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Zhang T, Liu W, Yang T, Zhai Y, Gu X, Xu L, Li F, Wu M, Lin J. Association between ambient fine particular matter components and subsequent cognitive impairment in community-dwelling older people: a prospective cohort study from eastern China. Aging Clin Exp Res 2024; 36:150. [PMID: 39060791 PMCID: PMC11282123 DOI: 10.1007/s40520-024-02793-9] [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: 09/19/2023] [Accepted: 06/19/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Fine particular matter (PM2.5) has been associated with dementia, but limited information is available regarding the association between PM2.5 components and dementia. AIMS We aimed to identify the major components of PM2.5 that affect cognitive function to further investigate its mechanism of action, and develop a prevention strategy for dementia. METHODS In this study, we included 7804 participants aged ≥ 60 years recruited from seven counties in Zhejiang province, eastern China. The participants completed the baseline survey between 2014 and 2015, and were followed up until the end of 2020. We adopted single-component robust Poisson regression models for analyses, and estimated relative risks and 95% confidence intervals describing associations between the chemical constituents of PM2.5 exposure and incident cognitive impairment in those who were free from cognitive impairment at baseline. RESULTS Significantly positive associations were observed between sulfate, nitrate, ammonium, and organic matter in PM2.5 and incident cognitive impairment across different exposure periods; the relative risks of 10-year exposure before enrollment ranged from 1.01 to 1.02. However, we did not find a significant association between black carbon and cognitive impairment. The point estimates of the relative risk values did not change substantially after performing the sensitivity analyses. CONCLUSIONS Our findings strengthen the idea that long-term exposure to PM2.5 mass and its chemical components is associated with an elevated risk of incident cognitive impairment among older adults.
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Affiliation(s)
- Tao Zhang
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Wenfeng Liu
- Office, Changshan Center for Disease Control and Prevention, Quzhou, Zhejiang, China
| | - Tao Yang
- Office, Yuhang Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yujia Zhai
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xue Gu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Le Xu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Fudong Li
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Mengna Wu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Junfen Lin
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
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Chen S, Zhang Y, Wei J, Hao C, Wu W, Li Z, Guo T, Lin Z, Zhang W, Hao Y. Risk of stroke admission after long-term exposure to PM 1: Evidence from a large cohort in South China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 283:116720. [PMID: 39053181 DOI: 10.1016/j.ecoenv.2024.116720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 07/04/2024] [Accepted: 07/09/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND Limited attention has been paid to the health effects of long-term PM1 exposure on stroke admission. Current investigations exploring the long-term PM exposure effect are largely based on observational studies, and PM generally is not allocated randomly to participants. Using traditional regression models might confuse messaging and hinder policy recommendations for pollution control and disease prevention policies. METHODS We conducted a cohort study among 36,271 adults from one of the largest cities in China in 2015 and followed up through 2020. Hazard ratios of stroke admissions following long-term PM1 exposure were estimated via a causal inference approach, marginal structural time-varying Cox proportional hazard model, accounting for multiple confounders. Additionally, several sensitivity analyses and impact modification analyses were carried out. RESULTS AND DISCUSSION Associations with 1 μg/m3 increase in long-term PM1 were identified for total (HR, 1.079; 95 %CI, 1.012-1.151) and ischemic stroke admissions (HR, 1.092; 95 %CI, 1.018-1.171). The harmful associations varied with exposure duration, initially increasing and then decreasing. The 2-3 years cumulative exposure was associated with a 3.3-5.4 % raised risk for total stroke. For every 1 μg/m³ increase in long-term PM1 exposure, females exhibited a higher risk of both total and ischemic stroke (13 % and 16 %) than men (4 % and 5 %). Low-exposure individuals (whose annual PM1 concentrations were under the third quartile among the annual concentrations for all the participants) exhibited greater sensitivity to PM1 effects (total stroke: 1.079 vs. 1.107; ischemic stroke: 1.092 vs. 1.116). The results underline the importance of safeguarding low-exposed people in highly polluted areas and suggest that long-term PM1 exposure may increase stroke admission risk, warranting attention to vulnerable groups.
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Affiliation(s)
- Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Chun Hao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Zhiqiang Li
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Tong Guo
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Ziqiang Lin
- Department of Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, China.
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Qi J, Zhao N, Liu M, Guo Y, Fu J, Zhang Y, Wang W, Su Z, Zeng Y, Yao Y, Hu K. Long-term exposure to fine particulate matter constituents and cognitive impairment among older adults: An 18-year Chinese nationwide cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133785. [PMID: 38367441 DOI: 10.1016/j.jhazmat.2024.133785] [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: 12/06/2023] [Revised: 01/27/2024] [Accepted: 02/12/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Although growing evidence has shown independent links of long-term exposure to fine particulate matter (PM2.5) with cognitive impairment, the effects of its constituents remain unclear. This study aims to explore the associations of long-term exposure to ambient PM2.5 constituents' mixture with cognitive impairment in Chinese older adults, and to further identify the main contributor. METHODS 15,274 adults ≥ 65 years old were recruited by the Chinese Longitudinal Healthy Longevity Study (CLHLS) and followed up through 7 waves during 2000-2018. Concentrations of ambient PM2.5 and its constituents (i.e., black carbon [BC], organic matter [OM], ammonium [NH4+], sulfate [SO42-], and nitrate [NO3-]) were estimated by satellite retrievals and machine learning models. Quantile-based g-computation model was employed to assess the joint effects of a mixture of 5 PM2.5 constituents and their relative contributions to cognitive impairment. Analyses stratified by age group, sex, residence (urban vs. rural), and region (north vs. south) were performed to identify vulnerable populations. RESULTS During the average 3.03 follow-up visits (89,296.9 person-years), 4294 (28.1%) participants had developed cognitive impairment. The adjusted hazard ratio [HR] (95% confidence interval [CI]) for cognitive impairment for every quartile increase in mixture exposure to 5 PM2.5 constituents was 1.08 (1.05-1.11). BC held the largest index weight (0.69) in the positive direction in the qg-computation model, followed by OM (0.31). Subgroup analyses suggested stronger associations in younger old adults and rural residents. CONCLUSION Long-term exposure to ambient PM2.5, particularly its constituents BC and OM, is associated with an elevated risk of cognitive impairment onset among Chinese older adults.
