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      Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era

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          Abstract

          Geospatial science is the science of location or place that harnesses geospatial tools, such as geographic information systems (GIS), to understand the features of the environment according to their locations. Geospatial science has been transformative for cancer epidemiologic studies through enabling large-scale environmental exposure assessments. As the research paradigm for the exposome, or the totality of environmental exposures across the life course, continues to evolve, geospatial science will serve a critical role in determining optimal practices for how to measure the environment as part of the external exposome. The objectives of this article are to provide a summary of key concepts, present a conceptual framework that illustrates how geospatial science is applied to environmental epidemiology in practice and through the lens of the exposome, and discuss the following opportunities for advancing geospatial science in cancer epidemiologic research: enhancing spatial and temporal resolutions and extents for geospatial data; geospatial methodologies to measure climate change factors; approaches facilitating the use of patient addresses in epidemiologic studies; combining internal exposome data and geospatial exposure models of the external exposome to provide insights into biological pathways for environment–disease relationships; and incorporation of geospatial data into personalized cancer screening policies and clinical decision making.

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          Google Earth Engine: Planetary-scale geospatial analysis for everyone

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            Outdoor Particulate Matter Exposure and Lung Cancer: A Systematic Review and Meta-Analysis

            Background: Particulate matter (PM) in outdoor air pollution was recently designated a Group I carcinogen by the International Agency for Research on Cancer (IARC). This determination was based on the evidence regarding the relationship of PM2.5 and PM10 to lung cancer risk; however, the IARC evaluation did not include a quantitative summary of the evidence. Objective: Our goal was to provide a systematic review and quantitative summary of the evidence regarding the relationship between PM and lung cancer. Methods: We conducted meta-analyses of studies examining the relationship of exposure to PM2.5 and PM10 with lung cancer incidence and mortality. In total, 18 studies met our inclusion criteria and provided the information necessary to estimate the change in lung cancer risk per 10-μg/m3 increase in exposure to PM. We used random-effects analyses to allow between-study variability to contribute to meta-estimates. Results: The meta-relative risk for lung cancer associated with PM2.5 was 1.09 (95% CI: 1.04, 1.14). The meta-relative risk of lung cancer associated with PM10 was similar, but less precise: 1.08 (95% CI: 1.00, 1.17). Estimates were robust to restriction to studies that considered potential confounders, as well as subanalyses by exposure assessment method. Analyses by smoking status showed that lung cancer risk associated with PM2.5 was greatest for former smokers [1.44 (95% CI: 1.04, 1.22)], followed by never-smokers [1.18 (95% CI: 1.00, 1.39)], and then current smokers [1.06 (95% CI: 0.97, 1.15)]. In addition, meta-estimates for adenocarcinoma associated with PM2.5 and PM10 were 1.40 (95% CI: 1.07, 1.83) and 1.29 (95% CI: 1.02, 1.63), respectively. Conclusion: The results of these analyses, and the decision of the IARC Working Group to classify PM and outdoor air pollution as carcinogenic (Group 1), further justify efforts to reduce exposures to air pollutants that can arise from many sources. Citation: Hamra GB, Guha N, Cohen A, Laden F, Raaschou-Nielsen O, Samet JM, Vineis P, Forastiere F, Saldiva P, Yorifuji T, Loomis D. 2014. Outdoor particulate matter exposure and lung cancer: a systematic review and meta-analysis. Environ Health Perspect 122:906–911; http://dx.doi.org/10.1289/ehp.1408092
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              Health Benefits from Nature Experiences Depend on Dose

              Nature within cities will have a central role in helping address key global public health challenges associated with urbanization. However, there is almost no guidance on how much or how frequently people need to engage with nature, and what types or characteristics of nature need to be incorporated in cities for the best health outcomes. Here we use a nature dose framework to examine the associations between the duration, frequency and intensity of exposure to nature and health in an urban population. We show that people who made long visits to green spaces had lower rates of depression and high blood pressure, and those who visited more frequently had greater social cohesion. Higher levels of physical activity were linked to both duration and frequency of green space visits. A dose-response analysis for depression and high blood pressure suggest that visits to outdoor green spaces of 30 minutes or more during the course of a week could reduce the population prevalence of these illnesses by up to 7% and 9% respectively. Given that the societal costs of depression alone in Australia are estimated at AUD$12.6 billion per annum, savings to public health budgets across all health outcomes could be immense.
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                Author and article information

                Journal
                Cancer Epidemiol Biomarkers Prev
                Cancer Epidemiol Biomarkers Prev
                Cancer Epidemiology, Biomarkers & Prevention
                American Association for Cancer Research
                1055-9965
                1538-7755
                03 April 2024
                03 April 2024
                : 33
                : 4
                : 451-460
                Affiliations
                [1 ]Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
                [2 ]Department of Epidemiology, University of Washington, Seattle, Washington.
                [3 ]Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
                [4 ]Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland.
                Author notes
                [#]

                A.J. White and R.R. Jones contributed equally as co-senior authors of this article

                [* ] Corresponding Author: Trang VoPham, Fred Hutchinson Cancer Center, 1100 Fairview Avenue N, Seattle, WA 98109. E-mail: trang@ 123456fredhutch.org

                Cancer Epidemiol Biomarkers Prev 2024;33:451–60

                Author information
                https://orcid.org/0000-0003-4787-1201
                https://orcid.org/0000-0003-2455-2945
                https://orcid.org/0000-0003-1294-1679
                Article
                EPI-23-1237
                10.1158/1055-9965.EPI-23-1237
                10996842
                38566558
                b8e72c3f-3527-43d9-9b24-d4cc2124f5dc
                ©2024 The Authors; Published by the American Association for Cancer Research

                This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

                History
                : 07 October 2023
                : 11 December 2023
                : 29 January 2024
                Page count
                Pages: 10
                Categories
                Environmental Risk Factors
                Epidemiology
                Methodology And Modeling
                Commentary

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