Abstract MP12: Lay- vs Professional-led Weight Loss Interventions for Overweight and Obese Youth: A Systematic Review and Network Meta-analysis
Bibliographic record
Abstract
Context: In this network meta analysis, we examine the short and long-term effects of professional and lay-led behavioural interventions for obese youth. Objective: The appropriate approach for weight loss among overweight and obese youth remains unclear. We evaluated the comparative effectiveness of behavioural pediatric weight loss interventions led by lay persons and professionals. Data Sources: MEDLINE, Embase, the Cochrane Library, and CINAHL between January 1996 and June 2019. Study Selection: Randomized controlled trials of behavioural lifestyle interventions that enrolled overweight and obese children and adolescents (5-18 years old) administered for at least 12 weeks. Data Extraction: A network meta-analyses using a Bayesian framework and Markov-chain Monte-Carlo simulation methods were used to combine direct and indirect evidence. The immediate and sustained change from baseline in weight (kg) and body mass index (BMI; kg/m2) were primary outcomes. Results: Of 34,384 citations retrieved, we included 78 RCTs (4,556 participants), delivered for 12 to 104 weeks. Compared to standard care, professional-led weight loss interventions were associated with a significant reduction in body weight [-1.6 kg, 95% credible interval (CrI) -2.3, -0.99, 64 trials] that was not sustained long-term [-1.02 kg, 95% CrI -2.2, +0.34, 21 trials]. There was no evidence of a meaningful weight loss for lay-led interventions in the short-term [-1.4 kg; 95% CrI -3.0, +0.26; 5 trials], or long-term [-0.98 kg, 95% CrI -3.6, +1.8, 1 trial] compared to standard care. Direct comparisons revealed expert and lay-led interventions yield similar effects (-0.25 kg, 95%CrI -1.9, +1.3, 5 trials). Conclusions: Professional-led weight loss interventions are the most effective for achieving and sustaining weight reduction among overweight and obese youth. There is a need for high quality trials of lay-led weight loss interventions for obese youth.
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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 | 0.030 | 0.082 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.035 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".