Satisfaction with partner’s appearance, body criticism, and relationship quality in heterosexual couples: A dyadic study
Bibliographic record
Abstract
Physical appearance and attraction are key factors shaping dynamics and perceptions in romantic relationships, contributing to satisfaction and overall relationship quality. This study aimed to investigate the associations between appearance-related factors and relationship quality in heterosexual couples using the actor-partner interdependence model (APIM). Specifically, we examined how each partner's perceptions of body criticism from the other, satisfaction with the partner's appearance, perceived partner satisfaction with one's appearance, and relationship quality are interrelated. A dyadic model was tested to include both intrapersonal (actor-to-actor) and interpersonal (actor-to-partner) associations. The sample consisted of 167 heterosexual adult couples from Quebec, Canada. The findings revealed small to moderate similarity within couples regarding satisfaction with their partner's appearance, perceived partner satisfaction with their own appearance, and perceived body criticism. Actors' satisfaction with their partner's appearance was associated both directly and indirectly (through perceived partner satisfaction with one's appearance) with their own relationship quality. Interestingly, women's satisfaction with their partner's appearance was directly associated with their partner's relationship quality, a pattern not observed in men. Additionally, individuals who reported higher levels of body criticism from their partner perceived lower partner satisfaction with their appearance, which was linked to poorer relationship quality. Overall, these results underscore the complex interplay between appearance-related perceptions and mutual satisfaction in fostering relationship quality.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".