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Gallardo LO, Aiger Vallés M, Cativiela-Campos B, Domingo-Valero L, Barrasa Á, Alique M, López-Granero C. Psychological repercussions of PM air pollution in human aging: a comprehensive review of urban and rural environments. Front Pharmacol 2025; 16:1517090. [PMID: 40034819 PMCID: PMC11872935 DOI: 10.3389/fphar.2025.1517090] [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: 10/25/2024] [Accepted: 01/21/2025] [Indexed: 03/05/2025] Open
Abstract
Air pollution and its effects on population health are currently among the most important public health issues. It is well established that the impact of air pollution on health is exceedingly high, although it ignores its real scope and effects on the aging process because studies on air quality have largely focused on younger age groups. Herein, we emphasize the relevance of air quality to the behavioral aging process, taking into account the place of residence - rural or urban. We raise the following question: Can air quality and residential settings modulate cognitive, emotional and social behaviors during the aging? Some studies have analyzed the role of residential settings and air pollution in the context of a behavioral frame in elderly people. Based on the analyzed literature, this revision concluded that air pollutants affect cognitive function, increasing the risk of dementia as well as depression and anxiety emotional responses. In addition, social networks and inclusion can modulate and mitigate the effects observed during the aging in rural areas that are exposed to less contamination. Although there is no consensus, it seems that some observed behavioral effects are sex-dependent, as women are more vulnerable to air pollution. Additionally, we examined why older adults are vulnerable to the health effects of Particulate Matter (PM) exposure and highlighted the importance of social health in this context. Environmental agents could be the key to understanding the susceptibility and variability observed during aging in behavioral symptoms. Although cognitive decline is related to increased age, it is not a manipulated factor. Efforts should be centered on locating factors implicated in the aging process that could be susceptible to manipulation or variation, such as the choice of the place of residence and the air that we are breathing. Given the significant societal impact of PM, research and policy regulations should be closely aligned and collaborative.
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Affiliation(s)
- Laura O. Gallardo
- Department of Psychology and Sociology, University of Zaragoza, Teruel, Spain
| | | | | | | | - Ángel Barrasa
- Department of Psychology and Sociology, University of Zaragoza, Teruel, Spain
| | - Matilde Alique
- Departamento de Biología de Sistemas, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
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Xie C, Xia X, Wang K, Yan J, Bai L, Guo L, Li X, Wu S. Ambient Air Pollution and Parkinson's Disease and Alzheimer's Disease: An Updated Meta-Analysis. TOXICS 2025; 13:139. [PMID: 39997954 PMCID: PMC11861764 DOI: 10.3390/toxics13020139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2025] [Revised: 02/11/2025] [Accepted: 02/12/2025] [Indexed: 02/26/2025]
Abstract
BACKGROUND Previous epidemiological evidence regarding the associations between ambient air pollution and two major neurodegenerative diseases, Alzheimer's disease (AD) and Parkinson's disease (PD), remains inconclusive. OBJECTIVE This study aimed to evaluate the associations between long-term and short-term exposure to PM2.5 and PM10 (i.e., particulate matter with an aerodynamic diameter of, or smaller than, 2.5 μm or 10 μm), nitrogen dioxide (NO2), ozone, sulfur dioxide, and carbon monoxide and the risks of AD and PD. METHODS A random-effects model was used to summarize individual effect estimates in the meta-analysis. A subgroup meta-analysis was further conducted to explore the potential sources of heterogeneity. RESULTS In total, 42 eligible studies were included. For each 5 μg/m3 increase in long-term PM2.5 exposure, the odds ratios (ORs) were 1.16 (95% CI: 1.04, 1.30; I2 = 95%) and 1.10 (95% CI: 1.03, 1.17; I2 = 95%) for AD and PD, respectively. For each 5 μg/m3 increase in short-term PM2.5 exposure, the OR was 1.01 (95% CI: 1.002, 1.01; I2 = 77%) for PD. For each 1 ppb increase in long-term NO2 exposure, the OR was 1.01 (95% CI: 1.0002, 1.02; I2 = 79%) for PD. CONCLUSION Ambient air pollution, particularly PM2.5, may contribute to the increased risks of neurodegenerative diseases including AD and PD.
