A short version of the Alcohol Consumption Consequences Evaluation Scale (ACCE10).

A brief version of the Alcohol Consumption Consequences Evaluation Scale (ACCE) [38] was developed to promptly detect possible risks related to alcohol consumption, such as Binge Drinking (BD), in university students. Using the "snowball" method, a sample of 595 students aged 18 to 20 (65.4% women) from the University of Valencia (Spain) was obtained during the 2019-2020 academic year. Items with the highest values of the discrimination parameter in the original version (ACCE) were selected and the Rasch model was applied. To verify the usefulness of this version, ROC analyses were conducted separately for men and women using the Audit score as the criterion. In the overall sample, the analysis had an area of 0.812 (SE = 0.018). In men, the area was 0.796 (SE = 0.032) and for women, it was 0.823 (SE = 0.021). In addition, a logistic regression analysis was performed, using a cut-off point of 3 based on the ROC analysis, to assess the utility of this version in classifying BD and non-BD. The odds ratio was 3.812 (p = 0.000), correctly classifying 89.2% of the young people and indicating that the probability of engaging in BD is 3.8 times higher for individuals obtaining more than 3 points on this scale. This result confirms the usefulness of this brief version (ACCE10) as a screening tool for early intervention, especially in clinical or university settings, since it allows young people to be situated within a range of severity according to their consumption patterns. Furthermore, it may help stop the progression of the addictive process, create awareness of the need for change, and facilitate access to the most suitable interventions.

Predicting moderate drinking behaviors in National Health and Nutrition Examination Survey participants using biochemical and demographical factors with machine learning.

Recent studies revealed that any amount of alcohol consumption is an overall health detriment to multiple populations, contrary to popular beliefs. In addition, very few alcohol use studies utilized machine learning methods to compare the biological health of moderate drinkers compared to those that abstain from alcohol consumption, opting instead to focus on binge drinking and heavy drinking. Using participant data of multiple factor types from the National Health and Nutrition Examination Survey, we created prediction models with stacked ensembles and gradient boosting models. Machine learning models were used to identify which factors most enabled the prediction of moderate drinking behaviors. Our combined factor runs produced a cross-validation area under the curve (AUC) of 0.929 and a validation area under the curve of 0.806. Runs that only included biochemical or demographical factors received cross-validation AUC values of 0.825 and 0.925, and validation AUC values of 0.757 and 0.783, respectively. The top predictive factors for our machine learning runs, including gamma glutamyl transferase, gender, iron levels, and cigarette and marijuana usage, corroborate past studies that link those factors to alcohol consumption. Our findings identified key differences in the biological health of moderate drinkers compared to those that abstain from drinking. These results reveal a need to further explore the health effects of moderate drinking, especially for vulnerable populations.

Initiation of and Escalation to High-Intensity Drinking in Young Adults.

Importance: High-intensity drinking (HID) (≥10 drinks in a row) is associated with acute negative outcomes. Identifying factors associated with HID initiation in adolescence and how it is associated with young adulthood outcomes can inform screening and prevention. Objective: To identify when individuals initiate HID and speed of escalation from first drink and first binge to first HID; characteristics associated with initiation and escalation; and whether these characteristics are associated with weekly alcohol consumption, HID frequency, and symptoms of alcohol use disorder at age 20 years. Design, Setting, and Participants: This cohort study analyzed web-based survey data from respondents in the US who reported alcohol use in the past 30 days recruited from the 2018 12th grade Monitoring the Future study and surveyed again from February 14 through April 17, 2020, at modal age 20 years in the Young Adult Daily Life Study. Only respondents who reported HID by modal age 20 years were included in the analyses. Exposures: Retrospective alcohol use initiation and self-reported alcohol use measures. Main Outcomes and Measures: Key retrospective measures included year of initiation for alcohol, first binge (≥5 drinks), and HID (≥10 drinks). Measures at age 20 years included weekly alcohol consumption, HID frequency, and Alcohol Use Disorders Identification Test (AUDIT) scores. Covariates included biologic sex, race and ethnicity, parental college education, family history of alcohol problems, and college status. Descriptive statistics and multivariable regression models were used, and all analyses were weighted. Results: Of the 451 participants with data eligible for analysis, 62.0% were male (38.0% female). On average, alcohol, binge, and HID were initiated during high school. Mean time of escalation from first drink to first HID was 1.9 (95% CI, 1.8-2.1) years and between first binge and first HID, 0.7 (95% CI, 0.6-0.8) years. Initiating HID by grade 11 (vs later) was associated with higher average weekly alcohol consumption (adjusted incidence rate ratio [aIRR], 1.40; 95% CI, 1.10-1.79]), HID frequency (aIRR, 2.01; 95% CI, 1.25-3.22]), and AUDIT score (adjusted odds ratio, 1.17; 95% CI, 1.02-1.34]) at age 20 years. Escalation from first binge to first HID in the same year (vs ≥1 year) was associated with higher HID frequency at age 20 years (aIRR, 1.66; 95% CI, 1.06-2.61). Conclusions and Relevance: These findings suggest that understanding ages and patterns of HID initiation and escalation associated with particular risk may facilitate screening for adolescents and young adults.

