How is alcohol consumption affected if we account for under-reporting? A hypothetical scenario

Boniface, Sadie; Shelton, Nicola

doi:10.1093/eurpub/ckt016

Cited by 80 publications

(66 citation statements)

References 15 publications

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“…People are likely to underestimate unhealthy health behavior, such as cigarette smoking [16], or alcohol abuse as self-estimated [17]. It has been shown that the main reasons for nonresponse in self-reported surveys are probably the predisposing sociodemographic and behavioral factors [18,19]: nonrespondents are more likely to represent the low socioeconomic status and have more unhealthy behaviors than respondents.…”

Section: Discussionmentioning

confidence: 99%

Determinants of non-participation in a mass screening program for colorectal cancer in Finland

et al. 2016

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Background: For an effective colorectal cancer (CRC) screening program, high participation rate is essential. However, non-participation in CRC screening program has increased in Finland. Material and methods: The study was based on a population-based nationwide cohort of persons invited for CRC screening in [2004][2005][2006][2007][2008][2009][2010][2011]. Information on the first round of the CRC screening participation and related background factors was obtained from the Finnish Cancer Registry, and information about health behavior factors from the Health Behavior Survey (HBS) in 1978-1999. Non-participation in CRC screening was analyzed with Poisson regression as incidence rate ratios (IRR) with 95% confidence intervals (95% CI). Results: Of all persons invited for CRC screening (79 871 men and 80 891 women) 35% of men and 21% of women refused. Of those invited for screening, 2456 men (3.1%) and 2507 women (3.1%) were also invited to the HBS. Persons, who declined HBS, were also more likely to refuse CRC screening (men IRR 1.40, 95% CI 1.26-1.56, women 1.75, 1.52-2.02) compared to HBS participants. Never married persons had about a 75% higher risk for refusing than married ones. The youngest age group (60 years) was more likely to refuse screening than the older age groups (62 or >64 years). Smoking was associated with non-participation in screening (current smokers, men: IRR 1.32, 95% CI 1.05-1.67, women: 2.10, 1.61-2.73). Conclusions: Participation in CRC screening was affected by gender, age, and marital status. Persons, who refused the HBS, were also more likely to refuse CRC screening. Smoking was a risk factor for nonparticipation in CRC screening.

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Section: Discussionmentioning

confidence: 99%

Determinants of non-participation in a mass screening program for colorectal cancer in Finland

et al. 2016

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“…The Offi ce for National Statistics and the Health and Social Care Information Centre report mean values for alcohol consumption, 13 and mean consumption values are used in the Sheffi eld Alcohol Policy Model. 14 We present consumption and derived data using mean, 95% confi dence intervals (CIs), median, interquartile range (IQR) and categorised data, as appropriate.…”

Section: Data Analysis and Presentationmentioning

confidence: 99%

Impact of minimum price per unit of alcohol on patients with liver disease in the UK

et al. 2014

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The slow epidemic of liver disease in the UK over the past 30 years is a result of increased consumption of strong cheap alcohol. When we examined alcohol consumption in 404 subjects with a range of liver disease, we confi rmed that patients with alcohol-related cirrhosis drank huge amounts of cheap alcohol, with a mean weekly consumption of 146 units in men and 142 in women at a median price of 33p/unit compared with £1.10 for low-risk drinkers. For the patients in our study, the impact of a minimum unit price of 50p/unit on spending on alcohol would be 200 times higher for patients with liver disease who were drinking at harmful levels than for low-risk drinkers. As a health policy, a minimum unit price for alcohol is exquisitely targeted at the heaviest drinkers, for whom the impact of alcohol-related illness is most devastating.

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“…This increase has seen the intake of alcohol rise from 3 litres of pure alcohol per capita in the 1930s to 10 litres per capita in 2006 [35]. The increase in alcohol consumption has been linked to an increase in A&E admittance, anti-social behaviour within town centres [7], and a positive relationship to mortality -the majority of alcohol-related deaths across the world come from injury, liver cirrhosis, poisoning, and malignancy, which contributes to 4% of all fatalities per year [38,32,5].…”

Section: Introductionmentioning

confidence: 99%

“…As mentioned before, the lag between gathering the information to publishing it means that it may quickly become obsolete, and the methods used (QF over TL) may not give the necessary insights for stakeholders. Another issue with reports of this nature is that there are tendencies to underestimate the total consumption of alcohol by up to 40% [5]. This can be seen by extrapolating the number of units consumed per capita from the survey data to the total consumed by the population, compared to real sales figures of alcohol in the UK.…”

Section: Introductionmentioning

confidence: 99%

“…This can be seen by extrapolating the number of units consumed per capita from the survey data to the total consumed by the population, compared to real sales figures of alcohol in the UK. This under-reporting has been put down to a number of reasons; selective reporting from people unwilling to report how much they actually drink, recall bias from not remembering what has been drunk as a side-e↵ect from excessive consumption, and accidental under-estimation through misestimation of measures [5].…”

Section: Introductionmentioning

confidence: 99%

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Towards tracking and analysing regional alcohol consumption patterns in the UK through the use of social media

Kershaw

Rowe

Stacey

2014

Proceedings of the 2014 ACM Conference on Web Science

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• Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. ABSTRACTMonitoring rates of alcohol consumption across the UK is a timely problem due to ever-increasing drinking levels [36]. This has led to calls from public services (e.g. police and health services) to assess the e↵ect it is having on people and society. Current research methods that are utilised to assess consumption patterns are costly, time consuming, and do not supply su ciently detailed results. This is because they look at snapshots of individuals' drinking patterns, which rely on generalised usage patterns, and post consumption recall. In this paper we look into the use of social media such as Twitter (a popular micro blogging site) to monitor the rate of alcohol consumption in regions across the UK by introducing the Social Media Alcohol Index (SMAI). By looking at the variation in term usage, and treating the social network as a spatio-temporal self-reporting sense-network, we aim to discover variation in drinking patterns on both local and national levels within the UK. This study used 31.6 million tweets collected over a 6 week period, and used the Health & Social Care Information Centre (HSCIC) weekly alcohol consumption pattern as a ground truth. High correlations between the ground truth and the computed SMAI (Social Media Alcohol Index) were found on a national and local level, along with the ability to detect variation in consumption on National holidays and celebrations at both local and national levels.

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How is alcohol consumption affected if we account for under-reporting? A hypothetical scenario

Abstract: Revising alcohol consumption assuming equal under-reporting across the population does not have an equal effect on the proportion of adults drinking above weekly or daily thresholds. It is crucial that further research explores the population distribution of under-reporting.

Cited by 80 publications

References 15 publications

Determinants of non-participation in a mass screening program for colorectal cancer in Finland

Determinants of non-participation in a mass screening program for colorectal cancer in Finland

Impact of minimum price per unit of alcohol on patients with liver disease in the UK

Towards tracking and analysing regional alcohol consumption patterns in the UK through the use of social media

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