Behavioural Determinants of Obesity (Physical Activity, Sedentarism and Diet) according to Socioeconomic Position in Chile: Protocol for a Systematic Review
Bibliographic record
Abstract
Obesity is a major public health problem in Chile, with 70% of people aged over 15 years being overweight or obese. The prevalence of obesity in Chile is highest among the most socioeconomically disadvantaged groups. The reasons underpinning socioeconomic gradients in obesity such as, differences in obesity-related behaviours like physical activity, sedentary behaviours and diet, are unclear but could provide targets for intervention. Therefore, the aim of this review is to examine associations of socioeconomic position (SEP) with physical activity, sedentarism and diet in Chile. Electronic searches will be conducted using MEDLINE, Scopus, PsycINFO, Web of Sciences and LILACS. We will supplement database searches with grey literature, websites and hand-searching references. We will include observational studies that contain at least one obesity-related behaviour measure (physical activity, sedentarism and/or diet), compares at least two SEP groups and includes data from individuals of any age and gender residing in Chile. Studies in English and Spanish will be included. Study screening, data extraction and quality appraisal will be conducted by two independent reviewers and any disagreement will be settled with the remaining authors. Quality assessment will be undertaken by adapting the Newcastle Ottawa Quality Assessment Scale for cohort and cross-sectional studies. This review will provide evidence on the differences in obesity-related behaviours (physical activity, sedentarism and diet) among different socioeconomic groups in Chile. Findings will be used to inform public health strategies aiming to reduce the inequalities in the prevalence of obesity in Chile.
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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 | 0.060 | 0.062 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.022 | 0.023 |
| Bibliometrics | 0.017 | 0.014 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.064 | 0.007 |
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".