Family Communication Patterns, Alexithymia, and Functions of Non-suicidal Self-injury among a Clinical Sample of Young Female Adults
Bibliographic record
Abstract
Non-suicidal self-injury (NSSI) refers to the conscious or intentional attempt to harm oneself without the aim of suicide (Klonsky, 2011). This study aims to identify family communication patterns and alexithymia as the correlates and predictors of two functions of NSSI (interpersonal & intrapersonal) among a sample of 82 (Mage = 21.76; SD =2.34) young adult females with mental health disorders and a history of NSSI. This study used a correlational research design, and through a purposive sampling strategy, the data were collected from a government hospital in Lahore. The study used the Revised Family Communication Patterns Scale, Toronto Alexithymia Scale, and Inventory of Statements about Self-Injury. The findings revealed a strong positive and significant relationship of conformity orientation (a subscale of family communication patterns), difficulty in identifying feelings, and difficulty in describing feelings (two facets of alexithymia) with the intrapersonal function of NSSI. The intrapersonal function of NSSI was also significantly and positively predicted by difficulties in describing feelings of Alexithymia. The findings of the study contribute to the indigenous literature and help mental health professionals design interventions in treating NSSI targeting emotional regulation and parent-child communication.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".