Heterogeneity of definitions and measurements of binge drinking in research on adolescents and young adults.

INTRODUCTION: Binge drinking is a widespread health compromising behaviour among adolescents and young adults and is one of the leading causes of mortality and injuries among this population. The definitions and measurement methods of binge drinking are heterogeneous but constitute a crucial component in the literature on associated factors related to binge drinking. This study focused on how binge drinking is defined and measured in the literature exploring its associated risk factors among adolescents and young adults. METHODS: The databases PubMed, Embase, PsycINFO and Social Care were searched for articles published between 1 January 2006 and 30 April 2020 using 3 concepts: binge drinking; risk or protective factors; and adolescents/young adults with respective key words. Data were extracted on the main characteristics of studies and the parameters of binge drinking measurements. RESULTS: 173 studies were included, mostly cross-sectional (61 %) and longitudinal (38 %). Only 23 % of the studies explicitly referred to a standardised definition of binge drinking even though 76 % of the studies used a consensual threshold of 5 drinks or more for men. A lower threshold for women was applied in 26 % of the studies. Recall periods ranged between 2 weeks and 1 year in 85 % of the studies and only 16 % presented binge drinking in terms of frequency and/or quantity of drinks. CONCLUSION: Our results highlight the heterogeneity in the definitions and measurements of binge drinking, raising concerns for meaningful comparisons between studies focused on factors associated with the behaviour. The scientific community needs to be aware of these variations and address the gap of poor stratification and inconsistencies in binge drinking reporting.

Addressing methodological issues in a study of impulsivity and vulnerability for transition to alcohol use disorder.

BACKGROUND: Heightened behavioral impulsivity has been advocated as a preexisting risk factor for the development of alcohol use disorder (AUD). Nonetheless, studies investigating impulsivity in adolescent/young adult at-risk drinkers-who are at increased risk of developing AUD-report mixed findings. This may be due to methodological limitations related to definitions of at-risk drinking, the retrospective assessment of alcohol intake, and/or the relatively modest sample size of some studies. METHODS: Healthy individuals (N = 814, Mage  = 22.50) completed online surveys and a measure of choice impulsivity. Of these, a number of participants also undertook an online measure of response inhibition (n = 627, Mage  = 22.66), and a further subgroup submitted real-time alcohol consumption information for a period of 21 days using an app (n = 543, Mage  = 22.96). Differences in behavioral impulsivity were assessed as a function of various at-risk alcohol intake categories. Hierarchical multiple regression was employed to determine whether impulsivity predicted alcohol use in the form of a continuous index comprising variables related to intake and consequences of use. RESULTS: Significantly greater impulsivity was not evident in heavy, standard binge, high binge, harmful, or hazardous alcohol drinkers as compared to controls, regardless of the criteria employed to categorize these at-risk drinkers. Neither choice impulsivity nor reduced response inhibition significantly predicted the alcohol use index. CONCLUSIONS: While results could be attributed to the online nature of this research, it is possible that more sensitive measures of behavioral impulsivity are required when assessing nondependent drinkers.

Optimal Cutoff Values of the Alcohol Use Disorders Identification Test and its Short Version for Detecting Excessive Alcohol Use in Japanese College Students.

