The Alcohol-Related Disease Impact (ARDI) application provides estimates of alcohol-related harms including alcohol-attributable deaths (AAD), years of potential life lost (YPLL), and alcohol-attributable fractions (AAF).
Both AAD and YPLL are calculated using population estimates of the total proportion of deaths for various causes that are attributable to alcohol use. These proportions, called AAFs, are either measured directly or calculated indirectly using current scientific literature.
Alcohol-Attributable Fractions (AAF)
100% Alcohol-Attributable Conditions
Certain causes of death are, by definition, caused by alcohol consumption. These deaths are classified as being 100% alcohol-attributable and are reported in ARDI as having an AAF of 1.00. The following 13 chronic causes of death are listed as 100% alcohol-attributable in ARDI: alcoholic psychosis, alcohol abuse, alcohol dependence syndrome, alcohol polyneuropathy, degeneration of the nervous system due to alcohol use, alcoholic myopathy, alcohol cardiomyopathy, alcoholic gastritis, alcoholic liver disease, alcohol-induced acute pancreatitis, alcohol-induced chronic pancreatitis, fetal alcohol syndrome, and fetus and newborn issues caused by maternal alcohol use. Two acute causes of death are 100% alcohol-attributable: alcohol poisoning and suicide by and exposure to alcohol.
Directly Measured AAF
For some causes of death, especially acute causes (e.g., injuries), ARDI uses direct estimates of AAF. These direct estimates are based on scientific studies that have directly measured the relationship between excessive alcohol use and a given health outcome. These estimates typically come from follow-up studies that included information obtained from medical record reviews, interviews with next-of-kin, or some combinations of these, that have directly assessed a decedent’s pattern of alcohol consumption, or from studies that have assessed the proportion of people dying from a particular alcohol-attributable condition that had a blood alcohol concentration (BAC) above a specified level (e.g., 100 mg/dL, or 0.10 g/dL).
The chronic conditions that are assessed using direct estimates of AAF include esophageal varices, gastroesophageal hemorrhage, liver cirrhosis unspecified, and portal hypertension. The AAF for esophageal varices and portal hypertension was calculated by summing all alcoholic liver cirrhosis deaths and 40% of the unspecified liver cirrhosis deaths1 and chronic hepatitis not elsewhere classified deaths, and then dividing that by the sum of total cirrhosis deaths (that is, all alcoholic liver cirrhosis deaths; all unspecified liver cirrhosis deaths; and all chronic hepatitis not elsewhere classified deaths).
In contrast, the AAF for most of the acute causes of death (e.g., injuries) are assessed using direct estimates of AAF. Most of the direct AAF estimates for acute causes of death are based on a meta-analysis,2 except for deaths due to homicide, child maltreatment, suicide, firearm injuries, and motor vehicle traffic crashes. Researchers systematically reviewed studies that directly measured the BAC of people who had died of fatal non-traffic injuries. In this study, injuries were defined as having been alcohol-attributable if the decedent had a blood alcohol concentration (BAC) ≥ 100 mg/dL (0.10 g/dL) at the time of death. The fatal non-traffic injuries that are assessed using direct estimates of AAF from this study include air-space transport, aspiration, drowning, falls, fires, hypothermia, motor-vehicle non-traffic crashes, occupational and machine injuries, other road vehicle crashes, poisonings (not alcohol), and water transport. The AAF for homicide came from a meta-analysis3 that systematically reviewed studies that measured the blood alcohol levels of people who caused the crime (i.e., perpetrators) and not just the blood alcohol level of victims. The AAF for child maltreatment caused by a person with a high blood alcohol level also came from the same meta-analysis.3 The AAFs for suicide and firearm injuries came from the CDC’s 2015 National Violent Death Reporting System. The AAFs for deaths from motor vehicle traffic crashes came from the Fatality Analysis Reporting System (FARS)external icon, where the AAFs are based on the proportion of deaths from motor vehicle traffic crashes where either the driver or the non-occupant had a BAC level at or above 80 mg/dL, or 0.08 g/dL, by state, sex and age group.
