Momentary appearance focused self‐concept is associated with dietary restraint and binge eating in female university students: An experience sampling study
Bibliographic record
Abstract
OBJECTIVE: Appearance focused self-concept (i.e., overvaluing the importance of appearance for self-definition and self-worth) is theorized to predict dietary restraint and binge eating in the short-term (e.g., daily life). Yet, no research has examined whether appearance focused self-concept increases within-persons during a day and if such increases are linked to greater dietary restraint and binge eating for that day. We addressed this gap in knowledge. METHOD: Sixty-three female university students completed four items from the Beliefs About Appearance Scale as a measure of appearance focused self-concept six times per day (9 am, 11 am, 1 pm, 3 pm, 5 pm, and 7 pm) for 14 days. Daily at 9 pm, they completed measures of dietary restraint and binge eating for that day. RESULTS: Analyzing data from 555 days, latent growth curve analyses revealed a small-to-moderate linear increase in appearance focused self-concept from 9 am to 3 pm that plateaued from 3 to 7 pm. A more rapid linear increase in appearance focused self-concept from 9 am to 3 pm was associated with greater binge-eating frequency during that day, but not with dietary restraint. The findings were observed when adjusting for between-day appearance focused self-concept at 9 am, which was positively associated with dietary restraint and binge-eating frequency. DISCUSSION: Findings are discussed in relation to research on appearance focused self-concept as a risk factor for disordered eating. Findings are also discussed in relation to how sociocultural factors may increase appearance focused self-concept over time. Future research should delve into the within-day dynamic interplay between appearance focused self-concept and disordered eating. PUBLIC SIGNIFICANCE: Our study revealed a noteworthy increase in the importance women attach to their appearance over the course of a day, correlating with increased binge eating during that day. Additionally, heightened appearance importance at the onset of a day was associated with more dietary restraint and binge eating during that day. These findings suggest a shorter timescale for the connection between appearance importance and disordered eating than previously understood.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".