Average Daily Alcohol Consumption Research Articles

Effectiveness of genetic feedback on alcohol metabolism to reduce alcohol consumption in young adults: an open-label randomized controlled trial

BackgroundIt is unclear whether brief interventions using the combined classification of alcohol-metabolizing enzymes aldehyde dehydrogenase 2 (ALDH2) and alcohol dehydrogenase 1B (ADH1B) together with behavioral changes in alcohol use can reduce excessive alcohol consumption. This study aimed to examine the effects of a brief intervention based on the screening of ALDH2 and ADH1B gene polymorphisms on alcohol consumption in Japanese young adults.MethodsIn this open-label randomized controlled trial, we enrolled adults aged 20–30 years who had excessive drinking behavior (average amount of alcohol consumed: men, ≥ 4 drinks/per day and women, ≥ 2 drinks/per day; 1 drink = 10 g of pure alcohol equivalent). Participants were randomized into intervention or control group using a simple random number table. The intervention group underwent saliva-based genotyping of alcohol-metabolizing enzymes (ALDH2 and ADH1B), which were classified into five types. A 30-min in-person or online educational counseling was conducted approximately 1 month later based on genotyping test results and their own drinking records. The control group received traditional alcohol education. Average daily alcohol consumption was calculated based on the drinking diary, which was recorded at baseline and at 3 and 6 months of follow-up. The primary endpoint was average daily alcohol consumption, and the secondary endpoints were the alcohol-use disorder identification test for consumption (AUDIT-C) score and behavioral modification stages assessed using a transtheoretical model.ResultsParticipants were allocated to the intervention (n = 100) and control (n = 96) groups using simple randomization. Overall, 28 (29.2%) participants in the control group and 21 (21.0%) in the intervention group did not complete the follow-up. Average alcohol consumption decreased significantly from baseline to 3 and 6 months in the intervention group but not in the control group. The reduction from baseline alcohol consumption values and AUDIT-C score at 3 months were greater in the intervention group than in the control group (p < 0.001). In addition, the behavioral modification stages were significantly changed by the intervention (p < 0.001).ConclusionsGenetic testing for alcohol-metabolizing enzymes and health guidance on type-specific excessive drinking may be useful for reducing sustained average alcohol consumption associated with behavioral modification.Trial registrationR000050379, UMIN000044148, Registered on June 1, 2021.

Sex-difference in the association between social drinking, structural brain aging and cognitive function in older individuals free of cognitive impairment.

We investigated a potential sex difference in the relationship between alcohol consumption, brain age gap and cognitive function in older adults without cognitive impairment from the population-based Mayo Clinic Study of Aging. Self-reported alcohol consumption was collected using the food-frequency questionnaire. A battery of cognitive testing assessed performance in four different domains: attention, memory, language, and visuospatial. Brain magnetic resonance imaging (MRI) was conducted using 3-T scanners (Signa; GE Healthcare). Brain age was estimated using the Brain-Age Regression Analysis and Computational Utility Software (BARACUS). We calculated the brain age gap as the difference between predicted brain age and chronological age. The sample consisted of 269 participants [55% men (n=148) and 45% women (n=121) with a mean age of 79.2 ± 4.6 and 79.5 ± 4.7 years respectively]. Women had significantly better performance compared to men in memory, (1.12 ± 0.87 vs 0.57 ± 0.89, P<0.0001) language (0.66 ± 0.8 vs 0.33 ± 0.72, P=0.0006) and attention (0.79 ± 0.87 vs 0.39 ± 0.83, P=0.0002) z-scores. Men scored higher in visuospatial skills (0.71 ± 0.91 vs 0.44 ± 0.90, P=0.016). Compared to participants who reported zero alcohol drinking (n=121), those who reported alcohol consumption over the year prior to study enrollment (n=148) scored significantly higher in all four cognitive domains [memory: F3,268=5.257, P=0.002, Language: F3,258=12.047, P<0.001, Attention: F3,260=22.036, P<0.001, and Visuospatial: F3,261=9.326, P<0.001] after correcting for age and years of education. In addition, we found a significant positive correlation between alcohol consumption and the brain age gap (P=0.03). Post hoc regression analysis for each sex with language z-score revealed a significant negative correlation between brain age gap and language z-scores in women only (P=0.008). Among older adults who report alcohol drinking, there is a positive association between higher average daily alcohol consumption and accelerated brain aging despite the fact that drinkers had better cognitive performance compared to zero drinkers. In women only, accelerated brain aging is associated with worse performance in language cognitive domain. Older adult women seem to be vulnerable to the negative effects of alcohol on brain structure and on certain cognitive functions.