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Affiliation(s)
- Jin Qi
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Naizhuo Zhao
- Department of Land Resource Management, School of Humanities and Law, Northeastern University, Shenyang 110004, China
| | - Minhui Liu
- School of Management, University of Science and Technology of China, Hefei 230026, China
| | - Yiwen Guo
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Jingqiao Fu
- Ocean College, Zhejiang University, Zhoushan 316021, China
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Wanjie Wang
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Zhiyang Su
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing 100871, China.
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing 100191, China.
| | - Kejia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, China.
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Wu J, Grande G, Pyko A, Laukka EJ, Pershagen G, Ögren M, Bellander T, Rizzuto D. Long-term exposure to transportation noise in relation to global cognitive decline and cognitive impairment: Results from a Swedish longitudinal cohort. ENVIRONMENT INTERNATIONAL 2024; 185:108572. [PMID: 38479058 DOI: 10.1016/j.envint.2024.108572] [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: 12/07/2023] [Revised: 02/29/2024] [Accepted: 03/08/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND AND AIMS Transportation noise is an environmental exposure with mounting evidence of adverse health effects. Besides the increased risk of cardiovascular and metabolic diseases, recent studies suggest that long-term noise exposure might accelerate cognitive decline in older age. We examined the association between transportation noise and cognitive function in a cohort of older adults. METHODS The present study is based on 2594 dementia-free participants aged 60 + years from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K). Global cognition score and CIND (cognitive impairment, no dementia) were assessed with a comprehensive neuropsychological battery at baseline and up to 16 years. Residential transportation noise resulting from road traffic, railway, and aircraft were estimated at the most exposed façade and the time-weighted average exposure was assessed. Linear mixed-effect models were used to assess the effect of long-term traffic noise exposure on the rate of change in global cognition score. Hazard ratios (HRs) and 95 % confidence intervals (CIs) of CIND by transportation noise exposure were obtained with Cox proportional hazard models. RESULTS Global cognition score decreased at an average rate of -0.041 (95 %CI -0.043, -0.039) per year. Aircraft noise was associated with a 0.007 (per 10 dB Lden; 95 %CI -0.012, -0.001) faster annual rate of decline. Global cognition score seems to be not affected by road traffic and railway noise. During the follow-up, 422 (21 %) participants developed CIND. A 10-dB Lden difference in exposure to aircraft and railway noise was associated with a 16 % (HR 1.16, 95 %CI 0.91, 1.49) and 26 % (HR 1.26, 95 %CI 1.01, 1.56) increased hazard of CIND in the multi-pollutant model, respectively. No association was found for road traffic (HR 1.00, 95 %CI 0.83, 1.21). CONCLUSIONS Transportation noise was linked to cognitive impairment and faster cognitive decline among older adults. Future studies are warranted to confirm our results.
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Affiliation(s)
- Jing Wu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 171 65, Stockholm, Sweden.
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 171 65, Stockholm, Sweden
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, 171 65, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Stockholm Region, 113 65, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 171 65, Stockholm, Sweden; Stockholm Gerontology Research Center, 113 46, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, 171 65, Stockholm, Sweden
| | - Mikael Ögren
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, 405 30, Gothenburg, Sweden; Department of Occupational and Environmental Medicine, Sahlgrenska Academy, 413 90, Gothenburg, Sweden
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institute, 171 65, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 171 65, Stockholm, Sweden; Stockholm Gerontology Research Center, 113 46, Stockholm, Sweden
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Peng H, Wang M, Wang Y, Niu Z, Suo F, Liu J, Zhou T, Yao S. The association between indoor air pollution from solid fuels and cognitive impairment: a systematic review and meta-analysis. REVIEWS ON ENVIRONMENTAL HEALTH 2024:reveh-2023-0158. [PMID: 38413202 DOI: 10.1515/reveh-2023-0158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Accepted: 01/26/2024] [Indexed: 02/29/2024]
Abstract
This study aimed to comprehensively and methodically evaluate the correlation between cognitive impairment and indoor air pollution from solid fuel used for cooking/heating. PubMed, Web of Science, EMBASE, and Cochrane Library databases were searched up to December January 2023. 13 studies from three countries with a total of 277,001 participants were enrolled. A negative correlation was discovered between solid fuel usage for cooking and total cognitive score (β=-0.73, 95 % CI: -0.90 to -0.55) and episodic memory score (β=-0.23, 95 % CI: -0.30 to -0.17). Household solid fuel usage for cooking was considerably associated with a raised risk of cognitive impairment (HR=1.31, 95 % CI: 1.09-1.57) and cognitive decline (HR=1.24, 95 % CI: 1.18-1.30). Compared to continuous solid fuel use for cooking, sustained use of clean fuel and switching from solid fuel to clean fuel were associated with a lower risk of cognitive decline (OR=0.55, 95 % CI: 0.42-0.73; OR=0.81, 95 % CI: 0.71-0.93). A negative association was found between solid fuel usage for heating and total cognitive score (β=-0.43, 95 % CI: -0.59 to -0.26) and episodic memory score (β=-0.22, 95 % CI: -0.34 to -0.10). Our research provided evidence that exposure to indoor air pollution from solid fuel is a potential cause of cognitive impairment and cognitive decline. Making the switch from solid fuels to cleaner fuels could be an important step in preventing cognitive impairment in the elderly.
