This dataset is deprecated and will be removed by the end of the calendar year 2024. Updated on 8/18/2024

Drug and alcohol-related Intoxication death data is prepared using drug and alcohol intoxication data housed in a registry developed and maintained by the Vital Statistics Administration (VSA) of the Maryland Department of Health and Mental Hygiene (DHMH). The methodology for reporting on drug-related intoxication deaths in Maryland was developed by VSA with assistance from the DHMH Alcohol and Drug Abuse Administration, the Office of the Chief Medical Examiner (OCME) and the Maryland Poison Control Center. Assistance was also provided by authors of a 2008 Baltimore City Health Department report on intoxication deaths. Data in this table is by incident location, where the death occurred, rather than by county of residence.

Analysis of ‘Alcohol Related Deaths in the UK 1994 To 2016’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/alcohol-related-deaths-in-the-uk-1994-to-2016e on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

This dataset includes information on age-standardized and age-specific alcohol-related death rates in the UK, its constituent countries and regions of England, deaths registered from 1994 to 2016.

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This dataset was created by John and contains around 0 samples along with Deaths, Region Geography Code, technical information and other features such as: - Year - Rate Per 100000 Persons - and more.

How to use this dataset

• Analyze Gender in relation to Region Of England
• Study the influence of Deaths on Region Geography Code
• More datasets

Acknowledgements

If you use this dataset in your research, please credit John

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--- Original source retains full ownership of the source dataset ---

Annual data on age-standardised and age-specific alcohol-specific death rates in the UK, its constituent countries and regions of England.

Alcohol-Impaired Driving Fatalities 2005-2014; All persons killed in crashes involving a driver with BAC >= .08 g/dL. Occupant Fatalities 2005-2014; All occupants killed where body type = 1-79. Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2005-2013 Final Reports and 2014 Annual Report File

Annual data on number of alcohol-specific deaths by sex, age group and individual cause of death, UK constituent countries.

This dataset collection contains information about alcohol mortality per 100,000 inhabitants in Finland. The collection includes one table named 'Alcohol Mortality per 100,000 Inhabitants in Finland'. The tables are sourced from the website 'Sotkanet' in Finland.

The Mortality - Multiple Cause of Death data on CDC WONDER are county-level national mortality and population data spanning the years 1999-2009. Data are based on death certificates for U.S. residents. Each death certificate contains a single underlying cause of death, up to twenty additional multiple causes (Boolean set analysis), and demographic data. The number of deaths, crude death rates, age-adjusted death rates, standard errors and 95% confidence intervals for death rates can be obtained by place of residence (total U.S., region, state, and county), age group (including infants and single-year-of-age cohorts), race (4 groups), Hispanic ethnicity, sex, year of death, and cause-of-death (4-digit ICD-10 code or group of codes, injury intent and mechanism categories, or drug and alcohol related causes), year, month and week day of death, place of death and whether an autopsy was performed. The data are produced by the National Center for Health Statistics.

The dataset collection consists of one table named 'Alcohol Mortality Among Population Aged 35-64 per 100,000 Persons of Same Age'. This dataset collection contains information about the mortality rates due to alcohol among the population aged 35-64 per 100,000 persons of the same age. The data is sourced from the website 'Sotkanet' in Finland.

Annual data on number of deaths, age-standardised death rates and median registration delays for local authorities in England and Wales.

ObjectiveTo investigate the implications of low and moderate preoperative alcohol consumption on postoperative mortality and morbidity after primary hip and knee arthroplasty.MethodsA total of 30,799 patients who underwent primary hip or knee arthroplasty between January 1st, 2005 and October 8th, 2011 with information on preoperative alcohol consumption (0 grams of pure alcohol/week, >0–168 g/week, >168–252 g/week, and >252 g/week) were identified through the Danish Anesthesia Database. The 90-day and 1-year risks of mortality (primary outcomes), 1-year risk of prosthetic infection, and 30-day risks of cardiovascular disease and deep venous thrombosis (secondary outcomes) were estimated by Cox regression analysis.ResultsWe identified 285 (0.9%) deaths within the first 90 days and 694 (2.3%) within the first year. Within the first 30 days, 209 (0.7%) and 270 (0.9%) patients had acquired cardiovascular disease and deep venous thrombosis, respectively, and 514 (1.7%) patients developed prosthetic infection within the first year. The adjusted mortality models yielded hazard ratios of 0.55 (95% confidence interval [CI] 0.41 to 0.74) at 90 days and 0.61 (95% CI 0.51 to 0.73) at 1 year for the group consuming >0–168 g/week when compared to abstainers. Adjusted hazard ratios showed that the group consuming >0–168 g/week had a 0.91 (95% CI 0.75 to 1.11) risk of prosthetic infection, 0.68 (95% CI 0.50 to 0.92) risk of cardiovascular disease and 0.88 (95% CI 0.67 to 1.15) risk of deep venous thrombosis when compared to abstainers.ConclusionsThis study demonstrates that low-to-moderate alcohol consumption prior to primary hip or knee arthroplasty is associated with lower risks of mortality at both 90 days and 1 year after surgery and of cardiovascular disease after 30 days. More research from longitudinal studies is needed to identify specific causal relations and explanations.