Association between alcohol consumption and risk of stroke among adults: results from a prospective cohort study in Chongqing, China

BackgroundThe incidence of stroke in China is increasing, along with a clear trend in the prevalence of risk factors. Alcohol consumption is also a risk factor for stroke. Many cohort studies have explored the relationship between alcohol consumption and stroke risk. However, findings have been inconsistent.MethodsWe used cluster sampling to select 13 districts and counties (at the same level) in Chongqing, China. Then, we used stratified random sampling to distribute the number of people in each district and county. 23,308 adults aged 30–79 were recruited between October 2018 and February 2019. Follow-up was conducted through a monitoring system and questionnaires until September 2022. Information on alcohol consumption and other covariates was collected using a standardized questionnaire. Participants were asked to report their weekly frequency of drinking over the past year and weekly intake of various alcoholic beverages in general. The frequency of drinking was divided into three categories: 1–2 d/week, 3–5 d/week, and 6–7 d/week. The average daily alcohol consumption is calculated based on the amount of alcohol contained in different alcoholic beverages. It is classified as nondrinker (0 g/day), light (0 to 12 g/day), moderate (13 to 36 g/day), and high (> 36 g/day). Cox proportional hazard regression models were used to estimate the association between alcohol consumption and stroke risk. Results are shown as multivariate-adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs).ResultsWith an average follow-up of 3.80 years, there were 310 new stroke events. The incidence of total stroke was 368.69 per 100,000 person-years. Overall, after adjusting for covariates, moderate alcohol consumption (average daily alcohol consumption 13–36 g/d) was associated with a lower risk of total stroke (HR: 0.48; 95% CI: 0.25–0.92) compared with nondrinkers. The adjusted HR and 95% CI for total stroke and ischemic stroke for those who drank alcohol 6–7 days per week were 0.60(0.37, 0.96) and 0.53(0.30, 0.94), respectively. The risk of total stroke (HR: 0.39; 95% CI: 0.17–0.89) was reduced in a pattern of drinking 6–7 days per week but with a mean alcohol consumption of less than 36 g/d. There was no significant association between alcohol consumption and hemorrhagic stroke.ConclusionThis study suggests moderate alcohol consumption is associated with a lower risk of total stroke. And healthy drinking patterns should be of more significant concern.

Dose-response relationship between alcohol consumption and workplace absenteeism in Australia.

Workplace absenteeism is a burden in Australia. The estimated productivity losses due to alcohol were around $4.0 billion in 2017, with absenteeism driving 90% of these costs. We aim to determine the dose-response relationship between average daily alcohol consumption and heavy episodic drinking (HED) frequency and workplace absenteeism amongst Australian workers. We used the 2019 National Drug Strategy Household Survey of Australian employed workers aged ≥20 years to 69 years old. Respondents' average daily alcohol consumption was categorised into four: abstainers, light to moderate (1-20 g of alcohol/day), risky (>20-40 g of alcohol/day) and high-risk (>40 g of alcohol/day). HED was classified into four frequency measures (never, less than monthly, monthly, weekly). The outcome variables came from dichotomised measures of: (i) absence due to alcohol consumption; and (ii) broader sickness absence-absence due to illness or injury in the previous 3 months. Risky (adjusted odds ratio 4.74 [95% CI 2.93-7.64]) and high-risk drinking (adjusted odds ratio 6.61 [95% CI 4.10-10.68]) were linked to increased odds of alcohol-related absence. Higher HED frequency was significantly associated with alcohol-related and broader sickness absenteeism. No significant associations exist between regular alcohol consumption and broader sickness absence in fully adjusted models. Findings suggest that only HED is linked to broader sickness absence. However, there is a strong dose-response association between alcohol consumption and alcohol-related absences for both consumption measures amongst Australian workers. Population-level policies that reduce alcohol consumption to moderate level and less frequent HED might address workplace absenteeism.

