Showing posts with label Alcohol. Show all posts
Showing posts with label Alcohol. Show all posts

Sunday, September 6, 2015

Intoxicated Prejudice: The Impact of Alcohol Consumption on Implicitly & Explicitly Measured Racial Attitudes

Below:  Scatter plot of participants' IAT D-scores and explicit attitudes with separate fit lines for each beverage group; higher scores indicate greater negativity towards African Americans



Recent research has shown that alcohol consumption can exacerbate expressions of racial bias by increasing reliance on stereotypes. However, little work has investigated how alcohol affects intergroup evaluations. The current work sought to address the issue in the context of the correspondence between implicit and explicit measures of anti-black attitudes. Participants were randomly assigned to consume an alcoholic (target BAC of 0.08%), placebo, or control beverage prior to completing implicit and explicit measures of racial attitudes. Although beverage condition did not affect prejudice levels on either measure, it did change the correlation between them. Implicitly measured attitudes significantly predicted explicit reports of prejudice and discrimination only for participants who consumed alcohol. We discuss the implications of our findings for debates regarding dissociations between implicit and explicit measures and the cultural phenomenon of intoxicated individuals attributing prejudiced statements to alcohol consumption rather than personal attitudes.

Read more at: http://ht.ly/RRhZf HT https://twitter.com/cuboulder

More at:  http://twitter.com/Prison_Health

Friday, August 7, 2015

Alcohol-Impaired Driving Among Adults — United States, 2012

Below:  Annual rate of self-reported alcohol-impaired driving episodes per 1,000 population, among adults — Behavioral Risk Factor Surveillance System, United States, 2012



Read more at:   http://ht.ly/QCc9x MT @CDCMMWR 

Thursday, August 6, 2015

Identifying Binge Drinkers Based on Parenting Dimensions and Alcohol-Specific Parenting Practices: Building Classifiers on Adolescent-Parent Paired Data

Below:  The training set is composed of individuals with a known target behaviour (binge drinker or not) and with known variables (e.g., rules and communication). In one approach to build a classifier (on the left), the computer automatically and repeatedly devides the training (on the right). This specific approach produces a decision tree, where a path from the root to a target behaviour corresponds to successive cuts in the training set



Depending on the parenting dimension or practice, parents’ reports correctly identified the drinking behaviour of 55.8 % (using psychological control) up to 70.2 % (using rules) of adolescents. Adolescents’ perceptions were best at identifying binge drinkers whereas parents’ perceptions were best at identifying non-binge drinkers.

Of the parenting dimensions and practices, rules are particularly informative in understanding drinking behaviour. Adolescents’ perceptions and parents’ reports are complementary as they can help identifying binge drinkers and non-binge drinkers respectively, indicating that surveying specific aspects of adolescent-parent dynamics can improve our understanding of complex addictive behaviours.

Read at:   http://ht.ly/Qz5UP HT @MaastrichtU

Prevalence of Hospitalized Live Births Affected by Alcohol and Drugs and Parturient Women Diagnosed with Substance Abuse at Liveborn Delivery: United States, 1999–2008

Below:  Prevalence (per 10,000) on a natural log scale and Loess trend curves with 95% confidence interval for (A) live births affected by alcohol and drugs and neonatal drug withdrawal syndrome, and (B) maternal substance abuse at liveborn delivery: United States, 1999–2008.


From 1999 to 2008, prevalence increased for narcotic- and hallucinogen-affected live births and neonatal drug withdrawal syndrome but decreased for alcohol- and cocaine-affected live births. Maternal substance abuse at delivery showed similar trends, but prevalence of alcohol abuse remained relatively stable. Substance-affected live births required longer hospital stays and higher medical expenses, mostly billable to Medicaid.

The findings highlight the urgent need for behavioral intervention and early treatment for substance-abusing pregnant women to reduce the number of substance-affected live births.

Read at:   http://ht.ly/Qz46f  HT @CSRIncorporated

Monday, August 3, 2015

Adolescent Substance Use: The Role of Demographic Marginalization and Socioemotional Distress

Below:  Conceptual model of relationships among race/ethnic marginalization, socioemotional distress, and substance use with student gender, race/ethnicity, and schoolwide race/ethnic diversity as moderators.



We investigated the links between race/ethnic marginalization (i.e., having few same-race/ethnic peers at school) and adolescents’ socioemotional distress and subsequent substance use (alcohol and marijuana) initiation and use. Data from 7,731 adolescents (52% females; 55% White, 21% African American, 16% Latino, 8% Asian American) were drawn from the National Longitudinal Study of Adolescent to Adult Health (Add Health). In our path analysis model, we found that adolescents who were racial/ethnically marginalized at school (i.e., who had less than 15% same-ethnic peers) reported poorer school attachment, which was linked to greater depressive symptoms. More depressive symptoms were associated with higher levels of subsequent marijuana and alcohol use. These relationships showed some variation by students’ gender, race/ethnicity, and age. Findings suggest that the influence of school demographics extends beyond the academic domain into the health and well-being of young people.