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Affiliation(s)
- Cuiyao Xie
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (C.X.); (X.X.); (K.W.); (J.Y.); (L.B.)
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases, Ministry of Health, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an Jiaotong University, Xi’an 710061, China
| | - Xi Xia
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (C.X.); (X.X.); (K.W.); (J.Y.); (L.B.)
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases, Ministry of Health, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an Jiaotong University, Xi’an 710061, China
| | - Kai Wang
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (C.X.); (X.X.); (K.W.); (J.Y.); (L.B.)
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases, Ministry of Health, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an Jiaotong University, Xi’an 710061, China
| | - Jie Yan
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (C.X.); (X.X.); (K.W.); (J.Y.); (L.B.)
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases, Ministry of Health, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an Jiaotong University, Xi’an 710061, China
| | - Lijun Bai
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (C.X.); (X.X.); (K.W.); (J.Y.); (L.B.)
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases, Ministry of Health, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an Jiaotong University, Xi’an 710061, China
| | - Liqiong Guo
- School of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China;
- Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China
| | - Xiaoxue Li
- Disaster Medicine Research Center, Medical Innovation Research Division of the Chinese PLA General Hospital, Beijing 100853, China
- 2021RU006 Research Unit of Disaster Medicine, Chinese Academy of Medical Sciences, Beijing 100005, China
- Beijing Key Laboratory of Disaster Medicine, Beijing 100039, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (C.X.); (X.X.); (K.W.); (J.Y.); (L.B.)
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory of Trace Elements and Endemic Diseases, Ministry of Health, Xi’an Jiaotong University, Xi’an 710061, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an Jiaotong University, Xi’an 710061, China
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3
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Huang L, Hu X, Liu J, Wang J, Zhou Y, Li G, Dong G, Dong H. Air pollution is linked to cognitive decline independent of hypersensitive C-reactive protein: insights from middle-aged and older Chinese. Environ Health 2024; 23:111. [PMID: 39707297 DOI: 10.1186/s12940-024-01148-1] [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: 03/19/2024] [Accepted: 11/22/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Long-term air pollution exposure and inflammation are considered to be associated with cognitive decline. However, whether air pollution exposure related cognitive decline is dependent on inflammation remains uncertain. MATERIALS AND METHODS The present study collected data from China Health and Retirement Longitudinal Study (CHARLS) at baseline in 2011, with a follow up period in 2015. Concentration of air pollutants (particles with diameters ≤ 1.0 μm [PM1], ≤ 2.5 μm [PM2.5], ≤ 10 μm [PM10], nitrogen dioxide [NO2] and ozone [O3]) were obtained from China High Air Pollutants (CHAP) dataset. Hypersensitive C-reactive protein (hs-CRP), a systemic inflammation marker, was measured in blood of subjects and cognitive function was assessed by standardized questionnaire. RESULTS A total of 6434 participants were included in the study. Lower exposure to PM2.5, PM1, PM10 and NO2 were associated with mitigated cognitive decline. The odds ratios (ORs) for air pollutants changes and cognitive decline and 95% confidence intervals (CIs) were as follows: PM2.5-0.934(0.925, 0.943), PM1- 0.945 (0.935,0.955), PM10-0.977(0.972,0.982) and NO2-0.962(0.950,0.975), respectively. Hs-CRP showed no significant correlation with cognitive decline or change in levels of air pollution. The interaction regression analyses, both unadjusted and adjusted, did not uncover any significant correlation between hs-CRP and air pollution with respect to cognitive decline. Bootstrap test exhibited no significant mediating effect of hs-CRP on the relationship between any air pollutants and cognitive decline, the indirect effects of hs-CRP in conjunction with exposure to different air pollutants were all found to be non-significant, with the following bootstrap CIs and p-values: PM2.5-1.000([1.000,1.000], P = 0.480),PM1-1.000([1.000,1.000], P = 0.230),PM10-1.000([1.000,1.000], P = 0.650), O3-1.000([1.000,1.000], P = 0.470), ΔNO2-1.000([1.000,1.000], P = 0.830) . CONCLUSION Ambient air pollution exposure was linked to cognitive decline independent of hs-CRP level.
