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Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)

BACKGROUND: Excess alcohol consumption has serious adverse effects on health and violence-related harm. In the UK around 37% of men and 29% of women drink to excess and 20% and 13% report binge drinking. The potential impact on population health from a reduction in consumption is considerable. One p...

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Autores principales: Fone, David, Dunstan, Frank, White, James, Webster, Chris, Rodgers, Sarah, Lee, Shin, Shiode, Narushige, Orford, Scott, Weightman, Alison, Brennan, Iain, Sivarajasingam, Vas, Morgan, Jennifer, Fry, Richard, Lyons, Ronan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409073/
https://www.ncbi.nlm.nih.gov/pubmed/22691534
http://dx.doi.org/10.1186/1471-2458-12-428
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author Fone, David
Dunstan, Frank
White, James
Webster, Chris
Rodgers, Sarah
Lee, Shin
Shiode, Narushige
Orford, Scott
Weightman, Alison
Brennan, Iain
Sivarajasingam, Vas
Morgan, Jennifer
Fry, Richard
Lyons, Ronan
author_facet Fone, David
Dunstan, Frank
White, James
Webster, Chris
Rodgers, Sarah
Lee, Shin
Shiode, Narushige
Orford, Scott
Weightman, Alison
Brennan, Iain
Sivarajasingam, Vas
Morgan, Jennifer
Fry, Richard
Lyons, Ronan
author_sort Fone, David
collection PubMed
description BACKGROUND: Excess alcohol consumption has serious adverse effects on health and violence-related harm. In the UK around 37% of men and 29% of women drink to excess and 20% and 13% report binge drinking. The potential impact on population health from a reduction in consumption is considerable. One proposed method to reduce consumption is to reduce availability through controls on alcohol outlet density. In this study we investigate the impact of a change in the density of alcohol outlets on alcohol consumption and alcohol-related harms to health in the community. METHODS/DESIGN: A natural experiment of the effect of change in outlet density between 2005–09, in Wales, UK; population 2.4 million aged 16 years and over. Data on outlets are held by the 22 local authorities in Wales under The Licensing Act 2003. The study outcomes are change in (1) alcohol consumption using data from annual Welsh Health Surveys, (2) alcohol-related hospital admissions using the Patient Episode Database for Wales, (3) Accident & Emergency department attendances between midnight–6am, and (4) alcohol-related violent crime against the person, using Police data. The data will be anonymously record-linked within the Secure Anonymised Information Linkage Databank at individual and 2001 Census Lower Super Output Area levels. New methods of network analysis will be used to estimate outlet density. Longitudinal statistical analysis will use (1) multilevel ordinal models of consumption and logistic models of admissions and Accident & Emergency attendance as a function of change in individual outlet exposure, adjusting for confounding variables, and (2) spatial models of the change in counts/rates of each outcome measure and outlet density. We will assess the impact on health inequalities and will correct for population migration. DISCUSSION: This inter-disciplinary study requires expertise in epidemiology and public health, health informatics, medical statistics, geographical information science, and research into alcohol-related violence. Information governance requirements for the use of record-linked data have been approved together with formal data access agreements for the use of the Welsh Health Survey and Police data. The dissemination strategy will include policy makers in national and local government. Public engagement will be through the Clinical Research Collaboration-Cymru "Involving People" network, which will provide input into the implementation of the research.
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spelling pubmed-34090732012-08-01 Change in alcohol outlet density and alcohol-related harm to population health (CHALICE) Fone, David Dunstan, Frank White, James Webster, Chris Rodgers, Sarah Lee, Shin Shiode, Narushige Orford, Scott Weightman, Alison Brennan, Iain Sivarajasingam, Vas Morgan, Jennifer Fry, Richard Lyons, Ronan BMC Public Health Study Protocol BACKGROUND: Excess alcohol consumption has serious adverse effects on health and violence-related harm. In the UK around 37% of men and 29% of women drink to excess and 20% and 13% report binge drinking. The potential impact on population health from a reduction in consumption is considerable. One proposed method to reduce consumption is to reduce availability through controls on alcohol outlet density. In this study we investigate the impact of a change in the density of alcohol outlets on alcohol consumption and alcohol-related harms to health in the community. METHODS/DESIGN: A natural experiment of the effect of change in outlet density between 2005–09, in Wales, UK; population 2.4 million aged 16 years and over. Data on outlets are held by the 22 local authorities in Wales under The Licensing Act 2003. The study outcomes are change in (1) alcohol consumption using data from annual Welsh Health Surveys, (2) alcohol-related hospital admissions using the Patient Episode Database for Wales, (3) Accident & Emergency department attendances between midnight–6am, and (4) alcohol-related violent crime against the person, using Police data. The data will be anonymously record-linked within the Secure Anonymised Information Linkage Databank at individual and 2001 Census Lower Super Output Area levels. New methods of network analysis will be used to estimate outlet density. Longitudinal statistical analysis will use (1) multilevel ordinal models of consumption and logistic models of admissions and Accident & Emergency attendance as a function of change in individual outlet exposure, adjusting for confounding variables, and (2) spatial models of the change in counts/rates of each outcome measure and outlet density. We will assess the impact on health inequalities and will correct for population migration. DISCUSSION: This inter-disciplinary study requires expertise in epidemiology and public health, health informatics, medical statistics, geographical information science, and research into alcohol-related violence. Information governance requirements for the use of record-linked data have been approved together with formal data access agreements for the use of the Welsh Health Survey and Police data. The dissemination strategy will include policy makers in national and local government. Public engagement will be through the Clinical Research Collaboration-Cymru "Involving People" network, which will provide input into the implementation of the research. BioMed Central 2012-06-12 /pmc/articles/PMC3409073/ /pubmed/22691534 http://dx.doi.org/10.1186/1471-2458-12-428 Text en Copyright ©2012 Fone et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Fone, David
Dunstan, Frank
White, James
Webster, Chris
Rodgers, Sarah
Lee, Shin
Shiode, Narushige
Orford, Scott
Weightman, Alison
Brennan, Iain
Sivarajasingam, Vas
Morgan, Jennifer
Fry, Richard
Lyons, Ronan
Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)
title Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)
title_full Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)
title_fullStr Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)
title_full_unstemmed Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)
title_short Change in alcohol outlet density and alcohol-related harm to population health (CHALICE)
title_sort change in alcohol outlet density and alcohol-related harm to population health (chalice)
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409073/
https://www.ncbi.nlm.nih.gov/pubmed/22691534
http://dx.doi.org/10.1186/1471-2458-12-428
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