Sex and Tumor-Site Differences in the Association of Alcohol Intake With the Risk of Early-Onset Colorectal Cancer.

Given the increasing incidence of early-onset colorectal cancer (CRC; diagnosed before age 50 years) worldwide, it is important to identify modifiable risk factors. We investigated whether alcohol consumption in the young population correlated with an increased early-onset CRC risk that differed by tumor location and sex. We investigated the association between average daily alcohol consumption and the risk of early-onset CRC among 5,666,576 individuals age 20-49 years using data from the Korean National Health Insurance Service (2009-2019). Alcohol consumption levels of nondrinker, light (reference), moderate, and heavy drinker were defined as 0, <10, 10 to <30, and ≥30 g/d for men and 0, <10, 10 to <20, and ≥20 g/d for women, respectively. Multivariate Cox proportional hazards models were used to estimate adjusted hazard ratios (aHRs) with 95% CIs. We identified 8,314 incident early-onset CRC cases during the follow-up period. Moderate and heavy drinkers showed an increased risk of early-onset CRC compared with light drinkers (aHR, 1.09 [95% CI, 1.02 to 1.16] and aHR, 1.20 [95% CI, 1.11 to 1.29], respectively). Subgroup analysis by tumor location showed positive dose-response significance for early-onset distal colon and rectal cancers, but not for proximal colon cancer. The dose-response association between drinking frequency and risk of early-onset CRC was significant, with a 7%, 14%, and 27% increased risk for 1-2, 3-4, and ≥5 d/wk compared with nondrinkers, respectively. Excessive alcohol consumption increases the risk of CRC onset before age 50 years. Thus, effective interventions are required to discourage alcohol consumption among young people and to tailor CRC screening approaches for high-risk individuals.

Association between Alcohol Consumption and Health-Related Quality of Life among Hospital and Ambulatory Care Patients with Past Year Depressive Symptoms.

Little is known about how substance use affects health-related quality of life (HRQOL) in depressed individuals. Here, associations between alcohol consumption and HRQOL in hospital and ambulatory care patients with past-year depressive symptoms are analyzed. The sample consisted of 590 participants (26.8% non-drinkers) recruited via consecutive screenings. Individuals with alcohol use disorders were excluded. HRQOL was assessed with the Veterans Rand 12-item health survey (VR-12). Multivariable fractional polynomials (MFP) regression analyses were conducted (1) to test for non-linear associations between average daily consumption and HRQOL and (2) to analyze associations between alcohol consumption and the physical and mental health component summaries of the VR-12 and their subdomains. Alcohol consumption was positively associated with the physical health component summary of the VR-12 (p = 0.001) and its subdomains general health (p = 0.006), physical functioning (p < 0.001), and bodily pain (p = 0.017), but not with the mental health component summary (p = 0.941) or any of its subdomains. Average daily alcohol consumption was not associated with HRQOL. Alcohol consumption was associated with better physical HRQOL. Findings do not justify ascribing alcohol positive effects on HRQOL. Data indicate that non-drinkers may suffer from serious health disorders. The results of this study can inform the development of future alcohol- and depression-related interventions.

Attenuation by habitual alcohol drinking of the associations of obesity with blood pressure and pulse pressure.