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Affiliation(s)
- Li Huang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Xiangming Hu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Jia Liu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Jiajia Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Guang Li
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
| | - Guanghui Dong
- Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Haojian Dong
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Nyingchi People's Hospital, Nyingchi, Tibet, 860003, China.
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Xu H, Zhou X, Xu S, Fang Z, Li C, Lv Y, Cheng K, Ren Y. Exposure to air pollution and cognitive function based on the minimum mental state examination: a systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-14. [PMID: 39427245 DOI: 10.1080/09603123.2024.2418010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 10/14/2024] [Indexed: 10/21/2024]
Abstract
Evidence regarding the cognitive effects of air pollution is inconsistent. This study aimed to quantitatively analyze the relationship between air pollutants and cognitive abilities using the Mini-Mental State Examination (MMSE). We systematically searched for studies published until July 1, 2023, and assessed heterogeneity with Cochran's Q test and I² statistics, while publication bias was evaluated using Funnel plots and Egger's test. Out of 380 studies, 17 were included in the meta-analysis. Results demonstrated significant relationship among long-term exposure to PM2.5, O3, and cognitive decline. The pooled RR of cognitive impairment per 10μg/m3 increase were 1.17 for PM2.5 and 1.07 for PM10. Furthermore, there was a significant association between cognitive decline and long-term exposure to PM2.5 (β = -0.30; I2 = 95.30%) and PM10 (β = -0.15; I2 = 87.50%). Our research suggests that long-term exposure to air pollution, especially PM2.5, is a risk factor for cognitive impairment.
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Affiliation(s)
- Hong Xu
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China
| | - Xiaocong Zhou
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Shanshan Xu
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China
| | - Zisi Fang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Chaokang Li
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China
| | - Ye Lv
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China
| | - Keyi Cheng
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China
| | - Yanjun Ren
- Department of Health Hazards Surveillance, Hangzhou Center for Disease Control and Prevention (Hangzhou Health Supervision Institution), Hangzhou, Zhejiang, China
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Li K, Ye H, Dong Z, Amujilite, Zhao M, Xu Q, Xu J. The health and economic burden of ozone pollution on Alzheimer's disease and mild cognitive impairment in China. ENVIRONMENTAL RESEARCH 2024; 259:119506. [PMID: 38944103 DOI: 10.1016/j.envres.2024.119506] [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: 05/01/2024] [Revised: 06/23/2024] [Accepted: 06/26/2024] [Indexed: 07/01/2024]
Abstract
Ozone pollution is increasingly recognized as a serious environmental threat that exacerbates dementia risks, including Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI). Amid rapid industrialization, China faces significant air quality challenges. However, there has been a scarcity of detailed studies assessing the health and economic impacts of ozone pollution on these conditions. This study aims to address this gap by utilizing the BenMap-CE tool and incorporating parameters obtained from systematic reviews of epidemiological studies, official statistics, and weighted averages, to accurately quantify the effects of ozone exposure in China. This research evaluated the health and economic burdens at both national and provincial levels, focusing on the additional impacts attributed to increased ozone levels. The results reveal that in 2023, compared to 2015, ozone pollution contributed to approximately 110,000 new cases (5.6 per 10,000) of AD and 1.6 million new cases (81.7 per 10,000) of MCI, imposing significant economic costs of about US $1200 million for AD and US $18,000 million for MCI, based on 2015 dollar values. Additionally, our projections indicate that reducing the 2023 ozone concentrations to 70 μg/m3 could significantly curb these conditions, potentially preventing over 210,000 new AD cases (10.7 per 10,000) and 2.9 million (148.1 per 10,000) MCI cases. Such reductions are projected to yield substantial economic benefits, estimated at US $2200 million for AD and US $34,000 million for MCI (2015 dollar values). These findings underscore the profound implications of ozone pollution on public health and the economy in China, highlighting the urgent need for effective ozone management strategies to mitigate these impacts.
