Change in weight and body composition in obese subjects following a hypocaloric diet plus different training programs or physical activity recommendations
Bibliographic record
Abstract
The aim of the present study was to compare the effects of different physical activity programs, in combination with a hypocaloric diet, on anthropometric variables and body composition in obese subjects. Ninety-six obese (men: n = 48; women: n = 48; age range: 18-50 yr) participated in a supervised 22-wk program. They were randomized into four groups: strength training (S; n = 24), endurance training (E; n = 26), combined strength + endurance training (SE; n = 24), and physical activity recommendations (C; n = 22). In addition, all groups followed the same hypocaloric diet. At baseline and at the end of the intervention, dietetic and physical activity variables were assessed using validated questionnaires. Anthropometric variables were recorded along with body composition variables measured using dual-energy X-ray absorptiometry techniques. At the end of the intervention, significant improvements were seen within groups in terms of body weight (S: -9.21 ± 0.83 kg; E: -10.55 ± 0.80 kg; SE: -9.88 ± 0.85 kg; C: -8.69 ± 0.89 kg), and total fat mass (S: -5.24 ± 0.55%; E: -5.35 ± 0.55%; SE: -4.85 ± 0.56%; C: -4.89 ± 0.59%). No differences were seen between groups at this time in terms of any other anthropometric or body composition variables examined. All groups increased their total physical activity in metabolic equivalents (MET) per week during the intervention, but with no difference between groups (S: 976 ± 367 MET-min/wk; E: 954 ± 355 MET-min/wk; SE: 1 329 ± 345 MET-min/wk; C: 763 ± 410 MET-min/wk). This study shows that, when combined with a hypocaloric diet, exercise training and adherence to physical activity recommendations are equally effective at reducing body weight and modifying body composition in the treatment of obesity (Clinical Trials Gov. number: NCT01116856).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".