“It’s what mothers do.” A qualitative exploration of mothers’ experiences of supporting their daughter to be physically active
Bibliographic record
Abstract
OBJECTIVE: Girls are more at risk than boys of the non-communicable diseases associated with insufficient levels of physical activity (PA), therefore it is important to explore the reasons why girls maintain or cease to be physically active. Maternal support plays an important role in girl's PA, yet the factors influencing mothers' support of their PA have received limited exploration. In response, the aim of this study was to explore, mothers' experiences of supporting their daughters to be physically active and their perceptions of the factors that might influence these experiences. METHOD: Semi-structured interviews were 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 mapped to the relevant domains of the Theoretical Domains Framework. RESULTS: Themes highlighted how mothers described providing PA support as an inherent part of their parental role and how their role was influenced by their own PA identity. Mothers recognised that the type and amount of support they provided was impacted by the community setting in which they lived. Mothers acknowledged how the role of others (e.g., partners, grandparents, peers) added a layer of complexity to supporting their daughters to be active. CONCLUSION: This study advances our understanding of maternal PA support behaviours recognising the complex interplay of individual, social and environmental factors. Additionally, the use of the Theoretical Domains Framework presents an in-depth behavioural diagnosis which can be used to inform future theory-based interventions to promote parent support of children's 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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".