Obesity and alcohol drinking are known to be risk factors for hypertension. However, it remains to be determined whether alcohol affects the relationships of obesity with blood pressure and pulse pressure. The participants in this study were 29 171 men who had received annual health checkups. Relationships of BMI with blood pressure and pulse pressure were investigated in four subject groups divided by average daily alcohol consumption (grams of ethanol/day), non-, light (<22), moderate (≥22 and <44) and heavy (≥44) drinkers. BMI was significantly correlated with SBP and DBP levels both in nondrinkers and drinkers. The strength of the correlations was significantly weaker in drinkers than in nondrinkers. Odds ratios for hypertension in subjects with vs. subjects without obesity tended to be lower with an increase in alcohol intake (odds ratios with 95% confidence intervals: 4.09 (3.69-4.52) in nondrinkers; 3.11 (2.62-3.68) in light drinkers; 2.87 (2.61-3.16) in moderate drinkers; 2.81 (2.49-3.18) in heavy drinkers). Pulse pressure was weakly but significantly associated with BMI and obesity, and these associations were significantly weaker in heavy drinkers than in nondrinkers. There were significant odds ratios for hypertension and high pulse pressure of the interaction term between obesity and alcohol drinking. The associations of BMI with blood pressure and pulse pressure and the associations of obesity with hypertension and high pulse pressure were weaker in drinkers than in nondrinkers. Thus, alcohol drinking attenuates the associations of obesity with hypertension and high pulse pressure.

대학생의 신체활동, 흡연, 음주가 우울감에 미치는 영향

Objectives This study aims to identify the effects of physical activity, smoking, and drinking on depression in university students.&#x0D; Methods This study was conducted with a total of 7,564 college students using data from the ‘2019 Community Health Survey’. As for the general characteristics of the subjects, 3,997 men (52.8%) and 3,567 women (62.5%) participated. The most common age was 19-22 years old with 5,405 (71.5%). The average age was 21.48 years (±21.00). The collected data were statistically processed using SPSS Windows 20.0 Program.&#x0D; Results There were significant differences between male and female in the experience of depression, strong exercise, moderate exercise, walking exercise, flexibility exercise, average daily smoking and alcohol consumption (p&lt;.001). As a result of logistic regression analysis, average daily smoking amount (OR=0.96, 95% CI=0.94-0.99) and drinking amount (OR=2.58, 95% CI=1.03-6.45) were significant influencing factors for depressive experiences in male university students. Factors that had a significant effect on depressive experiences in female university students were strong exercise (OR=3.93, 95% CI=1.41-10.98, walking exercise (OR=0.35, 95% CI=0.17-0.71), and average daily smoking amount (OR=0.88, 95% CI=0.82-0.93) was found to be a significant influencing factor on the experience of depression.&#x0D; Conclusions Depression of university students is on the rise due to the decrease in activity levels and restrictions on interpersonal relationships because of COVID-19. It is necessary to motivate university students to relieve depression through desirable health promotion activities, and to devise desirable countermeasures for depression.

Alcohol consumption, heavy episodic drinking and the perpetration of antisocial behaviours in Australia

AimsThis study aims to understand the dose-response relationship of the volume and patterns of alcohol consumption with alcohol-related antisocial behaviours (ASB) in the general population and assess whether these relationships are consistent across various sociodemographic subgroups. MethodsWe used data from 30,275 respondents aged (14−69) from two waves (2013 and 2016) of the National Drug Strategy Household Survey (NDSHS). Average daily alcohol consumption and heavy episodic drinking (HED) frequencies were treated as the main independent variables and self-reported ASB perpetration as the dependent variable. Bivariable and multivariable logistic regression models predicting ASB with interaction terms between alcohol consumption and various sociodemographic variables were estimated. FindingsCompared with low-risk drinking (0.01–20 g of alcohol/day), respondents drinking at risky (20.01–40 g of alcohol/day) and high risk (>40 g of alcohol per day) levels had an increased prevalence of ASB perpetration with adjusted odds ratios of 3.63 (95% CI 2.98–4.42) and 8.07 (6.72–9.71). Increasing frequency of HED was also linked to increased self-report of ASB perpetration in bivariable and multivariable models. In our interaction models, we found higher probabilities of ASB perpetration among younger and unmarried respondents for a given level of drinking. Discussion and conclusionsBoth average daily alcohol consumption and frequency of HED predict the probability of perpetrating alcohol-related ASB. Unsurprisingly, the risk of alcohol-specific ASB increased more quickly with consumption levels for younger and single respondents, suggesting interventions to reduce consumption among younger and unmarried persons will significantly impact ASB.

