Are alexithymia and emotional characteristics of disclosure associated with blood pressure reactivity and psychological distress following written emotional disclosure/
Bibliographic record
Abstract
OBJECTIVES: This study had three aims: 1) to investigate whether cardiovascular responses to laboratory stress and levels of emotional distress were attenuated following written emotional disclosure; 2) to test, in addition to the potential main effects, whether levels of alexithymia moderated the impact of writing; and 3) to examine whether alexithymics who successfully disclosed emotion in their essays would experience positive effects following writing. DESIGN AND METHODS: Eighty-seven participants wrote about their most stressful life experience or about a non-stressful experience, for 15 minutes, over 3 consecutive days. Two weeks later, blood pressure (BP) responses to laboratory stress and levels of emotional distress were assessed. Emotional characteristics of the disclosure essays were analysed with the Linguistic Inquiry and Word Count programme and alexithymia was assessed at baseline using the Toronto Alexithymia Scale-20. RESULTS: Analyses found no evidence in support of the main effects of disclosure on cardiovascular responses to stress or on emotional distress. However, alexithymia was found to moderate the impact of writing such that non-alexithymic participants in the experimental condition reported significantly lower emotional distress 2 weeks later. In addition, alexithymic participants who disclosed a greater number of negative when compared with positive emotion words exhibited reduced systolic and diastolic responses to stress. Conversely, non-alexithymic participants who disclosed more positive and less negative emotion words displayed attenuated BP reactivity to stress. CONCLUSIONS: The results of this exploratory study are important as they highlighted, in the absence of main effects, the importance of examining potential moderators of the emotional writing process. These findings may have implications for the development of cardiovascular health interventions.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".