Developing an Instrument to Evaluate Psychosocial and Environmental Determinants of Parental Monitoring of Sugar-Sweetened Beverages
Bibliographic record
Abstract
Sugar-sweetened beverage (SSB) consumption among children and adolescents is a public health concern, as up to 88% consume them on a daily basis. While much research has been done regarding what types of foods parents feed their children and how that is linked to various health outcomes, research determining how parents monitor there children’s SSB consumption has not been well studied. Identifying important environmental and psychosocial determinants of parental-monitoring behaviors is a greatly needed area for investigation. The purpose of this study was to develop and validate a theory-based instrument related to this parenting practice. Initially, a 41-item instrument was developed and face and content validity were established using a panel of 6 experts. Next, the survey was administered to 270 parents (29 parents completed the survey twice). Psychometric properties tested of the instrument included construct validity, using the maximum likelihood extraction method of factor analysis, internal consistency reliability, using Cronbach’s alpha, and test-retest reliability using Pearson-product moment correlations between instrument results taken at two separate occasions. Initial results suggested some scales required re-specification, which included removing weak and/or non-related items. Results from this study can be used to assist future health professionals and researchers for measuring theory-based determinants of parental practices related to monitoring SSB consumption. This process can also be replicated to construct instruments measuring other critical obesogenic behaviors, such as monitoring fruit and vegetable consumption, or physical activity.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".