Via:   http://ht.ly/QrTez   HT @UTAustin

Saturday, August 1, 2015

Patterns of Alcohol Consumption and Related Behaviors in Brazil: Evidence from the 2013 National Health Survey (PNS 2013)

Below:  State-level prevalence rates of selected drinking behaviors among adults aged 18 and above, Brazil 2013.
Data source: PNS 2013, public use Arc-GIS shape files; authors’ calculations. Results include sample weights and control for survey design. Current drinkers defined as reporting having at least 1 drink in the past 30 days. Rates for drinking and driving are among current drinkers who also drive a car or motorcycle. Binge drinking defined as at least 5 (for men) or 4 (for women) drinks in one occasion among current drinkers. Frequent binge drinking defined as 4 or more episodes in the past 30 days, among binge drinkers.


Below:  Probability of drinking and driving by report of binge drinking, sex, and age.
Data source: PNS 2013, authors’ calculations. Results are predicted probabilities of self-reported drinking and driving, controlling for age, sex, educational attainment, rural and capital city residence, skin color, martial status, drinking before age 18, binge drinking, and interactions between age, sex, and binge drinking.


This study uses data from a nationally representative household survey (the 2013 National Health Survey, n = 62,986) to describe patterns of alcohol consumption and related behaviors among Brazilian adults. Analyses include descriptive and multivariable Poisson regression for self-reports in the past 30 days of: drinking any alcohol, binge drinking, binge drinking 4 or more times, and driving after drinking (DD); as well as age of alcohol consumption initiation. Results show that current drinking prevalence was 26%, with an average age of initiation of 18.7 years. Binge drinking was reported by 51% of drinkers, 43% of whom reported binge drinking 4 or more times. Drinking and driving was reported by nearly one quarter of those who drive a car/motorcycle. Current drinking was more likely among males, ages 25–34, single, urban, and those with more education. Binge drinking was more likely among males, older age groups, and people who started drinking before 18. Drinking and driving was higher among males, those with more education, and rural residents. Those who binge-drink were nearly 70% more likely to report DD. All behaviors varied significantly among Brazilian states. Given their potential health consequences, the levels of injurious alcohol behaviors observed here warrant increased attention from Brazilian policymakers and civil society.

Via:  http://goo.gl/z3hH0Y HT @UCLAFSPH

Wednesday, July 29, 2015

Alcohol Dependence and Treatment Utilization in Europe

Below:  Prevalence of alcohol dependence diagnoses by GP or CIDI, stratified by age categories. Figure displaying age effect on alcohol dependence categories. Legend: (Blue bars) Diagnosis by GP, (Red bars) Diagnosis by CIDI, (Dashed line) Regression line GP diagnosis, (Continuous line) Regression line CIDI diagnosis


Alcohol dependence (AD) was prevalent among patients in European primary health care settings (8.7 %, 95 % confidence interval (CI): 8.1-9.3 %). Treatment rates were low (22.3 % of all AD cases, 95 % CI: 19.4-25.2 %). For both prevalence and treatment utilization, considerable country variations were observed. AD was associated with a number of socio-economic disadvantages (e.g. higher unemployment rate) and higher physical (e.g., liver disease, hypertension) and mental comorbidities (e.g., depression, anxiety). Liver problems, mental distress and daily amount of alcohol used were higher among treated versus untreated male patients with AD.

A minority of people identified as having AD received treatment, showing heavier drinking patterns and a higher level of co-morbidity. Different types of treatment, depending on severity of AD, should be considered.

Via:   http://ht.ly/Qgng7  HT @CAMHnews 

Tracking the When, Where, and With Whom of Alcohol Use: Integrating Ecological Momentary Assessment and Geospatial Data to Examine Risk for Alcohol-Related Problems

Below:  Social–ecological framework of drinking contexts and alcohol-related problems.
NOTES: 1 The characteristics listed in each box are provided as an example. They are not an exhaustive list of variables one might include in social–ecological models.
2 Macro- (e.g., alcohol outlet density) and micro-level drinking contexts (e.g., drinking location) are included in the model above, but we focus primarily on micro-level drinking contexts here.




Prevention researchers have found that drinking in different contexts is related to different alcohol problems. Where and with whom people drink affects the types of alcohol-related problems they experience. Consequently, identifying those contexts that result in the greatest number of problems provides a novel opportunity to target new prevention efforts aimed at those contexts. However, identifying these contexts poses methodological challenges to prevention research. To overcome these challenges, researchers need tools that allow them to gather detailed information about when and where people choose to drink and how contextual factors influence drinking risks. New data collection and analysis techniques, such as activity-space analysis, which examines movement through different contexts, and ecological momentary assessment, which captures microlevel contextual changes as individuals move through their days, can advance the field of alcohol studies by providing detailed information on the use of drinking contexts, particularly when combined. Data acquired through these methods allow researchers to better identify those contexts where and conditions under which drinking and problems related to drinking occur. Use of these methods will allow prevention practitioners to target prevention efforts to those contexts that place most drinkers at risk and tailor prevention efforts to each context for specific outcomes.

Via:   ht.ly/PfPwW HT @UCLALuskin