Alcohol Use and Risky Drinking Among Orang Asli in Malaysia: Evidence From the Orang Asli Health Survey 2022.

The objective was to assess the relationship between alcohol use and misuse and patient sex among emergency department (ED) patients by comparing self-reported estimates of quantity and frequency of alcohol use, estimated blood alcohol concentrations (eBACs) when typically drinking and during heavy episodic drinking (binging), and alcohol misuse severity, to understand sex differences in alcohol use and misuse for this population. The authors surveyed a random sample of nonintoxicated, subcritically ill or injured, 18- to 64-year-old English- or Spanish-speaking patients on randomly selected dates and times at two EDs during July 2009 and August 2009. Participants self-administered a questionnaire about their self-reported alcohol use during a typical month within the past 12 months and the Alcohol Use Disorders Identification Test (AUDIT). Using the formulae by Matthews and Miller, sex-specific eBACs were calculated for participants according to their reported weight and the number of reported alcoholic drinks consumed on days when typically drinking and on days of heavy episodic (binge) drinking (five or more drinks/occasion for men, four or more drinks for women). Sex-specific alcohol misuse severity levels (low-risk, harmful, hazardous, and dependence) were calculated using AUDIT scores. Wilcoxon rank-sum and Pearson's chi-square tests were used to compare outcomes by sex. Negative binomial regression was used to assess the relationship between sex and the number of drinks consumed on a typical day, the number of days spent drinking and binging, and estimated AUDIT scores. Logistic regression was used to assess the outcome of the presence of binging according to sex. Multinomial logistic regression was used to compare by sex the percentage of days spent drinking and binging in 1 month, eBACs when typically drinking and when binging, and AUDIT at-risk drinking levels. Incidence rate ratios (IRRs) and adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were estimated. All models were adjusted for patient demographic characteristics. Of the 513 participants, 52.1% were women, 55.8% were white non-Hispanic, and their median age was 34 years (interquartile range [IQR] = 25 to 46 years). Men reported greater mean alcohol consumption than women when typically drinking (4.3 vs. 3.3 drinks/day; p < 0.001) and during heavy episodic drinking (8.6 vs. 5.3 drinks/occasion; p < 0.001). Men spent more days drinking (IRR = 1.41, 95% CI = 1.19 to 1.65) and engaging in heavy episodic drinking (IRR = 1.68, 95% CI = 1.31 to 2.17) than women. Additionally, men were more likely to engage in heavy episodic drinking (AOR = 1.72, 95% CI = 1.16 to 2.56) than women. However, the mean eBACs for men and women were similar when typically drinking (0.05 vs. 0.06; p < 0.13) and during heavy episodic drinking (0.13 vs. 0.12; p < 0.13). Mean AUDIT scores were greater for men than women (7.5 vs. 5.3; p < 0.001), although alcohol misuse severity levels were similar between men and women (24.4% vs. 26.6% for hazardous, 2.8% vs. 2.2% for harmful, and 6.5% vs. 3.4% for dependence; p < 0.38). Although men drink more than women, women have similar eBACs with comparable levels of alcohol misuse. Women may benefit from recognizing that they are reaching similar levels of intoxication compared to men. Addressing these differences and possible health implications in future ED brief interventions may induce changes in problematic alcohol use among women.

EASL Clinical Practice Guidelines: Management of alcohol-related liver disease

Binge drinking among adults, by select characteristics and state — United States, 2018

65: How Does Hazardous and Heavy Episodic Alcohol Drinking Relate to HIV Sexual Risk among Emergency Department Patients?

