Perceived barriers to achieving a healthy weight: a qualitative study using focus groups at public and private schools in Guatemala City
Bibliographic record
Abstract
BACKGROUND: Overweight prevalence among Guatemalan girls is higher in public than in private schools. Little is known about adolescent girls' perceptions of the right ways to achieve a healthy weight. This study examines public and private school adolescent girls' perceptions of a "healthy weight," and barriers and facilitators to achieving it. METHODS: We conducted 4 focus groups in public and private schools in Guatemala City with girls from 13 to 15 years old. The discussion guide included open-ended questions and activities aimed at examining perceptions of "healthy weight" and barriers and motivators to achieving it within the school environment. Focus groups were audio-recorded and transcribed. Data analyses followed established methods of content analysis. RESULTS: Twenty-eight girls (private school, n = 12; public school, n = 16) of ages ranging from 13.1 to 15.9 years (median, 14, IQR, 13.6-14.9) participated in the study. Girls identified images of thin and fit women as healthy. They cited healthy eating and physical activity as ways to achieve a healthy weight. Within the school environment, barriers to maintaining a healthy weight included a lack of healthy food options and the prioritization of sports for boys over girls. In public schools, facilities were less than optimal; in private schools, girls' access to facilities was limited. Public school girls stated that their uniforms were inappropriate for exercising. CONCLUSION: Our findings support the need to provide more healthy food options in Guatemalan schools. In addition, physical activity for girls should be promoted and facilities made available for their use.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".