Parent–Adolescent Patterns of Physical Activity, Sedentary Behaviors and Sleep Among a Sample of Overweight and Obese Adolescents
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to examine the association between parent and adolescent levels of physical activity, sedentary behaviors, and sleep among a group of overweight and obese adolescents. METHODS: Baseline data of parent-adolescent pairs who enrolled in a lifestyle modification intervention were analyzed for this study (n = 176). Participants completed questionnaires about their screen time (TV, video game, and computer time), wore an accelerometer for 8 days, and completed a sleep diary for 1 week. In total, 98 parent-adolescent dyads provided valid data for the analyses. Multivariable regression analyses were conducted to assess the relationship between parent and adolescent's moderate-to-vigorous activity (MVPA), step counts, sedentary behaviors, and sleep duration. Analyses were split by weekday, weekday evening and weekend. RESULTS: Parent-adolescent MVPA was significantly associated on weekdays (b = 0.18; SE = 0.08; β = 0.26), weekday evenings (b = 0.21; SE = 0.08; β = 0.28), and weekends (b = 0.29; SE = 0.12; β = 0.27). This study found associations between parent-child video game time on weekends (b = 1.10; SE = 0.49; β = 0.24) and computer time on weekdays (b = 0.42; SE = 0.19; β = 0.23). Adolescent sleep was associated with parental sleep on weekdays only (b = 0.38; SE = 0.09; β = 0.46). CONCLUSION: The findings warrant further investigation into the direction and mechanism of the relationship between parent and adolescent weight related behaviors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".