Evidence map›Paper›PMID 31316084›Full record

ArticleScientific reports2019

A novel approach for geographical risk mapping of morbidity and mortality rates: the case of Val D'Agri, Italy.

Andrea Duggento, Nicola Toschi, Antonio Pietroiusti, Loredana Musmeci, Ersilia Buonomo, Stefania Moramarco, Francesca Lucaroni, Paolo Boffetta, Leonardo Palombi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Andrea DuggentoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.ORCID http://orcid.org/0000-0001-6030-5269
Nicola ToschiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.ORCID http://orcid.org/0000-0003-1929-5833
Antonio PietroiustiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Loredana MusmeciHench Legal & Compliance Consulting, Rome, Italy.
Ersilia BuonomoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Stefania MoramarcoDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Francesca LucaroniDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Paolo BoffettaTisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. paolo.boffetta@mssm.edu.ORCID http://orcid.org/0000-0002-3811-2791
Leonardo PalombiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While associations between exposure to air pollutants and increased morbidity and mortality are well established, few rigorous studies on this issue are available. The aim of the current study is to implement a new approach to the spatial analysis of mortality and morbidity, based on testing for the presence of the same association in other areas of similar size. Additionally, we perform a case study in Val d'Agri (VA), an area of Basilicata Region, Southern Italy, where oil and natural gas extraction began in 1998. In order to examine the spatial distribution of morbidity and mortality in the region of interest, Hospital discharge (2001-2013) and mortality (2003-2014) rates for the main environment-related diseases were calculated. In addition, a comparison between the period 1980-1998 and the period 1999-2014 was performed for cardiovascular disease mortality. For the period under study, a neutral scenario emerged for cancer and respiratory diseases, where we found no differences in morbidity and mortality as compared to the national benchmark. In some cases significantly lower values (as compared to the nation-wide benchmark) were found. Conversely, a slight excess in morbidity and mortality (as compared to the nation-wide benchmark) emerged for cardiovascular diseases. Still, this excess was common to a number of municipalities in the surroundings of VA, and appeared to be already present in 1980. Higher rates of cardiovascular diseases, lower rates of neoplastic disorders no differences in mortality for respiratory causes (as compared to the nation-wide benchmark) were found in multiple areas of the region, and were therefore not specific to VA. In summary, our data do not support the hypothesis of a role of industrial activities related to oil extraction in VA in determining mortality and morbidity patterns and trends.

Indexed as

Geographic MappingMorbidityMortalityAdolescentAdultAgedAged, 80 and overCardiovascular DiseasesChildChild, PreschoolEnvironmental HealthFemaleHumansInfantInfant, NewbornItaly

Identifiers

PMID31316084
PMCPMC6637145

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.