Álvaro Castillo-Carniglia

Alcohol-Attributable Mortality and Years of Potential Life Lost in Chile in 2009

AIMS The aim of the study was to estimate mortality and years of potential life lost (YPLL) attributable to alcohol consumption in 2009 in Chile. METHODS The population considered for this study included those 15 years and over. Exposure to alcohol in the population was estimated by triangulating the records of alcohol per capita consumption in Chile with information from the Eighth National Study of Drugs in the General Population (2008). The effect of alcohol consumption on each cause of death (relative risk) was extracted from previously published meta-analyses. With this information we estimated the alcohol-attributable fraction (AAF) and deaths and YPLL due to alcohol consumption. The confidence intervals for the AAF were estimated with Monte Carlo sampling using the estimated variances of the exposure prevalence and relative effect. RESULTS The estimated total number of deaths attributable to alcohol consumption was 8753 (95% CI: 6257, 11,584) corresponding to 9.8% (95% CI: 7.01%, 12.98%) of all deaths in Chile in 2009. The total estimated YPLL attributable to alcohol were 195,475 (95% CI: 164,287, 227,726), corresponding to 21.5% (95% CI: 18.1%, 25.0%) of total YPLL for that year in Chile. CONCLUSION Alcohol consumption is a major risk factor and accounts for nearly one of ten deaths in Chile. These results may be used to guide the design of public health policies and evaluations.

Associations between social vulnerability, employment conditions and hazardous alcohol consumption in Chile

INTRODUCTION AND AIMS Studies from many different countries have found associations between alcohol use, employment and social context. The aim of this study was to investigate associations between hazardous alcohol consumption (HAC), social vulnerability and employment conditions among Chilean adults. DESIGN AND METHODS A cross-sectional study, involving analysis of the 2008 National Survey on Drugs in Chile, was conducted on 8316 economically active men and women aged between 18 and 65 years, who completed the alcohol section of the survey. The participants were selected randomly and data collected through face-to-face interviews. Multilevel analysis was used to achieve the studys objectives. The Alcohol Use Disorders Identification Test was used to define HAC. RESULTS There were no significant associations between HAC and employment status or occupational category when controlling for potential confounders. Using the social services sector as a reference, the adjusted odds ratio (95% confidence interval) of HAC was 2.60 (1.96-3.46) for those who worked in construction, 2.03 (1.43-2.89) in mining, 1.74 in agriculture (1.16-2.63) and in industry (1.26-2.39), 1.73 (1.31-2.28) in trade, 1.67 (1.29-2.16) in other services and 1.42 (1.01-2.00) in transport. There was no association between the socioeconomic status of the participants neighbourhood and HAC in the fully adjusted model. The perception of neighbourhood security (third quartile of insecurity) was associated with HAC (odds ratio 1.22; 95% confidence interval 1.02-1.46). DISCUSSION AND CONCLUSIONS HAC was independently associated with the participants economic sector and perception of neighbourhood security in Chilean adults. It is important to perform in-depth analyses of contextual effects on individual alcohol consumption.

Small area associations between social context and alcohol-attributable mortality in a middle income country

BACKGROUND Little is known about the association between alcohol-attributable mortality and small area socioeconomic variables when considering causes both wholly and partially attributable to alcohol. METHODS An ecological study was conducted of the entire Chilean population aged 15 and older in 345 municipalities nationwide between 2004 and 2009. Deaths were attributed to alcohol consumption either wholly or partially, along with the estimated attributable fractions for each specified cause. Each municipality was characterized according to its average income and educational attainment. Estimates of the ecological associations were produced using a hierarchical Bayesian model, separating out deaths caused by alcohol and dividing them into seven groups of causes. RESULTS Alcohol-attributable mortality risk showed an inverse association with income and education at the ecological level. A one-quintile increase in income was associated with an average decrease in risk of 10% (CI 95%: 10-20%) for cardiovascular deaths, 8% (6-10%) for intentional injuries and 7% (3-11%) for unintentional injuries. No associations were found between deaths due to cancers and other causes with income and education. CONCLUSIONS Municipalities with lower income and education have higher risk of alcohol-attributable mortality in Chile.

Consumo y valoración social de la leche purita fortificada y cereal del Programa Nacional de Alimentación Complementaria (PNAC) en Chile

Resumen es: Introduccion: El Programa Nacional de Alimentacion Complementaria (PNAC), es considerado la mayor intervencion nutricional en Chile. Objetivo: Evaluar el...

Adaptation and Validation of the Instrument Treatment Outcomes Profile to the Chilean Population

This study aims to psychometrically validate the Chilean version of the treatment outcomes profile (TOP), an instrument that can be used by treatment centers to monitor the results of drug and alcohol treatments. Specifically, this study is interested in evaluating the inter-rater reliability, concurrent validity, change sensitivity and discriminant and construct validity of this instrument. The TOP was modified to reflect the Chilean context and then applied in three successive stages: an initial application at the beginning of treatment, a retest after 1week, and a follow up after a month. The sample was composed of 411 users of different types of drugs who were in treatment centers in the three largest regions of the country. The TOP reliability was greater than .75 for most items. Regarding concurrent validity, all the coefficients were in the expected direction and statistically significant. Change over time, as measured by Cohens d statistic and the Reliable Change Index, was significant for most items. Users in treatment for less than 3months showed higher alcohol consumption (odds ratio [OR]=1.07; 95% confidence interval [95% CI]: 1.01-1.13), poorer psychological health (OR=0.94; 95% CI: 0.87-1.00), fewer days worked (0.56; 0.95-0.99) and poorer housing conditions (OR=2.76; 95% CI: 1.22-6.23) than did their counterparts who had more than 3months of treatment. Researchers extracted six components with eigenvalues greater than one, accounting for 69.0% of the total variance. In general, the Chilean TOP is a reliable and valid mechanism to monitor outcomes of people treated for problems with drug and alcohol abuse in Chile, but further validation work is required in some dimensions.

Geographical distribution of alcohol-attributable mortality in Chile: a Bayesian spatial analysis

OBJECTIVE To describe the distribution of alcohol-attributable mortality (AAM) at the local level (345 municipalities) in Chile, including fully and partially attributable causes in 2009. METHODS AAM was estimated for the population 15years of age and older using per capita alcohol consumption combined with survey estimates. The effect of alcohol on each cause of death was extracted from the published scientific literature. We used Bayesian hierarchical models to smooth the Standardized Mortality Ratio for each municipality for six groups of causes related to alcohol consumption (total, neuro-psychiatric, cardiovascular, cancer, injuries and other causes). RESULTS The percentage of municipalities with high risk for any group of causes in each region ranges from 0% to 87.0%. Municipalities with high risk were concentrated in south-central and southern Chile for all groups of causes related to alcohol. CONCLUSIONS AAM risk shows marked geographic concentrations, mainly in south-central and southern regions of Chile. This combination of methods for small-area estimates of AAM is a powerful tool to identify high risk regions and associated factors, and may be used to inform local policies and programs.