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Affiliation(s)
- Hongye Peng
- 47839 Beijing University of Chinese Medicine , Beijing, China
| | - Miyuan Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Beijing, China
| | - Yichong Wang
- Digestive Disease Center, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, P.R. China
| | - Zuohu Niu
- Department of Infections, 12517 Beijing Hospital of Traditional Chinese Medicine, Capital Medical University , Beijing, China
| | - Feiya Suo
- Department of Traditional Chinese Medicine, 532949 Dongguan People's Hospital , Guangzhou, China
| | - Jixiang Liu
- 47839 Beijing University of Chinese Medicine , Beijing, China
| | - Tianhui Zhou
- 47839 Beijing University of Chinese Medicine , Beijing, China
| | - Shukun Yao
- Department of Gastroenterology, 36635 China-Japan Friendship Hospital , Beijing, China
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6
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Xie XY, Huang LY, Cheng GR, Liu D, Hu FF, Zhang JJ, Han GB, Liu XC, Wang JY, Zhou J, Zeng DY, Liu J, Nie QQ, Song D, Yu YF, Hu CL, Fu YD, Li SY, Cai C, Cui YY, Cai WY, Li YQ, Fan RJ, Wan H, Xu L, Ou YM, Chen XX, Zhou YL, Chen YS, Li JQ, Wei Z, Wu Q, Mei YF, Tan W, Song SJ, Zeng Y. Association Between Long-Term Exposure to Ambient Air Pollution and the Risk of Mild Cognitive Impairment in a Chinese Urban Area: A Case-Control Study. J Alzheimers Dis 2024; 98:941-955. [PMID: 38489185 DOI: 10.3233/jad-231186] [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] [Indexed: 03/17/2024]
Abstract
Background As a prodromal stage of dementia, significant emphasis has been placed on the identification of modifiable risks of mild cognitive impairment (MCI). Research has indicated a correlation between exposure to air pollution and cognitive function in older adults. However, few studies have examined such an association among the MCI population inChina. Objective We aimed to explore the association between air pollution exposure and MCI risk from the Hubei Memory and Aging Cohort Study. Methods We measured four pollutants from 2015 to 2018, 3 years before the cognitive assessment of the participants. Logistic regression models were employed to calculate odds ratios (ORs) to assess the relationship between air pollutants and MCI risk. Results Among 4,205 older participants, the adjusted ORs of MCI risk for the highest quartile of PM2.5, PM10, O3, and SO2 were 1.90 (1.39, 2.62), 1.77 (1.28, 2.47), 0.56 (0.42, 0.75), and 1.18 (0.87, 1.61) respectively, compared with the lowest quartile. Stratified analyses indicated that such associations were found in both males and females, but were more significant in older participants. Conclusions Our findings are consistent with the growing evidence suggesting that air pollution increases the risk of mild cognitive decline, which has considerable guiding significance for early intervention of dementia in the older population. Further studies in other populations and broader geographical areas are warranted to validate these findings.
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Affiliation(s)
- Xin-Yan Xie
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Lin-Ya Huang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Gui-Rong Cheng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Dan Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Fei-Fei Hu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jing-Jing Zhang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Gang-Bin Han
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Xiao-Chang Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Jun-Yi Wang
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Juan Zhou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - De-Yang Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Jing Liu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Qian-Qian Nie
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Dan Song
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Ya-Fu Yu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Chen-Lu Hu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Yi-Di Fu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Shi-Yue Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Cheng Cai
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Yang Cui
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Wan-Ying Cai
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Yi-Qing Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Ren-Jia Fan
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Hong Wan
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Lang Xu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Yang-Ming Ou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Xing-Xing Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yan-Ling Zhou
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Shan Chen
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Jin-Quan Li
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhen Wei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Qiong Wu
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yu-Fei Mei
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Wei Tan
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Shao-Jun Song
- Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
- Geriatric Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
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7
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Wu J, Grande G, Triolo F, Pyko A, Sjöberg L, Ljungman P, Eneroth K, Bellander T, Rizzuto D. Air pollution, social engagement, and depression in older adults: Results from a Swedish population-based cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 336:122394. [PMID: 37597733 DOI: 10.1016/j.envpol.2023.122394] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/20/2023] [Accepted: 08/14/2023] [Indexed: 08/21/2023]
Abstract
Although emerging research has investigated the relationship between outdoor air pollution and depression risk in older adults, the results remain inconclusive. We aimed to determine the relationship between long-term exposure to ambient air pollution and depression among older adults and explore whether active social engagement may modify this association. At baseline (2001-2004), 2812 depression-free older adults from Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) were included. SNAC-K is a longitudinal population-based cohort in Stockholm, Sweden. Incident depression cases occurred during 2004-2013 were ascertained using the Diagnostic and Statistical Manual of Mental Disorders 4th Edition. Air pollution [particulate matter (PM) and nitrogen oxides (NOx)] at the residency were estimated using dispersion models. Social engagement was measured as active participation in social activities (at least twice/week) or inactive (less than twice/week) in the last 12 months. The hazard ratios (HR) and 95% confidence intervals of depression from air pollution exposure of 3-year moving average before diagnosis (1-μg/m3 difference in PM2.5 and PM10, and 10-μg/m3 difference in NOx) were obtained from Cox models considering greenspace and noise. A product term of air pollutant and social activity was added to test the multiplicative interaction and attributable proportion due to interaction was calculated for assessing additive interaction. We identified 137 (4.9%) incident depression cases. Participants exposed to higher concentrations of PM2.5, NOx, and PM10 had 53% (HR:1.53 [1.22, 1.93]), 26% (HR:1.26 [1.01, 1.58]), and 7% (HR:1.07 [0.98, 1.18]) increased hazard of depression, respectively. These associations were largely attenuated in people with active social engagement (HR for PM2.5: 1.04 [0.70, 1.55]; HR for PM10: 0.98 [0.81, 1.18]; and HR for NOx: 1.09 [0.71, 1.66]). Our findings suggest long-term exposure to air pollution may be a risk factor for depression among older adults. An active social engagement might however decrease this risk.
