Geographical distribution of alcohol-attributable mortality in Chile: A Bayesian spatial analysis
Introduction
The impact of alcohol consumption on health has been analyzed in different studies and contexts and is recognized as a global public health problem (Rehm et al., 2004). In Chile, the first study of burden of disease was published in 2008, showing the extent of the problem at the national level (9.7% of all deaths were attributable to alcohol consumption in 2004) (Ministerio de Salud y Pontificia Universidad Católica de Chile, 2008). Recently, a new study estimated deaths due to alcohol in 2009 in the population aged 15 and over and found similar results (Castillo-Carniglia, Kaufman, & Pino, 2013). However, at present no studies have yet estimated the impact of alcohol across smaller geographic areas, such as regional or municipal levels. This makes it difficult to design policies with local approaches that take account of the particular expression of the problem, as has been highlighted in the National Strategy on Drug and Alcohol and the Chilean Alcohol Strategy (Ministerio de Salud, 2010, Servicio Nacional para la Prevención y Rehabilitación de Drogas y Alcohol, 2011).
Chile is a developing country that in the last decades has experienced pronounced economic growth, with a current GDP per capita of around US$15,000 (World Bank, 2011). The economy is based primarily on mining (mostly in the northern regions), forestry, agriculture and fisheries (OECD, 2012). Chile is also a producer of wine and pisco (a distilled spirit made from grapes that contains 35–42% alcohol) that together constitute a market of more than 2.5 billion US dollars annually (Oficina de Estudios y Políticas Agrarias, 2012).
Previous studies had shown that general and cause-specific mortality is not homogeneous across the country (Icaza et al., 2006, Icaza et al., 2007, Icaza et al., 2013). The volume and patterns of alcohol consumption as well as its consequences are no exception, which make it necessary to identify regions and municipalities with excess risk to facilitate targeted policy formation. The presentation in maps of the spatial distribution of health and related indicators is useful for this purpose and to identify possible hypotheses to explain the varying incidence rates and for the broad dissemination of this information (Barceló et al., 2008). This approach has been applied extensively through the elaboration of mortality atlases for various causes and geographic areas with different sizes around the world (Casper et al., 2003, Ocaña-Riola et al., 2008). However, no previous studies in developing countries have examined the distribution of alcohol-attributable mortality at regional or municipal levels. Furthermore, of the studies in different parts of the world that have analyzed mortality attributable to alcohol, only a few included partially attributable causes (attributable fractions < 1) or cases in which alcohol explains only a fraction of the events, such as some types of cancer (New Mexico Department of Health, 2013, New South Wales Ministry of Health, 2013). The inclusion of partially attributable causes is of great importance since they represent, in some contexts, over 90% of all deaths due to alcohol (Castillo-Carniglia et al., 2013).
The objective of this study is to describe the distribution of alcohol-attributable mortality at the local level (345 municipalities), including fully and partially attributable causes, for the year 2009 in Chile.
Section snippets
Design and population
We conducted an ecological study analyzing mortality attributable to alcohol consumption at the municipal level in Chile. The population is people 15 years and older nationwide in 2009.
Sources of information
To estimate alcohol-attributable mortality, information was collected from the following sources:
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Global Information System on Alcohol and Health of the World Health Organization to determine the volume of alcohol per capita consumed in Chile. This was used as a benchmark to estimate the volume of alcohol by sex,
Results
Population, area, density of population, number of municipalities and the number of municipalities with increased risk for each of the 15 regions in Chile are described in Table 1. The Metropolitan region has the greatest number of people, mostly concentrated in the city of Santiago, which is the national capital. This is followed by the Biobío and Valparaíso regions, with about 2 million and 1.7 million people, respectively. The two most southern regions (Aisén and Magallanes) have the fewest
Discussion
In the present study we disaggregate the mortality attributable to alcohol in small areas combining different methodologies and sources of information. The results demonstrate that even when including partially attributable causes it is possible to obtain stable estimates that reveal the heterogeneity of alcohol-related harm at the local level.
In Chile, alcohol consumption is a major cause of preventable deaths. According to a previous report, 1 of every 10 deaths in 2009 was attributable to
Conclusions
The regions of south-central and southern Chile had a higher proportion of high-risk municipalities for all groups of causes of death related to alcohol consumption. Locally oriented policies should use small-area estimates such as these to identify high risk populations in order to facilitate decision making and resource allocation. The factors that explain this excess risk should be analyzed in other studies including designs and methodologies that identify risk factors at the individual and
Role of funding source
ACC receives support from the National Commission for Scientific and Technological Research of Chile (CONICYT). JSK receives support from the Canada Research Chairs Program.
Contributors
ACC, JSK and PP were involved in the design, interpretation of results, and final revision of the article. ACC performed the data analysis and wrote the initial draft of the manuscript.
Conflicts of interest
No conflict declared.
Acknowledgments
We thank Drs. Jürgen Rehm and Gerrit Gmel from the Department of Social and Epidemiological Research of the Centre for Addiction and Mental Health (Canada) for their contributions to the attributable fraction estimates and to Richard F. MacLehose, Darin J. Erickson and Bradley P. Carlin from the Division of Epidemiology and Community Health and the Division of Biostatistics, University of Minnesota (USA) and Francisco Torres-Avilés from the Department of Mathematics and Computational Science,
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