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      Comparative Analysis of Alcohol Control Policies in 30 Countries

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          Abstract

          Background

          Alcohol consumption causes an estimated 4% of the global disease burden, prompting goverments to impose regulations to mitigate the adverse effects of alcohol. To assist public health leaders and policymakers, the authors developed a composite indicator—the Alcohol Policy Index—to gauge the strength of a country's alcohol control policies.

          Methods and Findings

          The Index generates a score based on policies from five regulatory domains—physical availability of alcohol, drinking context, alcohol prices, alcohol advertising, and operation of motor vehicles. The Index was applied to the 30 countries that compose the Organization for Economic Cooperation and Development and regression analysis was used to examine the relationship between policy score and per capita alcohol consumption. Countries attained a median score of 42.4 of a possible 100 points, ranging from 14.5 (Luxembourg) to 67.3 (Norway). The analysis revealed a strong negative correlation between score and consumption ( r = −0.57; p = 0.001): a 10-point increase in the score was associated with a one-liter decrease in absolute alcohol consumption per person per year (95% confidence interval, 0.4–1.5 l). A sensitivity analysis demonstrated the robustness of the Index by showing that countries' scores and ranks remained relatively stable in response to variations in methodological assumptions.

          Conclusions

          The strength of alcohol control policies, as estimated by the Alcohol Policy Index, varied widely among 30 countries located in Europe, Asia, North America, and Australia. The study revealed a clear inverse relationship between policy strength and alcohol consumption. The Index provides a straightforward tool for facilitating international comparisons. In addition, it can help policymakers review and strengthen existing regulations aimed at minimizing alcohol-related harm and estimate the likely impact of policy changes.

          Abstract

          Using an index that gauges the strength of national alcohol policies, a clear inverse relationship was found between policy strength and alcohol consumption.

          Editors' Summary

          Background.

          Alcohol drinking is now recognized as one of the most important risks to human health. Previous research studies (see the research article by Rodgers et al., linked below) have predicted that around 4% of the burden of disease worldwide comes about as a result of drinking alcohol, which can be a factor in a wide range of health problems. These include chronic diseases such as cirrhosis of the liver and certain cancers, as well as poor health resulting from trauma, violence, and accidental injuries. For these reasons, most governments try to control the consumption of alcohol through laws, although very few countries ban alcohol entirely.

          Why Was This Study Done?

          Although bodies such as the World Health Assembly have recommended that its member countries develop national control policies to prevent excessive alcohol use, there is a huge variation between national policies. It is also very unclear whether there is any link between the strictness of legislation regarding alcohol control in any given country and how much people in that country actually drink.

          What Did the Researchers Do and Find?

          The researchers carrying out this study had two broad goals. First, they wanted to develop an index (or scoring system) that would allow them and others to rate the strength of any given country's alcohol control policy. Second, they wanted to see whether there is any link between the strength of control policies on this index and the amount of alcohol that is drunk by people on average in each country. In order to develop the alcohol control index, the researchers chose five main areas relating to alcohol control. These five areas related to the availability of alcohol, the “drinking context,” pricing, advertising, and vehicles. Within each policy area, specific policy topics relating to prevention of alcohol consumption and harm were identified. Then, each of 30 countries within the OECD (Organization for Economic Cooperation and Development) were rated on this index using recent data from public reports and databases. The researchers also collected data on alcohol consumption within each country from the World Health Organization and used this to estimate the average amount drunk per person in a year. When the researchers plotted scores on their index against the average amount drunk per person per year, they saw a negative correlation. That is, the stronger the alcohol control policy in any given country, the less people seemed to drink. This worked out at around roughly a 10-point increase on the index equating to a one-liter drop in alcohol consumption per person per year. However, some countries did not seem to fit these predictions very well.

          What Do These Findings Mean?

          The finding that there is a link between the strength of alcohol control policies and amount of alcohol drinking does not necessarily mean that greater government control causes lower drinking rates. The relationship might just mean that some other variable (e.g., some cultural factor) plays a role in determining the amount that people drink as well as affecting national policies for alcohol control. However, the index developed here is a useful method for researchers and policy makers to measure changes in alcohol controls and therefore understand more clearly the factors that affect drinking rates. This study looked only at the connection between control measures and extent of alcohol consumption, and did not examine alcohol-related harm. Future research might focus on the links between controls and the harms caused by alcohol.

          Additional Information.

          Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.0040151.

          Related collections

          Most cited references36

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          Alcohol and public health.

          Alcoholic beverages, and the problems they engender, have been familiar fixtures in human societies since the beginning of recorded history. We review advances in alcohol science in terms of three topics: the epidemiology of alcohol's role in health and illness; the treatment of alcohol use disorders in a public health perspective; and policy research and options. Research has contributed substantially to our understanding of the relation of drinking to specific disorders, and has shown that the relation between alcohol consumption and health outcomes is complex and multidimensional. Alcohol is causally related to more than 60 different medical conditions. Overall, 4% of the global burden of disease is attributable to alcohol, which accounts for about as much death and disability globally as tobacco and hypertension. Treatment research shows that early intervention in primary care is feasible and effective, and a variety of behavioural and pharmacological interventions are available to treat alcohol dependence. This evidence suggests that treatment of alcohol-related problems should be incorporated into a public health response to alcohol problems. Additionally, evidence-based preventive measures are available at both the individual and population levels, with alcohol taxes, restrictions on alcohol availability, and drinking-driving countermeasures among the most effective policy options. Despite the scientific advances, alcohol problems continue to present a major challenge to medicine and public health, in part because population-based public health approaches have been neglected in favour of approaches oriented to the individual that tend to be more palliative than preventative.
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            Youth risk behavior surveillance--United States, 2005.