Alcohol consumption trajectories over the Australian life course.

Background and AimsAlcohol consumption changes markedly over the life course, with important implications for health and social development. Assessment of these patterns often relies on cross‐sectional data, which cannot fully capture how individuals' drinking changes as they age. This study used data from 18 waves of a general population panel survey to measure drinking trajectories over the life course in Australia.Design and SettingLongitudinal survey data from the Household, Income and Labour Dynamics in Australia (HILDA) survey between 2001 and 2018.ParticipantsA total of 20 593 individuals ages 15 or above in two samples assessing quantity‐frequency (n = 20 569, 52.0% female) and risky single occasion drinking (RSOD), respectively, (n = 17 340, 52.5% female), interviewed as part of HILDA.MeasurementsUsual quantity of alcohol consumed per drinking occasion; frequency of drinking occasions per week; average daily consumption, calculated by combining reported usual quantity and frequency; and average reported frequency of RSOD per week.FindingsMultilevel, mixed effects models run with fractional polynomial terms found similar male and female alcohol consumption trajectories for quantity‐frequency and RSOD measures. Usual quantity of alcohol consumed per drinking occasion (5.4 drinks for men, 3.8 for women) and RSOD frequency (0.56 occasions/week for men, 0.38 for women) peaked in young adulthood, whereas frequency of drinking occasions (2.5 occasions/week for men, 1.7 for women) peaked in middle age. Middle‐age drinkers had the highest average daily consumption of alcohol (1.4 drinks/day for 54‐year‐old men, 0.6 drinks for 57‐year‐old women) and engaged in RSOD slightly less than young adults.ConclusionsAlcohol consumption in Australia appears to vary substantially over the life course, with usual quantity per drinking occasion and frequency of risky single occasion drinking peaking during early adulthood and average daily consumption and frequency of consumption peaking in middle age.

Homeopathic potencies of Opium in alcohol dependence: exploratory open-label study

Background: The conventional pharmacological options for the treatment of alcoholism are limited, which led to the search for solutions in alternative or complementary medicine (CAM). Homeopathy is a CAM modality recognized as medical specialty in Brazil. According to the clinical experience of the early homeopaths, Opium was used to treat patients with alcohol dependence. Aim: to perform a preliminary assessment of the effectiveness and tolerability of fifty-millesimal potencies of Opium in the treatment of alcohol-dependent patients. Methods: exploratory, prospective, open-label trial, with pre-treatment measures as control. Confidence intervals were used to estimate the magnitude of the clinical differences. Results: a total of 14 patients were included, from which 12 were evaluated (intention to treat analysis - ITT). There was a significant reduction in the average daily alcohol consumption (-29.37 units of alcohol/day; 95% CI=10.63; 48.11) and in the severity of alcohol dependence, measured by the mean score of the Short Alcohol Dependence Data questionnaire (-10.17; 95% CI= 4.12; 16.22). No serious adverse events were reported. Randomized controlled studies with larger samples are needed.

The Relationship Between Reductions in WHO Risk Drinking Levels During Treatment and Subsequent Healthcare Costs for the ACTIVE Workgroup.

Abstinence has historically been considered the target outcome for alcohol use disorder (AUD) treatment, yet recent work has found drinking reductions after AUD treatment, as measured by World Health Organization (WHO) risk drinking levels, are associated with meaningful improvements in functioning, physical health, and quality of life. This study extends previous analyses of AUD treatment outcomes by estimating the association between changes in WHO risk drinking levels (very high, high, medium, and low, based on average daily alcohol consumption) and healthcare costs. Secondary data analysis of the COMBINE study, a multisite randomized clinical trial of acamprosate, naltrexone and behavioral interventions for AUD. Generalized gamma regression models were used to estimate relationships between WHOrisk drinking level reductions over the course of treatment and healthcare costs in the year after treatment (N = 964) and up to 3 years following treatment (N = 651). SustainedWHOrisk drinking reductions of 2 or more levels throughout treatment were associated with 52.0% lower healthcare costs ( P < 0.001) in the year following treatment, and 44.0% lower costs ( P < 0.0025) over 3 years. A reduction of exactly 1 level was associated with 34.8% lower costs over 3 years, which was not significant ( P = 0.05). Cost reductions were driven by lower inpatient behavioral health and emergency department utilization. Reduction in WHO risk drinking levels of at least 2 levels was associated with lower healthcare costs over 1 and 3 years. Our results add to literature showing drinking reductions are associated with improvement in health.