Brief measures of unhealthy alcohol use have not been well validated among people with HIV. We compared the Alcohol Use Disorders Identification Test (AUDIT) to reference standards for unhealthy alcohol use based on 30-day Timeline Follow Back (TLFB) and Composite International Diagnostic Interview-Substance Abuse Module (CIDI-SAM), among 837 male HIV-infected and -uninfected patients in the Veterans Aging Cohort Study. Three reference standards were (i) Risky drinking-based on TLFB >14 drinks over 7 consecutive days or >4 drinks on 1 day; (ii) Alcohol dependence-based on a CIDI-SAM diagnosis; and (iii) Unhealthy alcohol use-risky drinking or a CIDI-SAM diagnosis of abuse or dependence. Various cutoffs for the AUDIT, AUDIT-C, and heavy episodic drinking were compared with the reference standards. Mean age of patients was 52 years, 53% (444) were HIV-infected, and 53% (444) were African American. Among HIV-infected and -uninfected patients, the prevalence of risky drinking (14 vs. 12%, respectively), alcohol dependence (8 vs. 7%), and unhealthy alcohol use (22 vs. 20%) was similar. For risky drinking and alcohol dependence, multiple cutoffs of AUDIT, AUDIT-C, and heavy episodic drinking provided good sensitivity (≥80%) and specificity (≥90%). For unhealthy alcohol use, few cutoffs provided sensitivity ≥80%; however, many cutoffs provided good specificity. For all 3 alcohol screening measures, sensitivity improved when heavy episodic drinking was included with the cutoff. Sensitivity of measures for risky drinking and unhealthy alcohol use was lower in HIV-infected than in uninfected patients. For identifying risky drinking, alcohol dependence, and unhealthy alcohol use, AUDIT-C performs as well as AUDIT and similarly in HIV-infected and -uninfected patients. Cutoffs should be based on the importance of specific operating characteristics for the intended research or clinical use. Incorporating heavy episodic drinking increased sensitivity for detecting alcohol dependence and unhealthy alcohol use.

Essays on the economics of alcohol and risky behaviours

PurposeThe age of drinking onset is a central concept for both policy and prevention of alcohol-related harm, yet evidence on the predictive value of the age of onset is lacking. This study compares alcohol outcomes of adolescents who started to drink early with those who started later, and tests if associations are moderated by other explanatory factors. MethodsData from a two-wave longitudinal prospective cohort survey with a Swedish nationwide sample of 4,018 adolescents aged 15/16 years at baseline (T1) and 17/18 years at follow-up (T2) were used. Outcome variables at T2 were Alcohol Use Disorders Identification Test (AUDIT)–C, risky drinking, and binge drinking monthly or more often. A vast number of explanatory factors at T1 were controlled for. ResultsEarly drinking onset predicted later higher AUDIT-C scores (β = 0.57, p value < .001), and higher probability of risky drinking (odds ratio = 1.95, 95% confidence interval = 1.56–2.44), and binge drinking (odds ratio = 1.38, confidence interval = 1.06–1.81), controlled for other explanatory factors. If binge drinking frequency at T1 was included, the associations remained for AUDIT-C and risky drinking, but not for binge drinking at T2. No significant interactions between early drinking onset and the explanatory factors were found. DiscussionEarly drinking onset predicts subsequent higher alcohol consumption in late adolescence. Adolescents who had an early drinking onset drank more after 2 years than their peers who started later. The age of drinking onset is an independent predictor of alcohol use outcomes, beyond the effect of age of binge drinking onset.

Alcohol use and risky alcohol use are associated with health, social, and psychological complications and may interfere with HIV/AIDS treatment. This study assessed the prevalence and factors associated with alcohol use and risky alcohol use among adults living with HIV in Dar-es-Salaam, Tanzania. This cross-sectional study included data from 771 adults living with HIV on antiretroviral therapy (ART) who were enrolled in a non-inferiority cluster randomized controlled trial. Alcohol use and risky drinking in the past 12 months were assessed using the Alcohol Use Disorders Identification Test (AUDIT-C) tool. Log-binomial regression models were applied to identify factors associated with alcohol use and risky alcohol use. Overall, 31.4% of participants reported current alcohol use (n = 242). Among these individuals, 45.5% (n = 110) engaged in risky alcohol use (14.2% among all participants). About a quarter (23.2%) were classified as engaging in heavy episodic drinking (HED). In multivariable models, older adults (RR = 0.27; 95%CI: 0.13-0.54) and males (RR = 0.68; 95%CI: 0.46-1.01) had a lower risk of risky alcohol use. Individuals who had disclosed their status to their partners were more likely to report risky alcohol use compared to those who had not disclosed (RR = 1.33; 95%CI:1.00-1.78). These findings indicate that alcohol use is common among adults living with HIV, with half of current drinkers engaging in risky consumption patterns, including HED. Risky alcohol use was more prevalent among younger adults and women. These results underscore the need for targeted interventions addressing risky alcohol use within primary HIV care settings, particularly for young adults and women.

