Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data
Amyotrophic lateral sclerosis (ALS) is a rare and devastating neurological disorder of the adult age with a prognosis of about 2–3 years from the onset of the disease. No clear cause has been identified but it seems to be a multifactorial disease with genetic and environmental components involved. I...
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Veröffentlicht in: | European journal of epidemiology 2007-11, Vol.22 (11), p.781-790 |
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description | Amyotrophic lateral sclerosis (ALS) is a rare and devastating neurological disorder of the adult age with a prognosis of about 2–3 years from the onset of the disease. No clear cause has been identified but it seems to be a multifactorial disease with genetic and environmental components involved. Increments of mortality rates were observed since 1980 both in Italy and in many other countries. The objective of the present study is to describe the distribution of ALS mortality in Italy in the period 1980–2001 detecting single municipalities or clusters with high mortality levels for motor neuron disease (MND). ALS represents the main part (85%) of the MND group which is globally identified by the IX ICD (International Classification of Diseases and Causes of Death) 335.2 code. Death numbers and standardized mortality ratios (SMR) for MND were calculated for all Italian municipalities through the ENEA mortality database system (data source: National Institute of Statistics—ISTAT), using national mortality rates as reference. Subsequently, in order to detect municipal clusters, spatial analysis was performed. Out of the 8,099 Italian municipalities, 132 where characterized by SMR values higher than expected. Moreover 16 clusters with significant high relative risk values (RR) were identified, 12 out of them including only a single municipality. Only 22 of the municipalities with high SMR were included in the clusters. In conclusion, the two different epidemiological methodologies demonstrated to be widely complementary in detecting the geographical distribution of the disease in terms of risk for populations. A first selection of the priority areas where analytical studies should be carried on, in order to identify risk factors associated to ALS, is tentatively suggested. |
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No clear cause has been identified but it seems to be a multifactorial disease with genetic and environmental components involved. Increments of mortality rates were observed since 1980 both in Italy and in many other countries. The objective of the present study is to describe the distribution of ALS mortality in Italy in the period 1980–2001 detecting single municipalities or clusters with high mortality levels for motor neuron disease (MND). ALS represents the main part (85%) of the MND group which is globally identified by the IX ICD (International Classification of Diseases and Causes of Death) 335.2 code. Death numbers and standardized mortality ratios (SMR) for MND were calculated for all Italian municipalities through the ENEA mortality database system (data source: National Institute of Statistics—ISTAT), using national mortality rates as reference. Subsequently, in order to detect municipal clusters, spatial analysis was performed. Out of the 8,099 Italian municipalities, 132 where characterized by SMR values higher than expected. Moreover 16 clusters with significant high relative risk values (RR) were identified, 12 out of them including only a single municipality. Only 22 of the municipalities with high SMR were included in the clusters. In conclusion, the two different epidemiological methodologies demonstrated to be widely complementary in detecting the geographical distribution of the disease in terms of risk for populations. A first selection of the priority areas where analytical studies should be carried on, in order to identify risk factors associated to ALS, is tentatively suggested.</description><identifier>ISSN: 0393-2990</identifier><identifier>EISSN: 1573-7284</identifier><identifier>DOI: 10.1007/s10654-007-9173-7</identifier><identifier>PMID: 17874192</identifier><identifier>CODEN: EJEPE8</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>Aged ; Amyotrophic lateral sclerosis ; Amyotrophic Lateral Sclerosis - mortality ; Biological and medical sciences ; Cluster Analysis ; Death certificates ; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases ; Disease risk ; Epidemiology ; Female ; General aspects ; Geographic regions ; Geographical distribution ; Geography ; Humans ; Italy - epidemiology ; Male ; Medical genetics ; Medical sciences ; Miscellaneous ; Mortality ; Motor neuron disease ; Nervous system diseases ; Neurological disorders ; Neurology ; NEURO–EPIDEMIOLOGY ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk factors ; Spatial analysis ; Statistical analysis</subject><ispartof>European journal of epidemiology, 2007-11, Vol.22 (11), p.781-790</ispartof><rights>2007 Springer Science+Business Media B.V.</rights><rights>2008 INIST-CNRS</rights><rights>Springer Science+Business Media B.V. 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-4d9fb467af557d4e35a50d4d1477e22af61a6dc3b18bbbe82977942cd1447ce83</citedby><cites>FETCH-LOGICAL-c409t-4d9fb467af557d4e35a50d4d1477e22af61a6dc3b18bbbe82977942cd1447ce83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27822840$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27822840$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,781,785,804,27929,27930,58022,58255</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19241177$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17874192$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Uccelli, Raffaella</creatorcontrib><creatorcontrib>Binazzi, Alessandra</creatorcontrib><creatorcontrib>Altavista, Pierluigi</creatorcontrib><creatorcontrib>Belli, Stefano</creatorcontrib><creatorcontrib>Comba, Pietro</creatorcontrib><creatorcontrib>Mastrantonio, Marina</creatorcontrib><creatorcontrib>Vanacore, Nicola</creatorcontrib><title>Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data</title><title>European journal of epidemiology</title><addtitle>Eur J Epidemiol</addtitle><description>Amyotrophic lateral sclerosis (ALS) is a rare and devastating neurological disorder of the adult age with a prognosis of about 2–3 years from the onset of the disease. No clear cause has been identified but it seems to be a multifactorial disease with genetic and environmental components involved. Increments of mortality rates were observed since 1980 both in Italy and in many other countries. The objective of