Overweight children and adolescents referred for weight management: are they meeting lifestyle behaviour recommendations?
Bibliographic record
Abstract
Adopting and maintaining healthy lifestyle behaviours can help overweight boys and girls manage their weight and reduce obesity-related health risks. However, we currently know very little about the lifestyle habits of overweight children and adolescents referred for weight management in Canada and whether or not they are meeting current lifestyle recommendations. The objectives of this study were (i) to determine the demographic characteristics and lifestyle behaviours of overweight children and adolescents referred for clinical weight management, and (ii) to examine sex (boys vs. girls) and (or) age (child vs. youth) differences with respect to the achievement of lifestyle behaviour recommendations. Overweight (age- and sex-specific body mass index > or = 85th percentile) children (n = 27 girls, n = 24 boys) and adolescents (n = 29 girls, n = 19 boys) were referred to and enrolled in weight-management programs at the Pediatric Centre for Weight and Health (PCWH) at the Stollery Children's Hospital (Edmonton, Alta.) from January 2006-September 2007. Information was collected at intake regarding demography, anthropometry, and lifestyle behaviours before participants started a formal weight-management program. Lifestyle behaviour recommendations for nutrition, physical activity, screen time, and sleep were used to determine whether participants were meeting established guidelines. Overall, participants presented with poor lifestyle behaviours. Although most consumed adequate servings of grain products (93.9%) and meat and alternatives (68.7%), few met the serving recommendations for milk and alternatives (31.3%) or vegetables and fruit (14.1%). Physical activity levels were low - 7.4% and 4.1% achieved the recommended time and steps per day goals, respectively. Approximately 1/4 (22.7%) met the screen time recommendation, whereas fewer than 1/2 (47.4%) achieved the nightly sleep duration goal. Sex and age-group comparisons revealed subtle, but potentially important, differences in lifestyle behaviours that have implications for pediatric weight management. This study highlights the sub-optimal lifestyle behaviours of overweight children and adolescents referred for weight management. Intervention studies are needed to determine whether overweight boys and girls who achieve the lifestyle behaviour targets included in this study are able to successfully manage their weight and (or) reduce obesity-related health risks.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".