The relationship between self-reported drinking and BAC level in emergency room injury cases: is it a straight line?
- Authors
- Bond, Jason; Ye, Yu; Cherpitel, Cheryl J; Room, Robin; Rehm, Jürgen; Borges, Guilherme; Cremonte, Mariana; Gmel, Gerhard; Hao, Wei; Sovinova, Hana; Stockwell, Tim
- Year
- 2010
- Journal
- Alcoholism, clinical and experimental research
- PMID
- 20374201
- DOI
- 10.1111/j.1530-0277.2010.01188.x
- PMCID
- PMC2900453
BACKGROUND: While the validity of self-reported consumption based on blood alcohol concentration (BAC) has been found to be high in emergency room (ER) samples, little research exists on the estimated number of drinks consumed given a BAC level. Such data would be useful in establishing a dose-response relationship between drinking and risk (e.g., of injury) in those studies for which the number of drinks consumed is not available but BAC is. METHODS: Several methods were used to estimate the number of drinks consumed in the 6 hours prior to injury based on BAC obtained at the time of ER admission of n = 1,953 patients who self-reported any drinking 6 hours prior to their injury and who arrived to the ER within 6 hours of the event, from the merged Emergency Room Collaborative Alcohol Analysis Project (ERCAAP) and the World Health Organization Collaborative Study on Alcohol and Injury across 16 countries. RESULTS: The relationship between self-reported consumption and averaged BAC within each consumption level appeared to be fairly linear up to about 7 drinks and a BAC of approximately 100 mg/dl. Above about 7 reported drinks, BAC appeared to have no relationship with drinking, possibly representing longer consumption periods than only the 6 hours before injury for those reporting higher quantities consumed. Both the volume estimate from the bivariate BAC to self-report relationship as well as from a Widmark calculation using BAC and time from last drink to arrival to the ER indicated a somewhat weak relationship to actual number of self-reported drinks. CONCLUSIONS: Future studies may benefit from investigating the factors suspected to be driving the weak relationships between these measures, including the actual time over which the reported alcohol was consumed and pattern of drinking over the consumption period.
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| Name | Type |
|---|---|
| 16-country dataset local | cohort |
| 16-country ER study local | cohort |
| aggregated volume local | phenotype |
| Alberta ERCAAP local | cohort |
| alcohol | phenotype |
| Alcohol Use | phenotype |
| all respondents local | cohort |
| any drinking local | phenotype |
| BAC | phenotype |
| beer | drug |
| blood alcohol concentration | phenotype |
| Blood alcohol concentration local | other |
| blood alcohol concentration (BAC) | phenotype |
| Blood Alcohol Concentration negative local | phenotype |
| Blood Alcohol Concentration positive local | phenotype |
| body weight | phenotype |
| Breathalyzer local | drug |
| breath analysis BAC local | drug |
| college students | cohort |
| continuous volume scale local | phenotype |
| drinking | phenotype |
| drinking 6 hours prior to injury local | phenotype |
| drinks per week | phenotype |
| Emergency department cohort local | cohort |
| Emergency department sample local | cohort |
| Emergency Room local | cohort |
| Emergency Room Cohort local | cohort |
| Emergency Room Collaborative Alcohol Analysis Project local | cohort |
| Emergency Room (ER) local | cohort |
| emergency room studies local | cohort |
| Empirical estimate of drinks local | phenotype |
| Empirical regression estimated volume local | phenotype |
| Empirical volume local | phenotype |
| empirical volume estimate local | phenotype |
| ERCAAP local | cohort |
| ERCAAP/WHO sample local | cohort |
| ER patients local | cohort |
| ER patients with serious conditions local | cohort |
| estimated BAC local | phenotype |
| ethanol consumption | phenotype |
| food intake | phenotype |
| GENACIS | cohort |
| Global Burden of Disease local | cohort |
| Gold standard local | phenotype |
| heavy drinking | phenotype |
| individual volume local | phenotype |
| Injured patients local | cohort |
| Injured persons local | cohort |
| injury morbidity local | phenotype |
| Ireland | cohort |
| Ireland and Switzerland ERs local | cohort |
| light drinkers | phenotype |
| liver clearance rate local | phenotype |
| main sample local | cohort |
| Mexico | cohort |
| motor vehicle injury patients local | cohort |
| New Zealand ERCAAP local | cohort |
| no drinking local | phenotype |
| number of drinks local | phenotype |
| over-reporting local | phenotype |
| positive BAC local | phenotype |
| Positive BAC local | phenotype |
| quantity of alcohol consumed | phenotype |
| Quebec ERCAAP local | cohort |
| risk of injury local | phenotype |