Alcohol use disorder is a serious health problem in college students. Alcohol Use Disorders Identification Test (AUDIT) is a 10-item screening tool to assess alcohol consumption, drinking behaviors, and alcohol-related problems. AUDIT-C is a short version of AUDIT, consisting of consumption items 1-3. However, the optimal cutoff values of AUDIT and AUDIT-C for detecting excessive drinking are not available for Japanese college students. The aim of this study was to evaluate the validity of cutoff points of AUDIT and AUDIT-C for detecting moderate drinking, heavy drinking and binge drinking among Japanese college students. The cross-sectional study was based on an anonymous, self-administered questionnaire. In January 2017, we sampled college students and graduate students aged 20 years or older during annual health examinations at Mie University in Japan. Two thousand students underwent health examinations, and the eligible subjects were 1,600, including 152 (9.5%) moderate drinkers, 58 (3.6%) heavy drinkers and 666 (41.6%) binge drinkers. ROC (receiver operating characteristic) curve analysis showed that the optimal cutoff values for moderate drinking, heavy drinking and binge drinking were 5, 8 and 5 for men and 4, 7 and 4 for women in AUDIT; and 4, 7 and 4 for men and 4, 7 and 4 for women in AUDIT-C, respectively. Moderate drinking is considered unsafe drinking. Therefore, the optimal cutoff values for moderate drinking (5 for men and 4 for women in AUDIT and 4 for both sexes in AUDIT-C) are important parameters for prevention of alcohol use disorder in Japanese college students.

You Didn't Drink During Pregnancy, Did You?

BACKGROUND: Accurate characterization of prenatal alcohol exposure (PAE) is challenging due to inconsistent use of screening questionnaires in routine prenatal care and substantial underreporting due to stigma associated with alcohol use in pregnancy. The aim of this study was to identify self-report tools that are efficient in accurately characterizing PAE. METHODS: Participants meeting eligibility criteria for mild-to-moderate PAE were recruited into the University of New Mexico Ethanol, Neurodevelopment, Infant and Child Health cohort (N = 121) and followed prospectively. Timeline follow-back (TLFB) interviews were administered at baseline to capture alcohol use in the periconceptional period and 30 days before enrollment; reported quantity was converted to oz absolute alcohol (AA), multiplied by frequency of use and averaged across 2 TLBF calendars. The interview also included questions about timing and number of drinks at the most recent drinking episode, maximum number of drinks in a 24-hour period since the last menstrual period, and number of drinks on "special occasions" (irrespective of whether these occurred within the TLFB reported period). Continuous measures of alcohol use were analyzed to yield the number of binge episodes by participants who consumed ≥4 drinks/occasion. The proportion of women with ≥1 binge episode was also tabulated for each type of assessment. RESULTS: Average alcohol consumption was 0.6 ± 1.3 oz of AA/day (≈ 8.4 drinks/wk). Only 3.3% of participants reported ≥1 binge episode on the TLFB, 19.8% had ≥1 binge episode when asked about "special occasions," and 52.1% when asked about the number of drinks the last time they drank alcohol. An even higher prevalence (89.3%) of bingeing was obtained based on the maximum number of drinks consumed in a 24-hour period. CONCLUSIONS: Self-reported quantity of alcohol use varies greatly based on type of questions asked. Brief targeted questions about maximum number of drinks in 24 hours and total number of drinks during the most recent drinking episode provide much higher estimates of alcohol use and thus might be less affected by self-reporting bias.

Performance of self-reported measures of alcohol use and of harmful drinking patterns against ethyl glucuronide hair testing among young Swiss men.