This dataset presents information on alcohol-attributable mortality rates for Alberta, for selected causes of death, per 100,000 population, for the years 2002 to 2012.

Quarterly rates and numbers of deaths caused by diseases known to be a direct consequence of alcohol misuse. Includes 2001 to 2019 registrations and provisional registrations for Quarter 1 (Jan to Mar) to Quarter 4 (Oct to Dec) 2020.

Data for cities, communities, and City of Los Angeles Council Districts were generated using a small area estimation method which combined the survey data with population benchmark data (2022 population estimates for Los Angeles County) and neighborhood characteristics data (e.g., U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates). This indicator is based on self-report and includes adults who had at least one drink of any alcoholic beverage (such as beer, wine, or liquor) in the past month.In the US, alcohol use is legal for those ages 21 years and older and should be avoided or used in moderation (defined as consuming two or less drinks per day for men or one or less drinks per day for women). Excessive alcohol use includes binge drinking, heavy drinking, any underage alcohol use, and any alcohol use by pregnant persons. Alcohol use is associated with numerous health, safety, and social problems, including chronic diseases, unintentional injuries, interpersonal violence, fetal alcohol spectrum disorders, alcohol use disorders, and weakened interpersonal relationships and ability to function at work, school, or home. In general, people with higher socioeconomic status (SES) report drinking more frequently and more heavily than those with lower SES; however, people with lower SES are on average more negatively affected by alcohol-related harms. It is important for cities and communities to build strategies that create environments that reduce excessive alcohol use and prevent underage drinking.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

The honeybee continues to be developed as a model species in many research areas, including studies related to the effects of alcohol. Here, we investigate whether workers display one of the key features of alcoholism, namely withdrawal symptoms. We show that workers fed for a prolonged time on food spiked with ethanol, after discontinuation of access to such food, exhibited a marked increase in the consumption of ethanol and a slight increase in mortality. We additionally show that withdrawal symptoms do not include an increase in appetitiveness of ethanol diluted in water. Our results demonstrate that workers can develop alcohol dependence, which might be especially important in the natural setting of repeated exposure to ethanol in floral nectar and for their potential as a model of alcohol addiction.

Effect of suicide rates on life expectancy dataset

Abstract In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy. The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions.

Data

The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: Country, Year, Suicides number, Life expectancy, Adult Mortality, which is probability of dying between 15 and 60 years per 1000 population, Infant deaths, which is number of Infant Deaths per 1000 population, Alcohol, which is alcohol, recorded per capita (15+) consumption, Under-five deaths, which is number of under-five deaths per 1000 population, HIV/AIDS, which is deaths per 1 000 live births HIV/AIDS, GDP, which is Gross Domestic Product per capita, Population, Income composition of resources, which is Human Development Index in terms of income composition of resources, and Schooling, which is number of years of schooling.

LICENSE

THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/).

[1] https://www.kaggle.com/szamil/who-suicide-statistics

[2] https://www.kaggle.com/kumarajarshi/life-expectancy-who

Political and economic transition is often blamed for Russia's 40 percent surge in deaths between 1990 and 1994. Highlighting that increases in mortality occurred primarily among alcohol-related causes and among working-age men (the heaviest drinkers), this paper investigates an alternative explanation: the demise of the 1985-1988 Gorbachev Anti-Alcohol Campaign. Using archival sources to build a new oblast-year dataset spanning 1978-2000, we find a variety of evidence suggesting that the campaign's end explains a large share of the mortality crisis, implying that Russia's transition to capitalism and democracy was not as lethal as commonly suggested. (JEL D72, I12, I18, P26, P36)

This dataset is about book series. It has 1 row and is filtered where the books is Premature mortality in North East of England resulting from alcohol. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

This dataset presents information on alcohol-attributable age-standardized Potential Years of Life Lost (PYLL) Rates for Alberta, for selected causes of death, per 100,000 population.

Excess cumulative incidence of diseases projected in the ABC1 and C2DE population, per 100,000, by the year of reversion to pre-COVID-19 drinking patterns and by 2035.

This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages. Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Low numbers may result in zero values or missing data. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 40601 (E06a). The data is updated annually.