RETRACTED: Effects of the application of a food processing-based classification system in obese women: A randomized controlled pilot study
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
Background: Obesity is one of the major public health problems worldwide and contributes to the onset of many diseases, especially the ones related to the metabolic syndrome. The new Dietary Guidelines for the Brazilian population bring a new food classification based on food processing and prioritizes the consumption of fresh or minimally processed foods. Aim: This study analyzed the effects of an educational intervention on obese women, on their weight loss, quality of life, components of the metabolic syndrome and pain. Methods: Randomized controlled pilot study, including 40 obese women, randomized into 2 groups: control group and intervention group. An educational intervention with 5 biweekly meetings of 90 min based on the Dietary Guidelines for the Brazilian population (2014) was carried out involving the intervention group. Parameters related to weight loss, quality of life (SF-36), pain (McGill), bioelectrical impedance analysis, cardiorespiratory fitness, and serum and clinical components of metabolic syndrome, as well as serum concentrations of cytokines were assessed. Results: Significantly decrease of body mass, waist and hip circumferences, basal metabolic rate, extracellular water, body capacitance, and body cell mass were observed in the intervention group after 3 months. Reduction of pain and improvement in quality of life and cardiorespiratory fitness were also observed in the intervention group. There were reductions in waist circumference and glycemia, components of metabolic syndrome. Conclusions: This study showed that the educational intervention can be associated with weight loss, increase in quality of life, reduction of pain, and better metabolic syndrome parameters in obese women.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".