Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England
Unintentional non-fire related (UNFR) carbon monoxide (CO) poisoning is a preventable cause of morbidity and mortality. Epidemiological data on UNFR CO poisoning can help monitor changes in the magnitude of this burden, particularly through comparisons of multiple countries, and to identify vulnerab...
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description | Unintentional non-fire related (UNFR) carbon monoxide (CO) poisoning is a preventable cause of morbidity and mortality. Epidemiological data on UNFR CO poisoning can help monitor changes in the magnitude of this burden, particularly through comparisons of multiple countries, and to identify vulnerable sub-groups of the population which may be more at risk. Here, we collected data on age- and sex- specific number of hospital admissions with a primary diagnosis of UNFR CO poisoning in England (2002–2016), aggregated to small areas, alongside area-level characteristics (i.e. deprivation, rurality and ethnicity). We analysed temporal trends using piecewise log-linear models and compared them to analogous data obtained for Canada, France, Spain and the US. We estimated age-standardized rates per 100,000 inhabitants by area-level characteristics using the WHO standard population (2000–2025). We then fitted the Besag York Mollie (BYM) model, a Bayesian hierarchical spatial model, to assess the independent effect of each area-level characteristic on the standardized risk of hospitalization. Temporal trends showed significant decreases after 2010. Decreasing trends were also observed across all countries studied, yet France had a 5-fold higher risk. Based on 3399 UNFR CO poisoning hospitalizations, we found an increased risk in areas classified as rural (0.69, 95% CrI: 0.67; 0.80), highly deprived (1.77, 95% CrI: 1.66; 2.10) or with the largest proportion of Asian (1.15, 95% CrI: 1.03; 1.49) or Black population (1.35, 95% CrI: 1.20; 1.80). Our multivariate approach provides strong evidence for the identification of vulnerable populations which can inform prevention policies and targeted interventions.
•Hospital admissions for carbon monoxide (CO) poisoning have decreased in England and other high-income countries.•Striking differences in age-standardized rates per 100,000 inhabitants were observed within Europe.•In England, the risk of UNFR CO poisoning is higher in rural areas, deprived areas, and ethnically diverse areas.•A better understanding of national, regional and local risk factors can help informing future prevention policies. |
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•Hospital admissions for carbon monoxide (CO) poisoning have decreased in England and other high-income countries.•Striking differences in age-standardized rates per 100,000 inhabitants were observed within Europe.•In England, the risk of UNFR CO poisoning is higher in rural areas, deprived areas, and ethnically diverse areas.•A better understanding of national, regional and local risk factors can help informing future prevention policies.</description><identifier>ISSN: 0091-7435</identifier><identifier>EISSN: 1096-0260</identifier><identifier>DOI: 10.1016/j.ypmed.2020.106104</identifier><identifier>PMID: 32353574</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Age standardisation ; Carbon monoxide ; Epidemiology ; Ethnicity ; Hospital Episode Statistics ; Incidence risk ratio ; International comparison ; Prevention policies ; Sociodemographic status</subject><ispartof>Preventive medicine, 2020-07, Vol.136, p.106104, Article 106104</ispartof><rights>2020</rights><rights>Crown Copyright © 2020. Published by Elsevier Inc. All rights reserved.</rights><rights>Crown Copyright © 2020 Published by Elsevier Inc. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-e035307881c61c6d35a73612ddd24a5d0848251ef9bd8ea626c832fc9f738b9e3</citedby><cites>FETCH-LOGICAL-c459t-e035307881c61c6d35a73612ddd24a5d0848251ef9bd8ea626c832fc9f738b9e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ypmed.2020.106104$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32353574$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roca-Barceló, Aina</creatorcontrib><creatorcontrib>Crabbe, Helen</creatorcontrib><creatorcontrib>Ghosh, Rebecca</creatorcontrib><creatorcontrib>Freni-Sterrantino, Anna</creatorcontrib><creatorcontrib>Fletcher, Tony</creatorcontrib><creatorcontrib>Leonardi, Giovanni</creatorcontrib><creatorcontrib>Hoge, Courtney</creatorcontrib><creatorcontrib>Hansell, Anna L.