Reweighting National Survey Data for Small Area Behaviour Estimates: Modelling Alcohol Consumption in Local Authorities in England

Overview

Journal Popul Health Metr

Publisher Biomed Central

Specialty Public Health

Date 2020 Jan 4

PMID 31898545

Citations 1

Authors

Robert Pryce

Colin Angus

John Holmes

Duncan Gillespie

Penny Buykx

Petra Meier

Matt Hickman

Frank De Vocht

Alan Brennan

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

Impact of the use of small-area models on estimation of attributable mortality at a regional level.

Rey-Brandariz J, Santiago-Perez M, Candal-Pedreira C, Varela-Lema L, Ruano-Ravina A, Lopez-Vizcaino E Eur J Public Health. 2024; 34(6):1218-1224.

PMID: 38905591 PMC: 11631475. DOI: 10.1093/eurpub/ckae104.

References

Maguire E, Burgoine T, Monsivais P . Area deprivation and the food environment over time: A repeated cross-sectional study on takeaway outlet density and supermarket presence in Norfolk, UK, 1990-2008. Health Place. 2015; 33:142-7. PMC: 4415115. DOI: 10.1016/j.healthplace.2015.02.012. View

Newton J, Briggs A, Murray C, Dicker D, Foreman K, Wang H . Changes in health in England, with analysis by English regions and areas of deprivation, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015; 386(10010):2257-74. PMC: 4672153. DOI: 10.1016/S0140-6736(15)00195-6. View

Song L, Mercer L, Wakefield J, Laurent A, Solet D . Using Small-Area Estimation to Calculate the Prevalence of Smoking by Subcounty Geographic Areas in King County, Washington, Behavioral Risk Factor Surveillance System, 2009-2013. Prev Chronic Dis. 2016; 13:E59. PMC: 4858449. DOI: 10.5888/pcd13.150536. View

de Vocht F, Heron J, Angus C, Brennan A, Mooney J, Lock K . Measurable effects of local alcohol licensing policies on population health in England. J Epidemiol Community Health. 2015; 70(3):231-7. PMC: 4789824. DOI: 10.1136/jech-2015-206040. View

Twigg L, Moon G, Jones K . Predicting small-area health-related behaviour: a comparison of smoking and drinking indicators. Soc Sci Med. 2000; 50(7-8):1109-20. DOI: 10.1016/s0277-9536(99)00359-7. View

Twigg L, Moon G . Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data. Soc Sci Med. 2002; 54(6):931-7. DOI: 10.1016/s0277-9536(01)00065-x. View

Shortt N, Tisch C, Pearce J, Mitchell R, Richardson E, Hill S . A cross-sectional analysis of the relationship between tobacco and alcohol outlet density and neighbourhood deprivation. BMC Public Health. 2015; 15:1014. PMC: 4595054. DOI: 10.1186/s12889-015-2321-1. View

Beard E, Brown J, West R, Angus C, Kaner E, Michie S . Healthier central England or North-South divide? Analysis of national survey data on smoking and high-risk drinking. BMJ Open. 2017; 7(3):e014210. PMC: 5353327. DOI: 10.1136/bmjopen-2016-014210. View

Szatkowski L, Fahy S, Coleman T, Taylor J, Twigg L, Moon G . Small area synthetic estimates of smoking prevalence during pregnancy in England. Popul Health Metr. 2015; 13:34. PMC: 4674906. DOI: 10.1186/s12963-015-0067-8. View

10.

Bellis M, Hughes K, Nicholls J, Sheron N, Gilmore I, Jones L . The alcohol harm paradox: using a national survey to explore how alcohol may disproportionately impact health in deprived individuals. BMC Public Health. 2016; 16:111. PMC: 4758164. DOI: 10.1186/s12889-016-2766-x. View

11.

Angus C, Holmes J, Maheswaran R, Green M, Meier P, Brennan A . Mapping Patterns and Trends in the Spatial Availability of Alcohol Using Low-Level Geographic Data: A Case Study in England 2003-2013. Int J Environ Res Public Health. 2017; 14(4). PMC: 5409607. DOI: 10.3390/ijerph14040406. View

12.

Meier P, Purshouse R, Brennan A . Policy options for alcohol price regulation: the importance of modelling population heterogeneity. Addiction. 2009; 105(3):383-93. DOI: 10.1111/j.1360-0443.2009.02721.x. View

13.

Siegler V, Al-Hamad A, Johnson B, Wells C, Sheron N . Social inequalities in alcohol-related adult mortality by National Statistics Socio-economic Classification, England and Wales, 2001-03. Health Stat Q. 2011; (50):4-39. DOI: 10.1057/hsq.2011.7. View

14.

de Vocht F, Heron J, Campbell R, Egan M, Mooney J, Angus C . Testing the impact of local alcohol licencing policies on reported crime rates in England. J Epidemiol Community Health. 2016; 71(2):137-145. PMC: 5284476. DOI: 10.1136/jech-2016-207753. View

15.

Huckle T, You R, Casswell S . Socio-economic status predicts drinking patterns but not alcohol-related consequences independently. Addiction. 2010; 105(7):1192-202. DOI: 10.1111/j.1360-0443.2010.02931.x. View

16.

Bloomfield K, Stockwell T, Gmel G, Rehn N . International comparisons of alcohol consumption. Alcohol Res Health. 2004; 27(1):95-109. PMC: 6676703. View