Alcohol consumption, poor lifestyle choices, and air pollution worsen cognitive function in seniors: a cohort study in China.

Based on the complexity of cognitive-related influences and the specificity of Chinese liquor culture, this study aimed to explore the associations and potential interactions between demographic characteristics, alcohol consumption, life and atmospheric environment, and cognitive function in seniors through a comprehensive analysis, in order to provide evidence support and feasible recommendations. The study sample was selected from the Chinese Longitudinal Healthy Longevity Survey, which included 40,583 seniors aged 65-115years. Data analysis and processing were performed by R 4.0.4. The relationship between the factors and cognition was modeled and analyzed by generalized additive model, and the interaction was explored by combining the ANOVA. The generalized additive model confirmed that alcohol consumption was detrimental to the cognitive status of older adults, especially for liquor (≥ 38°) and beer. The higher the average daily alcohol consumption, the greater the impairment. SO2 and PM2.5 showed the same negative effects. In contrast, life environment factors such as good education, balanced diet, and positive activity participation had a positive effect on cognition in seniors. In addition, interactions between alcohol consumption and average daily alcohol consumption, frequency of vegetable and meat intake, and between open-air activities, and air pollution were also confirmed. Poor lifestyle choices such as alcohol consumption, unbalanced diet, lower activity participation, and air pollution deteriorate cognitive function in seniors. It is recommended that the elderly population should avoid alcohol consumption, maintain a balanced diet, and be physically active. Attention should also be paid to the effects of air quality.

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

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

Determining the sex-specific distributions of average daily alcohol consumption using cluster analysis: is there a separate distribution for people with alcohol dependence?

BackgroundIt remains unclear whether alcohol use disorders (AUDs) can be characterized by specific levels of average daily alcohol consumption. The aim of the current study was to model the distributions of average daily alcohol consumption among those who consume alcohol and those with alcohol dependence, the most severe AUD, using various clustering techniques.MethodsData from Wave 1 and Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions were used in the current analyses. Clustering algorithms were applied in order to group a set of data points that represent the average daily amount of alcohol consumed. Gaussian Mixture Models (GMMs) were then used to estimate the likelihood of a data point belonging to one of the mixture distributions. Individuals were assigned to the clusters which had the highest posterior probabilities from the GMMs, and their treatment utilization rate was examined for each of the clusters.ResultsModeling alcohol consumption via clustering techniques was feasible. The clusters identified did not point to alcohol dependence as a separate cluster characterized by a higher level of alcohol consumption. Among both females and males with alcohol dependence, daily alcohol consumption was relatively low.ConclusionsOverall, we found little evidence for clusters of people with the same drinking distribution, which could be characterized as clinically relevant for people with alcohol use disorders as currently defined.

Association of Plasma Pro-Brain-Derived Neurotrophic Factor (proBDNF)/Mature Brain-Derived Neurotrophic Factor (mBDNF) Levels with BDNF Gene Val66Met Polymorphism in Alcohol Dependence.

