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Kokubun K, Nemoto K, Ikaga T, Yamakawa Y. Whole-brain gray matter volume and fractional anisotropy of the posterior thalamic radiation and sagittal stratum in healthy adults correlate with the local environment. Neuroimage 2025; 308:121033. [PMID: 39870260 DOI: 10.1016/j.neuroimage.2025.121033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Revised: 01/14/2025] [Accepted: 01/16/2025] [Indexed: 01/29/2025] Open
Abstract
The impacts of air pollution, local climate, and urbanization on human health have been well-documented in recent studies. In this study, we combined magnetic resonance imaging (MRI) brain analysis with a questionnaire survey on the local environment in 141 healthy middle-aged men and women. Our findings reveal that a favorable environment is positively correlated with gray matter volume (GMV) in the frontal and occipital lobes, cerebellum, and whole brain, as well as with fractional anisotropy (FA) in the fornix (including the fornix stria terminalis), posterior thalamic radiation (PTR), sagittal stratum (SS), and whole brain. Among these, significant correlations between the local environment and whole-brain and cerebellar GMV, PTR, and SS FA remained after Bonferroni correction. Additionally, the positive relationship between the local environment and whole-brain GMV was further supported by principal component analysis (PCA). This is the first study to demonstrate that healthy adult brain structure, as indicated by GMV and FA values, can be influenced by the local environment.
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Affiliation(s)
- Keisuke Kokubun
- Open Innovation Institute, Kyoto University, Kyoto, Japan; Graduate School of Management, Kyoto University, Kyoto, Japan.
| | - Kiyotaka Nemoto
- Department of Psychiatry, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Toshiharu Ikaga
- Institute for Built Environment and Carbon Neutral for SDGs, Chiyoda, Tokyo, Japan
| | - Yoshinori Yamakawa
- Open Innovation Institute, Kyoto University, Kyoto, Japan; Graduate School of Management, Kyoto University, Kyoto, Japan; Institute of Innovative Research, Tokyo Institute of Technology, Meguro, Tokyo, Japan; ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), Chiyoda, Tokyo, Japan; Office for Academic and Industrial Innovation, Kobe University, Kobe, Japan; Brain Impact, Kyoto, Japan
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Li L, Cheng W, Wang W, Dong G, Liang L. U-shaped association between residential greenness and keratoconus. ENVIRONMENTAL RESEARCH 2025; 267:120682. [PMID: 39710239 DOI: 10.1016/j.envres.2024.120682] [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: 08/11/2024] [Revised: 12/15/2024] [Accepted: 12/19/2024] [Indexed: 12/24/2024]
Abstract
Keratoconus is a blinding corneal disorder influenced by genetic factors. Whether environmental factors influence it remains unclear. Here, we observed a U-shaped association between residential greenness and keratoconus, with increased odds ratios (ORs) at low and high greenness levels. In the Chinese Environment-Ocular Surface (EOS) study, a case-control study of 4341 keratoconus and 3723 controls, the multivariate-adjusted ORs [95% confidence intervals (CIs)] of keratoconus associated with the lowest quartile and the highest quartile of residential greenness were 1.33 (1.23, 1.55) and 1.54 (1.37, 1.72) compared with the intermediate quartile, respectively. In spline analysis, the U-shaped association was consistently indicated, with the lowest odds of keratoconus at the 300 m buffer normalized difference vegetation index (NDVI) of 0.42. Specifically, the association was more pronounced for male, younger (<24 years), and urban-dwelling participants. Urban residents tend to benefit from increased greenness, whereas others may experience adverse effects due to hazards associated with high levels of residential greenness. The association was further validated in a prospective cohort of 502,367 participants from the United Kingdom Biobank (UKB). The results showed that participants with the first quartile residential greenness were 1.8 times (1.12, 2.91) more likely to develop keratoconus than those with intermediate greenness. The results suggested a U-shaped association between residential greenness and keratoconus; both low and high levels of residential greenness were associated with higher odds of keratoconus.