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Affiliation(s)
- Jing Wu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Federico Triolo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Andrei Pyko
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Stockholm Region, Stockholm, Sweden
| | - Linnea Sjöberg
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd Hospital, Stockholm, Sweden
| | | | - Tom Bellander
- Institute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Stockholm Region, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
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Bennett EE, Song Z, Lynch KM, Liu C, Stapp EK, Xu X, Park ES, Ying Q, Smith RL, Stewart JD, Whitsel EA, Mosley TH, Wong DF, Liao D, Yanosky JD, Szpiro AA, Kaufman JD, Gottesman RF, Power MC. The association of long-term exposure to criteria air pollutants, fine particulate matter components, and airborne trace metals with late-life brain amyloid burden in the Atherosclerosis Risk in Communities (ARIC) study. ENVIRONMENT INTERNATIONAL 2023; 180:108200. [PMID: 37774459 PMCID: PMC10620775 DOI: 10.1016/j.envint.2023.108200] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/13/2023] [Accepted: 09/11/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND Studies suggest associations between long-term ambient air pollution exposure and outcomes related to Alzheimer's disease (AD). Whether a link exists between pollutants and brain amyloid accumulation, a biomarker of AD, is unclear. We assessed whether long-term air pollutant exposures are associated with late-life brain amyloid deposition in Atherosclerosis Risk in Communities (ARIC) study participants. METHODS We used a chemical transport model with data fusion to estimate ambient concentrations of PM2.5 and its components, NO2, NOx, O3 (24-hour and 8-hour), CO, and airborne trace metals. We linked concentrations to geocoded participant addresses and calculated 10-year mean exposures (2002 to 2011). Brain amyloid deposition was measured using florbetapir amyloid positron emission tomography (PET) scans in 346 participants without dementia in 2012-2014, and we defined amyloid positivity as a global cortical standardized uptake value ratio ≥ the sample median of 1.2. We used logistic regression models to quantify the association between amyloid positivity and each air pollutant, adjusting for putative confounders. In sensitivity analyses, we considered whether use of alternate air pollution estimation approaches impacted findings for PM2.5, NO2, NOx, and 24-hour O3. RESULTS At PET imaging, eligible participants (N = 318) had a mean age of 78 years, 56% were female, 43% were Black, and 27% had mild cognitive impairment. We did not find evidence of associations between long-term exposure to any pollutant and brain amyloid positivity in adjusted models. Findings were materially unchanged in sensitivity analyses using alternate air pollution estimation approaches for PM2.5, NO2, NOx, and 24-hour O3. CONCLUSIONS Air pollution may impact cognition and dementia independent of amyloid accumulation, though whether air pollution influences AD pathogenesis later in the disease course or at higher exposure levels deserves further consideration.
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Affiliation(s)
- Erin E Bennett
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA.