the present study is to describe the distribution of ALS mortality in Italy in the period 1980–2001 detecting single municipalities or clusters with high mortality levels for motor neuron disease (MND). ALS represents the main part (85%) of the MND group which is globally identified by the IX ICD (International Classification of Diseases and Causes of Death) 335.2 code. Death numbers and standardized mortality ratios (SMR) for MND were calculated for all Italian municipalities through the ENEA mortality database system (data source: National Institute of Statistics—ISTAT), using national mortality rates as reference. Subsequently, in order to detect municipal clusters, spatial analysis was performed. Out of the 8,099 Italian municipalities, 132 where characterized by SMR values higher than expected. Moreover 16 clusters with significant high relative risk values (RR) were identified, 12 out of them including only a single municipality. Only 22 of the municipalities with high SMR were included in the clusters. In conclusion, the two different epidemiological methodologies demonstrated to be widely complementary in detecting the geographical distribution of the disease in terms of risk for populations. A first selection of the priority areas where analytical studies should be carried on, in order to identify risk factors associated to ALS, is tentatively suggested.</description><subject>Aged</subject><subject>Amyotrophic lateral sclerosis</subject><subject>Amyotrophic Lateral Sclerosis - mortality</subject><subject>Biological and medical sciences</subject><subject>Cluster Analysis</subject><subject>Death certificates</subject><subject>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</subject><subject>Disease risk</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Geographic regions</subject><subject>Geographical distribution</subject><subject>Geography</subject><subject>Humans</subject><subject>Italy - epidemiology</subject><subject>Male</subject><subject>Medical genetics</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Mortality</subject><subject>Motor neuron disease</subject><subject>Nervous system diseases</subject><subject>Neurological disorders</subject><subject>Neurology</subject><subject>NEURO–EPIDEMIOLOGY</subject><subject>Public health. Hygiene</subject><subject>Public health. 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Leukodystrophies. Prion diseases</topic><topic>Disease risk</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>Geographic regions</topic><topic>Geographical distribution</topic><topic>Geography</topic><topic>Humans</topic><topic>Italy - epidemiology</topic><topic>Male</topic><topic>Medical genetics</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Mortality</topic><topic>Motor neuron disease</topic><topic>Nervous system diseases</topic><topic>Neurological disorders</topic><topic>Neurology</topic><topic>NEURO–EPIDEMIOLOGY</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk factors</topic><topic>Spatial analysis</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uccelli, Raffaella</creatorcontrib><creatorcontrib>Binazzi, Alessandra</creatorcontrib><creatorcontrib>Altavista, Pierluigi</creatorcontrib><creatorcontrib>Belli, Stefano</creatorcontrib><creatorcontrib>Comba, Pietro</creatorcontrib><creatorcontrib>Mastrantonio, Marina</creatorcontrib><creatorcontrib>Vanacore, Nicola</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uccelli, Raffaella</au><au>Binazzi, Alessandra</au><au>Altavista, Pierluigi</au><au>Belli, Stefano</au><au>Comba, Pietro</au><au>Mastrantonio, Marina</au><au>Vanacore, Nicola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data</atitle><jtitle>European journal of epidemiology</jtitle><addtitle>Eur J Epidemiol</addtitle><date>2007-11-01</date><risdate>2007</risdate><volume>22</volume><issue>11</issue><spage>781</spage><epage>790</epage><pages>781-790</pages><issn>0393-2990</issn><eissn>1573-7284</eissn><coden>EJEPE8</coden><abstract>Amyotrophic lateral sclerosis (ALS) is a rare and devastating neurological disorder of the adult age with a prognosis of about 2–3 years from the onset of the disease. No clear cause has been identified but it seems to be a multifactorial disease with genetic and environmental components involved. Increments of mortality rates were observed since 1980 both in Italy and in many other countries. The objective of the present study is to describe the distribution of ALS mortality in Italy in the period 1980–2001 detecting single municipalities or clusters with high mortality levels for motor neuron disease (MND). ALS represents the main part (85%) of the MND group which is globally identified by the IX ICD (International Classification of Diseases and Causes of Death) 335.2 code. Death numbers and standardized mortality ratios (SMR) for MND were calculated for all Italian municipalities through the ENEA mortality database system (data source: National Institute of Statistics—ISTAT), using national mortality rates as reference. Subsequently, in order to detect municipal clusters, spatial analysis was performed. Out of the 8,099 Italian municipalities, 132 where characterized by SMR values higher than expected. Moreover 16 clusters with significant high relative risk values (RR) were identified, 12 out of them including only a single municipality. Only 22 of the municipalities with high SMR were included in the clusters. In conclusion, the two different epidemiological methodologies demonstrated to be widely complementary in detecting the geographical distribution of the disease in terms of risk for populations. A first selection of the priority areas where analytical studies should be carried on, in order to identify risk factors associated to ALS, is tentatively suggested.</abstract><cop>Dordrecht</cop><pub>Springer</pub><pmid>17874192</pmid><doi>10.1007/s10654-007-9173-7</doi><tpages>10</tpages></addata></record> |
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subjects | Aged Amyotrophic lateral sclerosis Amyotrophic Lateral Sclerosis - mortality Biological and medical sciences Cluster Analysis Death certificates Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases Disease risk Epidemiology Female General aspects Geographic regions Geographical distribution Geography Humans Italy - epidemiology Male Medical genetics Medical sciences Miscellaneous Mortality Motor neuron disease Nervous system diseases Neurological disorders Neurology NEURO–EPIDEMIOLOGY Public health. Hygiene Public health. Hygiene-occupational medicine Risk factors Spatial analysis Statistical analysis |
title | Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data |
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