Alcohol and the Etiology of Depression.

Abstinence from alcohol is often considered a critical element of recovery from alcohol use disorder. Yet, low risk drinking may be more desirable for some patients. There is mixed literature on whether low risk drinking is achievable and stable. Low risk drinking outcomes during treatment and outcomes 3 years after treatment were examined using data from the outpatient arm in Project MATCH (n = 877). Drinking outcomes were defined by repeated measures latent class analysis of weekly abstinence, low risk drinking days (<4/5 drinks for women/men), and heavy drinking days (≥4/5 drinks for women/men) during 12 weeks of treatment. Functioning outcome measures included psychosocial functioning, alcohol use, and alcohol-related consequences. Mixture modeling was used to examine the association between drinking classes and functioning outcomes. We identified 7 classes based on drinking during treatment: persistent heavy drinking, abstinence to heavy drinking, abstinence and heavy drinking, heavy drinking to mostly abstinent, low risk and heavy drinking, abstinence and low risk drinking, and abstinence. As compared with heavier drinkers, individuals who achieved mostly abstinence or low risk drinking, even with some heavy drinking episodes during treatment, had significant improvements in alcohol use, alcohol-related consequences, and psychosocial functioning 3 years after treatment. Those who were mostly abstinent or engaged in low risk drinking during treatment did not differ on any outcomes at 3 years after treatment. Findings indicate that low risk drinking is achievable for some individuals during treatment and that improvement in functioning among low risk drinkers can be observed at 3 years after treatment. (PsycINFO Database Record

Mental health states and influencing factors of risky and problem drinking in South Korean female adolescents

Are there gender differences in levels of heavy, binge and problem drinking? Evidence from three generations in the west of Scotland

Binge (heavy episodic) drinking is common, but there is little knowledge on how this drinking pattern could be detected. This study compares three structured questionnaires among binge drinking middle-aged men. All 45-year-old men in the city of Tampere, Finland, were asked to fill in the Alcohol Use Disorders Identification Test (AUDIT). Based on the interview on their drinking the men were divided into non-binging moderate drinkers (n = 352), binging moderate drinkers (n = 130), non-binging heavy drinkers (n = 10) and binging heavy drinkers (n = 63). The complete AUDIT, AUDIT-C (first three AUDIT questions inquiring quantity-frequency) and AUDIT-3 (the third binging-frequency question of AUDIT) in detecting binge drinking were compared. The complete AUDIT was effective in detecting binge drinkers by a cut-off score of >or=8 or >or=7. The optimal cut-off score for AUDIT-C was >or= 6 and that for AUDIT-3 >or=2. The area under the curve (AUC) among all risky drinkers (binging moderate and binging heavy and non-binging heavy drinkers) for AUDIT was 0.824 (95% CI 0.789 - 0.859), for AUDIT-C 0.829 (95% CI 0.795 - 0.864) and for AUDIT-3 0.779 (0.739 - 0.818). The complete AUDIT and its short versions are applicable in populations where binging is the dominant drinking pattern, but the cut-off scores should be tailored to individual cultures.

