Physiological and behavioral effects of interpersonal validation: A multilevel approach to examining a core intervention strategy among self‐injuring adolescents and their mothers
Bibliographic record
Abstract
OBJECTIVE: The current study examined how teaching an interpersonal validation-oriented skill from dialectical behavior therapy affects behavioral and biological indices of self-inflicted injury (SII) risk among self-injuring adolescents and their mothers (n = 30 dyads), and typical control mother-daughter dyads (n = 30). METHOD: Behavioral indicators of family functioning (e.g., cohesion, coercion, and invalidation) and a physiological index of emotion dysregulation (respiratory sinus arrhythmia [RSA]) were examined across two conflict tasks (pre- and postskills training). RESULTS: Dyads' subjective affect and observed behavior generally improved when practicing validation. Findings indicate mother-, daughter-, and dyad-level behavior accounted for significant variance in RSA reactivity. CONCLUSIONS: Results demonstrate that teaching a single skill on one occasion can have detectable effects on biosocial functioning, with important implications for the etiology and treatment of SII.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".