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      Alcohol, drinking pattern and all-cause, cardiovascular and alcohol-related mortality in Eastern Europe

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          Abstract

          Alcohol has been implicated in the high mortality in Central and Eastern Europe but the magnitude of its effect, and whether it is due to regular high intake or episodic binge drinking remain unclear. The aim of this paper was to estimate the contribution of alcohol to mortality in four Central and Eastern European countries. We used data from the Health, Alcohol and Psychosocial factors in Eastern Europe is a prospective multi-centre cohort study in Novosibirsk (Russia), Krakow (Poland), Kaunas (Lithuania) and six Czech towns. Random population samples of 34,304 men and women aged 45–69 years in 2002–2005 were followed up for a median 7 years. Drinking volume, frequency and pattern were estimated from the graduated frequency questionnaire. Deaths were ascertained using mortality registers. In 230,246 person-years of follow-up, 2895 participants died from all causes, 1222 from cardiovascular diseases (CVD), 672 from coronary heart disease (CHD) and 489 from pre-defined alcohol-related causes (ARD). In fully-adjusted models, abstainers had 30–50 % increased mortality risk compared to light-to-moderate drinkers. Adjusted hazard ratios (HR) in men drinking on average ≥60 g of ethanol/day (3 % of men) were 1.23 (95 % CI 0.95–1.59) for all-cause, 1.38 (0.95–2.02) for CVD, 1.64 (1.02–2.64) for CHD and 2.03 (1.28–3.23) for ARD mortality. Corresponding HRs in women drinking on average ≥20 g/day (2 % of women) were 1.92 (1.25–2.93), 1.74 (0.76–3.99), 1.39 (0.34–5.76) and 3.00 (1.26–7.10). Binge drinking increased ARD mortality in men only. Mortality was associated with high average alcohol intake but not binge drinking, except for ARD in men.

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          The online version of this article (doi:10.1007/s10654-015-0092-8) contains supplementary material, which is available to authorized users.

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          Association of alcohol consumption with selected cardiovascular disease outcomes: a systematic review and meta-analysis

          Objective To conduct a comprehensive systematic review and meta-analysis of studies assessing the effect of alcohol consumption on multiple cardiovascular outcomes. Design Systematic review and meta-analysis. Data sources A search of Medline (1950 through September 2009) and Embase (1980 through September 2009) supplemented by manual searches of bibliographies and conference proceedings. Inclusion criteria Prospective cohort studies on the association between alcohol consumption and overall mortality from cardiovascular disease, incidence of and mortality from coronary heart disease, and incidence of and mortality from stroke. Studies reviewed Of 4235 studies reviewed for eligibility, quality, and data extraction, 84 were included in the final analysis. Results The pooled adjusted relative risks for alcohol drinkers relative to non-drinkers in random effects models for the outcomes of interest were 0.75 (95% confidence interval 0.70 to 0.80) for cardiovascular disease mortality (21 studies), 0.71 (0.66 to 0.77) for incident coronary heart disease (29 studies), 0.75 (0.68 to 0.81) for coronary heart disease mortality (31 studies), 0.98 (0.91 to 1.06) for incident stroke (17 studies), and 1.06 (0.91 to 1.23) for stroke mortality (10 studies). Dose-response analysis revealed that the lowest risk of coronary heart disease mortality occurred with 1–2 drinks a day, but for stroke mortality it occurred with ≤1 drink per day. Secondary analysis of mortality from all causes showed lower risk for drinkers compared with non-drinkers (relative risk 0.87 (0.83 to 0.92)). Conclusions Light to moderate alcohol consumption is associated with a reduced risk of multiple cardiovascular outcomes.
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            Imputing missing covariate values for the Cox model

            Multiple imputation is commonly used to impute missing data, and is typically more efficient than complete cases analysis in regression analysis when covariates have missing values. Imputation may be performed using a regression model for the incomplete covariates on other covariates and, importantly, on the outcome. With a survival outcome, it is a common practice to use the event indicator D and the log of the observed event or censoring time T in the imputation model, but the rationale is not clear. We assume that the survival outcome follows a proportional hazards model given covariates X and Z. We show that a suitable model for imputing binary or Normal X is a logistic or linear regression on the event indicator D, the cumulative baseline hazard H 0(T), and the other covariates Z. This result is exact in the case of a single binary covariate; in other cases, it is approximately valid for small covariate effects and/or small cumulative incidence. If we do not know H 0(T), we approximate it by the Nelson–Aalen estimator of H(T) or estimate it by Cox regression. We compare the methods using simulation studies. We find that using log T biases covariate-outcome associations towards the null, while the new methods have lower bias. Overall, we recommend including the event indicator and the Nelson–Aalen estimator of H(T) in the imputation model. Copyright © 2009 John Wiley & Sons, Ltd.
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              Myocardial infarction and coronary deaths in the World Health Organization MONICA Project. Registration procedures, event rates, and case-fatality rates in 38 populations from 21 countries in four continents.

