PM2.5 for them were 47.4 (standard deviation [SD] = 21.3) μg/m3, 32.8 (SD = 32.2) μg/m3, and 80.1 (SD = 47.7) μg/m3, respectively. An inter-quartile range (IQR, 24 μg/m3) increment in exposure to PM1 was significantly associated with a lower FVC at lag 0 and lag 1 day (β = - 80 mL, 95% CI = - 119, - 42, and β = - 37 mL, 95% CI = - 59, - 16, respectively), and an IQR (54 μg/m3) increment in exposure to PM2.5 was significantly associated with a lower FVC at lag 0 and lag 1 day (β = - 57 mL, 95% CI = - 89, - 18, and β = - 34 mL, 95% CI = - 56, - 12, respectively) after adjustment for gender, age, body mass index category, residence, month of the survey, intake of eggs, intake of milk, physical activity, and screen time. No significant associations were observed for PM1-2.5. The inverse associations of PM1 and PM2.5 with FVC were larger in males, younger children, those overweight or obese, and those with insufficient physical activity levels. Short-term exposure to ambient PM1 and PM2.5 was associated with decreased FVC, and PM1 may be the primary fraction of PM2.5 causing the adverse pulmonary effects. Our findings emphasize the need to address ambient PM, especially PM1, pollution for affecting pulmonary health in children and adolescents.
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Affiliation(s)
- Han Wu
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yingxiu Zhang
- Shandong Center for Disease Control and Prevention, Shandong University Institute of Preventive Medicine, Jinan, Shandong, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Pascal Bovet
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Wenhui Liu
- Information and Data Analysis Lab, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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Yuan T, Zou H. Effects of air pollution on myopia: an update on clinical evidence and biological mechanisms. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:70674-70685. [PMID: 36031679 PMCID: PMC9515022 DOI: 10.1007/s11356-022-22764-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/24/2022] [Indexed: 05/06/2023]
Abstract
Myopia is one of the most common forms of refractive eye disease and considered as a worldwide pandemic experienced by half of the global population by 2050. During the past several decades, myopia has become a leading cause of visual impairment, whereas several factors are believed to be associated with its occurrence and development. In terms of environmental factors, air pollution has gained more attention in recent years, as exposure to ambient air pollution seems to increase peripheral hyperopia defocus, affect the dopamine pathways, and cause retinal ischemia. In this review, we highlight epidemiological evidence and potential biological mechanisms that may link exposure to air pollutants to myopia. A thorough understanding of these mechanisms is a key for establishing and implementing targeting strategies. Regulatory efforts to control air pollution through effective policies and limit individual exposure to preventable risks are required in reducing this global public health burden.
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Affiliation(s)
- Tianyi Yuan
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Haidong Zou
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Eye Diseases Prevention & Treatment Center, Shanghai Eye Hospital, Shanghai, China.
- National Clinical Research Center for Eye Diseases, Shanghai, China.
- Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China.
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Islam S, Upadhyay AK, Mohanty SK, Pedgaonkar SP, Maurer J, O'Donnell O. Use of unclean cooking fuels and visual impairment of older adults in India: A nationally representative population-based study. ENVIRONMENT INTERNATIONAL 2022; 165:107302. [PMID: 35617815 DOI: 10.1016/j.envint.2022.107302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/27/2022] [Accepted: 05/13/2022] [Indexed: 06/15/2023]
Abstract
Despite widespread use of unclean cooking fuels (UCF) in India, evidence from nationally representative data on its association with visual impairment was lacking. We used a population-based nationwide survey of adults aged 45 years and older that included reported UCF and measured visual impairment. We estimated that 44.8% (95% CI: 42.6, 47.1) of older adults in India lived in households that used UCF. Age- and sex-adjusted prevalence of visual impairment was estimated to be 33.0% (95% CI: 31.0, 34.9) in the older population that did not use UCF and 9.0 percentage points (pp) (95% CI: 8.9, 9.1) higher among those who did. Among those who used UCF, age- and sex-adjusted prevalence of low distance vision was 4.3 pp (95% CI: 4.2, 4.4) higher, prevalence of low near vision was 8.0 pp (95% CI: 7.9, 8.1) higher, and prevalence of blindness was 1.0 pp (95% CI: 0.9, 1.0) higher. After controlling for a rich array of sociodemographic characteristics and state fixed effects, we estimated that use of UCF was associated with higher prevalence of visual impairment by 3.2 pp (95% CI: 1.4, 5.0), low distance vision by 1.8 pp (95% CI: 0.7, 2.9), and low near vision by 3.2 pp (95% CI: 1.3, 5.0). Doubly robust estimates of these differences were slightly larger. Blindness was not significantly partially associated with use of UCF (95% CI: -0.4, 0.6). We did not find support for the hypotheses that the visual impairment risk associated with use of UCF was even larger for females and in households without a separate kitchen or ventilation. The older population of India is highly reliant on UCF that is very strongly associated with visual impairment. Impaired vision should not be overlooked among the harms associated with UCF.