Indirectly Measured AAF
For some causes of death, particularly chronic causes, ARDI calculates indirect estimates of AAF. These calculations use pooled risk estimates obtained from large, systematic reviews of the scientific literature, known as meta-analyses, on the relationship between alcohol and various causes as well as data on the prevalence of alcohol consumption at specific levels (e.g., more than one drink per day on average). Various sources were used to determine the pooled risk estimates used in ARDI for calculating the AAFs. The conditions and sources are listed with the cut-points used for defining levels of average daily alcohol consumption (see below).
Indirect estimates of AAF for any level of alcohol consumption are calculated in ARDI using the following formula:
which is equivalent to:
P1 is the prevalence of low volume alcohol consumption.
P2 is the prevalence of medium volume alcohol consumption.
P3 is the prevalence of high volume alcohol consumption.
RR1 is the relative risk low volume alcohol consumption.
RR2 is the relative risk medium volume alcohol consumption.
RR3 is the relative risk high volume alcohol consumption.
The prevalence of alcohol consumption is calculated at a specified level of average daily consumption within a given year, and relative risk is the likelihood of death from a particular cause at a specified level of average daily alcohol consumption. In accordance with the methods used by D. English when evaluating the relationship between medium and high average daily alcohol use (see below for definitions) and deaths from various causes, the risk estimates for these consumption levels were divided by the risk estimate for low average daily alcohol consumption, thus making people in the low average daily consumption group the reference population rather than abstainers.3
For excessive alcohol consumption, ARDI defines
as rescaled relative risks for medium and high volume alcohol consumption, respectively, using low volume alcohol consumption as the comparison group. ARDI, therefore, uses the following formula to calculate the AAF for excessive alcohol consumption:
Where all notations have been defined above.
For acute pancreatitis, data were not available to determine the relative risk at the various levels of alcohol consumption;4 therefore, the rescaling procedure was not used to calculate the AAF for excessive alcohol consumption for acute pancreatitis. The AAF for acute pancreatitis for excessive consumption was calculated using the single relative risk estimate for both the medium and high average daily alcohol consumption levels.
When calculating indirect AAF, ARDI uses the prevalence or the proportion of U.S. adults aged 20 years and older (stratified by sex) who reported average daily alcohol consumption at various levels. This information is obtained from Behavioral Risk Factor Surveillance System (BRFSS). The BRFSS data in ARDI are selected using the same years as both the death data and the life expectancy data used in the application. For example, if the most recent death data were for 2015, then 2011–2015 BRFSS data were used to obtain the prevalence of average daily alcohol consumption.
Calculating Average Daily Alcohol Consumption
The core BRFSS currently includes four questions to estimate the prevalence of alcohol consumption in the past 30 days. These questions assess the number of drinking days, the average number of drinks consumed on drinking days, the frequency of binge drinking occasions, and the largest number of drinks consumed on any occasion. Binge drinking is defined as consuming four or more drinks per occasion for women or five or more drinks per occasion for men.
To better estimate average daily alcohol consumption, the ARDI application uses a procedure called indexing to include self-reported information on binge drinking episodes into the calculation of average daily alcohol consumption. Based on the article “Measuring Average Alcohol Consumption: The Impact of Including Binge Drinks in Quantity-Frequency Calculations,”5 there are several steps involved in the indexing procedure, including the following: First, an average daily alcohol consumption is calculated by multiplying the number of drinking days (frequency or F) by the average number of drinks per day (quantity or Q), and then dividing this product by 30. Second, the number of binge drinking days (binge frequency or BF) is subtracted from the total number of drinking days to determine the adjusted frequency (AF) of drinking days (F minus BF, or AF). Third, the adjusted frequency (AF) is then multiplied by the quantity of drinks consumed during drinking days (Q) to calculate drinks consumed on typical drinking days [Q*(AF)]. Next, the number of binge drinking days (BF) is multiplied by the largest number of drinks consumed per binge drinker (binge quantity or BQ) to obtain the average number of drinks consumed on binge drinking days (BF*BQ). Drinks consumed during typical drinking days [Q*AF)] are then added to the total number of drinks consumed during binge drinking days (BF*BQ) to obtain the total drinks consumed per month [(Q*AF)+(BF*BQ)]. This total is then divided by 30 to yield the indexed average daily alcohol consumption.
