The role of identity in parental support for physical activity and healthy eating among overweight and obese children
Bibliographic record
Abstract
Introduction: Parental support behaviors are established predictors of children's physical activity and healthy eating. However, little is known about predictors of these parental support behaviors. Identity (i.e. a component of the self-concept) has been hypothesized to be an influential construct that may be associated with a variety of behavioral antecedents and behavior itself. Specifically, research suggests healthy eating or physical activity parental support affective attitude may predict parental identity, and that identity may predict support behavior directly and indirectly through support self-regulation (e.g. planning). Thus, this study expands on past literature by exploring these antecedents and outcomes of parental identity in the context of parental support for physical activity and healthy eating among overweight and obese children.Methods: Using a cross-sectional survey design, 83 parents (61.4% female) with at least one overweight or obese child completed measures assessing parental support affective attitude, parental identity, support self-regulation, and actual support behaviors. Path analysis was conducted to examine model fit and hypothesized relationships between variables for eating and physical activity separately.Results: For both behavioral domains, the model fit was good. Parental support affective attitude predicted parental identity, parental identity predicted support self-regulation, and support self-regulation predicted support behavior. Further, for both behaviors, support self-regulation mediated the relationship between parental identity and support behavior. Finally, parental identity also directly predicted support behavior for physical activity but not eating.Conclusions: The results demonstrate the importance of identity in parental support behaviors. These results also show that fostering enjoyable experiences for parents while supporting their children may strengthen their supportive identities.
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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 | 0.001 | 0.005 |
| 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) | 0.002 | 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".