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Lillini R, Tittarelli A, Bertoldi M, Ritchie D, Katalinic A, Pritzkuleit R, Launoy G, Launay L, Guillaume E, Žagar T, Modonesi C, Meneghini E, Amati C, Di Salvo F, Contiero P, Borgini A, Baili P. Water and Soil Pollution: Ecological Environmental Study Methodologies Useful for Public Health Projects. A Literature Review. REVIEWS OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2021; 256:179-214. [PMID: 33866420 DOI: 10.1007/398_2020_58] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Health risks at population level may be investigated with different types of environmental studies depending on access to data and funds. Options include ecological studies, case-control studies with individual interviews and human sample analysis, risk assessment or cohort studies. Most public health projects use data and methodologies already available due to the cost of ad-hoc data collection. The aim of the article is to perform a literature review of environmental exposure and health outcomes with main focus on methodologies for assessing an association between water and/or soil pollutants and cancer. A systematic literature search was performed in May 2019 using PubMed. Articles were assessed by four independent reviewers. Forty articles were identified and divided into four groups, according to the data and methods they used, i.e.: (1) regression models with data by geographical area; (2) regression models with data at individual level; (3) exposure intensity threshold values for evaluating health outcome trends; (4) analyses of distance between source of pollutant and health outcome clusters. The issue of exposure assessment has been investigated for over 40 years and the most important innovations regard technologies developed to measure pollutants, statistical methodologies to assess exposure, and software development. Thanks to these changes, it has been possible to develop and apply geo-coding and statistical methods to reduce the ecological bias when considering the relationship between humans, geographic areas, pollutants, and health outcomes. The results of the present review may contribute to optimize the use of public health resources.
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Affiliation(s)
- Roberto Lillini
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy.
| | - Andrea Tittarelli
- Cancer Registry Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
| | - Martina Bertoldi
- Environmental Epidemiology Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
| | - David Ritchie
- Association Européenne des Ligues contre le Cancer, Bruxelles, Belgium
| | | | - Ron Pritzkuleit
- Institute for Cancer Epidemiology at the University Lübeck, Lübeck, Germany
| | - Guy Launoy
- Normandie Univ, UNICAEN, INSERM, ANTICIPE, Caen, France
- Pôle recherche - Centre Hospitalier Universitaire, Caen, France
| | - Ludivine Launay
- Normandie Univ, UNICAEN, INSERM, ANTICIPE, Caen, France
- Centre François Baclesse, Caen, France
| | | | - Tina Žagar
- Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Carlo Modonesi
- Cancer Registry Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
- International Society of Doctors for the Environment (ISDE), Arezzo, Italy
| | - Elisabetta Meneghini
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
| | - Camilla Amati
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
| | - Francesca Di Salvo
- Pancreas Translational and Clinical Research Center, Ospedale IRCCS "San Raffaele", Milan, Italy
| | - Paolo Contiero
- Environmental Epidemiology Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
| | - Alessandro Borgini
- Environmental Epidemiology Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
- International Society of Doctors for the Environment (ISDE), Arezzo, Italy
| | - Paolo Baili
- Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS "Istituto Nazionale dei Tumori", Milan, Italy
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Wray AJD, Minaker LM. Is cancer prevention influenced by the built environment? A multidisciplinary scoping review. Cancer 2019; 125:3299-3311. [PMID: 31287585 DOI: 10.1002/cncr.32376] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 06/12/2019] [Accepted: 06/13/2019] [Indexed: 01/04/2023]
Abstract
The built environment is a significant determinant of human health. Globally, the growing prevalence of preventable cancers suggests a need to understand how features of the built environment shape exposure to cancer development and distribution within a population. This scoping review examines how researchers across disparate fields understand and discuss the built environment in primary and secondary cancer prevention. It is focused exclusively on peer-reviewed sources published from research conducted in Australia, Canada, Ireland, New Zealand, the United Kingdom, and the United States from 1990 to 2017. The review captured 9958 potential results in the academic literature, and this body of results was scoped to 268 relevant peer-reviewed journal articles indexed across 13 subject databases. Spatial proximity, transportation, land use, and housing are well-understood features of the built environment that shape cancer risk. Built-environment features predominantly influence air quality, substance use, diet, physical activity, and screening adherence, with impacts on breast cancer, lung cancer, colorectal cancer, and overall cancer risk. The majority of the evidence fails to provide direct recommendations for advancing cancer prevention policy and program objectives for municipalities. The expansion of interdisciplinary work in this area would serve to create a significant population health impact.
