Association for Behavior Analysis International

The Association for Behavior Analysis International® (ABAI) is a nonprofit membership organization with the mission to contribute to the well-being of society by developing, enhancing, and supporting the growth and vitality of the science of behavior analysis through research, education, and practice.


49th Annual Convention; Denver, CO; 2023

Event Details

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Symposium #54
CE Offered: BACB
Health, Sport, and Fitness Special Interest Group (SIG) Grant Recipients: Exciting New Areas of Research
Saturday, May 27, 2023
3:00 PM–3:50 PM
Convention Center Mile High Ballroom 2B
Area: CSS/TBA; Domain: Applied Research
Chair: Tyler Ré (The Chicago School of Professional Psychology)
CE Instructor: Tyler Ré, Ph.D.

This symposium will include three recently completed projects by the 2021 Behavior Analysis in Health, Sport, and Fitness Special Interest Group (HSF SIG) research grant recipients. The purpose of the HSF SIG Small Research Grant is to support experimental research that demonstrates the application of behavior analysis to address human behavior in the areas of health, sport, or fitness. Additional goals of this program are to disseminate behavior analytic research and practice and to expand research opportunities for students of behavior analysis. The first presentation will describe a study that evaluates whether ultramarathon runners who discount more steeply across monetary delay discounting tasks than non-ultrarunning peers. It then takes a within group analysis to evaluate whether motivation and presumed effort would cause additional changes to discounting rates. The second presentation will examine the effects of self-monitoring and goal setting on the number of elevated heart rate minutes accrued each week in overweight adults. The final presentation will describe a study that investigated the use of a remote video-based training on the ball direction prediction in goalkeepers. This study investigated components of a BST approach and slow motion videos as a possible training intervention. Recipients of the 2023 HSF SIG Small Research Grant will be announced at the end of the session.

Instruction Level: Basic
Keyword(s): Delay Discounting, HSF, Self-Management, Video Training
Target Audience:

graduate students, researchers, behavior analysts interested in the application of behavior analysis to health, sport, and fitness

Learning Objectives: Attendees will be able to identify applications of behavior science in health, sport and fitness by: 1. describe an application of delayed discounting within health, sport and fitness application of behavior analysis. 2. identify the implications of self-management on maintaining an elevated heart rate to achieve selected personal goals. 3. identify the importance of kinematic variables associated with predictive behavior in soccer.

Delay Discounting in Ultramarathon Runners: Identifying the Indifference Point in Finishing the Barkley’s Fall Classic

AMY RACHEL BUKSZPAN (Endicott College, Butterfly Effects), David J. Cox (RethinkFirst; Endicott College), Victoria Lovelace (TSI Health, LLC)

Ultramarathon running is a quickly developing sport with a growing research base (Garbisu-Hualde & Santos-Concejero, 2020). Despite findings that imply that ultramarathon runners make unhealthy decisions, other findings suggest that ultramarathon runners are less likely to take risks and more likely to be health motivated (Hoffman & Krouse, 2018). This study aims to evaluate whether ultramarathon runners who ran The Barkley Fall Calssic in 2022, discount more steeply across monetary delay discounting tasks than non-ultrarunning peers. It then takes a within group analysis to evaluate whether motivation and presumed effort would cause additional changes to discounting rates. This research seeks to extend the work of Ostaszewski et al. (2013) on cognitive and physical effort on discounting rates as well as Kopetz et al. (2021) on motivation and discounting. Lastly this study seeks to create a functioning model to predict whether motivation or effort cause certain ultramarathon runners to discount race completion more steeply than others and if coaches can utilize this knowledge to improve training and race performance.


The Effects of Self-Monitoring and Goal Setting on the Number of Minutes Engaged in an Elevated Heart Rate

AMBER LAMPERT (32803), Rachael Tilka (Western Michigan University), Jonathan K Fernand (Florida Institute of Technology)

The CDC recommends that adults engage in moderate physical activity for 150 minutes or vigorous activity for 75 minutes each week. These measures can be observed with ease with the assistance of a heart rate monitor. The present research utilizes a changing criterion design with an embedded withdrawal to evaluate the effects of self-monitoring and feedback on the number of minutes participants engage in an elevated heart rate. The participants in this study were adults over the age of 18, overweight with a BMI of at least 25, and had an interest in losing weight. Participant’s selected weekly goals, wore a smart watch daily, and engaged in self-monitoring. Self-monitoring consisted of hand graphing their data if they reach their weekly goal and submitting a checklist and supplemental materials to the researcher each week. The majority of the current research in behavior analysis focuses on increasing daily distance traveled and/or steps taken through a pedometer. Although these studies have shown positive results, they do not account for intensity in real time and assume the intensity based on the topography and/or description of the behavior. Thus, this study holds potential to expand the current literature regarding self-monitoring and weight loss.

Effects of a Video-Based Training on the Prediction of Ball Direction in Penalty Kicks
JAIR YEPEZ TORRES (The Chicago School of Professional Psychology), Tyler Ré (The Chicago School of Professional Psychology), Kathryn L. Kalafut (The Chicago School of Professional Psychology), Chrystal Jansz Rieken (The Chicago School of Professional Psychology)
Abstract: Predicting the behavior of the opponent player is an important skill during penalty kick actions in soccer. Research has shown different kinematic variables that reliably correlate with the direction of a soccer ball during penalty kicks. However, research has not identified an effective training strategy that uses these variables to train goalkeepers. This study used the support foot angle to train goalkeepers as this variable is one of the earliest sources of information that predicts ball direction and one of the easiest variables to detect from a goalkeeper’s frontal view. A combination of instruction, modeling, practice, and feedback was used to train three amateur goalkeepers remotely. A multiple baseline design across participants was used to analyze the effects of these interventions on the goalkeeper’s prediction of ball direction during penalty kick videos. Additionally, slow-motion videos were used as a remedial training strategy to increase ball direction prediction. Results of the study showed that the use of practice and feedback when in combination with slow-motion videos were effective at increasing the prediction of ball direction across participants. Nevertheless, only one participant was able to reach mastery criteria with videos at 100% speed. Despite this limitation, all participants showed an increased accuracy of ball direction prediction during maintenance sessions when compared to baseline. Results of this study showed that it is possible to train goalkeepers remotely for behaviors that incorporate multiple components such as the prediction of ball direction.



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