              The WHO MONICA Project is a 10-year study that monitors deaths due to coronary heart disease (CHD), acute myocardial infarction, coronary care, and risk factors in men and women aged 35 to 64 years in defined communities. This analysis of methods and results of coronary event registration in 1985 through 1987 provides data on the relation between CHD morbidity and mortality. Fatal and nonfatal coronary events were monitored through population-based registers. Hospital cases were found by pursuing admissions ("hot pursuit") or by retrospective analysis of discharges ("cold pursuit"). Availability of diagnostic data on identified nonfatal myocardial infarction was good. Information on fatal events (deaths occurring within 28 days) was limited and constrained in some populations by problems with access to sources such as death certificates. Age-standardized annual event rates for the main diagnostic group in men aged 35 to 64 covered a 12-fold range from 915 per 100,000 for North Karelia, Finland, to 76 per 100,000 for Beijing, China. For women, rates covered an 8.5-fold range from 256 per 100,000 for Glasgow, UK, to 30 per 100,000 for Catalonia, Spain. Twenty-eight-day case-fatality rates ranged from 37% to 81% for men (average, 48% to 49%), and from 31% to 91% for women (average, 54%). There was no significant correlation across populations for men between coronary event and case-fatality rates (r = -.04), the percentages of coronary deaths known to have occurred within 1 hour of onset (r = .08), or the percentages of known first events (r = -.23). Event and case-fatality rates for women correlated strongly with those for men in the same populations (r = .85, r = .80). Case-fatality rates for women were not consistently higher than those for men. For women, there was a significant inverse correlation between event and case-fatality rates (r = -.33, P < .05), suggesting that nonfatal events were being missed where event rates were low. Rankings based on MONICA categories of fatal events placed some middle- and low-mortality populations, such as the French, systematically higher than they would be based on official CHD mortality rates. However, rates for nonfatal myocardial infarction correlated quite well with the official mortality rates for CHD for the same populations. For men (age 35 to 64 years), approximately 1.5 (at low event rates) to 1 (at high event rates) episode of hospitalized, nonfatal, definite myocardial infarction was registered for every death due to CHD. The problem in categorizing deaths due to CHD was the large proportion of deaths with no relevant clinical or autopsy information. Unclassifiable deaths averaged 22% across the 38 populations but represented half of all registered deaths in 2 populations and a third or more of all deaths in 15 populations. The WHO MONICA Project, although designed to study longitudinal trends within populations, provides the opportunity for relating rates of validated CHD deaths to nonfatal myocardial infarction across populations. There are major differences between populations in nonfatal as well as fatal coronary event rates. They refute suggestions that high CHD mortality rates are associated with high case-fatality rates or a relative excess of sudden deaths. The high proportion of CHD deaths for which no diagnostic information is available is a cause for concern.
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                Author and article information

                Contributors
                (+44) 020 3108 3021 , m.bobak@ucl.ac.uk
                Journal
                Eur J Epidemiol
                Eur. J. Epidemiol
                European Journal of Epidemiology
                Springer Netherlands (Dordrecht )
                0393-2990
                1573-7284
                14 October 2015
                14 October 2015
                2016
                : 31
                : 21-30
                Affiliations
                [ ]Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BTL UK
                [ ]Institute of Internal and Preventive Medicine, Siberian Branch of the Russian Academy of Medical Sciences, Novosibirsk, Russia
                [ ]Novosibirsk State Medical University, Novosibirsk, Russia
                [ ]Collegium Medicum, Jagiellonian University, Kraków, Poland
                [ ]Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
                [ ]National Institute of Public Health, Prague, Czech Republic
                Article
                92
                10.1007/s10654-015-0092-8
                4756032
                26467937
                2f86c433-9668-4d4a-bb68-2cbd26fdaf64
                © The Author(s) 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 24 June 2015
                : 8 October 2015
                Categories
                Mortality
                Custom metadata
                © Springer Science+Business Media Dordrecht 2016

                Public health
                alcohol,mortality,eastern europe,cardiovascular diseases
                Public health
                alcohol, mortality, eastern europe, cardiovascular diseases

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