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Affiliation(s)
- Longyue Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Weijing Cheng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
| | - Guanghui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
| | - Lingyi Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
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Shang X, Wang W, Tian L, Shi D, Huang Y, Zhang X, Zhu Z, Zhang X, Liu J, Tang S, Hu Y, Ge Z, Yu H, He M. Association of greenspace and natural environment with brain volumes mediated by lifestyle and biomarkers among urban residents. Arch Gerontol Geriatr 2024; 126:105546. [PMID: 38941948 DOI: 10.1016/j.archger.2024.105546] [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: 04/24/2024] [Revised: 05/28/2024] [Accepted: 06/22/2024] [Indexed: 06/30/2024]
Abstract
OBJECTIVES To examine the associaiton between environmental measures and brain volumes and its potential mediators. STUDY DESIGN This was a prospective study. METHODS Our analysis included 34,454 participants (53.4% females) aged 40-73 years at baseline (between 2006 and 2010) from the UK Biobank. Brain volumes were measured using magnetic resonance imaging between 2014 and 2019. RESULTS Greater proximity to greenspace buffered at 1000 m at baseline was associated with larger volumes of total brain measured 8.8 years after baseline assessment (standardized β (95% CI) for each 10% increment in coverage: 0.013(0.005,0.020)), grey matter (0.013(0.006,0.020)), and white matter (0.011(0.004,0.017)) after adjustment for covariates and air pollution. The corresponding numbers for natural environment buffered at 1000 m were 0.010 (0.004,0.017), 0.009 (0.004,0.015), and 0.010 (0.004,0.016), respectively. Similar results were observed for greenspace and natural environment buffered at 300 m. The strongest mediator for the association between greenspace buffered at 1000 m and total brain volume was smoking (percentage (95% CI) of total variance explained: 7.9% (5.5-11.4%)) followed by mean sphered cell volume (3.3% (1.8-5.8%)), vitamin D (2.9% (1.6-5.1%)), and creatinine in blood (2.7% (1.6-4.7%)). Significant mediators combined explained 18.5% (13.2-25.3%) of the association with total brain volume and 32.9% (95% CI: 22.3-45.7%) of the association with grey matter volume. The percentage (95% CI) of the association between natural environment and total brain volume explained by significant mediators combined was 20.6% (14.7-28.1%)). CONCLUSIONS Higher coverage percentage of greenspace and environment may benefit brain health by promoting healthy lifestyle and improving biomarkers including vitamin D and red blood cell indices.
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Affiliation(s)
- Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC 3002, Australia; Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC 3050, Australia; School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, PR China
| | - Le Tian
- Comprehensive department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, PR China
| | - Danli Shi
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, PR China; School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China; Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China
| | - Yu Huang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
| | - Xueli Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
| | - Zhuoting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC 3002, Australia
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
| | - Jiahao Liu
- Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC 3002, Australia
| | - Shulin Tang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC 3800, Australia
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China.
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; Centre for Eye Research Australia, University of Melbourne, Melbourne, VIC 3002, Australia; State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, PR China; School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China; Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China.
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4
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Pan Z, Cao M, Han X, Guo J, Huang D, Sun W, Mi J, Liu Y, Xue T, Guan T. Association between exposure to greenspace and ECG abnormalities in China: a nationwide longitudinal study. BMC Public Health 2024; 24:2914. [PMID: 39434068 PMCID: PMC11494809 DOI: 10.1186/s12889-024-20352-9] [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: 10/23/2023] [Accepted: 10/09/2024] [Indexed: 10/23/2024] Open
Abstract
BACKGROUND Greenspace is an important modifiable environmental factor that is associated with health and well-being. Although previous research has shown that exposure to greenspace is beneficial for cardiovascular diseases, studies have rarely focused on early subclinical health outcomes such as electrocardiogram (ECG) abnormality. METHODS We developed a longitudinal study using data from the China National Stroke Screening Survey (2013-2019). Monthly exposure to greenspace was assessed by the Normalized Difference Vegetation Index (NDVI) values. ECG abnormality was diagnosed by physicians based on the results of the 12-lead electrocardiogram. We used fixed-effects logistic regression with participant-specific intercepts to estimate the association between exposure to greenspace and ECG abnormalities. RESULTS A total of 132,108 visits from 61,029 participants with ≥ 2 ECG measurements were included. At baseline, the lag-1 month average NDVI value was 0.29 (SD = 0.15). In the fully adjusted model, per 0.1-unit increment in lag-1 month average NDVI value was associated with a 3.0% (95% CI -1.6 ∼ 7.4%) decreased risk of ECG abnormality. In urban areas, the decreased risk associated with per 0.1-unit increment in NDVI was 14.81% (95% CI 9.38 ∼ 19.92%). CONCLUSION Our study found that higher exposure to greenspace was associated with a decreased risk of ECG abnormality, especially in urban areas. Our findings suggested that monthly exposure to greenspace might be beneficial to cardiovascular health, and greenspace provision and maintenance could be considered an important public health intervention in urban planning.
