Impact of walking on eating behaviors and quality of life of premenopausal and early postmenopausal obese women
Bibliographic record
Abstract
OBJECTIVE: Aerobic exercise is known to improve health-related quality of life (QoL). The aim of this study was to compare the effects of a 16-week walking program on eating behaviors and QoL between late premenopausal and early postmenopausal obese and sedentary women, once chronological aging is taken into account. METHODS: Sixteen women 49 +/- 2 years old and 14 women 53 +/- 2 years old, whose body mass index ranged between 29 and 35 kg/m, were subjected to three sessions per week of 45-minute walking at 60% of their heart rate reserve. Fat mass and lean mass (bioelectrical impedance), cardiorespiratory fitness estimated by maximum oxygen consumption (2-km walking test), eating behaviors (Three-Factor Eating Questionnaire), and QoL, estimated by the Short Form-36 Health Survey, Pittsburgh Sleep Quality Index, and Perceived Stress Scale-10 questionnaires, were recorded before and after exercise. RESULTS: With the exception of a higher attitude of self-regulation in postmenopausal than in premenopausal women (P = 0.05), no between-group differences were observed in body composition, eating behaviors, and QoL at baseline. In all participants, body weight and fat mass decreased, whereas cardiorespiratory fitness increased after walking (0.001 < P < 0.0001). Situational susceptibility was the only eating behavior reduced after training in all women (P = 0.02). Neither the sleep quality index nor the perceived stress score changed in response to endurance exercise. Finally, in all women, Short Form-36 physical and mental scores increased after walking (0.001 < P < 0.05). CONCLUSIONS: Despite modest body weight and fat mass losses, a 16-week walking program seems to be sufficient to improve physical and mental well-being, irrespective of menopause status.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".