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      Socioeconomic patterning of excess alcohol consumption and binge drinking: a cross-sectional study of multilevel associations with neighbourhood deprivation

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          Abstract

          Objectives

          The influence of neighbourhood deprivation on the risk of harmful alcohol consumption, measured by the separate categories of excess consumption and binge drinking, has not been studied. The study objective was to investigate the effect of neighbourhood deprivation with age, gender and socioeconomic status (SES) on (1) excess alcohol consumption and (2) binge drinking, in a representative population survey.

          Design

          Cross-sectional study: multilevel analysis.

          Setting

          Wales, UK, adult population ∼2.2 million.

          Participants

          58 282 respondents aged 18 years and over to four successive annual Welsh Health Surveys (2003/2004–2007), nested within 32 692 households, 1839 census lower super output areas and the 22 unitary authority areas in Wales.

          Primary outcome measure

          Maximal daily alcohol consumption during the past week was categorised using the UK Department of Health definition of ‘none/never drinks’, ‘within guidelines’, ‘excess consumption but less than binge’ and ‘binge’. The data were analysed using continuation ratio ordinal multilevel models with multiple imputation for missing covariates.

          Results

          Respondents in the most deprived neighbourhoods were more likely to binge drink than in the least deprived (adjusted estimates: 17.5% vs 10.6%; difference=6.9%, 95% CI 6.0 to 7.8), but were less likely to report excess consumption (17.6% vs 21.3%; difference=3.7%, 95% CI 2.6 to 4.8). The effect of deprivation varied significantly with age and gender, but not with SES. Younger men in deprived neighbourhoods were most likely to binge drink. Men aged 35–64 showed the steepest increase in binge drinking in deprived neighbourhoods, but men aged 18–24 showed a smaller increase with deprivation.

          Conclusions

          This large-scale population study is the first to show that neighbourhood deprivation acts differentially on the risk of binge drinking between men and women at different age groups. Understanding the socioeconomic patterns of harmful alcohol consumption is important for public health policy development.

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          Most cited references24

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          Characteristics of binge drinkers in Europe.

          Binge drinking has been shown to be associated with considerable social harm and disease burden. This review aims to give an overview from a European perspective of the socio-demographical, individual, and social factors that affect binge drinking and to identify effective interventions to reduce binge drinking. To this end, a computer-assisted search of relevant articles was conducted. Results showed that males tended to binge drinking more frequently than females. Binge drinking was most prevalent among adolescents and young adults, and prevalence levelled off later in life. Socio-economic conditions seemed to have an effect on binge drinking, independent of their effects on the volume of alcohol consumed. The early onset of binge drinking was associated with a history of drinking in the family, but pathways into adulthood are less clear. Binge drinking often co-occurred with other substance use. Motives for binge drinking included both social camaraderie and tension reduction. Which aspect prevails may vary according to the type of binge drinker, but to date has not been satisfactorily explained. Binge drinkers were not likely to know enough about or be aware of the potential risks of bingeing. Pressure from peers was one of the strongest influencing factors for binge drinking and seemed to outweigh parental influences, especially from late adolescence onwards. Binge drinking also varied according to both the predominant adult and adolescent drinking culture with more binge drinking in the northern and middle parts of Europe compared to the southern parts. Thus, a variety of socio-demographical, individual, and social characteristics associated with binge drinking have been identified. However, knowledge in this area is limited, as most research has been conducted among particular groups in specific situations, in particular North American college students. More research in Europe is urgently needed, as results from other cultural backgrounds are difficult to generalize. Copyright 2003 Elsevier Ltd.
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            Hours and days of sale and density of alcohol outlets: impacts on alcohol consumption and damage: a systematic review.

            The aim of this study was to examine recent research studies published from 2000 to 2008 focusing on availability of alcohol: hours and days of sale and density of alcohol outlets. Systematic review. Forty-four studies on density of alcohol outlets and 15 studies on hours and days of sale were identified through a systematic literature search. The majority of studies reviewed found that alcohol outlet density and hours and days of sale had an impact on one or more of the three main outcome variables, such as overall alcohol consumption, drinking patterns and damage from alcohol. Restricting availability of alcohol is an effective measure to prevent alcohol-attributable harm.
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              Neighborhood disorder, psychophysiological distress, and health.

              How do neighborhoods affect the health of residents? We propose that the impact of neighborhood disorder on self-reported health is mediated by psychological and physiological distress. We hypothesize a stress process in which chronic stressors in the environment give rise to a psychological and physiological stress response that ultimately affects health. The exogenous variable of interest is the neighborhood where disadvantaged persons live, which may expose them to chronic stressors in the form of crime, trouble, harassment, and other potentially distressing signs of disorder and decay. The mediator is the stress response that occurs in the body and brain. Of interest here is a psychological stress response in the form of fearful anxiety and depression, and a physiological stress response in the form of signs and symptoms of autonomic arousal, such as dizziness, chest pains, trouble breathing, nausea, upset stomach, and weakness. The outcome is poor health. This model is supported using data from the Welfare, Children, and Families project, a sample of 2,402 disadvantaged women in disadvantaged neighborhoods in Chicago, Boston, and San Antonio.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2013
                15 April 2013
                : 3
                : 4
                : e002337
                Affiliations
                [1 ]Institute of Primary Care & Public Health , School of Medicine , Cardiff University , Cardiff, UK
                [2 ]Centre for the Development and Evaluation of Complex Public Health Interventions, School of Medicine , Cardiff University , Cardiff, UK
                [3 ]College of Medicine , Swansea University , Swansea, UK
                Author notes
                [Correspondence to ] Professor David L Fone; foned@ 123456cf.ac.uk
                Article
                bmjopen-2012-002337
                10.1136/bmjopen-2012-002337
                3641461
                23587771
                152f0a1a-7467-471c-9c21-4e45cebf19e0
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode

                History
                : 12 November 2012
                : 8 March 2013
                : 11 March 2013
                Categories
                Epidemiology
                Research
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                Medicine
                epidemiology,public health,preventive medicine
                Medicine
                epidemiology, public health, preventive medicine

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