Enhanced Response Inhibition During Intensive Meditation Training Predicts Improvements in Self-Reported Adaptive Socioemotional Functioning
Abstract
We examined the impact of training-induced improvements in self-regulation, operationalized in terms of response inhibition, on longitudinal changes in self-reported adaptive socioemotional functioning. Data were collected from participants undergoing 3 months of intensive meditation training in an isolated retreat setting (Retreat 1) and a wait-list control group that later underwent identical training (Retreat 2). A 32-min response inhibition task (RIT) was designed to assess sustained self-regulatory control. Adaptive functioning (AF) was operationalized as a single latent factor underlying self-report measures of anxious and avoidant attachment, mindfulness, ego resilience, empathy, the five major personality traits (extroversion, agreeableness, conscientiousness, neuroticism, and openness to experience), difficulties in emotion regulation, depression, anxiety, and psychological well-being. Participants in Retreat 1 improved in RIT performance and AF over time whereas the controls did not. The control participants later also improved on both dimensions during their own retreat (Retreat 2). These improved levels of RIT performance and AF were sustained in follow-up assessments conducted approximately 5 months after the training. Longitudinal dynamic models with combined data from both retreats showed that improvement in RIT performance during training influenced the change in AF over time, which is consistent with a key claim in the Buddhist literature that enhanced capacity for self-regulation is an important precursor of changes in emotional well-being.
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Mindfulness practices are associated with improving self-regulatory abilities.
“Mindfulness practices have been associated with benefits for coping with stress, anxiety, and depression [23,25,26,27], improving compassion and increasing prosocial (e.g., helping or relationship-promoting) behaviors [28,29,30], bolstering attention and working (e.g., short-term) memory [31,32], improving self-regulatory abilities (e.g., self-control) [33], and supporting physical health [34,35,”
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Background
- Authors
- Sahdra, B. K., MacLean, K. A., Ferrer, E., Shaver, P. R., Rosenberg, E. L., Jacobs, T. L., Zanesco, A. P., King, B. G., Aichele, S. R., Bridwell, D. A., Mangun, G. R., Lavy, S., Wallace, B. A., & Saron, C. D.
- Affiliations
- University of California, Davis (US)
- Ariel University (IL)
- University of California Davis Medical Center (US)
- ORCID
- Venue
- Emotion
- Published
- 2011-04
- Volume
- 11
- Issue
- 2
- Pages
- 299-312
- ISSN
- 1528-3542 (ISSN-L)
- 1931-1516
- OpenAlex
- W2018175027
- Cited by
- 197
- References
- 76
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 12 · 2023: 8 · 2022: 13 · 2021: 11 · 2020: 17 · 2019: 11 · 2018: 14 · 2017: 11 · 2016: 22 · 2015: 14 · 2014: 13 · 2013: 25 · 2012: 9
- FWCI
- 18.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Emotion (publishedVersion)
- PubMed (publishedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Social Sciences › Health › Religion, Spirituality, and Psychology
- Keywords
- meditation training, response inhibition, self-regulation, emotion regulation, mindfulness, ego-resilience, empathy, personality traits, attachment, psychological well-being, Buddhist psychology, longitudinal change
- MeSH terms
- Adaptation, Psychological, Adult, Aged, Empathy, Female, Humans, Inhibition, Psychological, Male, Middle Aged, Personality Inventory, Psychological Tests, Surveys and Questionnaires, Social Adjustment, Meditation, Young Adult, Emotional Intelligence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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