What is the mindful personality? Implications for physical and psychological health
Bibliographic record
Abstract
Given the paucity of research examining relationships between mindfulness and specific facets of personality, we conducted detailed analyses to explore associations between personality facets, dispositional mindfulness, and health. Overall, 781 participants completed the Five Factor Mindfulness Questionnaire (FFMQ), the Big Five Inventory-2 (BFI-2) to measure personality factors and facets, and the RAND 36-Item Health Survey 1.0 (RAND-36). As expected, BFI-2 factors and facets and FFMQ subscales, except Observing, were consistently correlated. Canonical correlations of BFI-2 facets and FFMQ subscales provided two statistically significant functions. Function 1, Self-Regulation, included FFMQ Acting with Awareness, Non-Judging, and Non-Reacting, as well as BFI-2 Negative Emotionality (Anxiety, Depression, Emotional Volatility), Conscientiousness (Productiveness, Responsibility), and Extraversion (Assertiveness, Energy). Function 2, Self-Awareness, comprised of FFMQ Describing and Observing, and all facets of Open-Mindedness. A latent profile analysis produced three latent profiles: Self-Regulation was defined by higher FFMQ subscales as well as higher Extraversion (all facets), Agreeableness (all facets), Conscientiousness (all facets), and lower Negative Emotionality (all facets); Self-Dysregulation was defined by lower scores on most FFMQ subscales, BFI-2 Extraversion facet scores, Agreeableness (Trust), Conscientiousness (Productiveness), and higher Negative Emotionality facets; and, an Average profile included midrange levels of mindfulness and personality facets. Further, there were statistically significant differences in RAND-36 physical and psychological health based on the latent profiles. The novel findings examining the facet-level relationship between personality and mindfulness contribute to prior inconclusive literature. These results presenting a nuanced understanding of the association between dispositional mindfulness and personality provide preliminary information suggesting that self-regulation can affect health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".