Rescuing the Overpouring Effect: The impact of Perceived Drinking Situation in a Simulated Alcohol Free Pour Task Meredith Watson, Brianne Ackley, Lucas.

Slides:



Advertisements
Similar presentations
Stereotype threat is defined as the experience of anxiety when faced with a confirmable stereotype (Steele & Aronson, 1995). Often anxiety obstructs cognitive.
Advertisements

Negative Urgency, Distress Tolerance and Problematic Alcohol Use Abstract Purpose: This study aimed to explore the relations among Negative Urgency, Distress.
Jared A. Rowland, M.S., Michael M. Knepp, M.S., Sheri L. Towe, M.S., Chris S. Immel, M.S., Ryoichi J.P. Noguchi, M.S., Chad L. Stephens, M.S. & David W.
Wendy Wolfe, Forrest Files, & Shrinidhi Subramaniam Abstract Method This study assessed self-reported alcohol use by college students during a variety.
The role of self-handicapping in social networks Bridgett J. Milner Edward R. Hirt Thanks to: Kristin Hendrix & Erin Steury.
POSTER TEMPLATE BY: om Sex Differences in Associations between Fear of Negative Evaluation (FNE) and Substance Use Lesley A.
Using Empirical Article Analyses to Assess Students Learning of Psychology Research Methods Sarah Richardson, Michael Schiel, Kaetlyn Graham, & Allen Keniston.
Participants: Participants consisted of 26 (n = 26), healthy, college participants (5 males and 21 females) aged years. See Table 1. Protocol:
Introduction Smoking and Social Networks Joseph R. Pruis, Student Research Collaborator, Rosemary A. Jadack, PhD, RN, Professor Department Of Nursing,
Instrument One instructional (INS) slide and three masking (MSK) slides provided directions for 4 test slides that each contained 3 lists of 3 color words.
 Are false memories more likely to develop when people are motivated to believe in the false event?  Sharman and Calacouris (2010)
Investigating the Step Size in a Progressive-Ratio Schedule of Reinforcement for Young Children Diagnosed with Autism Kathryn R. Glodowski, Chelsea B.
THE EFFECTS OF ALCOHOL ON AUTOMATIC AND CONTROLLED PROCESSING IN MISPERCEIVING A WEAPON J. Scott Saults, Bruce D. Bartholow, & Sarah A. Lust University.
The effects of Peer Pressure, Living Standards and Gender on Underage Drinking Psychologist- Kanari zukoshi.
The Effects of Color on Flavor Ratings Stephanie Mattson Denise White
Parental, Temperament, & Peer Influences on Disordered Eating Symptoms Kaija M. Muhich, Alyssa Collura, Jessica Hick and Jennifer J. Muehlenkamp Psychology.
Crystal Reinhart, PhD & Beth Welbes, MSPH Center for Prevention Research and Development, University of Illinois at Urbana-Champaign Social Norms Theory.
Sex Differences in Attitudes and Experiences with Alcohol Rachel Fischer, Carissa Gutsmiedl, Kelsey Rolefson, and Sara BaDour Faculty Mentor: Dr. David.
All in the mind? The effect of beliefs about alcohol on alcohol binges Mr Graeme Knibb.
Do Students’ Beliefs and Behaviors Differ Across Classes? Data Analytic Strategy: run paired-sample t tests to compare students’ reported academic beliefs.
T Relationships do matter: Understanding how nurse-physician relationships can impact patient care outcomes Sandra L. Siedlecki PhD RN CNS.
Introduction Method  Department of Communication and Journalism  Dr. Jennifer Becker  University of Wisconsin-Eau Claire Prior research has looked at.
Norming Study Mechanisms of Emotion Regulation: The Role of Attentional Control Lindsey R. Wallace, M. A. & Elisabeth J. Ploran, Ph.D. Department of Psychology,
Wendy L. Wolfe, Kaitlyn Patterson, & Hannah Towhey
Kaitlyn Patterson & Wendy Wolfe
Better to Give or to Receive?: The Role of Dispositional Gratitude
Robert Lipton, Ph.D., MPH and Nina Joyce, MPH
Applying the Theory of Planned Behavior to Predict Intention to
Priming of Landmarks During Object-Location Tasks:
The Relationship Between Instagram Photo Editing and Undergraduate College Women’s Body Dissatisfaction Madeline Wick, Cindy Miller-Perrin, & Jennifer.