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Affiliation(s)
- Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
| | - Hong Ye
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
| | - Ziyu Dong
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Amujilite
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Igbinigie PO, Chen R, Tang J, Dregan A, Yin J, Acharya D, Nadim R, Chen A, Bai Z, Amirabdollahian F. Association between Egg Consumption and Dementia in Chinese Adults. Nutrients 2024; 16:3340. [PMID: 39408307 PMCID: PMC11478717 DOI: 10.3390/nu16193340] [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: 08/01/2024] [Revised: 09/10/2024] [Accepted: 09/13/2024] [Indexed: 10/20/2024] Open
Abstract
BACKGROUND/OBJECTIVES The association between egg consumption and dementia is unclear. We carried out a population-based case-control study in China to determine the independent association of egg consumption with dementia. METHODS We randomly recruited 233 participants with dementia and 233 without dementia from the community health service clinics and the dementia management system in Guangzhou, China to examine their dietary intakes over the past two years and other risk factors for chronic diseases. Egg consumption was categorised by frequency as Non-consuming/ RESULTS Participants with dementia, compared to controls, were more likely to consume eggs at Monthly (15.5% vs. 8.6%) but less likely to consume at Daily (28.3% vs. 41.6%). The age-adjusted odds ratio (OR) of dementia was 1.76 (95% CI 1.10-2.84) in participants who consumed eggs Weekly and 4.34 (2.16-8.72) in Monthly consumption compared to Daily. However, no significant associations were found for those Non-consuming/ CONCLUSIONS This study suggests that Daily egg consumption could help reduce the risk of dementia, while uncertainties regarding the association of non-consuming/
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Affiliation(s)
- Precious O. Igbinigie
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
| | - Jie Tang
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China;
| | - Alexandru Dregan
- Division of Academic Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK
| | - Jiaqian Yin
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
| | - Dev Acharya
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
| | - Rizwan Nadim
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
| | - Anthony Chen
- Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
| | - Zhongliang Bai
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - Farzad Amirabdollahian
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton WV1 1LY, UK (R.C.)
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Meo SA, Shaikh N, Alotaibi M, AlWabel AA, Alqumaidi H. Effect of air pollutants particulate matter (PM 2.5, PM 10), sulfur dioxide (SO 2) and ozone (O 3) on cognitive health. Sci Rep 2024; 14:19616. [PMID: 39179784 PMCID: PMC11343771 DOI: 10.1038/s41598-024-70646-6] [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: 02/11/2024] [Accepted: 08/20/2024] [Indexed: 08/26/2024] Open
Abstract
Impaired cognitive health is the leading cause of various disabilities and disorders. Air pollution has been dramatically increasing over the last few decades and has been identified as a potential risk factor for impaired cognitive health. This study investigates the effect of air pollutants, particulate matter (PM2.5, PM10), sulfur dioxide (SO2), and ground-level ozone, on global cognitive health. The data on environmental pollutants and cognitive health were recorded from PubMed, Web of Science, Scopus, and Google Scholar. Initially, 790 articles were identified after screening for duplicates and applying the inclusion and exclusion criteria, 21 studies were included, and data was synthesized to get a pooled result. The overall results revealed that increased exposure to PM2.5 was positively and significantly associated with cognitive decline (OR 1.49; 95% CI 1.11, 1.99; p = 0.01). The risk of cognitive impairment due to PM10 (OR 1.30; 95% CI 1.00-1.70, p = 0.05), and SO2 (OR 1.39; 95% CI 1.27-1.51; p < 0.01) exposure were also significantly heightened. The study findings show that overall exposure to particulate matter PM2.5, PM10, and SO2 was associated with an increased risk of a decrease in global cognitive functions. The findings suggest that reducing levels of air pollutants could be a strategic approach to mitigate cognitive health risks in populations worldwide.
