Short-term effects of a non-dieting lifestyle intervention program on weight management, fitness, metabolic risk, and psychological well-being in obese premenopausal females with the metabolic syndrome
Bibliographic record
Abstract
Lifestyle modification has been widely acknowledged as the primary treatment for the metabolic syndrome (MetS). We examined the short-term effects of a non-dieting lifestyle intervention program, within the theoretical psychological framework of self-determination theory (SDT), on metabolic fitness and psychological well-being among premenopausal, clinically obese women. A secondary analysis of a randomized, controlled, 3 month, intensive, community-based lifestyle intervention study was performed on 31 pre-menopausal obese women with the MetS (56.4% of original study sample). These participants had been randomly allocated to a non-dieting lifestyle intervention group (n = 17) or waiting list control (n = 14). Among participants who completed repeat anthropometric and cardiorespiratory fitness measurements after 3 months intervention, the lifestyle intervention group showed a significant improvement in VO2 (mL.kg(-1).min(-1)) compared with control (test for interaction, p = 0.003). No significant difference was found for body mass. Metabolic improvements were evident for diastolic blood pressure and high-density lipoprotein cholesterol in both groups. The lifestyle intervention group also showed significantly improved general psychological well-being compared with the control group (test for interaction, p = 0.0005). All of the psychological well-being subscales showed significant favourable changes in the intervention group as compared with controls. This short-term, non-dieting lifestyle intervention, consistent with the "Health at Every Size" (HAES) obesity treatment paradigm, significantly improved cardiorespiratory fitness and psychological well-being. Metabolic risk tended to improve after 3 months intervention with no significant difference in the resolution of the MetS between intervention and control participants.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".