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Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England
BACKGROUND: There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic areas. METHODS: This paper presents a method...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941256/ https://www.ncbi.nlm.nih.gov/pubmed/31898545 http://dx.doi.org/10.1186/s12963-019-0201-0 |
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author | Pryce, Robert Angus, Colin Holmes, John Gillespie, Duncan Buykx, Penny Meier, Petra Hickman, Matt de Vocht, Frank Brennan, Alan |
author_facet | Pryce, Robert Angus, Colin Holmes, John Gillespie, Duncan Buykx, Penny Meier, Petra Hickman, Matt de Vocht, Frank Brennan, Alan |
author_sort | Pryce, Robert |
collection | PubMed |
description | BACKGROUND: There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic areas. METHODS: This paper presents a method for reweighting national survey data—the Health Survey for England—by combining survey and routine data to produce simulated locally representative survey data and provide statistics of alcohol consumption for each Local Authority in England. RESULTS: We find a 2-fold difference in estimated mean alcohol consumption between the lightest and heaviest drinking Local Authorities, a 4.5-fold difference in abstention rates, and a 3.5-fold difference in harmful drinking. The method compares well to direct estimates from the data at regional level. CONCLUSIONS: The results have important policy implications in itself, but the reweighted data can also be used to model local policy effects. This method can also be used for other public health small area estimation where locally representative data are not available. |
format | Online Article Text |
id | pubmed-6941256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69412562020-01-06 Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England Pryce, Robert Angus, Colin Holmes, John Gillespie, Duncan Buykx, Penny Meier, Petra Hickman, Matt de Vocht, Frank Brennan, Alan Popul Health Metr Research BACKGROUND: There are likely to be differences in alcohol consumption levels and patterns across local areas within a country, yet survey data is often collected at the national or sub-national/regional level and is not representative for small geographic areas. METHODS: This paper presents a method for reweighting national survey data—the Health Survey for England—by combining survey and routine data to produce simulated locally representative survey data and provide statistics of alcohol consumption for each Local Authority in England. RESULTS: We find a 2-fold difference in estimated mean alcohol consumption between the lightest and heaviest drinking Local Authorities, a 4.5-fold difference in abstention rates, and a 3.5-fold difference in harmful drinking. The method compares well to direct estimates from the data at regional level. CONCLUSIONS: The results have important policy implications in itself, but the reweighted data can also be used to model local policy effects. This method can also be used for other public health small area estimation where locally representative data are not available. BioMed Central 2020-01-02 /pmc/articles/PMC6941256/ /pubmed/31898545 http://dx.doi.org/10.1186/s12963-019-0201-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Pryce, Robert Angus, Colin Holmes, John Gillespie, Duncan Buykx, Penny Meier, Petra Hickman, Matt de Vocht, Frank Brennan, Alan Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England |
title | Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England |
title_full | Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England |
title_fullStr | Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England |
title_full_unstemmed | Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England |
title_short | Reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in Local Authorities in England |
title_sort | reweighting national survey data for small area behaviour estimates: modelling alcohol consumption in local authorities in england |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941256/ https://www.ncbi.nlm.nih.gov/pubmed/31898545 http://dx.doi.org/10.1186/s12963-019-0201-0 |
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