BACKGROUND: There is a need for empirical studies assessing the psychometric properties of self-reported alcohol use as measures of excessive chronic drinking (ECD) compared to those of objective measures, such as ethyl glucuronide (EtG). OBJECTIVES: To test the quality of self-reported measures of alcohol use and of risky single-occasion drinking (RSOD) to detect ECD assessed by EtG. METHODS: A total of 227 samples of hair from young Swiss men were used for the determination of EtG. Self-reported measures of alcohol use (previous twelve-month and previous-week alcohol use) and RSOD were assessed. Using EtG (<30 pg/mg) as the gold standard of ECD assessment, the sensitivity and specificity were computed, and the AUROC were compared for alcohol use measures and RSOD. Logistic regressions were used to test the contribution of RSOD to the understanding of ECD after controlling for alcohol use. RESULTS: A total of 23.3% of participants presented with ECD. Previous twelve-month alcohol use with a cut-off of >15 drinks per week (sensitivity = 75.5%, specificity = 78.7%) and weekly RSOD (sensitivity = 75.5%, specificity = 70.1%) yielded acceptable psychometric properties. No cut-off for previous-week alcohol use gave acceptable results. In the multivariate logistic regression, after controlling for the previous twelve months of alcohol use, RSOD was still significantly associated with EtG (p = .016). CONCLUSION: Self-reported measures of the previous twelve months of alcohol use and RSOD were acceptable measures of ECD for population-based screening. Self-reported RSOD appeared to be an interesting screening measure, in addition to the previous twelve months of alcohol use, to understand ECD among young people.

Hyperalgesia after a Drinking Episode in Young Adult Binge Drinkers: A Cross-Sectional Study.

AIMS: Rodent studies propose potential mechanisms linking excessive drinking and pain hypersensitivity (hyperalgesia), such that stress hormones (i.e. epinephrine and cortisol) mediate induction and maintenance of alcohol withdrawal-induced hyperalgesia. The first aim of this study was to examine whether hyperalgesia would occur within 48 h after a drinking episode in healthy young adult binge drinkers. The second was to examine whether stress hormones and negative effect would be associated with binge drinking or alcohol withdrawal-associated hyperalgesia. METHODS: A cross-sectional experiment was conducted in five groups with naturally occurring drinking (mean age = 19.6, range 18-29 years): abstainers (n = 43, 54% female), moderate drinkers with (n = 50, 50% female) or without recent drinking (i.e. within 48 h, n = 23, 26% female) and binge drinkers with (n = 36, 58% female) or without recent drinking (n = 25, 44% female). All types of drinkers endorsed drinking about 2-3 times a month and 2-3 years of drinking history. RESULTS: Muscle pressure pain thresholds were significantly lower in the binge group with recent drinking compared to other groups, but cutaneous mechanical and heat pain thresholds were not significantly different across the five groups. Basal epinephrine levels were significantly higher in binge groups regardless of recent drinking, but cortisol and negative effect were not significantly different across the five groups. CONCLUSIONS: This is the first study to show that alcohol withdrawal-associated muscle hyperalgesia may occur in healthy episodic binge drinkers with only 2-3 years of drinking history, and epinephrine may play a role in binge drinking-associated hyperalgesia.

What We Talk About When We Talk About Binge Drinking: Towards an Integrated Conceptualization and Evaluation.

RATIONALE: Binge drinking (BD), characterized by recurring alternations between intense intoxication episodes and abstinence periods, is the most frequent alcohol consumption pattern in youth and is growing in prevalence among older adults. Many studies have underlined the specific harmful impact of this habit by showing impaired abilities in a wide range of cognitive functions among binge drinkers, as well as modifications of brain structure and function. AIMS: Several controversies and inconsistencies currently hamper the harmonious development of the field and the recognition of BD as a specific alcohol consumption pattern. The main concern is the absence of consensual BD conceptualization, leading to variability in experimental group selection and alcohol consumption evaluation. The present paper aims at overcoming this key issue through a two-step approach. METHODS AND CONCLUSIONS: First, a literature review allows proposing an integrated BD conceptualization, distinguishing it from other subclinical alcohol consumption patterns. Six specific characteristics of BD are identified, namely, (1) the presence of physiological symptoms related to BD episodes, (2) the presence of psychological symptoms related to BD episodes, (3) the ratio of BD episodes compared to all alcohol drinking occasions, (4) the frequency of BD episodes, (5) the consumption speed and (6) the alternation between BD episodes and soberness periods. Second, capitalizing on this conceptual clarification, we propose an evaluation protocol jointly measuring these six BD characteristics. Finally, several research perspectives are presented to refine the proposed conceptualization.

Stability of At-risk Alcohol Use Screening Results in a General Population Sample.