BackgroundIn a previous study, we reported that pro-brain-derived neurotrophic factor (proBDNF) was involved in the pathology of alcohol dependence, and the single-nucleotide polymorphism (SNP) Val66Met was located at the prodomain of the brain-derived neurotrophic factor gene (BDNF). This polymorphism has been reported to affect intracellular trafficking and activity-dependent secretion of BDNF. Our present research investigated the relationships between the BDNF Val66Met polymorphism and the plasma levels of proBDNF and mature brain-derived neurotrophic factor (mBDNF) in patients with alcohol dependence.Material/MethodsThe BDNF gene Val66Met polymorphism was genotyped in 59 alcohol-dependent patients and 37 age- and sex-matched controls, and the plasma levels of proBDNF and mBDNF were assessed by enzyme-linked immunosorbent assay in all participants.ResultsNo association was found between the BDNF gene Val66Met polymorphism and alcohol dependence (P>0.05). In comparison with the control group, the level of plasma proBDNF in the alcohol-dependence group was notably increased (Z=−2.228, P=0.026), while the level of mBDNF was remarkedly decreased (Z=−2.014, P=0.044). In the alcohol-dependence group, significant associations were not found between the Val66Met polymorphisms and proBDNF and mBDNF plasma levels (P>0.05). The plasma level of proBDNF was positively correlated with the average daily alcohol consumption in the last month (r=0.344, P=0.008) and drinking history (r=0.317, P=0.014), while the plasma level of mBDNF had negative effects (r=−0.361, P=0.005, with the average daily alcohol consumption; r=−0.427, P=0.001, with drinking history).ConclusionsThe BDNF gene Val66Met polymorphism does not appear to affect the secretion of proBDNF and mBDNF in Chinese patients with alcohol dependence. Furthermore, this study reconfirmed that the plasma levels of proBDNF and mBDNF were correlated with the average daily alcohol consumption in the last month and with drinking history.

Engagement With a Web-Based Intervention to Reduce Harmful Drinking: Secondary Analysis of a Randomized Controlled Trial.

BackgroundEngagement with digital behavior change interventions (DBCIs) is considered a prerequisite for intervention efficacy. However, in many trials on DBCIs, participants use the intervention either only little or not at all.ObjectiveTo analyze engagement with a web-based intervention to reduce harmful drinking, we explored (1) whether engagement with a web-based alcohol intervention is related to drinking outcomes, (2) which user characteristics are associated with measures of engagement, and (3) whether reported outcomes are associated with data captured by voluntary intervention questionnaires.MethodsWe analyzed data of the intervention arm of a randomized controlled trial on a DBCI to reduce risky alcohol consumption. Data were collected at baseline (T0), after 90 days (T1), and at the end of the 180-day usage period (T2). Engagement with the intervention was measured via system usage data as well as self-reported usage. Drinking behavior was measured as average daily alcohol consumption as well as the number of binge drinking days. User characteristics included demographics, baseline drinking behavior, readiness to change, alcohol-related outcome expectancies, and alcohol abstinence self-efficacy. Following a bivariate approach, we performed two-tailed Welch’s t tests and Wilcoxon signed rank/Mann-Whitney U tests or calculated correlation coefficients.ResultsThe data of 306 users were analyzed. Time spent engaging with the intervention as measured by system usage did not match self-reported usage. Higher self-reported usage was associated with higher reductions in average daily alcohol consumption (T1: ρ=0.39, P<.001; T2: ρ=0.29, P=.015) and in binge drinking days (T1: ρ=0.62, P<.001; T2: ρ=0.3, P=.006). Higher usage was reported from users who were single (T1: P<.001; T2: P<.001), users without children (T1: P<.001; T2: P<.001), users who did not start or finish secondary education (T1: P<.001; T2: P<.001), users without academic education (T1: P<.001; T2: P<.001), and those who worked (T1: P=.001; T2: P=.004). Relationships between self-reported usage and clinical or psychological baseline characteristics were complex. For system usage, the findings were mixed. Reductions in drinking captured by intervention questionnaires were associated with reported outcomes.ConclusionsThough self-reported usage could be consistently linked to better outcomes and multiple user characteristics, our findings add to the overall inconclusive evidence that can be found throughout the literature. Our findings indicate potential benefits of self-reports as measures of engagement and intervention questionnaires as a basis for tailoring of intervention content. Future studies should adopt a theory-driven approach to engagement research utilizing psychometrically sound self-report questionnaires and include short ecological momentary assessments within the DBCIs.Trial RegistrationGerman Clinical Trials Register DRKS00006104; https://tinyurl.com/y22oc5jo