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Affiliation(s)
- Samarul Islam
- International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai 400088, India.
| | - Ashish Kumar Upadhyay
- International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai 400088, India.
| | - Sanjay K Mohanty
- Department of Population & Development, International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai 400088, India.
| | - Sarang P Pedgaonkar
- Department of Family & Generations, International Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai 400088, India.
| | - Jürgen Maurer
- Institute of Health Economics and Management, Department of Economics, University of Lausanne, Switzerland.
| | - Owen O'Donnell
- Erasmus School of Economics and Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Netherlands.
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Guo L, Wang H, Zhou J, Tang W, Wang R, Xiao Z, Wu L, Wang J, Li L, Lei Y, Sun X, Tang Z. Magnetic resonance imaging investigations reveal that PM 2.5 exposure triggers visual dysfunction in mice. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 227:112866. [PMID: 34634599 DOI: 10.1016/j.ecoenv.2021.112866] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/19/2021] [Accepted: 09/30/2021] [Indexed: 05/06/2023]
Abstract
OBJECTIVES To investigate how PM2.5 exposure affects the microstructure, metabolites or functions of the visual system. METHODS C57BL/6J mice were randomly assigned to groups exposed to the filtered air (the control group) or the concentrated ambient PM2.5 (the PM2.5 group). Visual evoked potentials (VEP), electroretinograms (ERG), diffusion tensor imaging (DTI), proton magnetic resonance spectroscopy (1H-MRS) and resting-state functional MRI (rsfMRI) were performed. Parameters were obtained and compared between the two groups, including latencies and amplitudes of the P1 wave, N1 wave and P2 wave from VEP, latencies and amplitudes of the a wave and b wave from ERG, fractional anisotropy (FA), mean diffusion (MD), axial diffusivity (AD) and radial diffusivity (RD) from DTI, visual cortex (VC) metabolites from 1H-MRS, and regional homogeneity (ReHo) from rsfMRI. RESULTS Compared with the values of the control group, the PM2.5 group showed a prolonged N1 latency (43.11 ± 7.94 ms vs. 38.75 ± 4.60 ms) and lowered P1 amplitude (5.62 ± 4.38 μV vs. 8.56 ± 5.92 μV) on VEP (all p < 0.05). On ERG, the amplitude of the a wave was lowered (- 91.39 ± 56.29 μV vs. - 138.68 ± 89.05 μV), the amplitude of the b wave was lowered (194.38 ± 126.27 μV vs. 284.72 ± 170.99 μV), and the latency of the b wave was prolonged (37.78 ± 10.72 ms vs. 33.01 ± 4.34 ms) than the values of the control group (all p < 0.05). DTI indicated FA increase in the bilateral piriform cortex (Pir), FA decrease in the bilateral somatosensory cortex (S) and the bilateral striatum (Stri), AD decrease in the bilateral VC, the right S and the bilateral Pir, MD decrease in the bilateral Pir, and RD decrease in the bilateral Pir in the PM2.5 mice (all p < 0.05, Alphasim corrected). 1H-MRS showed Glutamate (Glu) increase and Phosphocholine (PCh) increase in the VC of the PM2.5 group than those of the control group (PCh 1.63 ± 0.25 vs. 1.50 ± 0.25; PCh/total creatine(tCr) 0.19 ± 0.03 vs. 0.18 ± 0.03; Glu 10.46 ± 1.50 vs. 9.60 ± 1.19; Glu/tcr 1.23 ± 0.11 vs. 1.12 ± 0.11) (all p < 0.05). rsfMRI showed higher ReHo in the PM2.5 mice in the left superior colliculus, the left motor cortex, the hippocampus, the periaqueductal gray and the right mesencephalic reticular formation (all p < 0.01, AlphaSim corrected). CONCLUSIONS This study revealed that PM2.5 exposure triggered visual dysfunction, and altered microstructure, metabolite and function in the retina and visual brain areas along the visual system.
