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      Alcohol control policy measures and all‐cause mortality in Lithuania: an interrupted time–series analysis

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          Is Open Access

          Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk–outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk–outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk–outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10·8 million (95% uncertainty interval [UI] 9·51–12·1) deaths (19·2% [16·9–21·3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8·71 million (8·12–9·31) deaths (15·4% [14·6–16·2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253–350) DALYs (11·6% [10·3–13·1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0–9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10–24 years, alcohol use for those aged 25–49 years, and high systolic blood pressure for those aged 50–74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Funding Bill & Melinda Gates Foundation.
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            Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders.

            Alcohol consumption has been identified as an important risk factor for chronic disease and injury. In the first paper in this Series, we quantify the burden of mortality and disease attributable to alcohol, both globally and for ten large countries. We assess alcohol exposure and prevalence of alcohol-use disorders on the basis of reviews of published work. After identification of other major disease categories causally linked to alcohol, we estimate attributable fractions by sex, age, and WHO region. Additionally, we compare social costs of alcohol in selected countries. The net effect of alcohol consumption on health is detrimental, with an estimated 3.8% of all global deaths and 4.6% of global disability-adjusted life-years attributable to alcohol. Disease burden is closely related to average volume of alcohol consumption, and, for every unit of exposure, is strongest in poor people and in those who are marginalised from society. The costs associated with alcohol amount to more than 1% of the gross national product in high-income and middle-income countries, with the costs of social harm constituting a major proportion in addition to health costs. Overall, we conclude that alcohol consumption is one of the major avoidable risk factors, and actions to reduce burden and costs associated with alcohol should be urgently increased.
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              National, regional, and global burdens of disease from 2000 to 2016 attributable to alcohol use: a comparative risk assessment study

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                Author and article information

                Contributors
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                Journal
                Addiction
                Addiction
                Wiley
                0965-2140
                1360-0443
                April 06 2021
                Affiliations
                [1 ]Health Research Institute, Faculty of Public Health Lithuanian University of Health Sciences Kaunas Lithuania
                [2 ]Department of Preventive Medicine, Faculty of Public Health Lithuanian University of Health Sciences Kaunas Lithuania
                [3 ]Institute of Clinical Psychology and Psychotherapy Technische Universität Dresden Dresden Germany
                [4 ]Center for Interdisciplinary Addiction Research (ZIS), Department of Psychiatry and Psychotherapy University Medical Center Hamburg‐Eppendorf (UKE) Hamburg Germany
                [5 ]Department of Psychiatry, Medical Faculty University of Leipzig Leipzig Germany
                [6 ]Clinic of Anaesthesiology and Intensive Care, Faculty of Medicine, Centre of Toxicology Vilnius University Vilnius Lithuania
                [7 ]Vilnius University Emergency Hospital Vilnius Lithuania
                [8 ]SHORE and Whariki Research Centre, College of Health Massey University New Zealand
                [9 ]WHO European Office for Prevention and Control of Noncommunicable Diseases Moscow Russia
                [10 ]Department of Health Management, Faculty of Public Health Lithuanian University of Health Sciences Kaunas Lithuania
                [11 ]Institute for Mental Health Policy Research Centre for Addiction and Mental Health Toronto ON Canada
                [12 ]Department of Environmental and Occupational Medicine, Faculty of Public Health Lithuanian University of Health Sciences Kaunas Lithuania
                [13 ]Institute of Cardiology Lithuanian University of Health Sciences Kaunas Lithuania
                [14 ]Centre for Alcohol Policy Research La Trobe University Bundoora VIC Australia
                [15 ]Centre for Social Research on Alcohol and Drugs, Department of Public Health Sciences Stockholm University Stockholm Sweden
                [16 ]WHO Country Office Lithuania Vilnius Lithuania
                [17 ]Department of Psychiatry University of Toronto Toronto ON Canada
                [18 ]Dalla Lana School of Public Health University of Toronto Toronto ON Canada
                Article
                10.1111/add.15470
                33751693
                a92603e0-fd25-44e5-ba07-0f6db5938bb2
                © 2021

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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