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      Associations of Greenness, Parks, and Blue Space With Neurodegenerative Disease Hospitalizations Among Older US Adults

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          Key Points

          Question

          Are measures of the natural environment associated with hospitalization for Alzheimer disease and related dementias (ADRD) and Parkinson disease (PD) among older individuals?

          Findings

          In this US-based cohort study of approximately 62 million Medicare beneficiaries aged 65 years or older, protective associations of greenness (normalized difference vegetation index), park cover, and blue space cover with PD hospitalization were observed. Greenness, but not park or blue space cover, was associated with a decreased risk of ADRD hospitalization.

          Meaning

          These findings suggest that exposure to some natural environments may reduce the risk of ADRD and PD hospitalization among older adults.

          Abstract

          This cohort study explores the association of natural environments—using measures of greenness, parks, and blue space—with hospitalizations for Alzheimer disease and related dementias and Parkinson disease among older individuals in the US.

          Abstract

          Importance

          Exposure to natural environments has been associated with health outcomes related to neurological diseases. However, the few studies that have examined associations of natural environments with neurological diseases report mixed findings.

          Objective

          To evaluate associations of natural environments with hospital admissions for Alzheimer disease and related dementias (ADRD) and Parkinson disease (PD) among older adults in the US.

          Design, Setting, and Participants

          This open cohort study included fee-for-service Medicare beneficiaries aged 65 years or older who lived in the contiguous US from January 1, 2000, to December 31, 2016. Beneficiaries entered the cohort on January 1, 2000, or January 1 of the year after enrollment. Data from US Medicare enrollment and Medicare Provider Analysis and Review files, which contain information about individual-level covariates and all hospital admissions for Medicare fee-for-service beneficiaries, were analyzed between January 2021 and September 2022.

          Exposures

          Differences in IQRs for zip code–level greenness (normalized difference vegetation index [NDVI]), percentage park cover, and percentage blue space cover (surface water; ≥1.0% vs <1.0%).

          Main Outcomes and Measures

          The main outcome was first hospitalizations with a primary or secondary discharge diagnosis of ADRD or PD. To examine associations of exposures to natural environments with ADRD and PD hospitalization, we used Cox-equivalent Poisson models.

          Results

          We included 61 662 472 and 61 673 367 Medicare beneficiaries in the ADRD and PD cohorts, respectively. For both cohorts, 55.2% of beneficiaries were women. Most beneficiaries in both cohorts were White (84.4%), were not eligible for Medicaid (87.6%), and were aged 65 to 74 years (76.6%) at study entry. We observed 7 737 609 and 1 168 940 first ADRD and PD hospitalizations, respectively. After adjustment for potential individual- and area-level confounders (eg, Medicaid eligibility and zip code–level median household income), NDVI was negatively associated with ADRD hospitalization (hazard ratio [HR], 0.95 [95% CI, 0.94-0.96], per IQR increase). We found no evidence of an association of percentage park and blue space cover with ADRD hospitalization. In contrast, NDVI (HR, 0.94 [95% CI, 0.93-0.95], per IQR increase), percentage park cover (HR, 0.97 [95% CI, 0.97-0.98], per IQR increase), and blue space cover (HR, 0.97 [95% CI, 0.96-0.98], ≥1.0% vs <1.0%) were associated with a decrease in PD hospitalizations. Patterns of effect modification by demographics differed between exposures.

          Conclusions and Relevance

          The findings of this cohort study suggest that some natural environments are associated with a decreased risk of ADRD and PD hospitalization.

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          Most cited references39

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          Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

          Summary Background Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. Methods We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. Findings Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247–308]) and second leading cause of deaths (9·0 million [8·8–9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34–44] and DALYs by 15% [9–21]) whereas their age-standardised rates decreased (deaths by 28% [26–30] and DALYs by 27% [24–31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6–46·1]), migraine (16·3% [11·7–20·8]), Alzheimer's and other dementias (10·4% [9·0–12·1]), and meningitis (7·9% [6·6–10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05–1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5–90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8–35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8–17·5] of DALYs are risk attributable). Interpretation Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies. Funding Bill & Melinda Gates Foundation.
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            High-resolution mapping of global surface water and its long-term changes.

