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.

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34th Annual Convention; Chicago, IL; 2008

Event Details


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Symposium #337
CE Offered: BACB
Behavioral Interventions for Health and Fitness
Monday, May 26, 2008
9:00 AM–10:20 AM
Boulevard A
Area: CBM/CSE; Domain: Applied Research
Chair: Matthew P. Normand (University of the Pacific)
Discussant: Raymond G. Miltenberger (University of South Florida)
CE Instructor: Matthew P. Normand, Ph.D.
Abstract:

The papers in this symposium will describe low-cost and relatively non-invasive interventions to increase healthy behavior in typically developing adult populations.

 
Increasing Physical Activity Through Self-Monitoring, Goal-Setting and Feedback.
MATTHEW P. NORMAND (University of the Pacific)
Abstract: Excess body weight, especially obesity, is a problem of increasing social significance. Because physical activity can both decrease body weight and prevent weight gain, it is an especially suitable target for behavioral intervention. A package intervention consisting of self-monitoring, goal-setting, and feedback was used to increase the physical activity of healthy adults. A combined multiple baseline and reversal design was arranged to evaluate the effects of the intervention the number of steps taken each day by participants, as recorded by a pedometer. The intervention increased the number of steps taken across participants, but there were no changes in participant body weight during the intervention. The results suggest that a relatively simple and low-cost intervention can be used to increase the physical activity of at least some adults.
 
Increasing Calorie Expenditure through Task Clarification, Goal Setting, Self-Monitoring, and Feedback.
JEANNE M. DONALDSON (Florida Institute of Technology), Matthew P. Normand (University of the Pacific)
Abstract: Obesity has become a leading cause of health problems in the United States, creating a great need for interventions to increase physical activity. In this experiment, a package intervention consisting of task clarification, goal setting, self-monitoring, and feedback was evaluated across 4 participants in a multiple baseline design with a brief reversal for 2 of the 4 participants. Minor changes were made to the goal setting component for 2 participants in an attempt to increase calorie expenditure further. A fifth participant received task clarification, goal setting, and self-monitoring, which were evaluated in an ABAB reversal design. The level of increase was somewhat variable, but the intervention package was successful at increasing calorie expenditure in all 5 participants. Additionally, all participants reported that the research was beneficial and their physical activity level increased as a result of participating in the study.
 
Reducing Calorie and Fat Consumption Through Task Clarification and Individualized Feedback.
MATTHEW RUSSELL OSBORNE (Florida Institute of Technology), Matthew P. Normand (University of the Pacific)
Abstract: The current study attempted to decrease daily calorie and fat consumption among college undergraduates eating at multiple university dining establishments. Task clarification and feedback were administered to 4 participants daily via electronic mail communication. Calorie and fat data were generated from a participant's purchase history via itemized receipts and food checklists from each meal. A majority of the participants benefited from their individualized dietary feedback and subsequently made healthier food selections. This study contributed to the existing literature on personalized dietary feedback and its effects food selection behavior. Specifically, it investigated the effectiveness of an efficient, non-invasive, and non incentive-based approach towards preventing unhealthy food selection behavior.
 

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