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Affiliation(s)
- Zhaoyang Pan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Man Cao
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Xueyan Han
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Jian Guo
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Dengmin Huang
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Wei Sun
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Jiarun Mi
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Yuanli Liu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Tao Xue
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China.
| | - Tianjia Guan
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
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Mizen A, Thompson DA, Watkins A, Akbari A, Garrett JK, Geary R, Lovell R, Lyons RA, Nieuwenhuijsen M, Parker SC, Rowney FM, Song J, Stratton G, Wheeler BW, White J, White MP, Williams S, Rodgers SE, Fry R. The use of Enhanced Vegetation Index for assessing access to different types of green space in epidemiological studies. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:753-760. [PMID: 38424359 PMCID: PMC11446865 DOI: 10.1038/s41370-024-00650-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 01/24/2024] [Accepted: 01/24/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Exposure to green space can protect against poor health through a variety of mechanisms. However, there is heterogeneity in methodological approaches to exposure assessments which makes creating effective policy recommendations challenging. OBJECTIVE Critically evaluate the use of a satellite-derived exposure metric, the Enhanced Vegetation Index (EVI), for assessing access to different types of green space in epidemiological studies. METHODS We used Landsat 5-8 (30 m resolution) to calculate average EVI for a 300 m radius surrounding 1.4 million households in Wales, UK for 2018. We calculated two additional measures using topographic vector data to represent access to green spaces within 300 m of household locations. The two topographic vector-based measures were total green space area stratified by type and average private garden size. We used linear regression models to test whether EVI could discriminate between publicly accessible and private green space and Pearson correlation to test associations between EVI and green space types. RESULTS Mean EVI for a 300 m radius surrounding households in Wales was 0.28 (IQR = 0.12). Total green space area and average private garden size were significantly positively associated with corresponding EVI measures (β = < 0.0001, 95% CI: 0.0000, 0.0000; β = 0.0001, 95% CI: 0.0001, 0.0001 respectively). In urban areas, as average garden size increases by 1 m2, EVI increases by 0.0002. Therefore, in urban areas, to see a 0.1 unit increase in EVI index score, garden size would need to increase by 500 m2. The very small β values represent no 'measurable real-world' associations. When stratified by type, we observed no strong associations between greenspace and EVI. IMPACT It is a widely implemented assumption in epidiological studies that an increase in EVI is equivalent to an increase in greenness and/or green space. We used linear regression models to test associations between EVI and potential sources of green reflectance at a neighbourhood level using satellite imagery from 2018. We compared EVI measures with a 'gold standard' vector-based dataset that defines publicly accessible and private green spaces. We found that EVI should be interpreted with care as a greater EVI score does not necessarily mean greater access to publicly available green spaces in the hyperlocal environment.
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Affiliation(s)
- Amy Mizen
- Swansea University Medical School, Swansea University, Swansea, UK.