| Self-report local | phenotype |
| Self-reported alcohol consumption | phenotype |
| Self-reported categorized volume local | phenotype |
| self-reported consumption local | phenotype |
| Self-reported consumption local | phenotype |
| Self-reported drinks local | phenotype |
| Self-reported drinks consumed local | phenotype |
| self-reported number of drinks local | phenotype |
| Self-reported number of drinks local | phenotype |
| self-reported silver standard local | cohort |
| self-reported volume local | phenotype |
| Self-reported volume local | phenotype |
| Self-reported Volume local | phenotype |
| self-reported volume of consumption local | phenotype |
| Self-report validity local | phenotype |
| Self-report volume local | phenotype |
| serum BAC local | drug |
| Silver standard local | phenotype |
| Spain | cohort |
| spirits | drug |
| study cohort | cohort |
| Switzerland | cohort |
| trauma | phenotype |
| under-reporting local | phenotype |
| United States | cohort |
| validation sample | cohort |
| Violence-related injuries local | phenotype |
| violence-related injury local | phenotype |
| volume bin endpoints local | phenotype |
| volume level local | phenotype |
| VSR local | phenotype |
| WHO Collaborative Study on Alcohol and Injuries local | cohort |
| WHO study local | cohort |
| Widmark equation local | drug |
| Widmark estimated volume local | phenotype |
| Widmark-estimated volume local | phenotype |
| Widmark estimate of drinks local | phenotype |
| Widmark volume local | phenotype |
| wine | drug |
| zero BAC local | phenotype |
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| A commentary on the value of a time qualifier in the definition of high-intensity drinking. | Merrill JE | — | 2024 | → |
| Transcriptional analysis of the response of C. elegans to ethanol exposure. | Sterken MG et al. | — | 2021 | → |
| Racial/Ethnic Disparities in the Relationship of Alcohol-Related Injury and Perceived Driving Under the Influence from Hours of Exposure to High Blood Alcohol Concentration: Data From Four US National Alcohol Surveys (2000-2015). | Cherpitel CJ et al. | — | 2020 | → |
| Gender differences in the consumption of alcohol mixed with caffeine and risk of injury. | Roemer A et al. | — | 2019 | → |
| Validity of self-reports of drinking before injury by cause of injury and societal context among emergency department patients. | Cherpitel CJ et al. | — | 2019 | → |
| Cross-species molecular dissection across alcohol behavioral domains. | Farris SP et al. | — | 2018 | → |
| Drinking context and cause of injury: Emergency department studies from 22 countries. | Korcha RA et al. | — | 2018 | → |
| Risk of Past Year Injury Related to Hours of Exposure to an Elevated Blood Alcohol Concentration and Average Monthly Alcohol Volume: Data from 4 National Alcohol Surveys (2000 to 2015). | Cherpitel CJ et al. | — | 2018 | → |
| Commentary on Patrick and Colleagues: High-Intensity Drinking Among Young Adults in the United States: Prevalence, Frequency, and Developmental Change. | White AM | — | 2017 | → |
| Genomewide Association Study of Alcohol Dependence Identifies Risk Loci Altering Ethanol-Response Behaviors in Model Organisms. | Adkins AE et al. | — | 2017 | → |
| Violence and non-violence-related injuries and alcohol in women from developed and developing countries: a multi-site emergency room study. | da Silva RL et al. | — | 2015 | → |
| Alcohol consumption as an incremental factor in health care costs for traffic accident victims: evidence in a medium sized Colombian city. | Gómez-Restrepo C et al. | — | 2014 | → |
| Alcohol intake and risk of injury. | Cremonte M et al. | — | 2014 | → |
| Alcohol-medical drug interactions. | Johnson BA et al. | — | 2014 | → |
| Diagnostic accuracy study of three alcohol breathalysers marketed for sale to the public. | Ashdown HF et al. | — | 2014 | → |
| Does beverage type and drinking context matter in an alcohol-related injury? Evidence from emergency department patients in Latin America. | Andreuccetti G et al. | — | 2014 | → |
| A review of emergency room studies on alcohol and injuries conducted in Latin America and the Caribbean region. | Andreuccetti G et al. | — | 2012 | → |
| Last Call: decreasing drunk driving among 21-34-year-old bar patrons. | Rivara FP et al. | — | 2012 | → |
| Multi-level analysis of alcohol-related injury and drinking pattern: emergency department data from 19 countries. | Cherpitel CJ et al. | — | 2012 | → |
| Alcohol and risk of admission to hospital for unintentional cutting or piercing injuries at home: a population-based case-crossover study. | Thornley S et al. | — | 2011 | → |
| Clinical signs of alcohol intoxication as markers of refusal to provide blood alcohol readings in emergency rooms: an exploratory study. | Pechansky F et al. | — | 2010 | → |