| | - Ziwei Song
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Katie M Lynch
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Chelsea Liu
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Emma K Stapp
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Xiaohui Xu
- Department of Epidemiology & Biostatistics, Texas A&M Health Science Center School of Public Health, College Station, TX, USA
| | - Eun Sug Park
- Texas A&M Transportation Institute, College Station, TX, USA
| | - Qi Ying
- Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX, USA
| | - Richard L Smith
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Thomas H Mosley
- The University of Mississippi Medical Center, Jackson, MS, USA
| | - Dean F Wong
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Duanping Liao
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Adam A Szpiro
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA; Department of Medicine, School of Medicine, University of Washington, Seattle, WA
| | - Rebecca F Gottesman
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Melinda C Power
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
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9
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Grande G, Hooshmand B, Vetrano DL, Smith DA, Refsum H, Fratiglioni L, Ljungman P, Wu J, Bellavia A, Eneroth K, Bellander T, Rizzuto D. Association of Long-term Exposure to Air Pollution and Dementia Risk: The Role of Homocysteine, Methionine, and Cardiovascular Burden. Neurology 2023; 101:e1231-e1240. [PMID: 37442622 PMCID: PMC10516275 DOI: 10.1212/wnl.0000000000207656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 06/02/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Growing evidence links air pollution with dementia risk, but the biological mechanisms are largely unknown. We investigated the role played by homocysteine (tHcy) and methionine in this association and explored whether this could be explained by cardiovascular diseases (CVDs). METHODS Data were extracted from the ongoing Swedish National study on Aging and Care in Kungsholmen (SNAC-K), a longitudinal population-based study. At baseline, 2,512 dementia-free participants were examined up to 2013 (mean follow-up: 5.18 ± 2.96 years). Two air pollutants (particulate matter ≤2.5 μm [PM2.5] and nitrogen oxides [NOx]) were assessed yearly from 1990 until 2013 using dispersion models at residential addresses. The hazard ratio of dementia over air pollution levels was estimated using Cox models adjusted for age, sex, education, smoking, socioeconomic status, physical activity, retirement age, creatinine, year of assessment, and the use of supplements. The total effect of air pollutants on dementia was decomposed into 4 pathways involving tHcy/methionine: (1) direct effect; (2) indirect effect (mediation); (3) effect due to interaction; and (4) effect due to both mediation and interaction. To test whether the association was independent from CVDs (ischemic heart disease, atrial fibrillation, heart failure, and stroke), we repeated the analyses excluding those individuals who developed CVDs. RESULTS The mean age of the study participants was 73.4 years (SD: 10.4), and 62.1% were female individuals. During an average period of 5 years (mean: 5.18; SD: 2.96 years), 376 cases with incident dementia were identified. There was a 70% increased hazard of dementia per unit increase of PM2.5 during the 5 years before baseline (hazard ratio [HR]: 1.71; 95% CI 1.33-2.09). Overall, 50% (51.6%; 95% CI 9.0-94.1) of the total effect of PM2.5 on dementia was due to mediation of tHcy (6.6%; 95% CI 1.6-11.6) and/or interaction (47.8%; 95% CI 4.9-91.7) with tHcy and 48.4% (p = 0.03) to the direct effect of PM2.5 on dementia. High levels of methionine reduced the dementia hazard linked to PM2.5 by 31% (HR: 0.69; 95% CI 0.56-0.85) with 24.8% attributable to the interaction with methionine and 25.9% (p = 0.001) to the direct effect of PM2.5. No mediation effect was found through methionine. Attenuated results were obtained for NOx. Findings for tHcy were attenuated after excluding those who developed CVDs, while remained similar for methionine. DISCUSSION High levels of homocysteine enhanced the dementia risk attributed to air pollution, while high methionine concentrations reduced this risk. The impact of homocysteine on cardiovascular conditions partly explains this association. Alternative pathways other than cardiovascular mechanisms may be at play between methionine and dementia.
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Affiliation(s)
- Giulia Grande
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden.
| | - Babak Hooshmand
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Davide Liborio Vetrano
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - David A Smith
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Helga Refsum
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Laura Fratiglioni
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Petter Ljungman
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Jing Wu
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Andrea Bellavia
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Kristina Eneroth
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Tom Bellander
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
| | - Debora Rizzuto
- From the Aging Research Center (G.G., B.H., D.L.V., L.F., J.W., D.R.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden; Department of Clinical Geriatrics (B.H.), Klinikum Ingolstadt, Germany; Stockholm Gerontology Research Centre (D.L.V., L.F., D.R.), Sweden; OPTIMA (D.S., H.R.), Department of Pharmacology, University of Oxford, United Kingdom; Department of Nutrition (H.R.), Institute of Basic Medical Sciences University of Oslo, Norway; Institute of Environmental Medicine (IMM) (P.L., T.B.), Karolinska Institutet; Department of Cardiology (P.L.), Danderyd Hospital, Stockholm, Sweden; Department of Environmental Health (A.B.), Harvard T.H. Chan School of Public Health, Boston, MA; and Environment and Health Administration (K.E.), City of Stockholm, Sweden
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10
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Ogurtsova K, Soppa VJ, Weimar C, Jöckel KH, Jokisch M, Hoffmann B. Association of long-term air pollution and ambient noise with cognitive decline in the heinz nixdorf recall study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023:121898. [PMID: 37244536 DOI: 10.1016/j.envpol.2023.121898] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/12/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023]
Abstract
Little is known about the impact of long-term ambient air pollution (AP) and noise exposure on change in cognitive function over years in the elderly. In this study, we wanted to examine the association between long-term exposure to AP and noise with the rate of cognitive decline in a population aged 50 and older and susceptible groups with mild cognitive impairment or at a genetically higher risk of Alzheimer's disease (Apolipoprotein E ε4 positive). Participants in the German population-based Heinz Nixdorf Recall study carried out five neuropsychological tests. Individual tests scores at the first (T1 = 2006-2008) and second (T2 = 2011-2015) follow-up for each test were used as outcomes after standardization using predicted means adjusted for age and education. Global cognitive score (GCS) was defined as sum of five standardized scores of individual tests. Long-term exposures to particulate matter (PM2.5, PM10, PM2.5 absorbance), accumulation mode particle number (PNacc), a proxy of ultrafine particles, and nitrogen dioxide were estimated by the land-use regression and chemistry transport models. Noise exposures were assessed as outdoor weighted nighttime road traffic noise (Lnight) means. We performed linear regression analyses adjusted for sex, age, individual and neighborhood socio-economic status, and lifestyle variables. Effect modification in vulnerable groups was estimated using multiplicative interaction terms between exposure and a modifier. Overall, 2554 participants (49.5% men, median age is 63 (IQR = 12)) were included. We found weak associations between higher exposure to PM10 and PM2.5 with faster decline in the immediate verbal memory test. Adjustment for potential confounders and for co-exposures did not change the results. We saw no effects on GCS, and no effect of noise exposure. In susceptible groups, higher AP and noise exposure were tended to be associated with faster decline in GCS. Our results suggest that AP exposure may accelerate cognitive decline in older ages, particularly in susceptible groups.