</creatorcontrib><creatorcontrib>Piel, Frédéric B.</creatorcontrib><title>Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England</title><title>Preventive medicine</title><addtitle>Prev Med</addtitle><description>Unintentional non-fire related (UNFR) carbon monoxide (CO) poisoning is a preventable cause of morbidity and mortality. Epidemiological data on UNFR CO poisoning can help monitor changes in the magnitude of this burden, particularly through comparisons of multiple countries, and to identify vulnerable sub-groups of the population which may be more at risk. Here, we collected data on age- and sex- specific number of hospital admissions with a primary diagnosis of UNFR CO poisoning in England (2002–2016), aggregated to small areas, alongside area-level characteristics (i.e. deprivation, rurality and ethnicity). We analysed temporal trends using piecewise log-linear models and compared them to analogous data obtained for Canada, France, Spain and the US. We estimated age-standardized rates per 100,000 inhabitants by area-level characteristics using the WHO standard population (2000–2025). We then fitted the Besag York Mollie (BYM) model, a Bayesian hierarchical spatial model, to assess the independent effect of each area-level characteristic on the standardized risk of hospitalization. Temporal trends showed significant decreases after 2010. Decreasing trends were also observed across all countries studied, yet France had a 5-fold higher risk. Based on 3399 UNFR CO poisoning hospitalizations, we found an increased risk in areas classified as rural (0.69, 95% CrI: 0.67; 0.80), highly deprived (1.77, 95% CrI: 1.66; 2.10) or with the largest proportion of Asian (1.15, 95% CrI: 1.03; 1.49) or Black population (1.35, 95% CrI: 1.20; 1.80). Our multivariate approach provides strong evidence for the identification of vulnerable populations which can inform prevention policies and targeted interventions.
•Hospital admissions for carbon monoxide (CO) poisoning have decreased in England and other high-income countries.•Striking differences in age-standardized rates per 100,000 inhabitants were observed within Europe.•In England, the risk of UNFR CO poisoning is higher in rural areas, deprived areas, and ethnically diverse areas.•A better understanding of national, regional and local risk factors can help informing future prevention policies.</description><subject>Age standardisation</subject><subject>Carbon monoxide</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Hospital Episode Statistics</subject><subject>Incidence risk ratio</subject><subject>International comparison</subject><subject>Prevention policies</subject><subject>Sociodemographic status</subject><issn>0091-7435</issn><issn>1096-0260</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UdtKxDAQDaK46-oXCJIf6JpLm7YPCiLeQPBlfQ5pMu1m3SYlqaJ_b9bVRV-EgYGZOefMzEHolJI5JVScr-YfQw9mzgjbVAQl-R6aUlKLjDBB9tGUkJpmZc6LCTqKcUUIpYLkh2jCGS94UeZTNCygH3xQazwGcCZi5Qw20PsuqGFpNQ42vuBW6dGHiFsf8NLHwY4JoExvY7TeRWxeAY8eaxUa73DvnX-3BvDgbfTOug5bh29ct07kx-igVesIJ995hp5vbxbX99nj093D9dVjpvOiHjMgaUNSVhXVIoXhhSq5oMwYw3JVGFLlFSsotHVjKlCCCV1x1uq6LXnV1MBn6HLLO7w26Usa3JiulEOwvQof0isr_3acXcrOv8mSCVZUNBHwLYEOPsYA7Q5LidwYIFfyywC5MUBuDUios9-yO8zPx9PAxXYA0vFvFoKM2oLTYGwAPUrj7b8Cn8fpm1s</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Roca-Barceló, Aina</creator><creator>Crabbe, Helen</creator><creator>Ghosh, Rebecca</creator><creator>Freni-Sterrantino, Anna</creator><creator>Fletcher, Tony</creator><creator>Leonardi, Giovanni</creator><creator>Hoge, Courtney</creator><creator>Hansell, Anna L.</creator><creator>Piel, Frédéric B.