Cargando…

Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017

OBJECTIVES: To describe the association between population size, population growth and opioid overdose deaths—overall and by type of opioid—in US commuting zones (CZs) in three periods between 2005 and 2017. SETTINGS: 741 CZs covering the entirety of the US CZs are aggregations of counties based on...

Descripción completa

Detalles Bibliográficos
Autores principales: Mullachery, Pricila H, Lankenau, Stephen, Diez Roux, Ana V, Li, Ran, Henson, Rosie Mae, Bilal, Usama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896002/
https://www.ncbi.nlm.nih.gov/pubmed/35241464
http://dx.doi.org/10.1136/bmjopen-2021-048831
_version_ 1784663050863771648
author Mullachery, Pricila H
Lankenau, Stephen
Diez Roux, Ana V
Li, Ran
Henson, Rosie Mae
Bilal, Usama
author_facet Mullachery, Pricila H
Lankenau, Stephen
Diez Roux, Ana V
Li, Ran
Henson, Rosie Mae
Bilal, Usama
author_sort Mullachery, Pricila H
collection PubMed
description OBJECTIVES: To describe the association between population size, population growth and opioid overdose deaths—overall and by type of opioid—in US commuting zones (CZs) in three periods between 2005 and 2017. SETTINGS: 741 CZs covering the entirety of the US CZs are aggregations of counties based on commuting patterns that reflect local economies. PARTICIPANTS: We used mortality data at the county level from 2005 to 2017 from the National Center for Health Statistics. OUTCOME: Opioid overdose deaths were defined using underlying and contributory causes of death codes from the International Classification of Diseases, 10th revision (ICD-10). We used the underlying cause of death to identify all drug poisoning deaths. Contributory cause of death was used to classify opioid overdose deaths according to the three major types of opioid, that is, prescription opioids, heroin and synthetic opioids other than methadone. RESULTS: Opioid overdose deaths were disproportionally higher in largely populated CZs. A CZ with 1.0% larger population had 1.10%, 1.10%, and 1.16% higher opioid death count in 2005–2009, 2010–2014, and 2015–2017, respectively. This pattern was largely driven by a high number of deaths involving heroin and synthetic opioids, particularly in 2015–2017. Population growth over time was associated with lower age-adjusted opioid overdose mortality rate: a 1.0% increase in population over time was associated with 1.4% (95% CI: −2.8% to 0.1%), 4.5% (95% CI: −5.8% to −3.2%), and 1.2% (95% CI: −4.2% to 1.8%) lower opioid overdose mortality in 2005–2009, 2010–2014, and 2015–2017, respectively. The association between positive population growth and lower opioid mortality rates was stronger in larger CZs. CONCLUSIONS: Opioid overdose mortality in the USA was disproportionately higher in mid-sized and large CZs, particularly those affected by declines in population over time, regardless of the region where they are located.
format Online
Article
Text
id pubmed-8896002
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-88960022022-03-22 Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017 Mullachery, Pricila H Lankenau, Stephen Diez Roux, Ana V Li, Ran Henson, Rosie Mae Bilal, Usama BMJ Open Epidemiology OBJECTIVES: To describe the association between population size, population growth and opioid overdose deaths—overall and by type of opioid—in US commuting zones (CZs) in three periods between 2005 and 2017. SETTINGS: 741 CZs covering the entirety of the US CZs are aggregations of counties based on commuting patterns that reflect local economies. PARTICIPANTS: We used mortality data at the county level from 2005 to 2017 from the National Center for Health Statistics. OUTCOME: Opioid overdose deaths were defined using underlying and contributory causes of death codes from the International Classification of Diseases, 10th revision (ICD-10). We used the underlying cause of death to identify all drug poisoning deaths. Contributory cause of death was used to classify opioid overdose deaths according to the three major types of opioid, that is, prescription opioids, heroin and synthetic opioids other than methadone. RESULTS: Opioid overdose deaths were disproportionally higher in largely populated CZs. A CZ with 1.0% larger population had 1.10%, 1.10%, and 1.16% higher opioid death count in 2005–2009, 2010–2014, and 2015–2017, respectively. This pattern was largely driven by a high number of deaths involving heroin and synthetic opioids, particularly in 2015–2017. Population growth over time was associated with lower age-adjusted opioid overdose mortality rate: a 1.0% increase in population over time was associated with 1.4% (95% CI: −2.8% to 0.1%), 4.5% (95% CI: −5.8% to −3.2%), and 1.2% (95% CI: −4.2% to 1.8%) lower opioid overdose mortality in 2005–2009, 2010–2014, and 2015–2017, respectively. The association between positive population growth and lower opioid mortality rates was stronger in larger CZs. CONCLUSIONS: Opioid overdose mortality in the USA was disproportionately higher in mid-sized and large CZs, particularly those affected by declines in population over time, regardless of the region where they are located. BMJ Publishing Group 2022-03-03 /pmc/articles/PMC8896002/ /pubmed/35241464 http://dx.doi.org/10.1136/bmjopen-2021-048831 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Mullachery, Pricila H
Lankenau, Stephen
Diez Roux, Ana V
Li, Ran
Henson, Rosie Mae
Bilal, Usama
Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017
title Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017
title_full Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017
title_fullStr Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017
title_full_unstemmed Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017
title_short Urban scaling of opioid overdose deaths in the USA: a cross-sectional study in three periods between 2005 and 2017
title_sort urban scaling of opioid overdose deaths in the usa: a cross-sectional study in three periods between 2005 and 2017
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896002/
https://www.ncbi.nlm.nih.gov/pubmed/35241464
http://dx.doi.org/10.1136/bmjopen-2021-048831
work_keys_str_mv AT mullacherypricilah urbanscalingofopioidoverdosedeathsintheusaacrosssectionalstudyinthreeperiodsbetween2005and2017
AT lankenaustephen urbanscalingofopioidoverdosedeathsintheusaacrosssectionalstudyinthreeperiodsbetween2005and2017
AT diezrouxanav urbanscalingofopioidoverdosedeathsintheusaacrosssectionalstudyinthreeperiodsbetween2005and2017
AT liran urbanscalingofopioidoverdosedeathsintheusaacrosssectionalstudyinthreeperiodsbetween2005and2017
AT hensonrosiemae urbanscalingofopioidoverdosedeathsintheusaacrosssectionalstudyinthreeperiodsbetween2005and2017
AT bilalusama urbanscalingofopioidoverdosedeathsintheusaacrosssectionalstudyinthreeperiodsbetween2005and2017