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Affiliation(s)
- Sultan Ayoub Meo
- Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
| | - Narmeen Shaikh
- College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Metib Alotaibi
- Endocrinology and Diabetes Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Abdullah Abdulziz AlWabel
- Endocrinology and Diabetes Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Hamid Alqumaidi
- Endocrinology and Diabetes Unit, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia
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8
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Peng C, Burr JA, Wu B, Li M. Hukou Status and Cognitive Function Among Older Chinese Adults: Does Support from Friends Matter? J Aging Health 2024; 36:492-503. [PMID: 37843840 DOI: 10.1177/08982643231206819] [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: 10/17/2023]
Abstract
OBJECTIVES This study examined whether older Chinese adults with different types of hukou status (government household registration system) exhibited different cognitive outcomes and whether receiving support from friends, an under-appreciated resource, helped mitigate the negative impacts of agricultural hukou status on cognitive health disparities. METHODS Using nationally representative data from the China Longitudinal Aging Social Survey, this study tested these relationships with well-validated measures. RESULTS Our results showed that older Chinese adults with agricultural hukou were more likely to have worse cognitive function than those with non-agricultural hukou. Further, friend support characteristics moderated the association between hukou status and cognitive function, whereby having better friend support was related to a weaker negative effect of agricultural hukou status on cognitive function. DISCUSSION The findings suggested that agricultural hukou status reflects the effects of accumulated disadvantage across the life course with negative consequences for late-life cognition. The cognitive health disparities between agricultural and non-agricultural residents may be reduced in the context of a higher level of friend support, supporting a stress buffering hypothesis.
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Affiliation(s)
- Changmin Peng
- Department of Gerontology, University of Massachusetts Boston, Boston, MA, USA
| | - Jeffrey A Burr
- Department of Gerontology, University of Massachusetts Boston, Boston, MA, USA
| | - Bei Wu
- Rory Meyers College of Nursing and NYU Aging Incubator, New York University, New York, NY, USA
| | - Mengting Li
- Department of Social Security, Renmin University of China, Beijing, China
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9
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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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10
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Tang J, Chen A, He F, Shipley M, Nevill A, Coe H, Hu Z, Zhang T, Kan H, Brunner E, Tao X, Chen R. Association of air pollution with dementia: a systematic review with meta-analysis including new cohort data from China. ENVIRONMENTAL RESEARCH 2023; 223:115048. [PMID: 36529331 DOI: 10.1016/j.envres.2022.115048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/25/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
It remains unclear whether a total exposure to air pollution (AP) is associated with an increased risk of dementia. Little is known on the association in low- and middle-income countries. Two cohort studies in China (in Anhui cohort 1402 older adults aged ≥ 60 followed up for 10 years; in Zhejiang cohort 6115 older adults followed up for 5 years) were conducted to examine particulate matter - PM2.5 associated with all dementia and air quality index (AQI) with Alzheimer's disease, respectively. A systematic literature review and meta-analysis was performed following worldwide literature searched until May 20, 2020 to identify 15 population-based cohort studies examining the association of AP with dementia (or any specific type of dementia) through PubMed, MEDLINE, PsycINFO, SocINDEX, CINHAL, and CNKI. The cohort studies in China showed a significantly increased relative risk (RR) of dementia in relation to AP exposure; in Anhui cohort the adjusted RR was 2.14 (95% CI 1.00-4.56) in people with PM2.5 exposure at ≥ 64.5 μg/m3 versus <63.5 μg/m3 and in Zhejiang cohort the adjusted RR was 2.28 (1.07-4.87) in AQI>90 versus ≤ 80. The systematic review revealed that all 15 studies were undertaken in high income countries/regions, with inconsistent findings. While they had reasonably good overall quality of studies, seven studies did not adjust smoking in analysis and 13 did not account for depression. Pooling all eligible data demonstrated that dementia risk increased with the total AP exposure (1.13, 1.08-1.19). Data analysis of air pollutants showed that the RR significantly increased with PM2.5 (1.06, 1.03-1.10 in 2nd tertile exposure; 1.13, 1.07-1.19 in 3rd tertile versus 1st tertile), PM10 (1.05, 0.86-1.29; 1.62, 0.60-4.36), carbon monoxide (1.69, 0.72-3.93; 1.52, 1.35-1.71), nitrogen dioxide (1.06, 1.03-1.09; 1.18, 1.10-1.28) and nitrogen oxides (1.09, 1.04-1.15; 1.26, 1.13-1.41), but not ozone. Controlling air pollution and targeting on specific pollutants would reduce dementia globally.