            The location and persistence of surface water (inland and coastal) is both affected by climate and human activity and affects climate, biological diversity and human wellbeing. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions, statistical extrapolation of regional data and satellite imagery, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal. Losses in Australia and the USA linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.
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              • Article: not found

              Exploring pathways linking greenspace to health: Theoretical and methodological guidance.

              In a rapidly urbanizing world, many people have little contact with natural environments, which may affect health and well-being. Existing reviews generally conclude that residential greenspace is beneficial to health. However, the processes generating these benefits and how they can be best promoted remain unclear.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                20 December 2022
                December 2022
                20 December 2022
                : 5
                : 12
                : e2247664
                Affiliations
                [1 ]Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
                [2 ]Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
                [3 ]Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
                [4 ]Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, South Carolina
                [5 ]Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
                [6 ]Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
                [7 ]OPENspace Research Centre, School of Architecture and Landscape Architecture, University of Edinburgh, Edinburgh, United Kingdom
                [8 ]Department of City and Metropolitan Planning, University of Utah, Salt Lake City
                [9 ]Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
                Author notes
                Article Information
                Accepted for Publication: October 31, 2022.
                Published: December 20, 2022. doi:10.1001/jamanetworkopen.2022.47664
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Klompmaker JO et al. JAMA Network Open.
                Corresponding Author: Jochem O. Klompmaker, PhD, Department of Environmental Health, Harvard T. H. Chan School of Public Health, Landmark Center, 401 Park Dr, Boston, MA 02215 ( jklompmaker@ 123456hsph.harvard.edu ).
                Author Contributions: Dr Klompmaker had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Hart and James contributed equally as co–last authors.
                Concept and design: Klompmaker, Laden, Jimenez, Zanobetti, Hart, James.
                Acquisition, analysis, or interpretation of data: Klompmaker, Laden, Browning, Dominici, Jimenez, Ogletree, Rigolon, Hart, James.
                Drafting of the manuscript: Klompmaker.
                Critical revision of the manuscript for important intellectual content: Laden, Browning, Dominici, Jimenez, Ogletree, Rigolon, Zanobetti, Hart, James.
                Statistical analysis: Klompmaker, Dominici, Jimenez, James.
                Obtained funding: Laden, Dominici, Zanobetti, Hart.
                Administrative, technical, or material support: Ogletree, Rigolon, Hart, James.
                Supervision: Laden, Dominici, Jimenez, Zanobetti, Hart, James.
                Conflict of Interest Disclosures: Drs Klompmaker, Laden, Dominici, Jimenez, Zanobetti, Hart, and James reported receiving grants from the National Institutes of Health during the conduct of the study. No other disclosures were reported.
                Funding/Support: This study was supported by grants R01ES028033, R01ES024332, R01ES026217, 1R01ES030616, 1R01ES029950, R01ES034373, and P30ES000002 from the National Institute of Environmental Health Sciences; 5R01AG060232-03, 1RF1AG071024, 1RF1AG074372-01A1, R01AG066793-01, and R00AG066949 from the National Institute on Aging; R01HL150119 from the National Heart, Lung, and Blood Institute; and R01MD012769 from the National Institute on Minority Health and Health Disparities.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Data Sharing Statement: See Supplement 2.
                Article
                zoi221348
                10.1001/jamanetworkopen.2022.47664
                9856892
                36538329
                bdf38ea5-77fe-4330-b5e3-e08f95cd2c70
                Copyright 2022 Klompmaker JO et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 20 July 2022
                : 31 October 2022
                Categories
                Research
                Original Investigation
                Online Only
                Environmental Health

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