Objective: Loneliness is common among young people and is associated with negative health outcomes. Because loneliness is associated with a bias for interpreting social situations as threatening, cognitive bias modification for interpretation (CBM-I) training is a potential early intervention tool. We developed and delivered a single session of mental imagery enhanced digital CBM-I training, assessing feasibility, acceptability, and magnitude of change in interpretational style and loneliness.
Method: CBM-I training materials were developed using a co-creation approach with 18-25-year-olds with experience of loneliness. Another group of 18-25-year-olds with high loneliness received either online CBM-I (n = 29) or control (n = 27) training.
Results: CBM-I training uptake and retention rates were 88% and 92%, respectively. Participants found the training acceptable. The CBM-I group showed a reduction in social threat interpretations (d = 0.77), an increase in social benign interpretations (d = 0.84), and a decrease in loneliness (d = 0.56). The control group showed a small reduction in social threat interpretations (d = 0.21), no change in social benign interpretations (d = 0.04), and an increase in loneliness (d = 0.41).
Conclusions: Interpretation biases relevant to youth loneliness may be modifiable, and CBM-I training could reduce feelings of loneliness. This informs psychological models of loneliness, and the development of CBM-I interventions targeting loneliness in young people.
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http://dx.doi.org/10.1016/j.brat.2023.104380 | DOI Listing |
PLOS Digit Health
January 2025
Department of Psychology, University of Virginia, Charlottesville, Virginia, United States of America.
Anxiety is highly prevalent among college communities, with significant numbers of students, faculty, and staff experiencing severe anxiety symptoms. Digital mental health interventions (DMHIs), including Cognitive Bias Modification for Interpretation (CBM-I), offer promising solutions to enhance access to mental health care, yet there is a critical need to evaluate user experience and acceptability of DMHIs. CBM-I training targets cognitive biases in threat perception, aiming to increase cognitive flexibility by reducing rigid negative thought patterns and encouraging more benign interpretations of ambiguous situations.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.
Background: Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can provide practice thinking about ambiguous situations in less threatening ways on the web without requiring a therapist. However, digital mental health interventions, including CBM-I, are often plagued with lack of sustained engagement and high attrition rates.
View Article and Find Full Text PDFHealth Psychol Behav Med
August 2024
Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, People's Republic of China.
Introduction: This study examined the training effects of an online game-based cognitive bias modification for interpretation (CBM-I) program in reducing fear during the COVID-19 pandemic in Hong Kong. In addition to investigating the changes in both proximal (i.e.
View Article and Find Full Text PDFBehav Res Ther
October 2024
The University of Western Australia, School of Psychological Science, WA, Australia.
This study aimed to determine the causal role of insomnia-consistent interpretation bias within the cognitive model of insomnia, by modifying this bias in students experiencing subclinical levels of insomnia and assessing subsequent effects on sleep parameters. A sample of 128 students underwent randomization to receive either a single session of online Cognitive Bias Modification-Interpretation (CBM-I) or a sham training. Participants then tracked their pre-sleep worry and sleep parameters for seven consecutive days.
View Article and Find Full Text PDFJ Consult Clin Psychol
June 2024
University of Virginia, Department of Psychology.
Objective: Web-based cognitive bias modification for interpretation (CBM-I) can improve interpretation biases and anxiety symptoms but faces high rates of dropout. This study tested the effectiveness of web-based CBM-I relative to an active psychoeducation condition and the addition of low-intensity telecoaching for a subset of CBM-I participants.
Method: 1,234 anxious community adults (Mage = 35.
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