            Priority health-risk behaviors, which contribute to the leading causes of morbidity and mortality among youth and adults, often are established during childhood and adolescence, extend into adulthood, are interrelated, and are preventable. October 2004-January 2006. The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health-risk behaviors among youth and young adults, including behaviors that contribute to unintentional injuries and violence; tobacco use; alcohol and other drug use; sexual behaviors that contribute to unintended pregnancy and sexually transmitted diseases (STDs), including human immunodeficiency virus (HIV) infections; unhealthy dietary behaviors; and physical inactivity. In addition, the YRBSS monitors general health status and the prevalence of overweight and asthma. YRBSS includes a national school-based survey conducted by CDC and state and local school-based surveys conducted by state and local education and health agencies. This report summarizes results from the national survey, 40 state surveys, and 21 local surveys conducted among students in grades 9-12 during October 2004-January 2006. In the United States, 71% of all deaths among persons aged 10-24 years result from four causes: motor-vehicle crashes, other unintentional injuries, homicide, and suicide. Results from the 2005 national Youth Risk Behavior Survey (YRBS) indicated that, during the 30 days preceding the survey, many high school students engaged in behaviors that increased their likelihood of death from these four causes: 9.9% had driven a car or other vehicle when they had been drinking alcohol; 18.5% had carried a weapon; 43.3% had drunk alcohol; and 20.2% had used marijuana. In addition, during the 12 months preceding the survey, 35.9% of high school students had been in a physical fight and 8.4% had attempted suicide. Substantial morbidity and social problems among youth also result from unintended pregnancies and STDs, including HIV infection. During 2005, a total of 46.8% of high school students had ever had sexual intercourse; 37.2% of sexually active high school students had not used a condom at last sexual intercourse; and 2.1% had ever injected an illegal drug. Among adults aged >/=25 years, 61% of all deaths result from two causes: cardiovascular disease and cancer. Results from the 2005 national YRBS indicated that risk behaviors associated with these two causes of death were initiated during adolescence. During 2005, a total of 23.0% of high school students had smoked cigarettes during the 30 days preceding the survey; 79.9% had not eaten >/=5 times/day of fruits and vegetables during the 7 days preceding the survey; 67.0% did not attend physical education classes daily; and 13.1% were overweight. Since 1991, the prevalence of many health-risk behaviors among high school students nationwide has decreased. However, many high school students continue to engage in behaviors that place them at risk for the leading causes of mortality and morbidity. The prevalence of many health-risk behaviors varies across cities and states. YRBS data are used to measure progress toward achieving 15 national health objectives for Healthy People 2010 and three of the 10 leading health indicators, to assess trends in priority health-risk behaviors among high school students, and to evaluate the impact of broad school and community interventions at the national, state, and local levels. More effective school health programs and other policy and programmatic interventions are needed to reduce risk and improve health outcomes among youth.
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              Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU*

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                pmed
                PLoS Medicine
                Public Library of Science (San Francisco, USA )
                1549-1277
                1549-1676
                April 2007
                24 April 2007
                : 4
                : 4
                : e151
                Affiliations
                [1 ] Department of Medicine, New York Medical College, Valhalla, New York, United States of America
                [2 ] Department of Pediatrics, New York Medical College, Valhalla, New York, United States of America
                [3 ] School of Public Health, New York Medical College, Valhalla, New York, United States of America
                [4 ] Joint Research Centre, European Commission, Ispra, Italy
                [5 ] New York Medical College, Valhalla, New York, United States of America
                [6 ] Department of Statistics, University of Milano-Bicocca, Italy
                [7 ] Department of Surgery, New York Medical College, Valhalla, New York, United States of America
                [8 ] Department of Community and Preventive Medicine, New York Medical College, Valhalla, New York, United States of America
                James Cook University, Australia
                Author notes
                * To whom correspondence should be addressed. E-mail: Lowenfel@ 123456nymc.edu
                Article
                06-PLME-RA-0663R2 plme-04-04-32
                10.1371/journal.pmed.0040151
                1876414
                17455992
                f86e5c90-2bcc-4cc7-a6e9-9c77333ac962
                Copyright: © 2007 Brand et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 5 October 2006
                : 22 February 2007
                Page count
                Pages: 8
                Categories
                Research Article
                Mental Health
                Non-Clinical Medicine
                Public Health and Epidemiology
                Public Health
                Health Policy
                Epidemiology
                Substance Use (Including Alcohol)
                Custom metadata
                Brand DA, Saisana M, Rynn LA, Pennoni F, Lowenfels AB (2007) Comparative analysis of alcohol control policies in 30 countries. PLoS Med 4(4): e151. doi: 10.1371/journal.pmed.0040151

                Medicine
                Medicine

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