Body Dissatisfaction: Among Middle-aged and Older Women
Bibliographic record
Abstract
With the growing pervasiveness of mass media, individuals of all ages and both sexes are bombarded with images that glorify youthfulness, messages that tie self-worth to thinness, and products that promise youth and beauty forever. Aging women are vulnerable to these societal messages and experience strong pressures to maintain their youth and thinness. As the physiological changes that accompany normal aging move these women farther from the "ideal" image, body dissatisfaction may increase. These women are confronted with the impossible task of trying to defy the natural process of aging through a variety of means, including fashion, cosmetics, selective surgeries, and personal food choices. The resulting body image issues, weight preoccupation, and eating disturbances can lead to voluntary food restriction, depression, social withdrawal, lower self-esteem, and disordered eating, all of which can have a negative impact on quality of life and nutritional status. In this review we explore existing research on body dissatisfaction among middle-aged (30 to 60) and older (over 60) women, discuss the prevalence of body dissatisfaction, its predisposing risk factors, and the resulting eating and body maintenance behaviours, and examine implications for dietetic practice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".