Barriers and facilitators to lifestyle behavior change and goal setting in adolescents with polycystic ovary syndrome
Bibliographic record
Abstract
Purpose: To identify barriers and facilitators to lifestyle modifications and goal setting and characterize goal setting for adolescents with polycystic ovary syndrome (PCOS). Methods: objectives and characterized for emerging themes using qualitative content analysis. Results: Five major themes of barriers and facilitators to behavior change emerged: interest and motivation, family involvement, resources and food environment, taste preferences, and self-efficacy. RDNs set ≥3 goals with 52%, 2 goals with 35%, 1 goal with 9%, and no goals with 3% of adolescents with PCOS. Goals covered three major themes: incorporation of the United States Department of Agriculture (USDA) MyPlate model, modifying carbohydrate intake, and increasing physical activity. Conclusion: The facilitators and barriers identified through our analysis are both similar and different to those reported in adolescents with obesity and women with PCOS, likely due to differences in condition specific contexts and life stage. The goals recorded by RDNs reflect a desire to increase diet quality; however, too many goals may have been set on average. Overall, adolescents with PCOS report intrapersonal, interpersonal, and environmental barriers and facilitators that may affect their ability to establish and act upon goals.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".