Estimating alcohol-attributable injury deaths: A comparison of epidemiological methods.

Alcohol alcohol-attributable deaths alcohol-attributable fractions binge drinking injury population alcohol-attributable fraction

Journal

Addiction (Abingdon, England)
ISSN: 1360-0443
Titre abrégé: Addiction
Pays: England
ID NLM: 9304118

Informations de publication

Date de publication:
12 2023
Historique:
received: 19 01 2023
accepted: 18 06 2023
medline: 6 11 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: ppublish

Résumé

Injuries often involve alcohol, but determining the proportion caused by alcohol is difficult. Several approaches have been used to determine the causal role of alcohol, but these methods have not been compared directly with one another. Such a comparison would be useful for understanding the strengths and comparability of different approaches. This study compared estimates of average annual alcohol-attributable deaths in the United States from injuries during 2015-19 using a blood alcohol concentration (BAC) method compared with a population attributable fraction (PAF) approach. For the BAC method, we used a direct method involving the proportion of decedents with a high blood alcohol concentration (BAC; e.g. ≥ 0.10%). For the PAF approach, we compared the use of unadjusted survey data with average consumption data adjusted using alcohol sales data to account for underreporting and also accounting for the underreporting of binge drinking. Survey data were from the Behavioral Risk Factor Surveillance System and mortality data were from the National Vital Statistics System. The number of alcohol-attributable injury deaths using the direct method (48 516 deaths annually) was similar to that using PAF methods (47 879 deaths annually), but only when alcohol use measures were adjusted using alcohol sales data. Furthermore, estimates were similar for cause-specific categories of deaths, including non-motor vehicle unintentional injuries and motor vehicle crashes. Among PAF methods, excessive drinking accounted for 38.3% of injury deaths using unadjusted survey data, but 64.8% of injury deaths using adjusted data. Estimates of alcohol-attributable injury deaths from a direct method and from a population attributable fraction method that adjusts for alcohol use based on alcohol sales data appear to be comparable.

Sections du résumé

BACKGROUND AND AIMS
Injuries often involve alcohol, but determining the proportion caused by alcohol is difficult. Several approaches have been used to determine the causal role of alcohol, but these methods have not been compared directly with one another. Such a comparison would be useful for understanding the strengths and comparability of different approaches. This study compared estimates of average annual alcohol-attributable deaths in the United States from injuries during 2015-19 using a blood alcohol concentration (BAC) method compared with a population attributable fraction (PAF) approach.
METHODS
For the BAC method, we used a direct method involving the proportion of decedents with a high blood alcohol concentration (BAC; e.g. ≥ 0.10%). For the PAF approach, we compared the use of unadjusted survey data with average consumption data adjusted using alcohol sales data to account for underreporting and also accounting for the underreporting of binge drinking. Survey data were from the Behavioral Risk Factor Surveillance System and mortality data were from the National Vital Statistics System.
RESULTS
The number of alcohol-attributable injury deaths using the direct method (48 516 deaths annually) was similar to that using PAF methods (47 879 deaths annually), but only when alcohol use measures were adjusted using alcohol sales data. Furthermore, estimates were similar for cause-specific categories of deaths, including non-motor vehicle unintentional injuries and motor vehicle crashes. Among PAF methods, excessive drinking accounted for 38.3% of injury deaths using unadjusted survey data, but 64.8% of injury deaths using adjusted data.
CONCLUSIONS
Estimates of alcohol-attributable injury deaths from a direct method and from a population attributable fraction method that adjusts for alcohol use based on alcohol sales data appear to be comparable.

Identifiants

pubmed: 37466014
doi: 10.1111/add.16299
doi:

Substances chimiques

Blood Alcohol Content 0

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2466-2476

Informations de copyright

© 2023 Society for the Study of Addiction.