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Affiliation(s)
- Jie Tang
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK; Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Anthony Chen
- Faculty of Sciences and Technology, Middlesex University, UK
| | - Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Martin Shipley
- Department of Epidemiology and Public Health, University College London, UK
| | - Alan Nevill
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK
| | - Hugh Coe
- Centre for Atmospheric Science, University of Manchester, UK
| | - Zhi Hu
- School of Health Administration, Anhui Medical University, China
| | - Tao Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Haidong Kan
- School of Public Health, Fudan University, China
| | - Eric Brunner
- Department of Epidemiology and Public Health, University College London, UK
| | - Xuguang Tao
- Division of Occupational and Environmental Medicine, Johns Hopkins School of Medicine, John Hopkins University, USA
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, UK; Division of Occupational and Environmental Medicine, Johns Hopkins School of Medicine, John Hopkins University, USA.
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11
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Seaton A. Air pollution: What is it and what we must do. J R Coll Physicians Edinb 2022; 52:267-272. [DOI: 10.1177/14782715221129767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
There is widespread misunderstanding of air pollution and its effects in the media. This relates to the complexities of studying and reporting on the issue – multiple different associated pollutants and diverse reported toxic effects. This article explains what air pollution is and how it may affect health, from heart to brain. It then explains, using Scotland as an example, how pollution can be reduced to levels at which public health effects become small but that, because of its close causative link with climate change, both government action and, especially, our individual responses to the issue are still urgently necessary. The medical profession is urged to set an example by reducing personal carbon footprints.
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12
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He F, Tang J, Zhang T, Lin J, Li F, Gu X, Chen A, Nevill A, Chen R. Impact of air pollution exposure on the risk of Alzheimer's disease in China: A community-based cohort study. ENVIRONMENTAL RESEARCH 2022; 205:112318. [PMID: 34742710 DOI: 10.1016/j.envres.2021.112318] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/25/2021] [Accepted: 10/29/2021] [Indexed: 06/13/2023]
Abstract
Alzheimer's disease (AD) is the most common type of dementia. Impact of air pollution (AP) on the risk of AD is unclear. It is unknown which air pollutants are independently associated with AD and whether fish consumption mitigated the association. We carried out a community-based cohort of 6115 participants aged ≥60 years in China to examine the association of PM2.5, PM10, CO, NO2, SO2 and O3 exposure with AD, and differences in the association between people with low and high consumption of fish. The participants were randomly recruited from six counties in Zhejiang province for health survey to document socio-demographic and disease risk factors in 2014, and were followed up to diagnose AD in 2019. A total of 986 cohort members were diagnosed with AD. Based on the daily mean air pollutants monitored in 2013-2015 in the counties, participants were divided into low, middle and high AP exposure groups for subsequent analysis. The multiple adjusted odds ratio (OR) of AD in participants living with the middle and high levels of PM2.5 exposure versus the low exposure were 1.50 (95% CI 0.90-2.50) and 3.92 (2.09-7.37). The increased ORs were also with PM10 (1.74, 0.65-4.64; 3.00, 1.22-7.41) and CO (2.86, 1.32-6.20; 1.19, 0.45-3.18), but not with NO2 (0.63, 0.17-2.27; 0.95, 0.28-3.19), SO2 (0.44, 0.19-1.001; 1.21, 0.56-2.62), and O3 (0.38, 0.20-0.74; 0.50, 0.21-1.21). There were no significant interaction effects of AP with fish consumption on AD. However, participants with low consumption of fish appeared to have higher ORs in PM2.5 exposure (1.80, 1.39-2.33; 5.18, 3.93-6.82) than those high consumption (1.38, 0.78-2.47; 2.89, 1.50-5.59). Our findings of PM2.5, PM10 and CO exposure significantly increased the risk of AD and the potential mitigating effect of fish consumption on the association provide evidence for developing effective strategies for AD reduction and air pollution control.
