Analysis of structural equations of emotional distress based on family emotional atmosphere and attachment styles mediated by differentiation and body image of married people
Bibliographic record
Abstract
Aim and Background: Research has shown that emotional distress can be affected by body image and family circumstances.Therefore; the aim of this study was to analyze the structural equations of emotional malaise based on family emotional atmosphere and attachment styles mediated by differentiation and body image. Methods and Materials:The research method is descriptive-correlation of structural equations.The statistical population consisted of all married men and women living in District 2 of Tehran in 1399.The sample size was estimated to be 400 using the method proposed by Schumacher and Lomax (2004).Sampling method was available and online.Research tools included questionnaires including Toronto Mood Disorder (1994), Hillburn Family Emotional Atmosphere (1964), Collins and Reed Attachment Styles (1990), Scorne and Friedlander (1988) Differentiation, and Director and Garcia (2002) Body Image.They were.To analyze the data, structural equation modeling technique was used in AMOS software environment.Findings: Findings showed that anxious attachment style has a positive and dependency and closeness style, family emotional atmosphere, self-differentiation and body image have a negative and significant effect on emotional malaise.It also mediates the effect of anxiety attachment style on emotional malaise in a positive way and the effect of closeness attachment style on emotional malaise in a negative and significant way.Body image mediates the effect of anxiety attachment style on emotional malaise in a positive way and the effect of closeness attachment style on emotional malaise in a negative and meaningful way.Self-differentiation mediates AND Body images the effect of family emotional climate on emotional malaise in a negative and meaningful way.Conclusions: It seems that improving the emotional atmosphere of the family and attachment style, both directly and by increasing their self-esteem and improving their body image, is effective in reducing emotional distress in married people.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".