Body Mass Index and Nationality (Argentine vs. Spanish) Moderate the Relationship Between Internalization of the Thin Ideal and Body Dissatisfaction: A Conditional Mediation Model
Bibliographic record
Abstract
It is believed that Women’s exposure to Western sociocultural pressures to attain a “thin-ideal” results in the internalization of a desire to be thin that consequently leads to body dissatisfaction (BD). It is also well documented that body mass index (BMI; kg/m2) correlates with BD. We tested for the first time a conditional mediation model where thin-ideal Awareness predicted BD through Internalization of the thin ideal and the path from Internalization to BD was hypothesized to be moderated by BMI and Nationality (Argentine vs Spanish). The model was tested with a sample of 499 young women (age = 18 to 29) from Argentina (n = 290) and Spain (n = 209). Awareness and internalization were measured with the SATAQ-4 (Schaefer et al., 2015) and BD was measured with the BSQ (Cooper et al., 1987). The model was analyzed using PROCESS v3.1 (Hayes, 2018). As hypothesized, thin-ideal awareness predicted BD through internalization and the path from internalization to BD was moderated by BMI and nationality. Specifically, internalization predicted BD at all level of BMI and in both samples, but the relationship between internalization and BD increased with BMI and was also stronger among Spaniards than Argentines. We argue that the findings congruent with theories that predict that economic development and modernization contribute to normative female BD through internalization of the thin ideal and that upward social comparisons or cognitive discrepancy between self-perceived body image and the sociocultural thin ideal interacts synergistically with thin-ideal internalization to increase BD.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".