| | | | - Alan Watkins
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Ashley Akbari
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Joanne K Garrett
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Rebecca Geary
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | - Rebecca Lovell
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - Ronan A Lyons
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sarah C Parker
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Francis M Rowney
- School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK
| | | | - Gareth Stratton
- ASTEM Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, UK
| | - Benedict W Wheeler
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
| | - James White
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK
| | - Mathew P White
- European Centre for Environment and Human Health, University of Exeter Medical School, University of Exeter, Truro, UK
- Cognitive Science Hub, University of Vienna, Vienna, Austria
| | | | - Sarah E Rodgers
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | - Richard Fry
- Swansea University Medical School, Swansea University, Swansea, UK
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6
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Khalil MH. Neurosustainability. Front Hum Neurosci 2024; 18:1436179. [PMID: 39268220 PMCID: PMC11390526 DOI: 10.3389/fnhum.2024.1436179] [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: 05/21/2024] [Accepted: 08/07/2024] [Indexed: 09/15/2024] Open
Abstract
While the human brain has evolved extraordinary abilities to dominate nature, modern living has paradoxically trapped it in a contemporary "cage" that stifles neuroplasticity. Within this modern environment lurk unseen natural laws with power to sustain the human brain's adaptive capacities - if consciously orchestrated into the environments we design. For too long our contemporary environments have imposed an unyielding static state, while still neglecting the brain's constant adaptive nature as it evolves to dominate the natural world with increasing sophistication. The theory introduced in this article aims to go back in nature without having to go back in time, introducing and expounding Neurosustainability as a novel paradigm seeing beyond the contemporary confines to architect environments and brains in parallel. Its integrated neuro-evidenced framework proposes four enrichment scopes-spatial, natural, aesthetic, and social-each holding multifaceted attributes promising to sustain regions like the hippocampus, cortex and amygdala. Neurosustainability aims to liberate the quintessential essence of nature to sustain and enhance neuroplastic processes through a cycle that begins with design and extends through epigenetic changes. This paradigm shift aims to foster cognitive health and wellness by addressing issues like stress, depression, anxiety and cognitive decline common in the contemporary era thereby offering a path toward a more neurosustainable era aiming to nurture the evolution of the human brain now and beyond.
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Affiliation(s)
- Mohamed Hesham Khalil
- Department of Architecture, Faculty of Architecture and History of Art, School of Arts and Humanities, University of Cambridge, Cambridge, United Kingdom
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7
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He Q, Sun M, Wang Y, Li G, Zhao H, Ma Z, Feng Z, Li T, Han Q, Sun N, Li L, Shen Y. Association between residential greenness and incident delirium: A prospective cohort study in the UK Biobank. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 937:173341. [PMID: 38797415 DOI: 10.1016/j.scitotenv.2024.173341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Contemporary environmental health investigations have identified green space as an emerging factor with promising prospects for bolstering human well-being. The incidence of delirium increases significantly with age and is fatal. To date, there is no research elucidating the enduring implications of green spaces on the occurrence of delirium. Therefore, we explored the relationship between residential greenness and the incidence of delirium in a large community sample from the UK Biobank. METHODS Enrollment of participants spanned from 2006 to 2010. Assessment of residential greenness involved the land coverage percentage of green space within a buffer range of 300 m and 1000 m. The relationship between residential greenness and delirium was assessed using the Cox proportional hazards model. Further, we investigated the potential mediating effects of physical activity, particulate matter (PM) with diameters ≤2.5 (PM2.5), and nitrogen oxides (NOx). RESULTS Of 232,678 participants, 3722 participants were diagnosed with delirium during a 13.4-year follow-up period. Compared with participants with green space coverage at a 300 m buffer in the lowest quartile (Q1), those in the highest quartile (Q4) had 15 % (Hazard ratio [HR] = 0.85, 95 % confidence interval [CI]: 0.77, 0.94) lower risk of incident delirium. As for the 1000 m buffer, those in Q4 had a 16 % (HR = 0.84, 95 % CI: 0.76, 0.93) lower risk of incident delirium. The relationship between green space in the 300 m buffer and delirium was mediated partially by physical activity (2.07 %) and PM2.5(49.90 %). Comparable findings were noted for the green space percentage within the 1000 m buffer. CONCLUSIONS Our results revealed that long-term exposure to residential greenness was related to a lower risk of delirium. Air pollution and physical activity exerted a significant mediating influence in shaping this association.
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Affiliation(s)
- Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Mengtong Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Guoxian Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Hanqing Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Ze Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Zhaolong Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Tongxing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Qiang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Na Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China
| | - Linyan Li
- School of Data Science, City University of Hong Kong, 999077, Hong Kong; Department of Infectious Diseases and Public Health, City University of Hong Kong, 999077, Hong Kong.
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, PR China.