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Affiliation(s)
- Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Jie Tang
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, UK; Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Tao Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Junfen Lin
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Fudong Li
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xue Gu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Anthony Chen
- Institute of Epidemiology and Health Care, University College London, UK
| | - Alan Nevill
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, UK
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, UK.
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13
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The pathogenic effects of particulate matter on neurodegeneration: a review. J Biomed Sci 2022; 29:15. [PMID: 35189880 PMCID: PMC8862284 DOI: 10.1186/s12929-022-00799-x] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 02/16/2022] [Indexed: 12/15/2022] Open
Abstract
The increasing amount of particulate matter (PM) in the ambient air is a pressing public health issue globally. Epidemiological studies involving data from millions of patients or volunteers have associated PM with increased risk of dementia and Alzheimer’s disease in the elderly and cognitive dysfunction and neurodegenerative pathology across all age groups, suggesting that PM may be a risk factor for neurodegenerative diseases. Neurodegenerative diseases affect an increasing population in this aging society, putting a heavy burden on economics and family. Therefore, understanding the mechanism by which PM contributes to neurodegeneration is essential to develop effective interventions. Evidence in human and animal studies suggested that PM induced neurodenegerative-like pathology including neurotoxicity, neuroinflammation, oxidative stress, and damage in blood–brain barrier and neurovascular units, which may contribute to the increased risk of neurodegeneration. Interestingly, antagonizing oxidative stress alleviated the neurotoxicity of PM, which may underlie the essential role of oxidative stress in PM’s potential effect in neurodegeneration. This review summarized up-to-date epidemiological and experimental studies on the pathogenic role of PM in neurodegenerative diseases and discussed the possible underlying mechanisms.
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14
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Wu ZH, Zhao M, Yu H, Li HD. The impact of particulate matter 2.5 on the risk of hepatocellular carcinoma: a meta-analysis. Int Arch Occup Environ Health 2021; 95:677-683. [PMID: 34654946 DOI: 10.1007/s00420-021-01773-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/16/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The convoluted element of PM2.5 may cause various biological reactions. Nowadays, few studies have indicated the long-term health effects of PM2.5 on HCC. Therefore, this meta-analysis first aims to obtain more precise estimates of the effects of PM2.5 exposure on HCC to assess the strength of the evidence. METHODS A combination of computer and manual retrieval was used to search in Medline through PubMed, EMBASE and Web of Science. Review Manager 5.3 software was used to examine the heterogeneity among the studies. RESULTS Finally, 8 qualified articles meet the inclusion criteria. The results were I2 = 0%, P > 0.1 indicating that there was no heterogeneity. The results showed that the concentration of PM2.5 increased by 10 μg/m3 was significantly correlated with liver cancer, and HR was 1.22 (95% CI 1.14-1.30, P < 0.05), indicating that maternal exposure to PM2.5 was positively correlated with liver cancer. CONCLUSIONS Our meta-analysis showed that the patients with HCC significance related to PM2.5 exposure. However, more studies investigating the combined effects of different air pollutants on HCC incidence are warranted to provide more comprehensive evidence for assessing the different levels impacts of PM2.5 exposure on HCC incidence.
