Effect of a school-based multicomponent intervention on time-segmented physical activity and sedentary behavior among adolescents: a cluster randomized control trial
Bibliographic record
Abstract
BACKGROUND: Interventions have focused on evaluating effective strategies for increasing physical activity (PA) and reducing sedentary behavior (SB) in children and adolescents, which is still a challenge mainly in low- and middle-income countries. Thus, this study aimed to assess the effect of the Movimente Study on device-measured PA and SB in two-time segments of the school day amongst Brazilian adolescents. METHODS: Six elementary schools were randomized into the intervention (IG) or control group (CG). Participants were in 7th -9th grades. A school year (2017) multicomponent intervention was delivered consisting of three components: (1) teacher training, (2) education curriculum, and (3) school environment. PA and SB were assessed using GT3x + ActiGraph hip-worn accelerometers. The trial's primary outcome was overall device-measured PA and SB. Exploratory secondary analyses examined PA and SB within in-School (08:00-11:59) and out-of-school (12:00-22:00) time segments. A two-level linear mixed model assessed the effect of the intervention on light-intensity PA (LPA), moderate- to vigorous-intensity PA (MVPA), SB, and MVPA/SB ratio within and between groups. RESULTS: There was a significant effect on the IG compared to the CG for MVPA (Coefficient [Coef.] = 16.2; 95% Confidence Interval [95%CI] = 6.9;25.5; p-value = 0.001), SB (Coef. = -22.7; 95%CI = -44.7;-0.7; p-value = 0.043), and MVPA/SB ratio (Coef. = 3.2; 95%CI = 1.2;5.3; p-value = 0.002) performed in the out-of-school segment, but not in the In-school segment. However, there were no significant differences within- nor between-group differences in LPA in both day segments. CONCLUSION: The Movimente Study was associated with greater increases in MVPA, improvements in the MVPA/SB ratio, and reductions in SB during the out-of-school period compared with control peers. TRIAL REGISTRATION: Clinical Trials - NCT02944318. Registration Date: 10/24/2016.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".