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Affiliation(s)
- Katherine Ogurtsova
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
| | - Vanessa J Soppa
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Weimar
- BDH Clinic Elzach, Elzach, Germany; Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Martha Jokisch
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Barbara Hoffmann
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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11
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Urbano T, Chiari A, Malagoli C, Cherubini A, Bedin R, Costanzini S, Teggi S, Maffeis G, Vinceti M, Filippini T. Particulate matter exposure from motorized traffic and risk of conversion from mild cognitive impairment to dementia: An Italian prospective cohort study. ENVIRONMENTAL RESEARCH 2023; 222:115425. [PMID: 36740156 DOI: 10.1016/j.envres.2023.115425] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Based on epidemiologic and laboratory studies, exposure to air pollutants has been linked to many adverse health effects including a higher risk of dementia. In this study, we aimed to evaluate the effect of long-term exposure to outdoor air pollution on risk of conversion to dementia in a cohort of subjects with mild cognitive impairment (MCI). METHODS We recruited 53 Italian subjects newly-diagnosed with MCI. Within a geographical information system, we assessed recent outdoor air pollutant exposure, by modeling air levels of particulate matter with equivalent aerodynamic diameter ≤10 μm (PM10) from motorized traffic at participants' residence. We investigated the relation of PM10 concentrations to subsequent conversion from MCI to any type of dementia. Using a Cox-proportional hazards model combined with a restricted cubic spline model, we computed the hazard ratio (HR) of dementia with its 95% confidence interval (CI) according to increasing PM10 exposure, adjusting for sex, age, and educational attainment. RESULTS During a median follow up of 47.3 months, 34 participants developed dementia, in 26 cases diagnosed as Alzheimer's dementia. In non-linear restricted spline regression analysis, mean and maximum annual PM10 levels positively correlated with cerebrospinal fluid total and phosphorylated tau proteins concentrations, while they were inversely associated with β-amyloid. Concerning the risk of dementia, we found a positive association starting from above 10 μg/m3 for mean PM10 levels and above 35 μg/m3 for maximum PM10 levels. Specific estimates for Alzheimer's dementia were substantially similar. Adding other potential confounders to the multivariable model or removing early cases of dementia onset during the follow-up had little effect on the estimates. CONCLUSIONS Our findings suggest that exposure to outdoor air pollutants, PM10 in particular, may non-linearly increase conversion from MCI to dementia above a certain ambient air concentration.
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Affiliation(s)
- Teresa Urbano
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Annalisa Chiari
- Neurology Unit, University Hospital of Modena, Modena, Italy
| | - Carlotta Malagoli
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Roberta Bedin
- Neurology Unit, University Hospital of Modena, Modena, Italy; Center for Neurosciences and Neurotechnology, Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Sofia Costanzini
- DIEF - Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Modena, Italy
| | - Sergio Teggi
- DIEF - Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Modena, Italy
| | | | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; School of Public Health, University of California Berkeley, Berkeley, CA, USA
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12
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Yang Z, Qi Y, Song Q, Zhang Y. Association between exposure to air pollution and memory: the mediating effect of health. J Public Health (Oxf) 2023. [DOI: 10.1007/s10389-023-01875-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
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13
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Yu Y, Su J, Jerrett M, Paul KC, Lee E, Shih IF, Haan M, Ritz B. Air pollution and traffic noise interact to affect cognitive health in older Mexican Americans. ENVIRONMENT INTERNATIONAL 2023; 173:107810. [PMID: 36870315 PMCID: PMC11121505 DOI: 10.1016/j.envint.2023.107810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 02/04/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Both air pollution and noise exposures have separately been shown to affect cognitive impairment. Here, we examine how air pollution and noise exposures interact to influence the development of incident dementia or cognitive impairment without dementia (CIND). METHODS We used 1,612 Mexican American participants from the Sacramento Area Latino Study on Aging conducted from 1998 to 2007. Air pollution (nitrogen dioxides, particulate matter, ozone) and noise exposure levels were modeled with a land-use regression and via the SoundPLAN software package implemented with the Traffic Noise Model applied to the greater Sacramento area, respectively. Using Cox proportional hazard models, we estimated the hazard of incident dementia or CIND from air pollution exposure at the residence up to 5-years prior to diagnosis for the members of each risk set at event time. Further, we investigated whether noise exposure modified the association between air pollution exposure and dementia or CIND. RESULTS In total, 104 incident dementia and 159 incident dementia/CIND cases were identified during the 10 years of follow-up. For each ∼2 µg/m3 increase in time-varying 1- and 5-year average PM2.5 exposure, the hazard of dementia increased 33% (HR = 1.33, 95%CI: 1.00, 1.76). The hazard ratios for NO2-related dementia/CIND and PM2.5-related dementia were stronger in high-noise (≥65 dB) exposed than low-noise (<65 dB) exposed participants. CONCLUSION Our study indicates that PM2.5 and NO2 air pollution adversely affect cognition in elderly Mexican Americans. Our findings also suggest that air pollutants may interact with traffic-related noise exposure to affect cognitive function in vulnerable populations.
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Affiliation(s)
- Yu Yu
- Center for Health Policy Research, University of California Los Angeles, California, USA; Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, California, USA
| | - Jason Su
- Division of Environmental Health Sciences, School of Public Health, University of California Berkeley, California, USA
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, California, USA
| | - Kimberly C Paul
- Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, California, USA
| | - Eunice Lee
- Division of Environmental Health Sciences, School of Public Health, University of California Berkeley, California, USA
| | - I-Fan Shih
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, California, USA
| | - Mary Haan
- Department of Epidemiology & Biostatistics, University of California San Francisco, California, USA
| | - Beate Ritz
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, California, USA; Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, California, USA; Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, California, USA.