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Affiliation(s)
- Linying Guo
- Department of Radiology, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - He Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, China
| | - Ji Zhou
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China; Shanghai Typhoon Institute, CMA, Shanghai 200030, China; Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai 200031, China
| | - Weijun Tang
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Rong Wang
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Zebin Xiao
- Department of Radiology, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China; Department of Biomedical Sciences, University of Pennsylvania, 22, Philadelphia, PA 19104, United States
| | - Lingjie Wu
- Department of Ear, Nose & Throat, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - Jie Wang
- Department of Radiotherapy, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - Liping Li
- Department of Ophthalmology & Visual Science, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - Yuan Lei
- Department of Ophthalmology & Visual Science, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China; NHC Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai 200031, China.
| | - Xinghuai Sun
- Department of Ophthalmology & Visual Science, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China; NHC Key Laboratory of Myopia, Chinese Academy of Medical Sciences, and Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai 200031, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
| | - Zuohua Tang
- Department of Radiology, Eye & ENT Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China.
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20
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Grant A, Leung G, Aubin MJ, Kergoat MJ, Li G, Freeman EE. Fine Particulate Matter and Age-Related Eye Disease: The Canadian Longitudinal Study on Aging. Invest Ophthalmol Vis Sci 2021; 62:7. [PMID: 34369984 PMCID: PMC8354031 DOI: 10.1167/iovs.62.10.7] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Purpose To determine the relationship between fine particulate matter (PM2.5) and ocular outcomes such as visual impairment and age-related eye disease. Methods Baseline data were used from the Canadian Longitudinal Study on Aging. The Comprehensive Cohort consisted of 30,097 adults ages 45 to 85 years. Annual mean PM2.5 levels (µg/m3) for each participant's postal code were estimated from satellite data. Ozone, sulfur dioxide, and nitrogen dioxide levels were also estimated. Binocular presenting visual acuity was measured using a visual acuity chart. Intraocular pressure (IOP) was measured in millimeters of mercury using the Reichart Ocular Response Analyzer. Participants were asked about a diagnosis of glaucoma, macular degeneration, or cataract. Logistic and linear regression models were used. Results The overall mean PM2.5 level was 6.5 µg/m3 (SD = 1.8). In the single pollutant models, increased PM2.5 levels (per interquartile range) were associated with visual impairment (odds ratio [OR] = 1.12; 95% confidence interval [CI], 1.02-1.24), glaucoma (OR = 1.14; 95% CI, 1.01-1.29), and visually impairing age-related macular degeneration (OR = 1.52; 95% CI, 1.10-2.09) after adjustment for sociodemographics and disease. PM2.5 had a borderline adjusted association with cataract (OR = 1.06; 95% CI, 0.99-1.14). In the multi-pollutant models, increased PM2.5 was associated with glaucoma and IOP only after adjustment for sociodemographics and disease (OR = 1.24; 95% CI, 1.05-1.46 and β = 0.24; 95% CI, 0.12-0.37). Conclusions Increased PM2.5 is associated with glaucoma and IOP. These associations should be confirmed using longitudinal data and potential mechanisms should be explored. If confirmed, this work may have relevance for revision of World Health Organization thresholds to protect human health.
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Affiliation(s)
- Alyssa Grant
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Gareth Leung
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Marie-Josée Aubin
- Department of Ophthalmology, Université de Montréal, Montréal, Canada.,Centre universitaire d'ophtalmologie de l'Hôpital Maisonneuve-Rosemont, Montréal, Canada.,Department of Social and Preventive Medicine, ESPUM, Université de Montréal, Montréal, Canada
| | - Marie-Jeanne Kergoat
- Centre de Recherche, Institut universitaire de gériatrie de Montréal, Montréal, Canada.,Department of Medicine, Université de Montréal, Montréal, Canada
| | - Gisèle Li
- Department of Ophthalmology, Université de Montréal, Montréal, Canada.,Centre universitaire d'ophtalmologie de l'Hôpital Maisonneuve-Rosemont, Montréal, Canada
| | - Ellen E Freeman
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.,Ottawa Hospital Research Institute, Ottawa, Canada
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