O.4.3-7 Mothers’ experiences of supporting their daughter to be physically active: a qualitative analysis
Bibliographic record
Abstract
Abstract Purpose Girls are more at risk of non-communicable diseases associated with insufficient levels of physical activity (PA). Maternal support plays an important role in girl’s PA. Yet little is known about how mothers provide support to keep their daughters active. The aim of this study was to explore mothers’ experiences of supporting their daughter to be physically active. Methods A qualitative study with semi-structured interviews was conducted with a purposive sample of mothers (n = 29) of girls (Mean age =10.9 years; SD = 0.6). Reflexive Thematic Analysis was used to analyse the data, with themes/subthemes mapped to the relevant domains of the Theoretical Domains Framework (TDF). Results Most mothers recognised the importance of supporting their daughter to be active. Themes highlighted how a mother’s identity and confidence in supporting their daughter to be active influenced supportive behaviours. Social interactions played an important role in facilitating or inhibiting how a mother supports her daughter. The circumstances of a mother’s environment and her perceptions of her daughter’s attitudes towards PA influenced the type of support mothers provided. Conclusion The findings advance our understanding of maternal PA support behaviours which will inform strategies to enhance maternal PA support with the ultimate goal of improving girls’ participation in PA. Future research should explore the appropriate behaviour change techniques for maternal PA support and involve mothers in the co-design process to develop interventions that are more feasible, acceptable and implementable.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".