Ashley Loser, Mathew Monaco, Brianna Novio, & Amanda Tyrrell
 “Textisms”: The Comfort of the Recipient
Difference in Mls poured between the subject and the researcher
Sexual Imagery & Thinking About Sex
Logan L. Watts, Ph.D. Baruch College, CUNY
The Potential Mediating Role of Emotion Dysregulation
Predictors of Parenting Self-Efficacy in Parents Attending College
The Relationship Between Emphasis of Cell-phone Use on Performance and Anxiety: Classroom Implications Jordan Booth, Leah Cotton, Jeni Dillman, Kealey.
College Women’s Perpetration of Adulthood Animal Abuse
Introduction Method Results Conclusions
About the complex relationships between age of first intercourse, current sexual behavior and suicidal ideation and drinking behaviors. Cole D. France.
Wendy Wolfe, Forrest Files, & Shrinidhi Subramaniam
Religious, Cognitive, & Personality Predictors of Intelligence
Water for Learning Workshop
Implications and Future Studies
Parental Status and Emergency Preparedness:
SAMPLING OF PARTICIPANTS
Between-Subjects, within-subjects, and factorial Experimental Designs
A Preliminary Study of Music Experience, Creativity and Personality
DESCRIPTIVES AND CORRELATIONS
Participants & Procedure
The influence of groups and alcohol on risk-taking behaviour
Friendship Quality as a Moderator
Which of these is “a boy”?
Evidence for gender bias in interpreting online professor ratings
My, But We are Impressive
Participants and Procedures
Perceived versus Actual Knowledge of Autism Spectrum Disorder
اپيدميولوژي مصرف الكل در ايران و جهان
Facets of Impulsivity as Unique Predictors of Substance Use and Abuse
Fingernail and Hair Ethyl Glucuronide as a Long-Term Alcohol Biomarker
Charles N. Elliott, Paul A. Story
Volume 92, Issue 5, Pages (December 2016)
Rate of Consumption and Number of Bites Versus Dining Environment
Social Practical Charlie.
Testing the Effectiveness of a School-Based Inoculation Procedure on Automatic Substance-Use Cognitions   Grant E. Regier, B.Sc Hons, Marvin D. Krank,
Prosocial Behaviors in Adolescence
Volume 92, Issue 5, Pages (December 2016)
Professional Networking: Involvement and Identity
Presentation transcript:

Rescuing the Overpouring Effect: The impact of Perceived Drinking Situation in a Simulated Alcohol Free Pour Task Meredith Watson, Brianne Ackley, Lucas Duce, Amelia Schneider, Jack Fishcher and Erin Brock Department of Psychology, University of Wisconsin- Eau Claire matthedb@uwec.edu Introduction Results Table 2 College students’ alcohol consumption is excessive creating a potential public health concern. Research has shown that college students will over pour a standard drink when participating in a simulated alcohol free pour task, creating the Overpour Effect (White et al., 2001; Zandy et al., 2013). Interesting, and contrary to the Overpour Effect, we reported initial data showing that subjects’ will pour less fluid in a simulated alcohol pouring task if they are asked to pour in the presence of an unfamiliar peer (Zandy et al., 2013). However, it is unknown how reliable the reduced pouring effect is when an unfamiliar peer is engaged. In addition, it is unknown if the reduced pouring can be reinstated, i.e., rescued. This study investigates factors that can reduce the Overpour effect and if the Overpour effect can be rescued. Table 2 shows the relationship between impulsivity, AUDIT score, days drinking in the last two weeks and the number of binge episodes in the last two weeks for both Study 1 and Study 2 combined. AUDIT score significantly positively correlated with impulsivity as measured by the Barlett Impulsivity Score, the number of days drinking in the last two weeks and the number of binge drinking episodes in the last two weeks. We next investigated how pouring for an unfamiliar peer impacted pouring behavior. We found that when subjects poured for themselves and an unfamiliar peer, the amount poured was LESS than a standard drink and subjects poured significantly less for themselves than the researcher (main effect of subject, p < 0.05 ;), cup size impacted amount poured (main effect of cup size, p < 0.05 ). See Figure 1. However, if subjects were cognitively transported to a more familiar drinking environment, that is an off campus party, the Overpour effect was rescued. Specifically, subjects over poured fluid for themselves and the experimenter, the amount poured is still less for themselves than for the researcher (main effect of subject, p < 0.001) and cup size