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Affiliation(s)
- Zeng-Hong Wu
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Meng Zhao
- School of Life Sciences, Westlake University, Hangzhou, 310024, Zhejiang, China.,Institute of Biology, Westlake Institute for Advanced Study, Hangzhou, China
| | - Hong Yu
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Hua-Dong Li
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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15
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Weuve J, Bennett EE, Ranker L, Gianattasio KZ, Pedde M, Adar SD, Yanosky JD, Power MC. Exposure to Air Pollution in Relation to Risk of Dementia and Related Outcomes: An Updated Systematic Review of the Epidemiological Literature. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:96001. [PMID: 34558969 PMCID: PMC8462495 DOI: 10.1289/ehp8716] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 08/04/2021] [Accepted: 08/05/2021] [Indexed: 05/02/2023]
Abstract
BACKGROUND Dementia is a devastating neurologic condition that is common in older adults. We previously reviewed the epidemiological evidence examining the hypothesis that long-term exposure to air pollution affects dementia risk. Since then, the evidence base has expanded rapidly. OBJECTIVES With this update, we collectively review new and previously identified epidemiological studies on air pollution and late-life cognitive health, highlighting new developments and critically discussing the merits of the evidence. METHODS Using a registered protocol (PROSPERO 2020 CRD42020152943), we updated our literature review to capture studies published through 31 December 2020, extracted data, and conducted a bias assessment. RESULTS We identified 66 papers (49 new) for inclusion in this review. Cognitive level remained the most commonly considered outcome, and particulate matter (PM) remained the most commonly considered air pollutant. Since our prior review, exposure estimation methods in this research have improved, and more papers have looked at cognitive change, neuroimaging, and incident cognitive impairment/dementia, though methodological concerns remain common. Many studies continue to rely on administrative records to ascertain dementia, have high potential for selection bias, and adjust for putative mediating factors in primary models. A subset of 35 studies met strict quality criteria. Although high-quality studies of fine particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) and cognitive decline generally supported an adverse association, other findings related to PM 2.5 and findings related to particulate matter with aerodynamic diameter ≤ 10 μ m (PM 10 , NO 2 , and NO x ) were inconclusive, and too few papers reported findings with ozone to comment on the likely direction of association. Notably, only a few findings on dementia were included for consideration on the basis of quality criteria. DISCUSSION Strong conclusions remain elusive, although the weight of the evidence suggests an adverse association between PM 2.5 and cognitive decline. However, we note a continued need to confront methodological challenges in this line of research. https://doi.org/10.1289/EHP8716.
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Affiliation(s)
- Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Erin E. Bennett
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Lynsie Ranker
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Kan Z. Gianattasio
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Meredith Pedde
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Jeff D. Yanosky
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Melinda C. Power
- Department of Epidemiology, The George Washington University Milken Institute School of Public Health, Washington, DC, USA
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16
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Morris RH, Counsell SJ, McGonnell IM, Thornton C. Early life exposure to air pollution impacts neuronal and glial cell function leading to impaired neurodevelopment. Bioessays 2021; 43:e2000288. [PMID: 33751627 DOI: 10.1002/bies.202000288] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 02/19/2021] [Accepted: 02/23/2021] [Indexed: 11/06/2022]
Abstract
The World Health Organisation recently listed air pollution as the most significant threat to human health. Air pollution comprises particulate matter (PM), metals, black carbon and gases such as ozone (O3 ), nitrogen dioxide (NO2 ) and carbon monoxide (CO). In addition to respiratory and cardiovascular disease, PM exposure is linked with increased risk of neurodegeneration as well as neurodevelopmental impairments. Critically, studies suggest that PM crosses the placenta, making direct in utero exposure a reality. Rodent models reveal that neuroinflammation, neurotransmitter imbalance and oxidative stress are triggered following gestational/early life exposure to PM, and may be exacerbated by concomitant mitochondrial dysfunction. Gestational PM exposure (potentiated by mitochondrial impairment in the metabolically active neonatal brain) not only impacts neurodevelopment but may sensitise the brain to subsequent cognitive impairment. Having reviewed this field, we conclude that strategies are urgently required to reduce exposure to PM during this sensitive developmental period.
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Affiliation(s)
- Rebecca H Morris
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Serena J Counsell
- Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Imelda M McGonnell
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Claire Thornton
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK.,Department of Perinatal Imaging and Health, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
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