Distribution of Drinks Consumed by U.S. Adults by Average Daily Alcohol Consumption: A Comparison of 2 Nationwide Surveys

Estimates of alcohol consumption in the Behavioral Risk Factor Surveillance System are generally lower than those in other surveys of U.S. adults. This study compares the estimates of adults' drinking patterns and the distribution of drinks consumed by average daily alcohol consumption from 2 nationwide telephone surveys. The 2014-2015 National Alcohol Survey (n=7,067) and the 2015 Behavioral Risk Factor Surveillance System (n=408,069) were used to assess alcohol consumption among adults (≥18 years), analyzed in 2019. The weighted prevalence of binge-level drinking and the distribution of drinks consumed by average daily alcohol consumption (low, medium, high) were assessed for the previous 12 months using the National Alcohol Survey and the previous 30 days using the Behavioral Risk Factor Surveillance System, stratified by respondents' characteristics. The prevalence of binge-level drinking in a day was 26.1% for the National Alcohol Survey; the binge drinking prevalence was 17.4% for the Behavioral Risk Factor Surveillance System. The prevalence of high average daily alcohol consumption among current drinkers was 8.2% for the National Alcohol Survey, accounting for 51.0% of total drinks consumed, and 3.3% for the Behavioral Risk Factor Surveillance System, accounting for 27.7% of total drinks consumed. National Alcohol Survey yearly prevalence estimates of binge-level drinking in a day and high average daily consumption were consistently greater than Behavioral Risk Factor Surveillance System monthly binge drinking and high average daily consumption prevalence estimates. When planning and evaluating prevention strategies, the impact of different survey designs and methods on estimates of excessive drinking and related harms is important to consider.

Implications of Tobacco Smoking and Alcohol Consumption on Ectopic Fat Deposition in Individuals After Pancreatitis.

Tobacco smoking and alcohol consumption are established risk factors for pancreatitis. This study investigated the associations between tobacco smoking/alcohol consumption in people after an attack of pancreatitis and intrapancreatic fat deposition (IPFD), intrahepatic fat deposition (IHFD), and skeletal muscle (SMFD) fat deposition. In this cross-sectional study, magnetic resonance imaging was used to quantify IPFD, IHFD, and SMFD by 2 independent raters. A validated questionnaire was used to determine tobacco smoking and alcohol consumption. A total of 119 individuals after an attack of pancreatitis were included. Average tobacco smoking contributed most to variance in IPFD (R = 6.5%) and least to variance in SMFD (R = 0.4%). Average alcohol consumption contributed most to variance in variance in IPFD (R = 2.8%) and least to IHFD (R = 1.1%). Packs/day contributed more than years of smoking to variance in IPFD (R = 4.9 and 0.2%, correspondingly), whereas years of drinking contributed more than average daily alcohol consumption (R = 3.9 and 3.2%, correspondingly). Tobacco smoking and alcohol consumption contributed more to variance in IPFD than IHFD and SMFD. Smoking contributed more than drinking to variance in IPFD. The daily amount of tobacco smoked appeared to be more important than years of smoking for IPFD.

Examining Cultural Identification and Alcohol Use Among American Indian and Caucasian College Students.

Previous research consistently concludes American Indians (AI) demonstrate higher levels of alcohol use than Caucasians (CA); however, recent research suggests AIs may be drinking at similar or lower rates than CAs. Little research has examined cultural identification as a contributing factor to alcohol use. This study sought to examine cultural identification and its relationship to alcohol use between AI and CA college students. Participants consisted of 56 AI and 87 CA college students who selfreported on past 6-month alcohol consumption and how they culturally identified per the Orthogonal Theory of Biculturalism. CAs reported a significantly higher average daily alcohol consumption than AIs who identified as Marginal, Traditional, and Assimilated. This research represents a compelling anecdotal and empirical socio-cultural paradigm shift from the "AIs drink more" mindset among college students. Further, understanding the relationship between cultural identification and alcohol use enhances assessment, diagnostic, and intervention efforts for both AIs and CAs.