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8
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Kang C, Lee W, Park C, Oh J, Min J, Park J, Choi M, Jang J, Kim H. Beneficial impacts of residential greenness on sleep deprivation in adults aged 19 or older living in South Korea: A nationwide community health survey in 2011-2018. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169700. [PMID: 38160836 DOI: 10.1016/j.scitotenv.2023.169700] [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: 08/14/2023] [Revised: 11/22/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Evidence of the relationship between greenness and sleep is limited, and, given the worsening sleep insufficiency worldwide, this relationship needs elucidation. In this study, we investigated the association of greenness with sleep deprivation using nationwide survey data. METHODS This study included 1,727,273 participants in the Korea Community Health Survey who resided in all 229 districts of South Korea from 2011 to 2018. Sleep deprivation variables were defined as strong deprivation or mild deprivation, based on average daily sleep duration of <5 or 5-6 h, respectively. District-specific annual average of satellite-derived enhanced vegetation index (EVI) was used as a green space exposure. A logistic regression with complex survey weights was used to estimate the association between greenness and sleep deprivation, and it was further examined by sex, age group, educational status, income level, and population density. The regression analysis was performed annually, and the annual estimates were pooled by a combined data analysis. RESULTS A higher level of greenness was associated (odds ratio [95 % confidence interval]) with strong and mild sleep deprivation (0.96 [0.93-0.99] and 0.96 [0.95-0.97]), respectively, and males and the younger age group (<65 years) showed a more prominent association with greenness than in females and the elderly group (65 years or older). In addition, only high-population-density areas showed evident associations of greenness with both strong and mild sleep deprivation. CONCLUSIONS This large population-based study provides important epidemiological evidence for improving sleep quantity through an increase in greenness exposure and supports policymakers in establishing strategies for urban planning.
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Affiliation(s)
- Cinoo Kang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Whanhee Lee
- School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do 50612, Republic of Korea.
| | - Chaerin Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Jieun Oh
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Jieun Min
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, 25 Magokdong-ro 2-gil, Ganseo-gu, Seoul 07804, Republic of Korea.
| | - Jinah Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Munjeong Choi
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Jeongju Jang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Ho Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
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9
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Tondelli M, Chiari A, Vinceti G, Galli C, Salemme S, Filippini T, Carbone C, Minafra C, De Luca C, Prandi R, Tondelli S, Zamboni G. Greenness and neuropsychiatric symptoms in dementia. ENVIRONMENTAL RESEARCH 2024; 242:117652. [PMID: 37980996 DOI: 10.1016/j.envres.2023.117652] [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: 08/28/2023] [Revised: 11/10/2023] [Accepted: 11/11/2023] [Indexed: 11/21/2023]
Abstract
OBJECTIVES It is acknowledged that living in a green environment may help mental well-being and this may be especially true for vulnerable people. However, the relationship between greenness and neuropsychiatric symptoms in dementia has not been explored yet. METHODS We collected clinical, neuropsychiatric, and residential data from subjects with dementia living in the province of Modena, Northern Italy. Neuropsychiatric symptoms were measured with the Neuropsychiatry Inventory, a questionnaire administered to the caregiver who assesses the presence and severity of neuropsychiatric symptoms, including delusions, hallucinations, agitation/aggression, dysphoria/depression, anxiety, euphoria/elation, apathy/indifference, disinhibition, irritability/lability, aberrant motor behaviors, sleep disturbances, and appetite/eating changes. Normalized Difference Vegetation Index (NDVI) was used as a proxy of greenness. Regression models were constructed to study the association between greenness and neuropsychiatric features. RESULTS 155 patients with dementia were recruited. We found that greenness is variably associated with the risk of having neuropsychiatric symptoms. The risk of apathy was lower with lower levels of greenness (OR = 0.42, 95% CI 0.19-0.91 for NDVI below the median value). The risk of psychosis was higher with lower levels of greenness but with more imprecise values (OR = 1.77, 95% CI 0.84-3.73 for NDVI below the median value). CONCLUSION Our results suggest a possible association between greenness and neuropsychiatric symptoms in people with dementia. If replicated in larger samples, these findings will pave the road for identifying innovative greening strategies and interventions that can improve mental health in dementia.