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Vieira VM, Fabian MP, Webster TF, Levy JI, Korrick SA. Spatial Variability in ADHD-Related Behaviors Among Children Born to Mothers Residing Near the New Bedford Harbor Superfund Site. Am J Epidemiol 2017; 185:924-932. [PMID: 28444119 PMCID: PMC5430935 DOI: 10.1093/aje/kww208] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 04/25/2016] [Indexed: 12/24/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) has an uncertain etiology, with potential contributions from different risk factors such as prenatal environmental exposure to organochlorines and metals, social risk factors, and genetics. The degree to which geographic variability in ADHD is independent of, or explained by, risk factors may provide etiological insight. We investigated determinants of geographic variation in ADHD-related behaviors among children living near the polychlorinated biphenyl-contaminated New Bedford Harbor (NBH) Superfund site in Massachusetts. Participants were 573 children recruited at birth (1993-1998) who were born to mothers residing near the NBH site. We assessed ADHD-related behaviors at age 8 years using Conners' Teacher Rating Scale-Revised: Long Version. Adjusted generalized additive models were used to smooth the association of pregnancy residence with ADHD-related behaviors and assess whether prenatal organochlorine or metal exposures, sociodemographic factors, or other factors explained spatial patterns. Models that adjusted for child's age and sex displayed significantly increased ADHD-related behavior among children whose mothers resided west of the NBH site during pregnancy. These spatial patterns persisted after adjusting for prenatal exposure to organochlorines and metals but were no longer significant after controlling for sociodemographic factors. The findings underscore the value of spatial analysis in identifying high-risk subpopulations and evaluating candidate risk factors.
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Affiliation(s)
- Verónica M. Vieira
- Correspondence to Dr. Verónica M. Vieira, Program in Public Health, University of California, Irvine, 653 East Peltason Drive, AIRB 2042, Irvine, CA 92697 (e-mail: )
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Spatial and temporal analyses to investigate infectious disease transmission within healthcare settings. J Hosp Infect 2014; 86:227-43. [PMID: 24650720 PMCID: PMC7133762 DOI: 10.1016/j.jhin.2014.01.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 01/28/2014] [Indexed: 02/08/2023]
Abstract
Background Healthcare-associated infections (HCAIs) cause significant morbidity and mortality worldwide, and outbreaks are often only identified after they reach high levels. A wide range of data is collected within healthcare settings; however, the extent to which this information is used to understand HCAI dynamics has not been quantified. Aim To examine the use of spatiotemporal analyses to identify and prevent HCAI transmission in healthcare settings, and to provide recommendations for expanding the use of these techniques. Methods A systematic review of the literature was undertaken, focusing on spatiotemporal examination of infectious diseases in healthcare settings. Abstracts and full-text articles were reviewed independently by two authors to determine inclusion. Findings In total, 146 studies met the inclusion criteria. There was considerable variation in the use of data, with surprisingly few studies (N = 22) using spatiotemporal-specific analyses to extend knowledge of HCAI transmission dynamics. The remaining 124 studies were descriptive. A modest increase in the application of statistical analyses has occurred in recent years. Conclusion The incorporation of spatiotemporal analysis has been limited in healthcare settings, with only 15% of studies including any such analysis. Analytical studies provided greater data on transmission dynamics and effective control interventions than studies without spatiotemporal analyses. This indicates the need for greater integration of spatiotemporal techniques into HCAI investigations, as even simple analyses provide significant improvements in the understanding of prevention over simple descriptive summaries.