To determine the prevalence of alcohol use at excessive consumption levels, the average number of drinks consumed per day (indexed to include binge drinking) is compared with cutpoints specified by the meta-analyses used to obtain risk estimates for a given cause of death. These cutpoints were typically reported as grams of alcohol per day, and then converted into drinks per day, using a 14 gram per drink conversion factor. The following cut-points were used for causes for which the categorical relative risk estimates were derived from continuous risk distributions presented by the authors of various studies, or for which varying relative risks were not presented by level of alcohol consumed.
Standardized cut-points for assessing the prevalence of alcohol consumption.
*Categorical relative risks were derived from continuous risk distributions
The causes for which these cut-points were applied include the following:
- Acute pancreatitis.4
- Atrial fibrillation.6
- Infant deaths due to low birth weight, pre-term birth, and small for gestational age.9†
- Ischemic and hemorrhagic stroke.10
- Unprovoked seizures, epilepsy, or seizure disorder.12
Categorical relative risks were derived from continuous risk distributions for each of these conditions except for acute pancreatitis, in which varying relative risks were not presented by level of alcohol consumed.4
* Alcohol-related deaths from esophageal cancer were calculated for the proportion of esophageal deaths due to squamous cell carcinoma only, based on the Surveillance, Epidemiology, and End Results in 18 states (SEER18)external icon. Alcohol-related deaths from stomach and pancreatic cancer were calculated among those consuming high levels of alcohol only.
† To estimate alcohol-attributable infant deaths due to low birth weight, pre-term birth, and small for gestational age, the prevalence of average daily alcohol consumption was calculated among women aged 18 to 44 years only because the alcohol consumption by other populations (e.g., males or older women) is not pertinent, and there is no available data source for calculating the prevalence of average daily alcohol consumption among only pregnant women on a state-specific basis. The prevalence estimates for women aged 18 to 44 years by level of consumption were applied to both males and females in the AAF formula in order to assess deaths by both infant boys and girls.
‡ For estimating alcohol-attributable deaths from pneumonia, the prevalence of average daily alcohol consumption was calculated among people aged 20 to 64 years only due to the high number of deaths from pneumonia among people aged 65 years and older that are not alcohol-related.
The following cut-points were used for causes for which the relative risk estimates were drawn from either Corrao13 or Corrao14:
|Alcohol Consumption||Men and Women|
The causes for which these cut-points were applied include:
- Chronic hepatitis.13
- Chronic pancreatitis.14
The following cut-points were used for gallbladder disease, for which the relative risk estimates were drawn from English3:
The following cut-points were used for coronary heart disease, for which the relative risk estimates were drawn from Zhao15:
|Alcohol Consumption||Men and Women|
*High volume and higher volume categories from Zhao15 were combined into a single category for the purpose of ARDI
Based on the above cut-points, excessive alcohol use was defined in the ARDI application as medium or high average daily alcohol consumption because these consumption levels generally exceeded the average daily consumption levels that are used to define heavy drinking (more than 1 drink/day on average for women; more than 2 drinks/day on average for men).
Data Sources for Total Deaths and Years of Potential Life Lost (YPLL)
Total Deaths Data Set
To calculate alcohol-attributable deaths (AAD), the AAFs for a specific condition are multiplied by the number of deaths in a given age category. The death data were obtained from the National Vital Statistics System managed by the National Center for Health Statistics. Deaths were coded using the International Classification of Diseases, Tenth Revisionexternal icon (ICD-10). See Alcohol Related ICD Codes. In contrast to deaths with ICD-10 codes indicating known intent (either homicide or suicide), for some acute causes of death (i.e., drowning, falls, fire injuries, firearm injuries, alcohol poisoning, poisonings (not alcohol)), ICD-10 codes for deaths of undetermined intent are included in the mechanism of death condition.