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Affiliation(s)
- Manuela Tondelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy.
| | - Annalisa Chiari
- Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy
| | - Giulia Vinceti
- Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy
| | - Chiara Galli
- Primary Care Department, AUSL Modena, Modena, Italy
| | - Simone Salemme
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Tommaso Filippini
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; 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
| | - Chiara Carbone
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Claudia Minafra
- Department of Architecture, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Claudia De Luca
- Department of Architecture, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Riccardo Prandi
- Department of Biological, Geological and Environmental Sciences (BiGeA), Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Simona Tondelli
- Department of Architecture, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Giovanna Zamboni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Neurology Unit, Baggiovara Hospital, AOU Modena, Modena, Italy
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10
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Besser LM, Lovasi GS, Zambrano JJ, Camacho S, Dhanekula D, Michael YL, Garg P, Hirsch JA, Siscovick D, Hurvitz PM, Biggs ML, Galvin JE, Bartz TM, Longstreth WT. Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12484. [PMID: 37885920 PMCID: PMC10598801 DOI: 10.1002/dad2.12484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/28/2023] [Accepted: 09/11/2023] [Indexed: 10/28/2023]
Abstract
INTRODUCTION We examined whether a combined measure of neighborhood greenspace and neighborhood median income was associated with white matter hyperintensity (WMH) and ventricle size changes. METHODS The sample included 1260 cognitively normal ≥ 65-year-olds with two magnetic resonance images (MRI; ≈ 5 years apart). WMH and ventricular size were graded from 0 (least) to 9 (most) abnormal (worsening = increase of ≥1 grade from initial to follow-up MRI scans). The four-category neighborhood greenspace-income measure was based on median neighborhood greenspace and income values at initial MRI. Multivariable logistic regression tested associations between neighborhood greenspace-income and MRI measures (worsening vs. not). RESULTS White matter grade worsening was more likely for those in lower greenspace-lower income neighborhoods than higher greenspace-higher income neighborhoods (odds ratio = 1.73; 95% confidence interval = 1.19-2.51). DISCUSSION The combination of lower neighborhood income and lower greenspace may be a risk factor for worsening white matter grade on MRI. However, findings need to be replicated in more diverse cohorts. HIGHLIGHTS Population-based cohort of older adults (≥ 65 years) with greenspace and MRI dataCombined measure of neighborhood greenspace and neighborhood income at initial MRIMRI outcomes included white matter hyperintensities (WMH) and ventricular sizeLongitudinal change in MRI outcomes measured approximately 5 years apartWorsening WMH over time more likely for lower greenspace-lower income neighborhoods.
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Affiliation(s)
- Lilah M. Besser
- Comprehensive Center for Brain HealthDepartment of NeurologyUniversity of Miami Miller School of MedicineBoca RatonFloridaUSA
| | - Gina S. Lovasi
- Urban Health Collaborative and Department of Epidemiology and BiostatisticsDornslife School of Public HealthDrexel UniversityPhiladelphiaPennsylvaniaUSA
| | - Joyce Jimenez Zambrano
- Comprehensive Center for Brain HealthDepartment of NeurologyUniversity of Miami Miller School of MedicineBoca RatonFloridaUSA
| | - Simone Camacho
- Comprehensive Center for Brain HealthDepartment of NeurologyUniversity of Miami Miller School of MedicineBoca RatonFloridaUSA
| | | | - Yvonne L. Michael
- Urban Health Collaborative and Department of Epidemiology and BiostatisticsDornslife School of Public HealthDrexel UniversityPhiladelphiaPennsylvaniaUSA
| | - Parveen Garg
- Division of CardiologyKeck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Jana A. Hirsch
- Urban Health Collaborative and Department of Epidemiology and BiostatisticsDornslife School of Public HealthDrexel UniversityPhiladelphiaPennsylvaniaUSA
| | - David Siscovick
- Division of ResearchEvaluation, and PolicyThe New York Academy of MedicineNew YorkNew YorkUSA
| | - Philip M. Hurvitz
- Center for Studies in Demography and Ecology and Urban Form LabUniversity of WashingtonSeattleWashingtonUSA
| | - Mary L. Biggs
- Department of BiostatisticsSchool of Public HealthUniversity of WashingtonSeattleWashingtonUSA
| | - James E. Galvin
- Comprehensive Center for Brain HealthDepartment of NeurologyMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Traci M. Bartz
- Department of BiostatisticsUniversity of WashingtonSeattleWashingtonUSA
| | - W. T. Longstreth
- Departments of Neurology and EpidemiologyUniversity of WashingtonSeattleWashingtonUSA
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11