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14
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Gong Y, Zhang X, Zhao X, Chang H, Zhang J, Gao Z, Mi Y, Chen Y, Zhang H, Huang C, Yu Z. Global ambient particulate matter pollution and neurodegenerative disorders: a systematic review of literature and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:39418-39430. [PMID: 36763275 DOI: 10.1007/s11356-023-25731-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Previous studies on particulate matter (PM) exposure and neurodegenerative disorders showed inconsistent results, and few studies systematically examined the long-term effect of PM on neurodegenerative diseases, including all-cause dementia, Alzheimer's disease, Parkinson's disease, vascular dementia, amyotrophic lateral sclerosis, and cognitive function decline. We systematically searched for published studies in PubMed, Embase, Cochrane Library, and Web of Science up to October 31, 2022. To facilitate a comparison of effect sizes from different studies, we standardized units across studies to a 10 μg/m3 increase for PM. Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression, and sensitivity analysis were performed. The protocol for this review was registered with PROSPERO (CRD42021277112). Of the 3403 originally identified studies, a meta-analysis was finally performed in 49 studies. The results showed that there was a significant positive association between long-term PM2.5 exposure and all-cause dementia, Alzheimer's disease as well as Parkinson's disease, with pooled OR of 1.30 (95%CI: 1.14, 1.47, I2 = 99.3%), 1.65 (95%CI: 1.37, 1.94, I2 = 98.2%), and 1.17 (95%CI: 1.00, 1.33, I2 = 91.8%). A positive association between PM10 and vascular dementia was observed (OR = 1.12, 95%CI: 1.04, 1.21, I2 = 0.0%). Association between PM exposure and decreased cognitive function score was found. Our results highlight the important role of PM pollution, particularly PM2.5, in the risk of age-related neurodegenerative diseases and cognitive function decline.
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Affiliation(s)
- Yuting Gong
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yang Mi
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yao Chen
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.,NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
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15
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Andersen ZJ, Zhang J, Jørgensen JT, Samoli E, Liu S, Chen J, Strak M, Wolf K, Weinmayr G, Rodopolou S, Remfry E, de Hoogh K, Bellander T, Brandt J, Concin H, Zitt E, Fecht D, Forastiere F, Gulliver J, Hoffmann B, Hvidtfeldt UA, Monique Verschuren WM, Jöckel KH, So R, Cole-Hunter T, Mehta AJ, Mortensen LH, Ketzel M, Lager A, Leander K, Ljungman P, Severi G, Boutron-Ruault MC, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, van der Schouw YT, Schramm S, Stafoggia M, Katsouyanni K, Brunekreef B, Hoek G, Lim YH. Long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in a large pooled European cohort: ELAPSE study. ENVIRONMENT INTERNATIONAL 2022; 170:107581. [PMID: 36244228 DOI: 10.1016/j.envint.2022.107581] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 10/04/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Ambient air pollution is an established risk factor for premature mortality from chronic cardiovascular, respiratory and metabolic diseases, while evidence on neurodegenerative diseases and psychiatric disorders remains limited. We examined the association between long-term exposure to air pollution and mortality from dementia, psychiatric disorders, and suicide in seven European cohorts. Within the multicenter project 'Effects of Low-Level Air Pollution: A Study in Europe' (ELAPSE), we pooled data from seven European cohorts from six countries. Based on the residential addresses, annual mean levels of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC), ozone (O3), and 8 PM2.5 components were estimated using Europe-wide hybrid land-use regression models. We applied stratified Cox proportional hazard models to investigate the associations between air pollution and mortality from dementia, psychiatric disorders, and suicide. Of 271,720 participants, 900 died from dementia, 241 from psychiatric disorders, and 164 from suicide, during a mean follow-up of 19.7 years. In fully adjusted models, we observed positive associations of NO2 (hazard ratio [HR] = 1.38; 95 % confidence interval [CI]: 1.13, 1.70 per 10 µg/m3), PM2.5 (HR = 1.29; 95 % CI: 0.98, 1.71 per 5 µg/m3), and BC (HR = 1.37; 95 % CI: 1.11, 1.69 per 0.5 × 10-5/m) with psychiatric disorders mortality, as well as with suicide (NO2: HR = 1.13 [95 % CI: 0.92, 1.38]; PM2.5: HR = 1.19 [95 % CI: 0.76, 1.87]; BC: HR = 1.08 [95 % CI: 0.87, 1.35]), and no association with dementia mortality. We did not detect any positive associations of O3 and 8 PM2.5 components with any of the three mortality outcomes. Long-term exposure to NO2, PM2.5, and BC may lead to premature mortality from psychiatric disorders and suicide.
