Cultural Determinants of Body Image: What About the Menopausal Transition?
Bibliographic record
Abstract
Body image is an important aspect of psychological well-being that is influenced by several biological and psychosocial risk factors. Cultural determinants of body image include the patterns of shared beliefs, values, practices, and social norms within a group that can act as a lens through which a person perceives, compares, and evaluates their body. Women tend to experience higher rates of body dissatisfaction than men, with reproductive milestones such as puberty, pregnancy, and postpartum being windows of vulnerability for body image concerns. The menopausal transition is another reproductive stage of women's lives that involves major physical changes, psychological challenges, and social pressures that can impact body image negatively. However, the literature on the influence of cultural determinants on the body image of menopausal women is limited. Therefore, this perspective review paper aims to discuss the potential role of cultural determinants in influencing body image satisfaction in women undergoing the menopausal transition. To this end, the relationships between different cultural perspectives and body image around the world are first discussed. Sociocultural influences on body image throughout women's lifespan and reproductive stages are then presented. Finally, cultural perspectives on menopause and aging and their potential influence on the body image of menopausal women are explored. This paper underscores the importance of considering culture and sociocultural factors when studying body image and highlights the need for further research on the cultural determinants of body image during the menopausal transition.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".