</creator><general>Elsevier Inc</general><general>Academic Press</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope></search><sort><creationdate>202007</creationdate><title>Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England</title><author>Roca-Barceló, Aina ; Crabbe, Helen ; Ghosh, Rebecca ; Freni-Sterrantino, Anna ; Fletcher, Tony ; Leonardi, Giovanni ; Hoge, Courtney ; Hansell, Anna L. ; Piel, Frédéric B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-e035307881c61c6d35a73612ddd24a5d0848251ef9bd8ea626c832fc9f738b9e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age standardisation</topic><topic>Carbon monoxide</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Hospital Episode Statistics</topic><topic>Incidence risk ratio</topic><topic>International comparison</topic><topic>Prevention policies</topic><topic>Sociodemographic status</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roca-Barceló, Aina</creatorcontrib><creatorcontrib>Crabbe, Helen</creatorcontrib><creatorcontrib>Ghosh, Rebecca</creatorcontrib><creatorcontrib>Freni-Sterrantino, Anna</creatorcontrib><creatorcontrib>Fletcher, Tony</creatorcontrib><creatorcontrib>Leonardi, Giovanni</creatorcontrib><creatorcontrib>Hoge, Courtney</creatorcontrib><creatorcontrib>Hansell, Anna L.</creatorcontrib><creatorcontrib>Piel, Frédéric B.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Preventive medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roca-Barceló, Aina</au><au>Crabbe, Helen</au><au>Ghosh, Rebecca</au><au>Freni-Sterrantino, Anna</au><au>Fletcher, Tony</au><au>Leonardi, Giovanni</au><au>Hoge, Courtney</au><au>Hansell, Anna L.</au><au>Piel, Frédéric B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England</atitle><jtitle>Preventive medicine</jtitle><addtitle>Prev Med</addtitle><date>2020-07</date><risdate>2020</risdate><volume>136</volume><spage>106104</spage><pages>106104-</pages><artnum>106104</artnum><issn>0091-7435</issn><eissn>1096-0260</eissn><abstract>Unintentional non-fire related (UNFR) carbon monoxide (CO) poisoning is a preventable cause of morbidity and mortality. Epidemiological data on UNFR CO poisoning can help monitor changes in the magnitude of this burden, particularly through comparisons of multiple countries, and to identify vulnerable sub-groups of the population which may be more at risk. Here, we collected data on age- and sex- specific number of hospital admissions with a primary diagnosis of UNFR CO poisoning in England (2002–2016), aggregated to small areas, alongside area-level characteristics (i.e. deprivation, rurality and ethnicity). We analysed temporal trends using piecewise log-linear models and compared them to analogous data obtained for Canada, France, Spain and the US. We estimated age-standardized rates per 100,000 inhabitants by area-level characteristics using the WHO standard population (2000–2025). We then fitted the Besag York Mollie (BYM) model, a Bayesian hierarchical spatial model, to assess the independent effect of each area-level characteristic on the standardized risk of hospitalization. Temporal trends showed significant decreases after 2010. Decreasing trends were also observed across all countries studied, yet France had a 5-fold higher risk. Based on 3399 UNFR CO poisoning hospitalizations, we found an increased risk in areas classified as rural (0.69, 95% CrI: 0.67; 0.80), highly deprived (1.77, 95% CrI: 1.66; 2.10) or with the largest proportion of Asian (1.15, 95% CrI: 1.03; 1.49) or Black population (1.35, 95% CrI: 1.20; 1.80). Our multivariate approach provides strong evidence for the identification of vulnerable populations which can inform prevention policies and targeted interventions.
•Hospital admissions for carbon monoxide (CO) poisoning have decreased in England and other high-income countries.•Striking differences in age-standardized rates per 100,000 inhabitants were observed within Europe.•In England, the risk of UNFR CO poisoning is higher in rural areas, deprived areas, and ethnically diverse areas.•A better understanding of national, regional and local risk factors can help informing future prevention policies.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>32353574</pmid><doi>10.1016/j.ypmed.2020.106104</doi><oa>free_for_read</oa></addata></record> |
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subjects | Age standardisation Carbon monoxide Epidemiology Ethnicity Hospital Episode Statistics Incidence risk ratio International comparison Prevention policies Sociodemographic status |
title | Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England |
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