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Affiliation(s)
- Zorana J Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jiawei Zhang
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jeanette T Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Sophia Rodopolou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Elizabeth Remfry
- Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate, Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Hans Concin
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy; Science Policy & Epidemiology Environmental Research Group, King's College London, London, United Kingdom
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Rina So
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Cole-Hunter
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Amar J Mehta
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Laust H Mortensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Statistics Denmark, Copenhagen, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805 Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy
| | - Marie-Christine Boutron-Ruault
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805 Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Ludwig Maximilians Universität München, München, Germany
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Rome, Italy
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Science Policy & Epidemiology Environmental Research Group, King's College London, London, United Kingdom
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Youn-Hee Lim
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
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16
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Ricciardi E, Spano G, Lopez A, Tinella L, Clemente C, Elia G, Dadvand P, Sanesi G, Bosco A, Caffò AO. Long-Term Exposure to Greenspace and Cognitive Function during the Lifespan: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811700. [PMID: 36141977 PMCID: PMC9517665 DOI: 10.3390/ijerph191811700] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/09/2022] [Accepted: 09/13/2022] [Indexed: 05/13/2023]
Abstract
Recent advances in environmental psychology highlighted the beneficial role of greenspace exposure on cognition. We conducted a systematic review of the available studies on the association of long-term exposure to greenspace and cognitive functions across the lifespan. PRISMA guidelines and the PECOs method were applied to screen for eligible studies. Twenty-five studies from Scopus, PubMed, and PsycINFO met the inclusion criteria. Six studies were longitudinal and nineteen cross-sectional. Fifteen studies focused on schoolchildren, six studies on adults, and four on the elderly. Twenty studies used the NDVI to assess greenspace exposure and the remaining used other indexes. Eight studies employed academic achievement as the outcome, eight studies global cognition, six studies attention/executive functions, and three studies memory. The evidence was inconsistent but suggestive for a beneficial role of greenspace exposure on cognitive functions. Further studies are required, especially among adults and older people, by adopting longitudinal designs.
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Affiliation(s)
- Elisabetta Ricciardi
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
| | - Giuseppina Spano
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
- Department of Agricultural and Environmental Sciences, University of Studies of Bari, 70126 Bari, Italy
| | - Antonella Lopez
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
- Faculty of Law, Giustino Fortunato University, 82100 Benevento, Italy
| | - Luigi Tinella
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
| | - Carmine Clemente
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
| | - Giuseppe Elia
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
| | - Payam Dadvand
- Barcelona Institute for Global Health, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- CIBER Epidemiologíay Salud Publica (CIBERESP), 28029 Madrid, Spain
| | - Giovanni Sanesi
- Department of Agricultural and Environmental Sciences, University of Studies of Bari, 70126 Bari, Italy
| | - Andrea Bosco
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
| | - Alessandro Oronzo Caffò
- Department of Educational Sciences, Psychology, Communication, University of Studies of Bari, 70122 Bari, Italy
- Correspondence:
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17
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Ma YH, Chen HS, Liu C, Feng QS, Feng L, Zhang YR, Hu H, Dong Q, Tan L, Kan HD, Zhang C, Suckling J, Zeng Y, Chen RJ, Yu JT. Association of Long-term Exposure to Ambient Air Pollution With Cognitive Decline and Alzheimer's Disease-Related Amyloidosis. Biol Psychiatry 2022; 93:780-789. [PMID: 35953319 DOI: 10.1016/j.biopsych.2022.05.017] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/26/2022] [Accepted: 05/02/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Air pollution induces neurotoxic reactions and may exert adverse effects on cognitive health. We aimed to investigate whether air pollutants accelerate cognitive decline and affect neurobiological signatures of Alzheimer's disease (AD). METHODS We used a population-based cohort from the Chinese Longitudinal Healthy Longevity Survey with 31,573 participants and a 10-year follow-up (5878 cognitively unimpaired individuals in Chinese Longitudinal Healthy Longevity Survey followed for 5.95 ± 2.87 years), and biomarker-based data from the Chinese Alzheimer's Biomarker and Lifestyle study including 1131 participants who underwent cerebrospinal fluid measurements of AD-related amyloid-β (Aβ) and tau proteins. Cognitive impairment was determined by education-corrected performance on the China-Modified Mini-Mental State Examination. Annual exposures to fine particulate matter (PM2.5), ground-level ozone (O3), and nitrogen dioxide (NO2) were estimated at areas of residence. Exposures were aggregated as 2-year averages preceding enrollments using Cox proportional hazards or linear models. RESULTS Long-term exposure to PM2.5 (per 20 μg/m3) increased the risk of cognitive impairment (hazard ratio, 1.100; 95% CI: 1.026-1.180), and similar associations were observed from separate cross-sectional analyses. Exposures to O3 and NO2 yielded elevated risk but with nonsignificant estimates. Individuals exposed to high PM2.5 manifested increased amyloid burdens as reflected by cerebrospinal fluid-AD biomarkers. Moreover, PM2.5 exposure-associated decline in global cognition was partly explained by amyloid pathology as measured by cerebrospinal fluid-Aβ42/Aβ40, P-tau/Aβ42, and T-tau/Aβ42, with mediation proportions ranging from 16.95% to 21.64%. CONCLUSIONS Long-term exposure to PM2.5 contributed to the development of cognitive decline, which may be partly explained by brain amyloid accumulation indicative of increased AD risk.
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Affiliation(s)
- Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China; Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hua-Shuai Chen
- School of Business, Xiangtan University, Xiangtan, Hunan, China
| | - Cong Liu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Qiu-Shi Feng
- Department of Sociology, National University of Singapore, Singapore
| | - Lei Feng
- Department of Psychological Medicine and Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Centre for Healthy Longevity, National University Health System, Singapore
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hao Hu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Hai-Dong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Can Zhang
- Genetics and Aging Research Unit, McCance Center for Brain Health, Mass General Institute for Neurodegenerative Diseases, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Yi Zeng
- Center for the Study of Aging and Human Development, Medical School of Duke University, Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China
| | - Ren-Jie Chen
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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