Lifestyle Challenges in Endometrial Cancer Survivorship
Bibliographic record
Abstract
OBJECTIVE: To examine lifestyle behaviors that may contribute to endometrial cancer survivor morbidity and to identify associations with quality of life. METHODS: Patients with early-stage (I or II) endometrial cancer with a body mass index of at least 25 kg/m2 completed questionnaires on smoking, physical activity, fruit and vegetable intake, and the Functional Assessment of Cancer Therapy (FACT) and Short-Form medical outcomes (SF-36) quality-of-life surveys. Behaviors were compared with American Cancer Society 2006 guidelines for cancer survivors (150 min/wk of moderate-to-vigorous physical activity; five servings fruit and vegetables per day; no smoking). Effect size (d) was calculated for the difference in means between meeting and not meeting guidelines (d=0.5 moderate effect). RESULTS: A total of 120 participants were enrolled. Of those, 43% had hypertension, 35% osteoarthritis, 33% metabolic syndrome, 21% type 2 diabetes mellitus, and 93% abdominal obesity. Only 12% of participants were meeting physical activity guidelines. Fifteen percent reported five or more servings of fruit and vegetables per day; mean intake was 2.6 servings per day. Seventy-four percent of participants were nonsmokers. Only 1% of participants met all three American Cancer Society guidelines; 22% met none of the recommendations. The emotional well-being (mean 17.4 [±4.1] compared with 20.1 [±4.1]; d=0.66) and fatigue scores (mean 34.6 [±9.5] compared with 40.5 [±9.6]; d=0.62) indicate that those who do not meet the guidelines had lower emotional well-being and increased fatigue. CONCLUSION: Endometrial cancer survivors have unhealthy lifestyles that put them at risk for morbidity. This survivor group should be offered multi-behavioral lifestyle interventions after diagnosis. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, www.clinicaltrials.gov, NCT 00420979 and NCT00732173. LEVEL OF EVIDENCE: II.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".