BACKGROUND: In combination with systematic routine screening, brief alcohol interventions have the potential to promote population health. Little is known on the optimal screening interval. Therefore, this study pursued 2 research questions: (i) How stable are screening results for at-risk drinking over 12 months? (ii) Can the transition from low-risk to at-risk drinking be predicted by gender, age, school education, employment, or past week alcohol use? METHODS: A sample of 831 adults (55% female; mean age = 30.8 years) from the general population was assessed 4 times over 12 months. The Alcohol Use Disorders Identification Test-Consumption was used to screen for at-risk drinking each time. Participants were categorized either as low-risk or at-risk drinkers at baseline, 3, 6, and 12 months later. Stable and instable risk status trajectories were analyzed descriptively and graphically. Transitioning from low-risk drinking at baseline to at-risk drinking at any follow-up was predicted using a logistic regression model. RESULTS: Consistent screening results over time were observed in 509 participants (61%). Of all baseline low-risk drinkers, 113 (21%) received a positive screening result in 1 or more follow-up assessments. Females (vs. males; OR = 1.66; 95% confidence intervals [95% CI] = 1.04; 2.64), 18- to 29-year-olds (vs. 30- to 45-year-olds; OR = 2.30; 95% CI = 1.26; 4.20), and those reporting 2 or more drinking days (vs. less than 2; OR = 3.11; 95% CI = 1.93; 5.01) and heavy episodic drinking (vs. none; OR = 2.35; 95% CI = 1.06; 5.20) in the week prior to the baseline assessment had increased odds for a transition to at-risk drinking. CONCLUSIONS: Our findings suggest that the widely used time frame of 1 year may be ambiguous regarding the screening for at-risk alcohol use although generalizability may be limited due to higher-educated people being overrepresented in our sample.

Is Pediatric Traumatic Brain Injury Associated with Adult Alcohol Misuse?

Evidence suggests that pediatric traumatic brain injury (TBI) may be causally related to alcohol misuse later in life; however, the nature and extent of the association has not been well described. This study examined the relationship between pediatric TBI and adult alcohol misuse in a population sample ≥20 years of age. We sought to determine (1) whether first self-reported incidence of TBI with loss of consciousness (LOC) before the age of 20 increased the risk for alcohol misuse later in life; and (2) whether sex, injury severity, and age at time of injury modified the association. We found a greater likelihood of binge but not heavy drinking for those whose first self-reported TBI with LOC occurred before the age of 20 when compared with those whose first self-reported TBI with LOC occurred later in life (28.5% vs. 20.4%, p = 0.003). When limited to those with only mild TBI, the relationship to binge drinking remained significant (31.9% vs. 19.3%, p < 0.001) and was evident for both males (38.4% vs. 25.6%, p = 0.016) and females (20.9% vs. 12.4%, p = 0.044). When controlling for sex, age, and race/ethnicity, reporting a first TBI with LOC before age 20 was associated with binge drinking only for those with mild TBI (adjusted odds ratio [AOR] = 1.32; 95% confidence interval [CI] = 1.00-1.74). Results also showed that those with first TBI with LOC occurring between the ages of 10 and 19 years were more likely to binge drink as adults than those first injured earlier in life, regardless of TBI severity. Further research is needed at both the epidemiological and pre-clinical levels to better understand this relationship.

Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter's Users: An Exploratory Content- and Topology-Based Analysis.

Binge Drinking (BD) is a common risky behaviour that people hardly report to healthcare professionals, although it is not uncommon to find, instead, personal communications related to alcohol-related behaviors on social media. By following a data-driven approach focusing on User-Generated Content, we aimed to detect potential binge drinkers through the investigation of their language and shared topics. First, we gathered Twitter threads quoting BD and alcohol-related behaviours, by considering unequivocal keywords, identified by experts, from previous evidence on BD. Subsequently, a random sample of the gathered tweets was manually labelled, and two supervised learning classifiers were trained on both linguistic and metadata features, to classify tweets of genuine unique users with respect to media, bot, and commercial accounts. Based on this classification, we observed that approximately 55% of the 1 million alcohol-related collected tweets was automatically identified as belonging to non-genuine users. A third classifier was then trained on a subset of manually labelled tweets among those previously identified as belonging to genuine accounts, to automatically identify potential binge drinkers based only on linguistic features. On average, users classified as binge drinkers were quite similar to the standard genuine Twitter users in our sample. Nonetheless, the analysis of social media contents of genuine users reporting risky behaviours remains a promising source for informed preventive programs.