The death data were stratified by age and sex using standard 5-year age groupings. In general, ARDI assesses chronic causes of death starting at age 20 and acute causes of death starting at age 15. Deaths from pneumonia were included in ARDI for people aged 20 to 64 years only due to the high number of deaths from pneumonia among people aged 65 years and older that are not alcohol-related and the lack of relative risks that differ by age. Similarly, deaths from falls were included in ARDI for people aged 15 to 69 years only due to the high number of deaths from falls among persons aged 70 years and older that are not alcohol-related and the lack of AAFs that differ by age. In addition, death data were also included in ARDI on people who were younger than 15 years at the time of death if they died from alcohol-related causes that specifically affect children. These include fetal alcohol syndrome; fetus and newborn affected by maternal use of alcohol; child maltreatment; and infant deaths due to low birth weight, pre-term birth, and small for gestational age. Deaths due to motor vehicle traffic crashes among people younger than 15 years were also included in the system, because data on alcohol involvement in these deaths are available through FARSexternal icon.
To protect confidentiality, in the reports of AADs for each state and the District of Columbia, data are suppressed in cells with an estimate of fewer than 10 deaths or in which presenting data would provide information to derive the estimate for another cell that has fewer than 10 deaths.
Years of Potential Life Lost (YPLL)
YPLL are calculated by multiplying age- and sex- specific average annual estimates of alcohol-attributable deaths due to the 58 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.
Because YPLL is based on the age at death, the YPLL for a particular cause of death are directly related to the age distribution of people 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., coronary heart disease).
ARDI may underestimate the actual number of alcohol-related deaths and YPLL in the United States for several reasons. First, BRFSS data on alcohol consumption, which are used to calculate indirect estimates of AAFs, are based on self-reports. Among adults, alcohol consumption generally, and excessive drinking in particular, are underreported in surveys because of recall, social desirability, and nonresponse bias.16 One study found that BRFSS identifies only 22% to 32% of presumed alcohol consumption in states using alcohol sales.17 Second, an increasing proportion of youths and young adults aged 18 to 34 years use cellular telephones exclusively pdf icon[331 KB];18 therefore, landline surveys of people in this age group might not be representative of this population. However, an increasing proportion of the BRFSS surveys are collected among cellphone respondents.19 Third, BRFSS prevalence estimates are based on alcohol consumption during the past 30 days. As a result, former drinkers, who may have discontinued drinking because of health problems, are not included in the calculation of AAF. In the AAF formulas used in ARDI, it is assumed that former drinkers have the same relative risk as the comparison group (that is, lifetime abstainers when calculating the AAF for any volume of alcohol consumption, and low volume drinkers when calculating the AAF for excessive alcohol consumption). Fourth, ARDI does not include estimates of alcohol-attributable deaths for several causes (e.g., tuberculosis, HIV/AIDS, and hepatitis C) for which alcohol is widely believed to be an important risk factor, but where a suitable pooled risk estimate was not available. Fifth, ARDI exclusively uses the underlying cause of death from vital statistics to identify alcohol-related causes of death and does not consider contributing causes of death that may also be alcohol-related. Finally, age-specific estimates of AAF were only available for motor vehicle traffic deaths even though alcohol involvement is known to vary widely by age, particularly for acute causes, and is generally much greater for deaths involving youth and young adults. This limitation is likely to have resulted in a substantial underestimate of YPLL from deaths due to acute causes. In addition, because of the high rates of death from pneumonia and falls among older people that are not related to alcohol, and the inability to identify different estimates of AAF for older people compared with younger people, deaths included in ARDI for these conditions were limited to people aged 64 years and younger for pneumonia and aged 69 years and younger for falls. This results in an underestimation of alcohol-related deaths from pneumonia and falls among older adults and overall.
Scientific Work Group
Building on the work of an ARDI Scientific Work Group in 2002, the CDC convened a Scientific Work Group in 2016 including experts on alcohol and health from academia, government and private sector to assist with the ARDI scientific update.
The 2016 Work Group was tasked with reviewing a proposed list of alcohol-attributable conditions and the scientific literature identified for updating the cause-specific AAFs, with a focus on meta-analyses, when available. Members of the Work Group provided valuable input on the literature identified for updating the AAFs, ensuring the use of the best available scientific evidence on the role of alcohol and specific causes of death included in the ARDI application. The Work Group also assisted with updating the ICD-10 codes used for defining the conditions in ARDI.
- Parrish KM, Dufour MC, Stinson FS, Harford TC. Average daily alcohol consumption during adult life among decedents with and without cirrhosis: the 1986 National Mortality Followback Survey. J Stud Alcohol. 1993;54(4):450-456.