BackgroundAlcohol consumption, including binge drinking (BD) and heavy episodic drinking (HED), is one of the leading risk factors among Spanish adolescents leading to significant social, health, and economic consequences. Reduction of BD and HED in adolescents can be achieved using Web-based, computer-tailored (CT) interventions, providing highly personalized feedback that is adapted to a person’s individual characteristics and needs. Randomized controlled trials assessing the effects of tailored BD reduction programs among Spanish adolescents are scarce.ObjectiveThe aim of this study was to test the effectiveness of the Web-based, CT intervention Alerta Alcohol, aimed at the prevention of BD in Spanish adolescents. As a secondary outcome, effects on HED, weekly consumption, and any consumption were also assessed. The adherence and process evaluation were assessed.MethodsA cluster randomized controlled trial conducted among 15 Spanish schools was developed. Each school was randomized into either an experimental condition (EC) (N=742) or a control condition (CC) (N=505). Finally, 351 participants for the EC and 261 for the CC were included in the analysis (N=612). Baseline assessment took place in January and February 2017. Demographic variables and alcohol use were assessed at baseline. Follow-up assessment of alcohol use took place 4 months later in May and June 2017. Participants were compared according to their randomization group (EC versus CC). After the baseline assessment, participants in the EC started the intervention, which consisted of short stories about BD, in which CT feedback was based on the I-Change Model for behavior change. Participants in the CC group only received the baseline questionnaire. Effects of the intervention were assessed using a three-level mixed logistic regression analysis for BD, HED, and any consumption, and a three-level mixed linear regression analysis for weekly consumption.ResultsIn total, 1247 adolescents participated in the baseline assessment and 612 participated in the follow-up assessment; the attrition rate was 50.92%. The intervention was effective in reducing HED among adolescents; the odds of HED in the CC was nine times that in the experimental condition (P=.04). No effects were found for BD, weekly consumption, and any consumption. Process evaluations revealed that the adolescents were satisfied with the program (68.8%), would use the program again (52.9%), and would recommend it to someone else (62.8%). Females and non-binge drinkers showed better responses in the process evaluation.ConclusionsOur intervention was effective regarding HED but not regarding BD, weekly consumption, and any consumption. It may be that limiting alcohol consumption to prevent HED was easier in the Spanish context than it was to carry out further steps, such as reducing other patterns of alcohol consumption. Hence, additional actions are needed to accomplish these latter goals, including community approaches and policy actions aimed at denormalizing alcohol consumption among Spanish adolescents.Trial RegistrationClinicalTrials.gov NCT03288896; https://clinicaltrials.gov/ct2/show/NCT03288896International Registered Report Identifier (IRRID)RR2-10.1186/s12889-018-5346-4

Alcohol is a legal substance, and its worldwide consumption reaches all population segments, including different social strata and age groups. In older adults, alcohol consumption represents a growing challenge for health management, as they are more susceptible to the effects of alcohol due to physiological processes. The aim of this study was to estimate the patterns of alcohol consumption and evaluate the risk factors associated with alcohol use in older adults. This cross-sectional study is a part of a cohort entitled “Living conditions, health, frailty and body composition of older adults: a cohort of the Older Adult/Goiânia Project” conducted in Goiânia in the Central-West Region of Brazil from July 2018 to March 2019. To assess the information about e alcohol consumption and patterns we used the Alcohol Use Disorders Identification Test (AUDIT). Participants were part of a second wave of a cohort study 221 older adults were interviewed and included in this study. The dependent variable was alcohol use in lifetime and the consumption patterns were low risk/no alcohol use (0–7), risky alcohol consumption (≥ 8) and binge drinking pattern was defined as drinking five or more alcoholic drinks on one occasion for a man, and four or more alcoholic drinks on one occasion for a woman. Bivariate and multiple logistic regression models and crude and adjusted odds ratios (OR) were calculated with their respective 95% confidence intervals. Of the 221 participants, 14.9% reported alcohol use in the last year. When it comes to the consumption patterns, low alcohol consumption stands out (97.3%), and binge-drinking was observed in 1.8% of the sample. Masculine gender (Adjusted OR: 2.57; 95% Cl: 1.36–4.88), secondary/higher educational level (Adjusted OR: 0.18; 95% CI: 0.05–0.68), and religion protestant/evangelical (Adjusted OR: 0.45; 95% CI: 0.23–0.89) were significantly associated with alcohol use. Alcohol consumption among older adults is a cause of concern, considering that even with a small percentage of risky and binge drinking, the problems in this population are significant due to biological, social, and emotional factors relating to population aging. Also, our results can contribute to the understanding of health behaviors in older adults, according to the heterogeneity of aging. Furthermore, it can also help to improve health actions for this age group development.