impacted the amount poured (main effect of cup size, p< 0.001). See Figure 2. AUDIT Barlett Days Drink Days Binge 1 0.159* 0.679** 0.118 0.705** 0.11 0.69** TABLE 1: Correlation matrix demonstrating a significant relationship between AUDIT score and impulsivity and alcohol consumption in terms of both days drinking and binge drinking episodes. * p < 0.05, ** p < 0.01. Figure 1 Standard Drink Amount Poured (mLs) Subject 958(21) mL Researcher 988(23) mL Method * Participants: 217 UW-Eau Claire students recruited through the Sona-system participated in the two studies (n = 105 for study 1 and n = 112 for study 2). Subjects received class extra credit for participation. See Table 1 for basic demographic data. Design & Procedure: Participants completed three different aspects to the study: a survey, an alcohol timeline calendar, and an alcohol free pouring task. The survey consisted of basic demographic information, an impulsivity scale (The Barlett Impulsivity Test), and the 10 question Alcohol Use Disorders Identification Test (AUDIT). Participants’ alcohol timeline calendar requested participants to reflect on the number of alcoholic drinks they consumed during the previous two weeks. In study 1, following completion of these surveys, participants free pour task consisted of water dyed yellow to resemble beer contained in standard beer pictures into three different size clear glass mugs (16oz, 22oz, and 34oz). To complete the task students were asked to pour one standard beer into both the mug for themselves and another for the experimenter. The order of the mug size was counterbalanced across days to prevent carry over effects. The amount students poured was not measured until subjects left the room. Participants were given debrief forms following the experiment with no further alcohol education given. In study 2, the same procedure was followed except subjects were instructed to pour the amount of beer they would have at an off campus party. Cup Size Figure 1: Amount of fluid poured in the free pouring task by the subject for themselves and the experimenter. Both the size of the cup and who the subject was pouring for significantly altered the amount poured. The standard drink line is the amount of fluid in a 12 oz beer. Error bars denote SEM and * p < 0.05. Figure 2 Standard Drink Amount Poured (mLs) Discussion Subject 1146(27) mL Researcher 1205(28) mL * Previous research has shown that college students often participate in what is known as the Overpour Effect. However, previous research also demonstrates that students pour less fluid in the presence of an unfamiliar peer. We first replicated this effect and then demonstrated we could rescue the Overpour Effect with a simple cognitive manipulation. Asking subjects to imagine they are at an off campus party led to a large Overpour Effect highlighting the potential dangers of student alcohol use. In addition, the current work calls into question the validity of two week follow back surveys. Specifically, undergraduates may respond with a “laboratory” answer instead of a “college party” answer, a situation where they frequently consume alcohol Finally, very preliminary data suggest, at least for females, that internet pornography use and the amount of fluid poured may be related. It is tantalizing to speculate that internet pornography and alcohol use are impacted by a similar underlying factor. Future research is needed to identify such factors. Cup Size Figure 2: Amount of fluid poured in the free pouring task by the subject for themselves and the experimenter. Both the size of the cup and who the subject was pouring for significantly altered the amount poured. The standard drink line is the amount of fluid in a 12 oz beer. Error bars denote SEM and * p < 0.05. Does Internet Pornography Use Impact the Amount of Fluid Poured To investigate this we divided subjects into those that have or have not used internet pornography within the last two weeks and then asked them to pour a standard drink. Figure 3 Figure 4 Table 1 (study 2 data are bold) Average Age Ethnicity Religion 19.7 (0.17) 19.5 (1.1) 92 White 98 White 37 Catholic 43 Catholic 12 Non-White 14 Non-White 42 Christian 26 Other 27 Other Figure 4: Correlation between the number of days using internet pornography in the last two weeks and the amount of fluid poured for females. R2 = +0.56 Figure 3: Those who use internet pornography tend to pour more fluid in a simulated alcohol pouring task.