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Goli A, Oroei M, Jalalpour M, Faramarzi H, Askarian M. The Spatial Distribution of Cancer Incidence in Fars Province: A GIS-Based Analysis of Cancer Registry Data. Int J Prev Med 2013; 4:1122-30. [PMID: 24319551 PMCID: PMC3843298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2012] [Accepted: 01/18/2013] [Indexed: 10/29/2022] Open
Abstract
BACKGROUND Cancer is a major health problem in the developing countries. Variations of its incidence rate among geographical areas are due to various contributing factors. This study was performed to assess the spatial patterns of cancer incidence in the Fars Province, based on cancer registry data and to determine geographical clusters. METHODS In this cross sectional study, the new cases of cancer were recorded from 2001 to 2009. Crude incidence rate was estimated based on age groups and sex in the counties of the Fars Province. Age-standardized incidence rates (ASR) per 100,000 was calculated in each year. Spatial autocorrelation analysis was performed in measuring the geographic patterns and clusters using geographic information system (GIS). Also, comparisons were made between ASRs in each county. RESULTS A total of 28,411 new cases were diagnosed with cancer during 2001-2009 in the Fars Province, 55.5% of which were men. The average age was 61.6 ± 0.5 years. The highest ASR was observed in Shiraz, which is the largest county in Fars. The Moran's Index of cancer was significantly clustered in 2004, 2005, and 2006 in total, men, and women. The type of spatial clustering was high-high cluster, that to indicate from north-west to south-east of Fars Province. CONCLUSIONS Analysis of the spatial distribution of cancer shows significant differences from year to year and between different areas. However, a clear spatial autocorrelation is observed, which can be of great interest and importance to researchers for future epidemiological studies, and to policymakers for applying preventive measures.
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Affiliation(s)
- Ali Goli
- Department of Social Science, College of Human Sciences, Shiraz University, Shiraz, Islamic Republic of Iran
| | - Mahbobeh Oroei
- Department of Community Medicine, Student Research Center, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran
| | - Mehdi Jalalpour
- Department of Civil Engineering, The Johns Hopkins University, Maryland, United States of America
| | - Hossein Faramarzi
- Department of Non-communicable Diseases, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran
| | - Mehrdad Askarian
- Department of Community Medicine, Shiraz Nephro-Urology Research Center, Shiraz University of Medical Sciences, Shiraz, Islamic Republic of Iran,Correspondence to: Prof. Mehrdad Askarian, Department of Community Medicine, Shiraz University of Medical Sciences, P. O. Box: 71345-1737, Shiraz, Iran. E-mail:
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Rasaf MR, Ramezani R, Mehrazma M, Rasaf MRR, Asadi-Lari M. Inequalities in cancer distribution in tehran; a disaggregated estimation of 2007 incidencea by 22 districts. Int J Prev Med 2012; 3:483-92. [PMID: 22891150 PMCID: PMC3415189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2012] [Accepted: 04/22/2012] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Cancer is the third cause of death in Iran, with an increasing incidence projected for the next decade. This study aimed to provide a disaggregated viewpoint on cancer incidence in all 22 districts of Tehran, using the Geographic Information System (GIS). Identifying clusters of cancers may assist in recognizing the cause of the disease, visualizing patterns of cancer distribution, the potential disparities, and help in the provision of early detection programs and equitable, curative, and palliative services. METHODS According to the 2007 - 2008 Cancer Registry Data published by the Ministry of Health, there were 7948 new cancer cases diagnosed in Tehran. Data were collected from all pathology centers and hospitals, either public or private facilities, in Tehran. These were classified into 31 main categories according to the expert panels and available resources. The population of the districts and neighborhoods were obtained from the Iran Statistical Center and the Municipally of Tehran, respectively. Home addresses and phones were extracted from the database and imported to GIS. The Age-Standardized Rate (ASR) was calculated using both the new world standard population (2000 - 2025) and the Iran population. RESULTS Overall, the cancer incidence rate and ASR were 101.8 and 94.775 per 100,000 people, respectively. The maximum cancer incidence rates in both sexes were in districts 6, 3, 1, and 2, whereas, the maximum ASRs were in districts 6, 1, 2, and 3. District 6 accommodated the highest ASRs in both the sexes. Common cancers were breast, skin, colorectal, stomach, and prostate. The ASR in men and women were 129.954 and 114.546 per 100,000 population. CONCLUSION This report provides an appropriate guide to estimate the cancer distribution within the districts of Tehran. Higher ASR in districts 6, 1, 2, and 3, warrant further research, to obtain robust population-based incidence data and also to investigate the background predisposing factors in the specified districts.