Screening for Alcohol Use and Brief Counseling of Adults - 13 States and the District of Columbia, 2017.

Binge drinking* is a leading preventable public health problem. From 2006 to 2010, binge drinking contributed to approximately 49,000 annual deaths resulting from acute conditions (e.g., injuries and violence) (1). Binge drinking also increases the risk for adverse health conditions, including some chronic diseases (e.g., breast cancer) and fetal alcohol spectrum disorders (2). In 2004, 2013, and again in 2018, for all U.S. adults aged ≥18 years in primary care, the U.S. Preventive Services Task Force (USPSTF) recommended alcohol screening and brief intervention (alcohol SBI) or counseling for persons whose screening indicated drinking in excess of recommended limits or in ways that increase risk for poor health outcomes (3-5). However, previous CDC surveillance data indicate that patients report rarely talking to their provider about alcohol use,† and alcohol SBI is traditionally delivered through conversation. CDC recently analyzed 2017 data from the Behavioral Risk Factor Surveillance System (BRFSS) survey's five-question module, which asked adults in 13 states§ and the District of Columbia (DC) about the delivery of alcohol SBI during their most recent checkup in the past 2 years. Overall, 81.4% of adults (age-standardized estimate) reported being asked about alcohol use by a health professional in person or on a form during a checkup in the past 2 years, but only 37.8% reported being asked a question about binge-level alcohol consumption, which is included on USPSTF recommended instruments (3). Among module respondents who were asked about alcohol use at a checkup in the past 2 years and reported current binge drinking (past 30 days) at time of survey, only 41.7% were advised about the harms of drinking too much at a checkup in the past 2 years, and only 20.1% were advised to reduce or quit drinking at a checkup in the past 2 years. These findings suggest that missed opportunities remain for health care providers to intervene with patients who report binge drinking. Working to implement alcohol SBI at a systems level, including the provision of the new Healthcare Effectiveness Data Information Set (HEDIS) measure, Unhealthy Alcohol Use Screening and Follow-Up, can improve alcohol SBI's use and benefit in primary care.

Emotional memory bias in binge drinking women.

BACKGROUND: Heightened emotionality and overrepresentation of memories are typical features of adolescence. Binge drinking (BD) during emerging adulthood has been linked to cognitive difficulties such as deficits in episodic memory. Despite that impairments in emotional functioning have been associated with the development of alcohol use disorders, particularly in females, the emotional sphere has been relatively unexplored in BDs. Therefore, the purpose of this study is to examine the effects of BD in emotional episodic memory from a gender perspective. METHODS: One hundred and eighty (96 females) university students were followed during two years (18-20 years old) and their alcohol use was recorded. In the last assessment, participants completed an emotional list-learning task. Generalized linear mixed models were applied separately for males and females, in accordance with sex differences in the development of emotion circuitry. RESULTS: In females, BD was associated with an emotional memory bias in favour of negative information and lower recall of positive and neutral words. In addition, females BDs showed more false alarms for negative distractors. Whereas in males, no alcohol-related effects were found. CONCLUSIONS: Female BDs present a negative memory bias, poor learning and delayed episodic recall linked to the interference of negative content, which suggests difficulties in disengaging attention to salient negative stimuli and a reduction of inhibitory capacities. This might result in greater vulnerability to alcohol-related emotional disturbances among women. Further research is needed to understand the role of emotional regulation in the escalation of alcohol abuse from a gender perspective.

High-Intensity Drinking in Adult Australian Twins.

