Body Satisfaction and Associated Predictors Among Baby Boomer Women in Rural and Urban Manitoba
Bibliographic record
Abstract
Purpose: This study examines body satisfaction, weight attitudes, dieting behaviours, and aging concerns of baby boomer women (BBW; born 1946–1965) from rural and urban Manitoba. Methods: Primary data collection occurred November 2015, and 1083 participants completed the Body Image and Food Choice Survey. Four strata of BBW were represented to examine differences between older and younger BBW and location of residence. Multinomial logistic regression models were fit to determine predictors of weight and appearance satisfaction. Odds ratios and 95% confidence intervals were considered significant at p ≤ 0.05. Results: Fifty-three percent of participants were satisfied with their appearance, whereas only 34% were satisfied with their weight. Ninety-one percent desired to lose weight (29.9 ± 29.3 lbs). Aging anxiety was evident for 46% of participants and associated with appearance satisfaction (χ2 = 27.46, df = 4, p < 0.001). Body work and dieting behaviours were used to mitigate body dissatisfaction, and media influence was associated with both appearance (χ2 = 76.17, df = 6, p < 0.001) and weight satisfaction (χ2 = 67.90, df = 6, p < 0.001). Desired weight change, appearance stress, appearance importance, and self-rated health predicted both weight and appearance satisfaction. Conclusions: There is a need for greater awareness of aging women’s body image concerns and the need for age-appropriate tools/resources to help dietitians support women achieve a healthy body image.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".