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Zhu Z, Yang Z, Yu L, Xu L, Wu Y, Zhang X, Shen P, Lin H, Shui L, Tang M, Jin M, Wang J, Chen K. Residential greenness, air pollution and incident neurodegenerative disease: A cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:163173. [PMID: 37003317 DOI: 10.1016/j.scitotenv.2023.163173] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/18/2023] [Accepted: 03/26/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Neurodegenerative disease has a great adverse impact on population's death and disability worldwide. However, the association of air pollution and residential greenness with neurodegenerative disease and their potential mechanisms still remain uncertain. METHODS We used data from a population-based prospective cohort in Ningbo, China. Exposure to PM2.5, PM10 and NO2 were assessed by land-use regression (LUR) models and residential greenness was estimated by Normalized Difference Vegetation Index (NDVI). Our primary outcomes were all neurodegenerative diseases, Parkinson's disease (PD) and Alzheimer's disease (AD). Cox proportional hazards regression models were used to examine the association of air pollution and residential greenness with risk of incident neurodegenerative disease. Furthermore, we also explored the potential mediation relationship and effect modification between greenness and air pollutants. RESULTS During the follow-up period, we identified a total of 617 incident neurodegenerative diseases, 301 PD and 182 AD. In single-exposure models, PM2.5 was positively associated with all outcomes (e.g. AD hazard ratio (HR): 1.41, 95 % confidence interval (CI): 1.09-1.84, per interquartile range (IQR) increment), whereas residential greenness showed protective effects (e.g. neurodegenerative disease, HR: 0.82, 95%CI: 0.75-0.90, per IQR increment for NDVI in 1000 m buffer). NO2 was positively associated with risk of neurodegenerative disease and PM10 was associated with neurodegenerative disease and AD. In two-exposure models, after adjustment for PM2.5, the association for greenness generally attenuated towards null. Moreover, we identified the significant modification effect of greenness on PM2.5 on additive and multiplicative scales. CONCLUSION In this prospective study, we found that exposure to higher residential greenness and lower concentrations of particulate matter were associated with lower risk of neurodegenerative disease, PD and AD. Residential greenness could modify the association of PM2.5 with neurodegenerative disease.
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Affiliation(s)
- Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Xinhan Zhang
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China.
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
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12
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Luo W, Chen C, Li H, Hou Y, Xia Y, Liu J, Wu L, Yao J. Residential open space and the perception of health benefits: How much is the public willing to pay? JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 316:115273. [PMID: 35576707 DOI: 10.1016/j.jenvman.2022.115273] [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: 12/10/2021] [Revised: 05/05/2022] [Accepted: 05/07/2022] [Indexed: 06/15/2023]
Abstract
Emerging evidence suggests that residential open space (ROS) is beneficial for multiple health outcomes for urban residents. However, the general public's understanding of and demand for the health benefits related to ROS have not been widely explored. This study aims to examine the impact of residents' socioeconomic status and perceptions of landscape health benefits on their willingness to pay (WTP) for ROS and to evaluate the perceived monetary value of different residential landscape elements. An online survey with 1348 respondents was conducted between August 2020 and October 2021 in China using a contingent valuation (CV) method. Respondents perceived the landscape benefits related to mental health to be higher than those related to physical and social health. The perception of landscape health benefits positively affected WTP and the WTP value of ROS. Residents' monthly income was a significant influencing factor for WTP and the latter's value. For individuals with positive WTP, the average annual WTP for ROS was CNY 68.98 (USD 10.81), while for all the respondents, the estimated mean annual WTP for ROS was CNY 91.75 (USD 14.38). Moreover, the estimated WTP for plants was the highest, whereas the WTP for activity spaces was estimated as the lowest. These findings may improve city planners' and community managers' understanding of the perceived value of residential landscapes among the public and help them make effective decisions to build healthy communities.
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Affiliation(s)
- Weijing Luo
- South China Agricultural University, College of Forestry and Landscape Architecture, Guangzhou, 510642, China.
| | - Chongxian Chen
- South China Agricultural University, College of Forestry and Landscape Architecture, Guangzhou, 510642, China.
| | - Haiwei Li
- South China Agricultural University, College of Forestry and Landscape Architecture, Guangzhou, 510642, China.
| | - Yongqi Hou
- South China Agricultural University, College of Forestry and Landscape Architecture, Guangzhou, 510642, China.
| | - Yu Xia
- South China Agricultural University, College of Forestry and Landscape Architecture, Guangzhou, 510642, China.
| | - Jingyi Liu
- South China Agricultural University, College of Forestry and Landscape Architecture, Guangzhou, 510642, China.
| | - Longfeng Wu
- Peking University, College of Urban and Environmental Sciences, Beijing, 100871, China.
| | - Jing Yao
- University of Glasgow, Urban Big Data Centre, School of Social and Political Sciences, Glasgow, G12 8QQ, United Kingdom.