BACKGROUND: Many adult drinkers consume far beyond the binge threshold. This "high-intensity drinking" (HID), defined as 2 (HID-2) and 3 (HID-3) times the binge threshold, is of public health interest due to its role in acute alcohol-related harms. Research on HID has mostly been limited to college-aged young adults, focused on contextual factors, and neglected the potential role of genetic influences on the propensity to engage in HID. METHODS: Structured diagnostic interviews assessing past-year alcohol involvement were conducted with 3,785 individuals (1,365 men, 2,420 women; Mage  = 32, range = 21 to 46), including 3,314 twins and 471 nontwin siblings from the Australian Twin Registry. Multinomial logistic regression analyses were conducted to compare HID-2 and HID-3 to binge drinking on demographic correlates, drinking characteristics, and drinking-related consequences. Biometric modeling was conducted to estimate the role of genetic, common, and individual-specific environmental factors in HID propensity. RESULTS: Among past-year drinkers, the prevalence of HID-2 and HID-3 was both 22%, with men disproportionally represented. The frequencies of drinking, intoxication, and binge drinking significantly increased across the heavier drinking categories, which also evidenced higher average consumption quantities and higher rates of alcohol-related consequences. The propensity to engage in HID was significantly heritable (A = 37% [95% CI: 28 to 46%]), with individual-specific environmental influences accounting for the remainder of the variance. CONCLUSIONS: This study convincingly demonstrates that HID is not restricted to college-aged young adults, but also can be highly prevalent among those of working age, and that the propensity to engage in HID is partially explained by genetic influences.

Evaluación de la adaptación de los ítems de consumo del AUDIT para mejor el cribado de Binge Drinking en universitarios / Evaluation of AUDIT Consumption Items New Adaptation to Improve the Screening of College Students Binge Drinking

La importante presencia del Binge Drinking (BD) entre estudiantes universitarios, junto con las consecuencias asociadas al mismo y los cambios experimentados en los últimos años en su conceptualización, hacen necesario revisar la utilidad de los instrumentos de cribado para detectar este patrón de consumo. Este estudio examina la utilidad de una adaptación del AUDIT propuesta por Cortés, Giménez, Motos y Sancerni (2017a). Una muestra de estudiantes universitarios cumplimentó el AUDIT, los ítems 2 y 3 revisados (A2r y A3r), y un autoinforme semanal de su consumo de alcohol. A partir de la cantidad máxima de alcohol consumido en una ocasión y de la frecuencia de dicho consumo en los últimos seis meses se clasificaron los jóvenes como BD o no-BD. Se examinaron las puntuaciones del AUDIT, AUDIT-C y de los ítems A2r+A3r (AR2I). Los resultados obtenidos con 605 universitarios (18-21 años/55,2% mujeres) indican que 449 cumplen criterios de BD. Los ítems A2r y A3r, adaptados a una definición más consensuada de BD, identifican el 98% de los estudiantes BD cuando se usa un punto de corte ≥ 3 en mujeres y ≥ 4 en varones, con valores óptimos de sensibilidad y especificidad. Esta adaptación realizada, que incluye menor número de ítems, identifica a los universitarios BD de manera más precisa. Se confirma la necesidad de ajustar ambos ítems de consumo de acuerdo al patrón de ingesta BD que realizan los estudiantes universitarios mejorando notablemente su detección y facilitando un abordaje temprano

The strong presence of Binge Drinking (BD) amongst university students, as well as the consequences associated with the same and the changes taking place over recent years regarding its conceptualization make it necessary to examine the usefulness of screening instruments used to detect this drinking pattern. This study examines the usefulness of a briefer adaptation of the AUDIT proposed by Cortés, Giménez, Motos, and Sancerni (2017a). College students self-administered the AUDIT, the revised items 2 and 3 (A2r and A3r), and completed a weekly self-report of their alcohol intake. BD was classified according to the amount consumed and the frequency of that consumption over the past six months. The AUDIT, AUDIT-C and items A2r+A3r (AR2I) were examined. The results obtained from a sample of 605 college students (18- 21 years old/55.2% female) indicate that 449 meet the BD criteria. Items A2r and A3r, adapted to the most consensual definition of BD, were found to identify 98% of BD college students when using a cut-off point of ≥ 3 in females and ≥ 4 in males with optimum levels of sensitivity and specificity. The new adaptation, which includes fewer items, identifies BD college students more accurately. This confirms the need to adjust both consumption items from the model according to the pattern of consumption in college students to detect BD more precisely and as soon as possible

The relation between ADHD symptoms, perceived stress and binge drinking in college students.

