Brief Repeated Attention Training for Psychological Distress: Findings from Two Experiments

Psychological distress is understood to be maintained by attention. We performed two experiments examining the impact of attention training (AT) on psychological distress symptoms. <i>Experiment one</i> (<i>N</i> = 336) investigated what effects might be detected in a simple experimental design with longitudinal measurements, while <i>experiment two</i> (<i>N</i> = 214) examined whether using a different emotional stimulus could induce an immediate anxiolytic effect in response to AT. Attentional biases were operationalized as the target search latency correlated with mood and psychological distress scores. While limited evidence of attentional biases was found in participants with higher mood distress, correlations emerged in the experimental conditions at day thirty, indicating a relationship between task latency, stress, and changes in depression (experimental one). We found no immediate between-within-group differences in outcome when including different emotional stimuli (experiment two). Despite attentional biases being less apparent in community samples, attentional training for bias modification was effective in eliciting positive biases, leading to improved mood. Notably, participants in the control condition reported the greatest mood and psychological distress improvements, whereas changes in the experimental condition primarily pertained to attentional biases. Taken together, these findings suggest that AT tasks can improve distress, but not through changes in attentional biases.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2025-08-03
DOI
https://doi.org/10.3390/bs15081052
Primary Topic
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Brief Repeated Attention Training for Psychological Distress: Findings from Two Experiments

David Skvarc, Shahni Watts, Alexa Hayley, Shannon Hyder et al.
Behavioral Sciences
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
article

Brief Repeated Attention Training for Psychological Distress: Findings from Two Experiments

David Skvarc, Shahni Watts, Alexa Hayley, Shannon Hyder, Lewis Burns, Laetitia Leary, Marcus Seecamp
article en

Abstract

Psychological distress is understood to be maintained by attention. We performed two experiments examining the impact of attention training (AT) on psychological distress symptoms. <i>Experiment one</i> (<i>N</i> = 336) investigated what effects might be detected in a simple experimental design with longitudinal measurements, while <i>experiment two</i> (<i>N</i> = 214) examined whether using a different emotional stimulus could induce an immediate anxiolytic effect in response to AT. Attentional biases were operationalized as the target search latency correlated with mood and psychological distress scores. While limited evidence of attentional biases was found in participants with higher mood distress, correlations emerged in the experimental conditions at day thirty, indicating a relationship between task latency, stress, and changes in depression (experimental one). We found no immediate between-within-group differences in outcome when including different emotional stimuli (experiment two). Despite attentional biases being less apparent in community samples, attentional training for bias modification was effective in eliciting positive biases, leading to improved mood. Notably, participants in the control condition reported the greatest mood and psychological distress improvements, whereas changes in the experimental condition primarily pertained to attentional biases. Taken together, these findings suggest that AT tasks can improve distress, but not through changes in attentional biases.

Behavioral SciencesVol. 15(8)
Deakin University (AU)
Openalex Percentile: Top 80%
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.