“You are either sporty or you are not” a qualitative exploration of pre-teen girls of low-socioeconomic position experiences of being physically active
Bibliographic record
Abstract
BACKGROUND: Eighty one percent of adolescents do not meet the recommended physical activity (PA) guidelines with levels of physical activity declining steadily with age and more pronounced in girls of low socioeconomic position (SEP). Furthermore, early adolescence is a time when the rate of decline in PA is most severe amongst girls, placing them at an increased likelihood of developing negative health outcomes associated with physical inactivity. In response, the aim of this study was to explore low-SEP pre-teen girls' experiences of being physically active and to understand their perceptions of the individual, social and environmental factors that influence these experiences. METHODS: Focus groups were conducted with 107 girls aged 10-12 years from four urban and three rural primary schools. Reflexive thematic analysis was used to analyse the data, with themes mapped to the relevant domains of the Theoretical Domains Framework (TDF). RESULTS: Themes highlighted how skills and confidence underpin girls' self-identity for PA. Girls described how their social network (i.e., peers, family, coaches and teachers) shaped their experiences of being active. Girls recognised how being active was impacted by the challenges and opportunities in their local community (e.g., lack of facilities and anti-social behaviour). CONCLUSION: This study provides insight into low-SEP pre-teen girls' experiences of being physically active in both rural and urban locations, while highlighting the complex interplay of individual, social and environmental factors. Additionally, the use of the TDF presents an in-depth behavioural diagnosis which can be used to inform future theory-based interventions to promote low-SEP pre-teen girls PA.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".