Binge drinking is a major public health problem associated with various negative short-term and long-term clinical and social outcomes. If there is evidence to suggest a relationship between ADHD and alcohol use in college students, no study has investigated the role of ADHD symptomatology in binge drinking. Thus, this research was designed to explore the relative contributions of inattention and hyperactivity/impulsivity symptoms to binge drinking in a sample of French college students while controlling for effects of perceived stress. Participants (N = 7011; mean age = 20.9; 74.9% of females) completed self-report surveys assessing ADHD symptoms, perceived stress, sociodemographic characteristics, and binge drinking frequency. Multinomial logistic regression revealed significant associations between higher levels of ADHD symptoms in general, but not perceived stress, and increasing frequency of binge drinking. Moreover, higher levels of inattention and hyperactivity/impulsivity symptoms were independently associated with greater frequency of binge drinking. The association was stronger between high rates of binge drinking and inattention than for hyperactivity/impulsivity. These findings, which remained statistically significant after adjusting for a range of potential confounders (including perceived stress), suggest that the presence of ADHD symptoms may be an important factor related to binge drinking.

Interaction Between Alcohol Use and Metabolic Risk Factors for Liver Disease: A Critical Review of Epidemiological Studies.

Coexistence of alcohol use and metabolic risk-the 2 commonest population risk factors for nonviral chronic liver disease-is a growing concern. Clinical evidence and mechanistic evidence point to considerable supraadditive interaction effects for the development and progression of chronic liver disease between hazardous alcohol use and metabolic abnormalities including obesity, diabetes, and the metabolic syndrome (MetS). Intermittent binge drinking once monthly or more often seems to be associated with progression of liver disease even when average alcohol intake is within the currently allowed limits for a diagnosis of nonalcoholic fatty liver disease (NAFLD), and supraadditive interaction between binge drinking and the MetS has been reported. There are contradictory findings regarding the association between low alcohol use and liver steatosis, but, clearly, the mechanisms of alcoholic hepatotoxicity extend beyond simple fat accumulation. The presence of liver steatosis seems to amplify alcoholic hepatotoxicity. Recent longitudinal studies of NAFLD subjects report low alcohol use associated with both increased fibrosis progression and an elevated risk for liver cancer and severe liver disease. There is no clear safe limit of alcohol intake in the presence of NAFLD or metabolic risk. The interaction effects between alcohol and metabolic dysfunction merit increased attention in public health policy, individual counseling, and risk stratification. Based on current evidence, a strict dichotomization of liver disease into either pure alcoholic or nonalcoholic may be inappropriate.

Neighbourhood context and binge drinking from adolescence into early adulthood in a US national cohort.

BACKGROUND: Underage binge drinking is a serious health concern that is likely influenced by the neighbourhood environment. However, longitudinal evidence has been limited and few studies have examined time-varying neighbourhood factors and demographic subgroup variation. METHODS: We investigated neighbourhood influences and binge drinking in a national cohort of US 10th grade students at four times (2010-2014; n = 2745). We estimated odds ratios (OR) for past 30-day binge drinking associated with neighbourhood disadvantage, personal and property crime (quartiles), and number of liquor, beer and wine stores within 5 km, and then evaluated whether neighbourhood associations differ by age, sex and race/ethnicity. RESULTS: Neighbourhood disadvantage was associated with binge drinking before 18 [OR = 1.54; 95% confidence interval (1.14, 2.08)], but not after 18 years of age. Property crime in neighbourhoods was associated with a higher odds of binge drinking [OR = 1.54 (0.96, 2.45)], an association that was stronger in early adulthood [4th vs 1st quartile: OR = 1.77 (1.04, 3.03)] and among Whites [4th vs 1st quartile: OR = 2.46 (1.03, 5.90)]. Higher density of liquor stores predicted binge drinking among Blacks [1-10 stores vs none: OR = 4.31 (1.50, 12.36)] whereas higher density of beer/wine stores predicted binge drinking among Whites [one vs none for beer: OR = 2.21 (1.06, 4.60); for wine: OR = 2.04 (1.04, 4.03)]. CONCLUSIONS: Neighbourhood conditions, particularly those related to economic circumstances, crime and alcohol outlet density, were related to binge drinking among young adults, but associations varied across age and individual characteristics.