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13
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Jung J, Park JY, Myung W, Lee JY, Ko H, Lee H. Association between Residential Greenness and Incidence of Parkinson's Disease: A Population-Based Cohort Study in South Korea. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063491. [PMID: 35329176 PMCID: PMC8951185 DOI: 10.3390/ijerph19063491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 11/16/2022]
Abstract
It is widely known that exposure to residential greenness is beneficial for health. However, few studies have analyzed the association between greenery and Parkinson’s disease (PD). We selected 313,355 participants who matched the inclusion criteria from the National Health Insurance Service-National Sample Cohort, followed up from 2007 to 2015. Residential greenness, represented by the normalized difference vegetation index (NDVI), was obtained from satellite measurements. We estimated hazard ratios of PD associated with a 0.1-unit increase in long-term greenness exposure at the district level for the previous 1 year of each year until a censoring/event occurred, using time-varying Cox proportional hazard models, adjusted for individual- and area-level characteristics. During the 2,745,389 person-years of follow-up, 2621(0.8%) participants developed PD. Exposure to higher levels of residential greenness was found to be associated with a decreased risk of PD incidence (21% per 0.1-unit increase, 95% confidence interval (CI): 0.74–0.84). In subgroup analyses, stronger protective effects were observed in participants aged over 50 years, females, overweight/obese participants, non-urban residents, non-smokers, alcoholics, and those with comorbidities. Long-term exposure to greenness was beneficial to incident PD, and our findings could aid in the development of public-health strategies.
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Affiliation(s)
- Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, Goyang 10326, Korea;
- Research Center for Chronic Disease and Environmental Medicine, College of Medicine, Dongguk University, Goyang 10326, Korea;
| | - Jae Yoon Park
- Research Center for Chronic Disease and Environmental Medicine, College of Medicine, Dongguk University, Goyang 10326, Korea;
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang 10326, Korea
- Department of Internal Medicine, College of Medicine, Dongguk University, Goyang 10326, Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Bundang-gu, Seongnam 13620, Korea;
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul 08826, Korea
| | - Jun-Young Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, College of Medicine, Seoul National University, Seoul 08826, Korea;
| | - Hyunwoong Ko
- Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, Korea;
| | - Hyewon Lee
- Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan 31538, Korea
- Department of Software Convergence, Soonchunhyang University Graduate School, Asan 31538, Korea
- Correspondence: ; Tel.: +82-41-530-3045; Fax: +82-41-530-3085
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14
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Zagnoli F, Filippini T, Jimenez MP, Wise LA, Hatch EE, Vinceti M. Is Greenness Associated with Dementia? A Systematic Review and Dose-Response Meta-analysis. Curr Environ Health Rep 2022; 9:574-590. [PMID: 35857243 PMCID: PMC9729322 DOI: 10.1007/s40572-022-00365-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW We assessed the relation between environmental greenness and risk of dementia and cognitive impairment, based on a systematic review and meta-analysis up to March 30, 2022, characterizing whenever possible the shape of the association using dose-response meta-analysis. RECENT FINDINGS Twelve studies were included in this review, either using normalized difference vegetation index (NDVI) or land use/cover (LU/LC) methodology to assess greenness. Comparing the highest versus lowest exposure categories of greenness assessed using the NDVI (6 studies) or LU/LC (6 studies), we found no association with dementia. Dose-response meta-analysis of the association between greenness measured by LU/LC and dementia, based on only 3 studies, indicated a U-shaped association, but estimates were imprecise. Our systematic review and meta-analysis provided some evidence of a slight inverse association between greenness and dementia at intermediate exposure levels, but not at high levels. Potential methodological limitations, such as exposure misclassification and unmeasured confounding, may have affected the results.
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Affiliation(s)
- Federico Zagnoli
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125 Modena, Italy
| | - Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125 Modena, Italy ,School of Public Health, University of California Berkeley, Berkeley, CA 94704 USA
| | - Marcia P. Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125 Modena, Italy ,Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
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