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Affiliation(s)
- Marzieh Rohani Rasaf
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Boulos DNK, Ghali RR, Ibrahim EM, Boulos MNK, AbdelMalik P. An eight-year snapshot of geospatial cancer research (2002-2009): clinico-epidemiological and methodological findings and trends. Med Oncol 2010; 28:1145-62. [PMID: 20589539 DOI: 10.1007/s12032-010-9607-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2010] [Accepted: 06/16/2010] [Indexed: 12/14/2022]
Abstract
Geographic information systems (GIS) offer a very rich toolbox of methods and technologies, and powerful research tools that extend far beyond the mere production of maps, making it possible to cross-link and study the complex interaction of disease data and factors originating from a wide range of disparate sources. Despite their potential indispensable role in cancer prevention and control programmes, GIS are underrepresented in specialised oncology literature. The latter has provided an impetus for the current review. The review provides an eight-year snapshot of geospatial cancer research in peer-reviewed literature (2002-2009), presenting the clinico-epidemiological and methodological findings and trends in the covered corpus (93 papers). The authors concluded that understanding the relationship between location and cancer/cancer care services can play a crucial role in disease control and prevention, and in better service planning, and appropriate resource utilisation. Nevertheless, there are still barriers that hinder the wide-scale adoption of GIS and related technologies in everyday oncology practice.
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Affiliation(s)
- Dina N Kamel Boulos
- Department of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Abbassia, Cairo, Egypt
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Dai D, Oyana TJ. Spatial variations in the incidence of breast cancer and potential risks associated with soil dioxin contamination in Midland, Saginaw, and Bay Counties, Michigan, USA. Environ Health 2008; 7:49. [PMID: 18939976 PMCID: PMC2577707 DOI: 10.1186/1476-069x-7-49] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2008] [Accepted: 10/21/2008] [Indexed: 05/23/2023]
Abstract
BACKGROUND High levels of dioxins in soil and higher-than-average body burdens of dioxins in local residents have been found in the city of Midland and the Tittabawassee River floodplain in Michigan. The objective of this study is threefold: (1) to evaluate dioxin levels in soils; (2) to evaluate the spatial variations in breast cancer incidence in Midland, Saginaw, and Bay Counties in Michigan; (3) to evaluate whether breast cancer rates are spatially associated with the dioxin contamination areas. METHODS We acquired 532 published soil dioxin data samples collected from 1995 to 2003 and data pertaining to female breast cancer cases (n = 4,604) at ZIP code level in Midland, Saginaw, and Bay Counties for years 1985 through 2002. Descriptive statistics and self-organizing map algorithm were used to evaluate dioxin levels in soils. Geographic information systems techniques, the Kulldorff's spatial and space-time scan statistics, and genetic algorithms were used to explore the variation in the incidence of breast cancer in space and space-time. Odds ratio and their corresponding 95% confidence intervals, with adjustment for age, were used to investigate a spatial association between breast cancer incidence and soil dioxin contamination. RESULTS High levels of dioxin in soils were observed in the city of Midland and the Tittabawassee River 100-year floodplain. After adjusting for age, we observed high breast cancer incidence rates and detected the presence of spatial clusters in the city of Midland, the confluence area of the Tittabawassee, and Saginaw Rivers. After accounting for spatiotemporal variations, we observed a spatial cluster of breast cancer incidence in Midland between 1985 and 1993. The odds ratio further suggests a statistically significant (alpha = 0.05) increased breast cancer rate as women get older, and a higher disease burden in Midland and the surrounding areas in close proximity to the dioxin contaminated areas. CONCLUSION These findings suggest that increased breast cancer incidences are spatially associated with soil dioxin contamination. Aging is a substantial factor in the development of breast cancer. Findings can be used for heightened surveillance and education, as well as formulating new study hypotheses for further research.
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Affiliation(s)
- Dajun Dai
- Environmental Resources and Policy Program, Southern Illinois University, 405 West Grand Avenue, MC 4637, Carbondale, IL 62901-4637, USA
- Department of Geography, Northern Illinois University, DeKalb, IL 60115, USA
| | - Tonny J Oyana
- Department of Geography and Environmental Resources, Southern Illinois University, 1000 Faner Drive, MC 4514, Carbondale, IL 62901-4514, USA
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