- National and State Estimates for Years of Potential Life Lost in US due to Alcohol Use
- Number of Years of Potential Life Lost due to Alcohol Use
- Alcohol Use
- Alcohol Attributable Deaths
- Years of Potential Life Lost
- Alcohol-Related Disease Impact
- Causes of Death
- Alcohol Related Health Impacts
- Alcohol Attributable Fractions
ARDI Years of Potential Life Lost due to Alcohol Use
This dataset provides national and state estimates of alcohol related health impacts, including deaths and years of potential life lost (YPLL). These estimates are calculated for 54 acute and chronic causes using alcohol attributable fractions, and are reported by age and sex for 2006-2010. This dataset estimates the total number of alcohol related years of life lost resulting from premature death.
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The US Centers for Disease Control and Prevention (CDC) convened a scientific workgroup comprised of experts on alcohol and health to guide the development of the ARDI application. One of the group’s tasks was to select alcohol related causes of death based on ones that were previously examined in meta-analyses. Some causes (e.g., tuberculosis, pneumonia, and hepatitis C) were not included in this version of ARDI because suitable pooled relative risk estimates or alcohol attributable fractions (AAF) were not available for them at the time the work group convened.
Excessive alcohol consumption, the fourth leading preventable cause of death in the United States, resulted in approximately 88,000 deaths and 2.5 million years of potential life lost (YPLL) annually during 2006–2010 and cost an estimated $223.5 billion in 2006. To estimate state-specific average annual rates of alcohol attributable deaths (AAD) and YPLL caused by excessive alcohol use, different states analyzed 2006–2010 data (the most recent data available) using the CDC Alcohol Related Disease Impact (ARDI) application.
YPLL is calculated by multiplying age- and sex-specific average annual estimates of alcohol attributable deaths due to the 54 conditions included in the ARDI application (e.g., alcoholic cirrhosis of the liver) by age- and sex-specific 5-year average annual estimates of years of life remaining from the National Center for Health Statistics. Since YPLL is based on the age at death, the YPLL for a particular cause of death are directly related to the age distribution of persons who typically die of that condition. As a result, YPLL generally tends to be higher for causes of death that disproportionately affect youth and young adults (e.g., motor-vehicle traffic deaths) and lower for causes that primarily affect older adults (e.g., ischemic heart disease).
The findings for this dataset are subject to the following seven limitations:
– ARDI exclusively uses the underlying cause of death and does not consider contributing causes that might be alcohol related.
– ARDI does not include AAD estimates for several causes (e.g., tuberculosis) for which excessive alcohol use is believed to be an important risk factor.
– The alcohol data used to calculate AAF estimates were based on self-reports and might underestimate the actual prevalence of excessive alcohol use.
– State estimates calculated in this study might be different than those available in the ARDI application.
– National AAF data were used, even though studies suggest that there are important state differences in AAF for some causes of alcohol attributable deaths.
– AAD and YPLL rates could not be calculated for some age and race/ethnicity categories because of the small number of AAD in some of these groups.
The Community Preventive Services Task Force has recommended several population-level, evidence-based strategies to reduce excessive drinking and related harms, including:
– Increasing the price of alcohol
– Limiting alcohol outlet density
– Holding alcohol retailers liable for harms related to the sale of alcoholic beverages to minors and intoxicated patrons.
Routine monitoring of alcohol attributable health outcomes, including deaths and YPLL, in states could support the planning and implementation of evidence-based prevention strategies to reduce excessive drinking and related harms.
About this Dataset
John Snow Labs; Centers for Disease Control and Prevention;
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Alcohol Use, Alcohol Attributable Deaths, Years of Potential Life Lost, Alcohol-Related Disease Impact, Causes of Death, Alcohol Related Health Impacts, Alcohol Attributable Fractions
National and State Estimates for Years of Potential Life Lost in US due to Alcohol Use, Number of Years of Potential Life Lost due to Alcohol Use
|State_Abbreviation||Two-character postal abbreviation for state name.||string||required : 1|
|State||It represents the full name of different US States.||string||required : 1|
|Consumption_Pattern_of_Alcohol||Refers to the consumption pattern according to which alcohol is used by the individuals.||string||required : 1enum : Array (  => Excessive Use  => Any Use )|
|Effects_Category||It refers to the category of effects over health.||string||required : 1enum : Array (  => Beneficial Effects  => Harmful Effects )|
|Condition_Type||It identifies the cause type of disease condition.||string||required : 1enum : Array (  => Acute  => All causes  => Chronic )|
|Disease_Condition||It refers to the disease contition over health.||string||required : 1|
|Gender||It identifies the gender of the patients.||string||required : 1enum : Array (  => Male  => Female  => Overall )|
|Age_Category||It refers to the age category of the patients.||string||required : 1enum : Array (  => Other  => Under 21 )|
|Age_Group||It refers to the range for age of the patient.||string||required : 1|
|Data_Value||Identifies the actual value of the data.||string||-|
|Location_ID||Refers to the location identity.||integer||level : Nominal|
|Class_ID||Refers to the class identity||string||required : 1enum : Array (  => ACUTE  => ALLCAU  => CHRONIC )|
|Effect_ID||Refers to the effect identity.||string||required : 1|
|Condition_ID||Refers to the condition identity.||string||required : 1|
|Stratification_ID1||Refers to the stratification identity.||string||required : 1|
|Age_Category_ID||Identifies the sampling identity of the population.||string||required : 1|
|Stratification_ID2||Identifies the sampling sub identity of the population.||string||required : 1|
|ID||Idaho||Any Use||Harmful Effects||Acute||Homicide||Male||Other||65+||16||ACUTE||HARMEFF||HOMICI||GENM||AGECAT1||AGEGRP5|
|IA||Iowa||Any Use||Harmful Effects||Acute||Drowning||Male||Other||65+||9||19||ACUTE||HARMEFF||DROWNI||GENM||AGECAT1||AGEGRP5|
|IA||Iowa||Any Use||Harmful Effects||Acute||Homicide||Male||Other||65+||8||19||ACUTE||HARMEFF||HOMICI||GENM||AGECAT1||AGEGRP5|
|IA||Iowa||Any Use||Beneficial Effects||Acute||Suicide||Male||Other||65+||19||ACUTE||BENEFF||SUICID||GENM||AGECAT1||AGEGRP5|
|ME||Maine||Any Use||Harmful Effects||Acute||Homicide||Male||Other||65+||23||ACUTE||HARMEFF||HOMICI||GENM||AGECAT1||AGEGRP5|
|OH||Ohio||Any Use||Beneficial Effects||Acute||Suicide||Male||Other||65+||39||ACUTE||BENEFF||SUICID||GENM||AGECAT1||AGEGRP5|
|UT||Utah||Any Use||Harmful Effects||Acute||Drowning||Male||Other||65+||5||51||ACUTE||HARMEFF||DROWNI||GENM||AGECAT1||AGEGRP5|
|UT||Utah||Any Use||Harmful Effects||Acute||Homicide||Male||Other||65+||8||51||ACUTE||HARMEFF||HOMICI||GENM||AGECAT1||AGEGRP5|
|UT||Utah||Any Use||Harmful Effects||Acute||Suicide||Male||Other||65+||87||51||ACUTE||HARMEFF||SUICID||GENM||AGECAT1||AGEGRP5|
|UT||Utah||Any Use||Beneficial Effects||Acute||Suicide||Male||Other||65+||51||ACUTE||BENEFF||SUICID||GENM||AGECAT1||AGEGRP5|