Tailored Inhibitory Control Training to Reverse EA-linked Deficits in Mid-life
Completed · Not applicable
Conditions studied: Smoking, Alcohol Drinking, Prescription Drug Abuse, Substance-Related Disorders, Oral Intake Reduced
In brief
Insufficient inhibitory control is one pathway through which early adversity is related to a range of problems including excessive alcohol use, tobacco use, and unhealthy eating. The proposed research leverages a neurally informed model of inhibitory control and how it can be improved to test the efficacy of a person-centered inhibitory control intervention in a sample of mid-life individuals with early adversity. The knowledge obtained by this study could be scaled into a flexible, low-cost, and wide-ranging intervention to remediate some of the effects of early adversity on inhibitory control and thus a number of prevalent health risking behaviors.
Key facts
- Study ID
- NCT02945371
- Run by
- University of Oregon
- People needed
- 103
- Starts
- 2014-09-01
- Expected to finish
- 2016-05-01
- Last updated by the study team
- 2016-10-26
Who can join
Age: 35 and older, up to 55. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- Age 35-55
- Experience of early adversity (EA) before age 18 (EA is be defined as a score of 4 or higher on the Adverse Childhood Experiences (ACEs) questionnaire [Felitti, Anda, Nordenberg, Williamson, Spitz, Edwards, et al., 1998])
- IC difficulties such as disinhibited alcohol use, tobacco use, or food intake during adulthood. IC difficulties will be self-reported based on questions from the self-control questionnaire (Tangney, Baumeister, \& Boone, 2004) modified to be specific to alcohol, tobacco, and energy-dense food intake (e.g., "I am self-indulgent with unhealthy food at times", "I refuse alcohol when offered") using a 4-point Likert-style scale.
You may not qualify if…
- Individuals over age 55 will be excluded because of established functional and structural neural changes that begin to escalate at that time (Good, Johnsrude, Ashburner, Henson, Friston, \& Frackowiak, 2001; Grady, Springer, Hongwanishkul, McIntosh, \& Winocur, 2006)
- Given the high rates of morbidity for such disorders among people with high EA, we will not exclude based on past diagnoses for any of those disorders or based on current drug and alcohol use. However, we will exclude individuals who do not pass a urine toxicology screen during either of the functional magnetic resonance imaging (fMRI) sessions to ensure that the neuroimaging data are as homogeneous and reliable as possible.
- Participants who cannot undergo an MRI scan will be excluded; contraindications include metal implants (e.g., braces, pins) or metal fragments, pacemakers or other electronic medical implants, claustrophobia, pregnancy, and weight greater than 550 lbs.
- Beyond these criteria, participants will be recruited without exclusions based on gender, race, or ethnicity, so our sample will reflect the diversity in the local population (Lane County, Oregon) with regard to gender, race, and ethnicity.
Where it is running
- University of Oregon, Social and Affective Neuroscience Laboratory — Eugene, Oregon, United States
Full record on ClinicalTrials.gov
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