- Smith G, Branas C, Miller T. Fatal nontraffic injuries involving alcohol: a meta-analysis. Annals of Emergency Medicine. 1999;33(6):659–668.
- English DR, Holman CDJ, Milner K, et al. The Quantification of Drug Caused Morbidity and Mortality in Australia, 1995 edition. Canberra, Australia: Commonwealth Department of Human Services and Health; 1995.
- Alsamarrai A, Das S L, Windsor J A, Petrov, MS. Factors that affect risk for pancreatic disease in the general population: a systematic review and meta-analysis of prospective cohort studies. Clinical Gastroenterology and Hepatology. 2014;12(10):1635–1644.
- Stahre M, Naimi T, Brewer R, Holt J. Measuring average alcohol consumption: the impact of including binge drinks in quantity-frequency calculations. Addiction. 2006;101(12):711–1718.
- Samokhvalov AV, Irving HM, Rehm, J. Alcohol consumption as a risk factor for atrial fibrillation: a systematic review and meta-analysis. European Journal of Cardiovascular Prevention & Rehabilitation. 2010a;7(6);706–712.
- Bagnardi V, Rota M, Botteri E, Tramacere I, Islami F, Fedirko V, Pelucchi C. Alcohol consumption and site-specific cancer risk: a comprehensive dose–response meta-analysis. British Journal of Cancer. 2015;112(3):580–593.
- Taylor B, Irving HM, Baliunas D, Roerecke M, Patra J, Mohapatra S, Rehm J. Alcohol and hypertension: gender differences in dose–response relationships determined through systematic review and meta‐analysis. Addiction. 2009;104(12);1981–1990.
- Patra J, Bakker R, Irving H, Jaddoe VW, Malini S, Rehm J. Dose-response relationship between alcohol consumption before and during pregnancy and the risks of low birthweight, preterm birth and small for gestational age (SGA)-a systematic review and meta-analyses. British Journal of Obstetrics and Gynecology, 2011;118(12):1411–1421.
- Patra J, Taylor B, Irving H, Roerecke M, Baliunas D, Mohapatra S, Rehm J. Alcohol consumption and the risk of morbidity and mortality for different stroke types-a systematic review and meta-analysis, BMC Public Health. 2010:10(1):258.
- Samokhvalov AV, Irving HM, Rehm J. Alcohol consumption as a risk factor for pneumonia: a systematic review and meta-analysis. Epidemiology and Infection. 2010b;138(12):1789–1795.
- Samokhvalov AV, Irving H, Mohapatra S, Rehm J. Alcohol consumption, unprovoked seizures, and epilepsy: a systematic review and meta‐analysis. Epilepsia. 2010c;51(7):1177–1184.
- Corrao G, Bagnardi V, Zambon A, Arico S. Exploring the dose-response relationship between alcohol consumption and the risk of several alcohol-related conditions: a meta-analysis. Addiction. 1999;94(10):1551–1573.
- Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Preventive Medicine. 2004;38(5):613–619.
- Zhao J, Stockwell T, Roemer A, Naimi T, Chikritzhs T. Alcohol consumption and mortality from coronary heart disease: An updated meta-analysis of cohort studies. Journal of Studies on Alcohol and Drugs. 2017;78(3):375–386.
- Stockwell T, Donath S, Cooper-Stanbury M, Chikritzhs T, Catalano P, Mateo C. Under-reporting of alcohol consumption in household surveys: a comparison of quantity-frequency, graduated-frequency and recent recall. Addiction. 2004;99(8):1024–1033.
- Nelson DE, Naimi TS, Brewer RD, Roeber J. US state alcohol sales compared to survey data, 1993–2006. Addiction. 2010;105:1589–1596.
- Blumberg S, Luke J. Wireless Substitution: Early Release of Estimates From the National Health Interview Survey, July–December 2018. Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics; 2019. Accessed January 24, 2020.
- Centers for Disease Control and Prevention. Methodologic changes in the Behavioral Risk Factor Surveillance System in 2011 and potential effects on prevalence estimates. MMWR Morb Mortal Wkly Rep. 2012;61:410–413.