Références

Woolf SH, Schoomaker H. Life expectancy and mortality rates in the United States, 1959-2017. JAMA. 2019;322:1996-2016.
Esser MB, Leung G, Sherk A, Bohm MK, Liu Y, Lu H, et al. Estimated deaths attributable to excessive alcohol use among US adults aged 20 to 64 years, 2015 to 2019. JAMA Netw Open. 2022;5:e2239485.
Giesbrecht N, Cukier S, Steeves D. Collateral damage from alcohol: implications of ‘second-hand effects of drinking’ for populations and health priorities. Addiction. 2010;105:1323-1325.
Alpert HR, Slater ME, Yoon Y-H, Chen CM, Winstanley N, Esser MB. Alcohol consumption and 15 causes of fatal injuries: a systematic review and meta-analysis. Am J Prev Med. 2022;63:28-300.
Greene N, Tomedi LE, Cox ME, Mello E, Esser MB. Alcohol testing and alcohol involvement among violent deaths by state, 2014-2016. Prev Med. 2021;148:106527.
Mansournia MA, Altman DG. Population attributable fraction. BMJ. 2018;360:k757.
Esser M, Sherk A, Sabina Subbaraman M, Martinez P, Karriker-Jaffe K, Sacks J, et al. Improving estimates of alcohol-attributable deaths in the United States: the impact of adjusting for the underreporting of alcohol consumption. J Stud Alcohol Drugs. 2022;83:134-144.
Taylor B, Irving H, Kanteres F, Room R, Borges G, Cherpitel C, et al. The more you drink, the harder you fall: a systematic review and meta-analysis of how acute alcohol consumption and injury or collision risk increase together. Drug Alcohol Depend. 2010;110:108-116.
Zeisser C, Stockwell TR, Chikritzhs T, Cherpitel C, Ye Y, Gardner C. A systematic review and meta-analysis of alcohol consumption and injury risk as a function of study design and recall period. Alcohol Clin Exp Res. 2013;37:E1E8.
Centers for Disease Control and Prevention. Alcohol-Related Disease Impact (ARDI) International Classification of Diseases (ICD) Codes and Alcohol-Attributable Fraction (AAF) Sources 2021 [updated July 6]. Available at: https://www.cdc.gov/alcohol/ardi/alcohol-related-icd-codes.html (accessed 11 July 2023).
Shield K, Manthey J, Rylett M, Probst C, Wettlaufer A, Parry CD, et al. National, regional, and global burdens of disease from 2000 to 2016 attributable to alcohol use: a comparative risk assessment study (supplementary appendix, p. 51). Lancet Public Health. 2020;5:e51-e61.
World Health Organization (WHO). Global status report on alcohol and health 2018 Geneva, Switzerland: WHO; 2019.
Stahre M, Naimi T, Brewer R, Holt J. Measuring average alcohol consumption: the impact of including binge drinks in quantity-frequency calculations. Addiction. 2006;101:1711-1718.
Centers for Disease Control and Prevention. National Vital Statistics System 2019. Available at: https://www.cdc.gov/nchs/nvss/index.htm (accessed 11 July 2023).
Centers for Disease Control and Prevention. 2015 BRFSS Survey Data and Documentation Available at: https://www.cdc.gov/brfss/annual_data/annual_2015.html (accessed 11 July 2023).
Esser MB, Sherk A, Subbaraman MS, Martinez P, Karriker-Jaffe KJ, Sacks JJ, et al. Improving estimates of alcohol-attributable deaths in the United States: impact of adjusting for the underreporting of alcohol consumption. J Stud Alcohol Drugs. 2022;83:134-144.
National Center for Statistics and Analysis (NCSA). Fatality Analysis Reporting System (FARS) analytical user's manual, 1975-2018. Washington, DC: NCSA; 2019.
Slater M, Alpert H. Apparent per capita alcohol consumtion: national, state and regional trends, 1977-2018. 2019 [cited 2021 April 12]. Available at: https://pubs.niaaa.nih.gov/publications/surveillance113/CONS17.htm#top (accessed 11 July 2023).
Hosmer DW, Lemeshow S. Applied Logistic Regression New York, NY: Wiley; 2000.
Sherk A, Esser MB, Stockwell T, Naimi TS. Estimating alcohol-attributable liver disease mortality: a comparison of methods. Drug Alcohol Rev. 2022;41:1245-1253.
Mahdi I, Tomedi LE, Gerrard CY, Lathrop S, Landen M. Excessive alcohol use and drug overdose deaths, New Mexico, 2015-2016. Drug Alcohol Depend. 2020;215:108175.
Naimi TS, Xuan Z, Sarda V, Hadland SE, Lira MC, Swahn MH, et al. Association of state alcohol policies with alcohol-related motor vehicle crash fatalities among US adults. JAMA Intern Med. 2018;178:894-901.
Blomberg RD, Peck RC, Moskowitz H, Burns M, Fiorentino D. The Long Beach/Fort Lauderdale relative risk study. J Safety Res. 2009;40:285-292.
Compton RP, Berning A. Drug and alcohol crash risk: traffic safety facts: research notes Washington, DC: National Highway Traffic Safety Administration; 2015.
Voas RB, Torres P, Romano E, Lacey JH. Alcohol-related risk of driver fatalities: an update using 2007 data. J Stud Alcohol Drugs. 2012;73:341-350.
Nelson DE, Naimi TS, Brewer RD, Roeber J. U.S. state alcohol sales compared to survey data, 1993-2006. Addiction. 2010;105:1589-1596.
Cherpitel CJ, Ye Y, Bond J, Borges G, Monteiro M, Chou P, et al. Alcohol attributable fraction for injury morbidity from the dose-response relationship of acute alcohol consumption: emergency department data from 18 countries. Addiction. 2015;110:1724-1732.
Holahan CJ, Holahan CK, Moos RH. Binge Drinking and alcohol problems among moderate average-level drinkers. Am J Prev Med. 2022;63:324-330.
Naimi TS, Brewer RD, Mokdad AH, Denny C, Serdula M, Marks JS. Binge drinking among U.S. adults. JAMA. 2003;289:70-75.
Esser MB, Hedden SL, Kanny D, Brewer RD, Gfroerer JC, Naimi TS. Prevalence of alcohol dependence among US adult drinkers, 2009-2011. Prev Chronic Dis. 2014;11:140329.
Esser MB, Sacks JJ, Sherk A, Karriker-Jaffe KJ, Greenfield TK, Pierannunzi C, et al. Distribution of drinks consumed by US adults by average daily alcohol consumption: a comparison of 2 nationwide surveys. Am J Prev Med. 2020;59:669-677.
Babor T, Caetano R, Casswell S, Edwards G, Giesbrecht N, Graham K, et al. Alcohol: No Ordinary Commodity: Research and Public Policy New York: Oxford University Press; 2010.

Auteurs

Timothy S Naimi (TS)

Canadian Institute for Substance Use Research, Victoria, BC, Canada.

Adam Sherk (A)

Canadian Institute for Substance Use Research, Victoria, BC, Canada.

Marissa B Esser (MB)

Alcohol Program, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Jinhui Zhao (J)

Canadian Institute for Substance Use Research, Victoria, BC, Canada.

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